Sample records for misr interactive explorer

  1. MISR Instrument Data Visualization

    NASA Technical Reports Server (NTRS)

    Nelson, David; Garay, Michael; Diner, David; Thompson, Charles; Hall, Jeffrey; Rheingans, Brian; Mazzoni, Dominic

    2008-01-01

    The MISR Interactive eXplorer (MINX) software functions both as a general-purpose tool to visualize Multiangle Imaging SpectroRadiometer (MISR) instrument data, and as a specialized tool to analyze properties of smoke, dust, and volcanic plumes. It includes high-level options to create map views of MISR orbit locations; scrollable, single-camera RGB (red-greenblue) images of MISR level 1B2 (L1B2) radiance data; and animations of the nine MISR camera images that provide a 3D perspective of the scenes that MISR has acquired. NASA Tech Briefs, September 2008 55 The plume height capability provides an accurate estimate of the injection height of plumes that is needed by air quality and climate modelers. MISR provides global high-quality stereo height information, and this program uses that information to perform detailed height retrievals of aerosol plumes. Users can interactively digitize smoke, dust, or volcanic plumes and automatically retrieve heights and winds, and can also archive MISR albedos and aerosol properties, as well as fire power and brightness temperatures associated with smoke plumes derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Some of the specialized options in MINX enable the user to do other tasks. Users can display plots of top-of-atmosphere bidirectional reflectance factors (BRFs) versus camera-angle for selected pixels. Images and animations can be saved to disk in various formats. Also, users can apply a geometric registration correction to warp camera images when the standard processing correction is inadequate. It is possible to difference the images of two MISR orbits that share a path (identical ground track), as well as to construct pseudo-color images by assigning different combinations of MISR channels (angle or spectral band) to the RGB display channels. This software is an interactive application written in IDL and compiled into an IDL Virtual Machine (VM) ".sav" file.

  2. JMISR INteractive eXplorer

    NASA Technical Reports Server (NTRS)

    Nelson, David L.; Diner, David J.; Thompson, Charles K.; Hall, Jeffrey R.; Rheingans, Brian E.; Garay, Michael J.; Mazzoni, Dominic

    2010-01-01

    MISR (Multi-angle Imaging SpectroRadiometer) INteractive eXplorer (MINX) is an interactive visualization program that allows a user to digitize smoke, dust, or volcanic plumes in MISR multiangle images, and automatically retrieve height and wind profiles associated with those plumes. This innovation can perform 9-camera animations of MISR level-1 radiance images to study the 3D relationships of clouds and plumes. MINX also enables archiving MISR aerosol properties and Moderate Resolution Imaging Spectroradiometer (MODIS) fire radiative power along with the heights and winds. It can correct geometric misregistration between cameras by correlating off-nadir camera scenes with corresponding nadir scenes and then warping the images to minimize the misregistration offsets. Plots of BRF (bidirectional reflectance factor) vs. camera angle for points clicked in an image can be displayed. Users get rapid access to map views of MISR path and orbit locations and overflight dates, and past or future orbits can be identified that pass over a specified location at a specified time. Single-camera, level-1 radiance data at 1,100- or 275- meter resolution can be quickly displayed in color using a browse option. This software determines the heights and motion vectors of features above the terrain with greater precision and coverage than previous methods, based on an algorithm that takes wind direction into consideration. Human interpreters can precisely identify plumes and their extent, and wind direction. Overposting of MODIS thermal anomaly data aids in the identification of smoke plumes. The software has been used to preserve graphical and textural versions of the digitized data in a Web-based database.

  3. Stereoscopic Height and Wind Retrievals for Aerosol Plumes with the MISR INteractive eXplorer (MINX)

    NASA Technical Reports Server (NTRS)

    Nelson, D.L.; Garay, M.J.; Kahn, Ralph A.; Dunst, Ben A.

    2013-01-01

    The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard the Terra satellite acquires imagery at 275-m resolution at nine angles ranging from 0deg (nadir) to 70deg off-nadir. This multi-angle capability facilitates the stereoscopic retrieval of heights and motion vectors for clouds and aerosol plumes. MISR's operational stereo product uses this capability to retrieve cloud heights and winds for every satellite orbit, yielding global coverage every nine days. The MISR INteractive eXplorer (MINX) visualization and analysis tool complements the operational stereo product by providing users the ability to retrieve heights and winds locally for detailed studies of smoke, dust and volcanic ash plumes, as well as clouds, at higher spatial resolution and with greater precision than is possible with the operational product or with other space-based, passive, remote sensing instruments. This ability to investigate plume geometry and dynamics is becoming increasingly important as climate and air quality studies require greater knowledge about the injection of aerosols and the location of clouds within the atmosphere. MINX incorporates features that allow users to customize their stereo retrievals for optimum results under varying aerosol and underlying surface conditions. This paper discusses the stereo retrieval algorithms and retrieval options in MINX, and provides appropriate examples to explain how the program can be used to achieve the best results.

  4. Arctic PBL Cloud Height and Motion Retrievals from MISR and MINX

    NASA Technical Reports Server (NTRS)

    Wu, Dong L.

    2012-01-01

    How Arctic clouds respond and feedback to sea ice loss is key to understanding of the rapid climate change seen in the polar region. As more open water becomes available in the Arctic Ocean, cold air outbreaks (aka. off-ice flow from polar lows) produce a vast sheet of roll clouds in the planetary boundary layer (PBl). The cold air temperature and wind velocity are the critical parameters to determine and understand the PBl structure formed under these roll clouds. It has been challenging for nadir visible/IR sensors to detect Arctic clouds due to lack of contrast between clouds and snowy/icy surfaces. In addition) PBl temperature inversion creates a further problem for IR sensors to relate cloud top temperature to cloud top height. Here we explore a new method with the Multiangle Imaging Spectro-Radiometer (MISR) instrument to measure cloud height and motion over the Arctic Ocean. Employing a stereoscopic-technique, MISR is able to measure cloud top height accurately and distinguish between clouds and snowy/icy surfaces with the measured height. We will use the MISR INteractive eXplorer (MINX) to quantify roll cloud dynamics during cold-air outbreak events and characterize PBl structures over water and over sea ice.

  5. MISR Interactive Explorer (MINX) : Production Digitizing to Retrieve Smoke Plume Heights and Validating Heights Against Lidar Data

    NASA Technical Reports Server (NTRS)

    Dunst, Ben

    2011-01-01

    The height at which smoke from a wildfire is injected into the atmosphere is an important parameter for climatology, because it determines how far the smoke can be transported. Using the MINX program to analyze MISR (Multi-angle Imaging Spectro-Radiometer) data, I digitized wildfire smoke plumes to add to an existing database of these heights for use by scientists studying smoke transport and plume dynamics. In addition to using MINX to do production digitizing of heights, I assisted in gathering lidar data for an ongoing validation of MINX and helped evaluate those data.

  6. MISR Stereo-heights of Grassland Fire Smoke Plumes in Australia

    NASA Astrophysics Data System (ADS)

    Mims, S. R.; Kahn, R. A.; Moroney, C. M.; Gaitley, B. J.; Nelson, D. L.; Garay, M. J.

    2008-12-01

    Plume heights from wildfires are used in climate modeling to predict and understand trends in aerosol transport. This study examines whether smoke from grassland fires in the desert region of Western and central Australia ever rises above the relatively stable atmospheric boundary layer and accumulates in higher layers of relative atmospheric stability. Several methods for deriving plume heights from the Multi-angle Imaging SpectroRadiometer (MISR) instrument are examined for fire events during the summer 2000 and 2002 burning seasons. Using MISR's multi-angle stereo-imagery from its three near-nadir-viewing cameras, an automatic algorithm routinely derives the stereo-heights above the geoid of the level-of-maximum-contrast for the entire global data set, which often correspond to the heights of clouds and aerosol plumes. Most of the fires that occur in the cases studied here are small, diffuse, and difficult to detect. To increase the signal from these thin hazes, the MISR enhanced stereo product that computes stereo heights from the most steeply viewing MISR cameras is used. For some cases, a third approach to retrieving plume heights from MISR stereo imaging observations, the MISR Interactive Explorer (MINX) tool, is employed to help differentiate between smoke and cloud. To provide context and to search for correlative factors, stereo-heights are combined with data providing fire strength from the Moderate-resolution Imaging Spectroradiometer (MODIS) instrument, atmospheric structure from the NCEP/NCAR Reanalysis Project, surface cover from the Australia National Vegetation Information System, and forward and backward trajectories from the NOAA HYSPLIT model. Although most smoke plumes concentrate in the near-surface boundary layer, as expected, some appear to rise higher. These findings suggest that a closer examination of grassland fire energetics may be warranted.

  7. MISR Observations of Etna Volcanic Plumes

    NASA Technical Reports Server (NTRS)

    Scollo, S.; Kahn, R. A.; Nelson, D. L.; Coltelli, M.; Diner, D. J.; Garay, M. J.; Realmuto, V. J.

    2012-01-01

    In the last twelve years, Mt. Etna, located in eastern Sicily, has produced a great number of explosive eruptions. Volcanic plumes have risen to several km above sea level and created problems for aviation and the communities living near the volcano. A reduction of hazards may be accomplished using remote sensing techniques to evaluate important features of volcanic plumes. Since 2000, the Multiangle Imaging SpectroRadiometer (MISR) on board NASA s Terra spacecraft has been extensively used to study aerosol dispersal and to extract the three-dimensional structure of plumes coming from anthropogenic or natural sources, including volcanoes. In the present work, MISR data from several explosive events occurring at Etna are analyzed using a program named MINX (MISR INteractive eXplorer). MINX uses stereo matching techniques to evaluate the height of the volcanic aerosol with a precision of a few hundred meters, and extracts aerosol properties from the MISR Standard products. We analyzed twenty volcanic plumes produced during the 2000, 2001, 2002-03, 2006 and 2008 Etna eruptions, finding that volcanic aerosol dispersal and column height obtained by this analysis is in good agreement with ground-based observations. MISR aerosol type retrievals: (1) clearly distinguish volcanic plumes that are sulphate and/or water vapor dominated from ash-dominated ones; (2) detect even low concentrations of volcanic ash in the atmosphere; (3) demonstrate that sulphate and/or water vapor dominated plumes consist of smaller-sized particles compared to ash plumes. This work highlights the potential of MISR to detect important volcanic plume characteristics that can be used to constrain the eruption source parameters in volcanic ash dispersion models. Further, the possibility of discriminating sulphate and/or water vapor dominated plumes from ash-dominated ones is important to better understand the atmospheric impact of these plumes.

  8. Quantification of Asian Dust Plume Seasonal Dynamics and Regional Features

    NASA Technical Reports Server (NTRS)

    Goetz, Michael

    2011-01-01

    Dust is but one of many aerosols that are analyzed at the Jet Propulsion Laboratory in Pasadena. The purpose of this paper is to describe the process in analyzing and digitizing dust within a source region to better explain the work achieved by my internship. This paper will go over how to view collected data by Multi-angle Imaging SpectroRadiometer (MISR) [1] and the procedure of downloading data to be analyzed. With this data, one can digitize dust plumes using two methods called plume lines and plume polygons with the help of the software MISR INteractive eXplorer (MINX)[3]; thus, the theory of MINX's[3] algorithm and these methods are discussed in detail. Research was gathered from these techniques and emphasis is also focused on the obtained data and results.

  9. MISR CMVs and Multiangular Views of Tropical Cyclone Inner-Core Dynamics

    NASA Technical Reports Server (NTRS)

    Wu, Dong L.; Diner, David J.; Garay, Michael J; Jovanovic, Veljko M.; Lee, Jae N.; Moroney, Catherine M.; Mueller, Kevin J.; Nelson, David L.

    2010-01-01

    Multi-camera stereo imaging of cloud features from the MISR (Multiangle Imaging SpectroRadiometer) instrument on NASA's Terra satellite provides accurate and precise measurements of cloud top heights (CTH) and cloud motion vector (CMV) winds. MISR observes each cloudy scene from nine viewing angles (Nadir, +/-26(sup o), +/-46(sup o), +/-60(sup o), +/-70(sup o)) with approximatel 275-m pixel resolution. This paper provides an update on MISR CMV and CTH algorithm improvements, and explores a high-resolution retrieval of tangential winds inside the eyewall of tropical cyclones (TC). The MISR CMV and CTH retrievals from the updated algorithm are significantly improved in terms of spatial coverage and systematic errors. A new product, the 1.1-km cross-track wind, provides high accuracy and precision in measuring convective outflows. Preliminary results obtained from the 1.1-km tangential wind retrieval inside the TC eyewall show that the inner-core rotation is often faster near the eyewall, and this faster rotation appears to be related linearly to cyclone intensity.

  10. Aerosol Airmass Type Mapping Over the Urban Mexico City Region From Space-based Multi-angle Imaging

    NASA Technical Reports Server (NTRS)

    Patadia, F.; Kahn, R. A.; Limbacher, J. A.; Burton, S. P.; Ferrare, R. A.; Hostetler, C. A.; Hair, J. W.

    2013-01-01

    Using Multi-angle Imaging SpectroRadiometer (MISR) and sub-orbital measurements from the 2006 INTEX-B/MILAGRO field campaign, in this study we explore MISR's ability to map different aerosol air mass types over the Mexico City metropolitan area. The aerosol air mass distinctions are based on shape, size and single scattering albedo retrievals from the MISR Research Aerosol Retrieval algorithm. In this region, the research algorithm identifies dust-dominated aerosol mixtures based on non-spherical particle shape, whereas spherical biomass burning and urban pollution particles are distinguished by particle size. Two distinct aerosol air mass types based on retrieved particle microphysical properties, and four spatially distributed aerosol air masses, are identified in the MISR data on 6 March 2006. The aerosol air mass type identification results are supported by coincident, airborne high-spectral-resolution lidar (HSRL) measurements. Aerosol optical depth (AOD) gradients are also consistent between the MISR and sub-orbital measurements, but particles having single-scattering albedo of approx. 0.7 at 558 nm must be included in the retrieval algorithm to produce good absolute AOD comparisons over pollution-dominated aerosol air masses. The MISR standard V22 AOD product, at 17.6 km resolution, captures the observed AOD gradients qualitatively, but retrievals at this coarse spatial scale and with limited spherical absorbing particle options underestimate AOD and do not retrieve particle properties adequately over this complex urban region. However, we demonstrate how AOD and aerosol type mapping can be accomplished with MISR data over complex urban regions, provided the retrieval is performed at sufficiently high spatial resolution, and with a rich enough set of aerosol components and mixtures.

  11. Hurricane Debby and the Appalachians Highlight New MISR Data Products

    NASA Technical Reports Server (NTRS)

    2000-01-01

    The MISR team has developed new methods for retrieving information about clouds, airborne particles, and surface properties that capitalize on the instrument's unique, multi-angle imaging approach. This illustration, based upon results contained in sample products that have just been publicly released at the Atmospheric Sciences Data Center (ASDC), highlights some of these new capabilities. The ASDC, located at NASA's Langley Research Center, is the primary processing and archive center for MISR data (http://eosweb.larc.nasa.gov/).

    On August 21, 2000, during Terra orbit 3600, MISR imaged Hurricane Debby in the Atlantic Ocean. The first panel on the left is the MISR downward-looking (nadir) view of the storm's eastern edge. The next two panels show the results of a new approach that uses MISR's stereoscopic observations to retrieve cloud heights and winds. In the middle panel of this set, gradations from low to high cloud are depicted in shades ranging from blue to red. Since it takes seven minutes for all nine MISR cameras to view any location on Earth, and the clouds moved during this time, the data also contain information about wind speed and direction. Derived wind vectors, shown in the third panel, reveal Hurricane Debby's cyclonic motion. The highest wind speed measured is nearly 100 kilometers/hour. MISR obtains this type of information on a global basis, which will help scientists study the relationship between climate change and the three-dimensional characteristics of clouds.

    MISR imaged the eastern United States on March 6, 2000, during Terra orbit 1155. The first panel in the righthand set is the downward-looking (nadir) view, covering the region from Lake Ontario to northern Georgia, and spanning the Appalachian Mountains. The middle panel is the image taken by the forward-viewing 70.5-degree camera. At this increased slant angle, the line-of-sight through the atmosphere is three times longer, and a thin haze over the Appalachians is significantly more apparent. MISR uses this enhanced sensitivity along with the variation of brightness with angle to monitor particulate pollution and to measure haze properties. The third panel shows the airborne particle (aerosol) amount, derived using new methods that take advantage of MISR's moderately high spatial resolution at very oblique angles. The aerosol results are obtained at coarser resolution than the underlying images; gradations from blue to red indicate increasing aerosol abundance. These data indicate how airborne particles are interacting with sunlight, a measure of their impact on Earth's climate.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  12. Assessing the accuracy of MISR and MISR-simulated cloud top heights using CloudSat- and CALIPSO-retrieved hydrometeor profiles

    NASA Astrophysics Data System (ADS)

    Hillman, Benjamin R.; Marchand, Roger T.; Ackerman, Thomas P.; Mace, Gerald G.; Benson, Sally

    2017-03-01

    Satellite retrievals of cloud properties are often used in the evaluation of global climate models, and in recent years satellite instrument simulators have been used to account for known retrieval biases in order to make more consistent comparisons between models and retrievals. Many of these simulators have seen little critical evaluation. Here we evaluate the Multiangle Imaging Spectroradiometer (MISR) simulator by using visible extinction profiles retrieved from a combination of CloudSat, CALIPSO, MODIS, and AMSR-E observations as inputs to the MISR simulator and comparing cloud top height statistics from the MISR simulator with those retrieved by MISR. Overall, we find that the occurrence of middle- and high-altitude topped clouds agrees well between MISR retrievals and the MISR-simulated output, with distributions of middle- and high-topped cloud cover typically agreeing to better than 5% in both zonal and regional averages. However, there are significant differences in the occurrence of low-topped clouds between MISR retrievals and MISR-simulated output that are due to differences in the detection of low-level clouds between MISR and the combined retrievals used to drive the MISR simulator, rather than due to errors in the MISR simulator cloud top height adjustment. This difference highlights the importance of sensor resolution and boundary layer cloud spatial structure in determining low-altitude cloud cover. The MISR-simulated and MISR-retrieved cloud optical depth also show systematic differences, which are also likely due in part to cloud spatial structure.

  13. MISR Decadal Observations of Mineral Dust: Property Characterization and Climate Applications

    NASA Technical Reports Server (NTRS)

    Kalashnikova, Olga V.; Garay, Michael J.; Sokolik, Irina; Kahn, Ralph A.; Lyapustin, A.; Diner, David J.; Lee, Jae N.; Torres, Omar; Leptoukh, Gregory G.; Sabbah, Ismail

    2012-01-01

    The Multi-angle Imaging SpectroRadiometer (MISR) provides a unique, independent source of data for studying dust emission and transport. MISR's multiple view angles allow the retrieval of aerosol properties over bright surfaces, and such retrievals have been shown to be sensitive to the non-sphericity of dust aerosols over both land and water. MISR stereographic views of thick aerosol plumes allow height and instantaneous wind derivations at spatial resolutions of better than 1.1 km horizontally and 200m vertically. We will discuss the radiometric and stereo-retrieval capabilities of MISR specifically for dust, and demonstrate the use of MISR data in conjunction with other available satellite observations for dust property characterization and climate studies.First, we will discuss MISR non-spherical (dust) fraction product over the global oceans. We will show that over the Atlantic Ocean, changes in the MISR-derived non-spherical AOD fraction illustrate the evolution of dust during transport. Next, we will present a MISR satellite perspective on dust climatology in major dust source regions with a particular emphasis on the West Africa and Middle East and discuss MISR's unique strengths as well as current product biases. Finally, we will discuss MISR dust plume product and climatological applications.

  14. Exploring the Usefulness of MISR-HR Products to Estimate Maize Crop Extent and Using Field Evidence to Evaluate the Results in South Africa's Free State Province

    NASA Astrophysics Data System (ADS)

    Verstraete, M. M.; Knox, N. M.; Hunt, L. A.; Kleyn, L.

    2014-12-01

    The MISR instrument on NASA's Terra platform has been operating for almost 15 years. Standard products are generated at a spatial resolution of 1.1 km or coarser, but a recently developed method to re-analyze the Level-1B2 data allows the retrieval of biogeophysical products at the native spatial resolution of the instrument (275 m). This development opens new opportunities to better address issues such as the management of agricultural production and food security. South African maize production is of great economic and social importance, not only nationally, but on the global market too, being one of the top ten maize producing countries. Seasonal maize production statistics are currently based on a combination of field measurements and estimates derived from manually digitizing high resolution imagery from the SPOT satellite. The field measurements are collected using the Producer Independent Crop Estimate System (PICES) developed by Crop Estimates Committee of the Department of Agriculture, Forestry and Fisheries. There is a strong desire to improve the quality of these statistics, to generate those earlier, and to automate the process to encompass larger areas. This paper will explore the feasibility of using the MISR-HR spectral and directional products, combined with the finer spatial resolution and the relatively frequent coverage afforded by that instrument, to address these needs. The study area is based in the Free State, South Africa, one of the primary maize growing areas in the country, and took place during the 2012-2013 summer growing season. The significance of the outcomes will be evaluated in the context of the 14+ years of available MISR data.

  15. New Versions of MISR Aerosol and Land Surface Products Available

    Atmospheric Science Data Center

    2018-02-14

    New Versions of MISR Aerosol and Land Surface Products Available Monday, February 12, ... the release of new versions of the MISR Level 2 (L2) Aerosol Product, the MISR L2 Land Surface Product, and the Level 3 (L3) Component Global Aerosol and Land Surface Products.   The new MISR L2 Aerosol Product ...

  16. MISR Aoba Volcano Plume

    Atmospheric Science Data Center

    2018-06-07

    ... in ongoing eruptions using parallax. View the MISR Active Aerosol Plume-Height (AAP) Project paper to see peak altitude and settling ... R. Kahn/NASA GSFC Access Project Paper: MISR Active Aerosol Plume-Height (AAP) Project Access and Order MISR Data and ...

  17. MISR Where on Earth ...? MISR Mystery Image Quiz #29

    NASA Image and Video Library

    2017-06-21

    Are you ready for a challenge? Become a geographical detective and solve the latest mystery quiz from NASA's MISR Multi-angle Imaging SpectroRadiometer (MISR) instrument onboard the Terra satellite. Prize submissions for perfect scores accepted until Wednesday, June 28, at 4:00 p.m. PDT. Happy sleuthing! Take the quiz here http://climate.nasa.gov/quizzes/misr_quiz_29. https://photojournal.jpl.nasa.gov/catalog/PIA21762

  18. MISR Center Block Time Tool

    Atmospheric Science Data Center

    2013-04-01

      MISR Center Block Time Tool The misr_time tool calculates the block center times for MISR Level 1B2 files. This is ... version of the IDL package or by using the IDL Virtual Machine application. The IDL Virtual Machine is bundled with IDL and is ...

  19. Updated MISR Dark Water Research Aerosol Retrieval Algorithm - Part 1: Coupled 1.1 km Ocean Surface Chlorophyll a Retrievals with Empirical Calibration Corrections

    NASA Technical Reports Server (NTRS)

    Limbacher, James A.; Kahn, Ralph A.

    2017-01-01

    As aerosol amount and type are key factors in the 'atmospheric correction' required for remote-sensing chlorophyll alpha concentration (Chl) retrievals, the Multi-angle Imaging SpectroRadiometer (MISR) can contribute to ocean color analysis despite a lack of spectral channels optimized for this application. Conversely, an improved ocean surface constraint should also improve MISR aerosol-type products, especially spectral single-scattering albedo (SSA) retrievals. We introduce a coupled, self-consistent retrieval of Chl together with aerosol over dark water. There are time-varying MISR radiometric calibration errors that significantly affect key spectral reflectance ratios used in the retrievals. Therefore, we also develop and apply new calibration corrections to the MISR top-of-atmosphere (TOA) reflectance data, based on comparisons with coincident MODIS (Moderate Resolution Imaging Spectroradiometer) observations and trend analysis of the MISR TOA bidirectional reflectance factors (BRFs) over three pseudo-invariant desert sites. We run the MISR research retrieval algorithm (RA) with the corrected MISR reflectances to generate MISR-retrieved Chl and compare the MISR Chl values to a set of 49 coincident SeaBASS (SeaWiFS Bio-optical Archive and Storage System) in situ observations. Where Chl(sub in situ) less than 1.5 mg m(exp -3), the results from our Chl model are expected to be of highest quality, due to algorithmic assumption validity. Comparing MISR RA Chl to the 49 coincident SeaBASS observations, we report a correlation coefficient (r) of 0.86, a root-mean-square error (RMSE) of 0.25, and a median absolute error (MAE) of 0.10. Statistically, a two-sample Kolmogorov- Smirnov test indicates that it is not possible to distinguish between MISR Chl and available SeaBASS in situ Chl values (p greater than 0.1). We also compare MODIS-Terra and MISR RA Chl statistically, over much broader regions. With about 1.5 million MISR-MODIS collocations having MODIS Chl less than 1.5 mg m(exp -3), MISR and MODIS show very good agreement: r = 0.96, MAE = 0.09, and RMSE = 0.15. The new dark water aerosol/Chl RA can retrieve Chl in low-Chl, case I waters, independent of other imagers such as MODIS, via a largely physical algorithm, compared to the commonly applied statistical ones. At a minimum, MISR's multi-angle data should help reduce uncertainties in the MODIS-Terra ocean color retrieval where coincident measurements are made, while also allowing for a more robust retrieval of particle properties such as spectral single-scattering albedo.

  20. Updated MISR dark water research aerosol retrieval algorithm - Part 1: Coupled 1.1 km ocean surface chlorophyll a retrievals with empirical calibration corrections

    NASA Astrophysics Data System (ADS)

    Limbacher, James A.; Kahn, Ralph A.

    2017-04-01

    As aerosol amount and type are key factors in the atmospheric correction required for remote-sensing chlorophyll a concentration (Chl) retrievals, the Multi-angle Imaging SpectroRadiometer (MISR) can contribute to ocean color analysis despite a lack of spectral channels optimized for this application. Conversely, an improved ocean surface constraint should also improve MISR aerosol-type products, especially spectral single-scattering albedo (SSA) retrievals. We introduce a coupled, self-consistent retrieval of Chl together with aerosol over dark water. There are time-varying MISR radiometric calibration errors that significantly affect key spectral reflectance ratios used in the retrievals. Therefore, we also develop and apply new calibration corrections to the MISR top-of-atmosphere (TOA) reflectance data, based on comparisons with coincident MODIS (Moderate Resolution Imaging Spectroradiometer) observations and trend analysis of the MISR TOA bidirectional reflectance factors (BRFs) over three pseudo-invariant desert sites. We run the MISR research retrieval algorithm (RA) with the corrected MISR reflectances to generate MISR-retrieved Chl and compare the MISR Chl values to a set of 49 coincident SeaBASS (SeaWiFS Bio-optical Archive and Storage System) in situ observations. Where Chlin situ < 1.5 mg m-3, the results from our Chl model are expected to be of highest quality, due to algorithmic assumption validity. Comparing MISR RA Chl to the 49 coincident SeaBASS observations, we report a correlation coefficient (r) of 0.86, a root-mean-square error (RMSE) of 0.25, and a median absolute error (MAE) of 0.10. Statistically, a two-sample Kolmogorov-Smirnov test indicates that it is not possible to distinguish between MISR Chl and available SeaBASS in situ Chl values (p > 0.1). We also compare MODIS-Terra and MISR RA Chl statistically, over much broader regions. With about 1.5 million MISR-MODIS collocations having MODIS Chl < 1.5 mg m-3, MISR and MODIS show very good agreement: r = 0. 96, MAE = 0.09, and RMSE = 0.15. The new dark water aerosol/Chl RA can retrieve Chl in low-Chl, case I waters, independent of other imagers such as MODIS, via a largely physical algorithm, compared to the commonly applied statistical ones. At a minimum, MISR's multi-angle data should help reduce uncertainties in the MODIS-Terra ocean color retrieval where coincident measurements are made, while also allowing for a more robust retrieval of particle properties such as spectral single-scattering albedo.

  1. Toward Unified Satellite Climatology of Aerosol Properties. 3. MODIS Versus MISR Versus AERONET

    NASA Technical Reports Server (NTRS)

    Mishchenko, Michael I.; Liu, Li; Geogdzhayev, Igor V.; Travis, Larry D.; Cairns, Brian; Lacis, Andrew A.

    2010-01-01

    We use the full duration of collocated pixel-level MODIS-Terra and MISR aerosol optical thickness (AOT) retrievals and level 2 cloud-screened quality-assured AERONET measurements to evaluate the likely individual MODIS and MISR retrieval accuracies globally over oceans and land. We show that the use of quality-assured MODIS AOTs as opposed to the use of all MODIS AOTs has little effect on the resulting accuracy. The MODIS and MISR relative standard deviations (RSTDs) with respect to AERONET are remarkably stable over the entire measurement record and reveal nearly identical overall AOT performances of MODIS and MISR over the entire suite of AERONET sites. This result is used to evaluate the likely pixel-level MODIS and MISR performances on the global basis with respect to the (unknown) actual AOTs. For this purpose, we use only fully compatible MISR and MODIS aerosol pixels. We conclude that the likely RSTDs for this subset of MODIS and MISR AOTs are 73% over land and 30% over oceans. The average RSTDs for the combined [AOT(MODIS)+AOT(MISR)]/2 pixel-level product are close to 66% and 27%, respectively, which allows us to recommend this simple blend as a better alternative to the original MODIS and MISR data. These accuracy estimates still do not represent the totality of MISR and quality-assured MODIS pixel-level AOTs since an unaccounted for and potentially significant source of errors is imperfect cloud screening. Furthermore, many collocated pixels for which one of the datasets reports a retrieval, whereas the other one does not may also be problematic.

  2. MISR Level 2 Cloud Product Versioning

    Atmospheric Science Data Center

    2017-10-11

    ... New ancillary files: MISR_AM1_ASCT_BDAS_(WIN,SPR,SUM,FALL)_DCCAM_ T<901-932>_F02_0005.hdf MISR_AM1_ASCT_BDAS_(WIN,SPR,SUM,FALL)_DBCAM_ T<901-932>_F02_0005.hdf MISR_AM1_ASCT_BDAS_(WIN,SPR,SUM,FALL)_CBCAM_ T<901-932>_F02_0005.hdf ...

  3. Empirical Corrections for MISR Calibration Temporal Trends, Point-Spread Function, Flat-Fielding, and Ghosting

    NASA Astrophysics Data System (ADS)

    Limbacher, J.; Kahn, R. A.

    2015-12-01

    MISR aerosol optical depth retrievals are fairly robust to small radiometric calibration artifacts, due to the multi-angle observations. However, even small errors in the MISR calibration, especially structured artifacts in the imagery, have a disproportionate effect on the retrieval of aerosol properties from these data. Using MODIS, POLDER-3, AERONET, MAN, and MISR lunar images, we diagnose and correct various calibration and radiometric artifacts found in the MISR radiance (Level 1) data, using empirical image analysis. The calibration artifacts include temporal trends in MISR top-of-atmosphere reflectance at relatively stable desert sites and flat-fielding artifacts detected by comparison to MODIS over bright, low-contrast scenes. The radiometric artifacts include ghosting (as compared to MODIS, POLDER-3, and forward model results) and point-spread function mischaracterization (using the MISR lunar data and MODIS). We minimize the artifacts to the extent possible by parametrically modeling the artifacts and then removing them from the radiance (reflectance) data. Validation is performed using non-training scenes (reflectance comparison), and also by using the MISR Research Aerosol retrieval algorithm results compared to MAN and AERONET.

  4. Northern California and San Francisco Bay

    NASA Technical Reports Server (NTRS)

    2000-01-01

    The left image of this pair was acquired by MISR's nadir camera on August 17, 2000 during Terra orbit 3545. Toward the top, and nestled between the Coast Range and the Sierra Nevadas, are the green fields of the Sacramento Valley. The city of Sacramento is the grayish area near the right-hand side of the image. Further south, San Francisco and other cities of the Bay Area are visible.

    On the right is a zoomed-in view of the area outlined by the yellow polygon. It highlights the southern end of San Francisco Bay, and was acquired by MISR's airborne counterpart, AirMISR, during an engineering check-out flight on August 25, 1997. AirMISR flies aboard a NASA ER-2 high-altitude aircraft and contains a single camera that rotates to different view angles. When this image was acquired, the AirMISR camera was pointed 70 degrees forward of the vertical. Colorful tidal flats are visible in both the AirMISR and MISR imagery.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

    For more information: http://www-misr.jpl.nasa.gov

  5. misr_view

    Atmospheric Science Data Center

    2018-03-21

    ... data files,  misr_view , was developed by NASA's Jet Propulsion Laboratory. misr_view, which includes a User's Guide, is available ... Processing Applications and Development Section at the Jet Propulsion Laboratory.   ...

  6. Relevant Links

    Atmospheric Science Data Center

    2018-06-15

    ... Theoretical Basis Document (ATBD) ADAM-M ADAM-M Information AirMISR AirMISR Home Page MISR Home Page Feature Article: Fiery Temperament KONVEX Information SAFARI Home Page AirMSPI Get Google Earth ...

  7. MISR and AirMISR Simultaneously Observe African Grassland Fires

    NASA Technical Reports Server (NTRS)

    2000-01-01

    These images of northeastern South Africa, near Kruger National Park, were acquired on September 7, 2000. The left image shows an 85-kilometer wide x 200-kilometer long area captured by MISR's aftward-viewing 45-degree camera. At lower left are the Drakensberg Mountains; to the east of this range a large burn scar with thin smoke plumes from still-smoldering fires is visible. Near the top of the image another large burn scar with an open-pit mine at its western edge can be seen. Other burn scars are scattered throughout the image.

    Just above the center of the lefthand image is a polygonal burn scar with a set of smoke plumes from actively burning fires at its southwestern tip. The righthand image, which is a 'zoomed-in' view of the area, was acquired almost simultaneously by MISR's airborne counterpart, AirMISR, aboard a NASA ER-2 high-altitude aircraft. AirMISR contains a single camera that rotates to different view angles; when this image was acquired the camera was pointed straight downward. Because the ER-2 aircraft flies at an altitude of 20 kilometers, whereas the Terra spacecraft orbits the Earth 700 kilometers above the ground, the AirMISR image has 35 times finer spatial resolution. The AirMISR image covers about 9 kilometers x 9 kilometers. Unlike the MISR view, the AirMISR data are in 'raw' form and processing to remove radiometric and geometric distortions has not yet been performed.

    Fires such as those shown in the images are deliberately set to burn off dry vegetation, and constitute a widespread agricultural practice in many parts of Africa. These MISR and AirMISR images are part of an international field, aircraft, and satellite data collection and analysis campaign known as SAFARI-2000, the Southern Africa Regional Science Initiative. SAFARI-2000 is designed, in part, to study the effects of large-scale human activities on the regional climate, meteorology, and ecosystems.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  8. What We are Learning about Airborne Particles from MISR Multi-angle Imaging

    NASA Astrophysics Data System (ADS)

    Kahn, Ralph

    The NASA Earth Observing System’s Multi-angle Imaging SpectroRadiometer (MISR) instrument has been collecting global observations in 36 angular-spectral channels about once per week for over 14 years. Regarding airborne particles, MISR is contributing in three broad areas: (1) aerosol optical depth (AOD), especially over land surface, including bright desert, (2) wildfire smoke, desert dust, and volcanic ash injection and near-source plume height, and (3) aerosol type, the aggregate of qualitative constraints on particle size, shape, and single-scattering albedo (SSA). Early advances in the retrieval of these quantities focused on AOD, for which surface-based sun photometers provided a global network of ground truth, and plume height, for which ground-based and airborne lidar offered near-coincident validation data. MSIR monthly, global AOD products contributed directly to the advances in modeling aerosol impacts on climate made between the Inter-governmental Panel on Climate Change (IPCC) third and fourth assessment reports. MISR stereo-derived plume heights are now being used to constrain source inventories for the AeroCom aerosol-climate modeling effort. The remaining challenge for the MISR aerosol effort is to refine and validate our global aerosol type product. Unlike AOD and plume height, aerosol type as retrieved by MISR is a qualitative classification derived from multi-dimensional constraints, so evaluation must be done on a categorical basis. Coincident aerosol type validation data are far less common than for AOD, and, except for rare Golden Days during aircraft field campaigns, amount to remote sensing retrievals from suborbital instruments having uncertainties comparable to those from the MISR product itself. And satellite remote sensing retrievals of aerosol type are much more sensitive to scene conditions such as surface variability and AOD than either AOD or plume height. MISR aerosol type retrieval capability and information content have been demonstrated in case studies using the MISR Operational as especially the MISR Research aerosol retrieval algorithms. Refinements to the Operational algorithm, as indicated by these studies, are required to generate a high-quality next-generation aerosol type product from the MISR data. This presentation will briefly review the MISR AOD and plume height product attributes, and will then focus on the MISR aerosol type product: validation, data quality, and refinements.

  9. The Impact of Biogenic and Anthropogenic Atmospheric Aerosol on Climate in Egypt

    NASA Astrophysics Data System (ADS)

    Ibrahim, A. I.; Zakey, A.; Steiner, A. L.; Shokr, M. E.; El-Raey, M.; Ahmed, Y.; Al-Hadidi, A.; Zakey, A.

    2014-12-01

    Aerosols are indicators of air quality as they reduce visibility and adversely affect public health. Aerosol optical depth (AOD) is a measure of the radiation extinction due to interaction of radiation with aerosol particles in the atmosphere. Using this optical measure of atmospheric aerosols we explore the seasonal and annual patterns of aerosols from both anthropogenic and biogenic sources over Egypt. Here, we use an integrated environment-climate-aerosol model in conjunction with inversion technique to identify the aerosol particle size distribution over different locations in Egypt. The online-integrated Environment-Climate-Aerosol model (EnvClimA), which is based on the International Center for Theoretical Physics Regional Climate Model (ICTP-RegCM), is used to study the emission of different aerosols and their impact on climate parameters for a long-term base line simulation run over Egypt and North Africa. The global emission inventory is downscaled and remapping them over Egypt using local factors such as population, traffic and industrial activities to identify the sources of anthropogenic and biogenic emission from local emission over Egypt. The results indicated that the dominant natural aerosols over Egypt are dust emissions that frequently occur during the transitional seasons (Spring and Autumn). From the local observation we identify the number of dust and sand storm occurrences over Egypt. The Multiangle Imaging SpectroRadiometer (MISR) is used to identify the optical characterizations of different types of aerosols over Egypt. Modeled aerosol optical depth and MISR observed (at 555 nm) are compared from March 2000 through November 2013. The results identify that the MISR AOD captures the maximum peaks of AOD in March/April that coincide with the Khamasin dust storms. However, peaks in May are either due to photochemical reactions or anthropogenic activities. Note: This presentation is for a Partnerships for Enhanced Engagement in Research (PEER) project sponsored by USAID/NSF/NAS. Project Link (at National Academies website): http://sites.nationalacademies.org/PGA/dsc/peerscience/PGA_084046.htmwebsite: http://CleanAirEgypt.org

  10. MISR Browse Images: Cold Land Processes Experiment (CLPX)

    Atmospheric Science Data Center

    2013-04-02

    ... MISR Browse Images: Cold Land Processes Experiment (CLPX) These MISR Browse images provide a ... over the region observed during the NASA Cold Land Processes Experiment (CLPX). CLPX involved ground, airborne, and satellite measurements ...

  11. MIL2ASAF

    Atmospheric Science Data Center

    2018-02-19

    MISR Level 2 First Look Aerosol Data (MIL2ASAF.002) MISR Level 2 First Look Aerosol Data Stage 2 & 3 Validated  Project Title:  ... MISR Browse Tool Parameters:  Aerosol optical depth Aerosol compositional model Ancillary ...

  12. MISR 17.6 KM Gridded Cloud Motion Vectors: Overview and Assessment

    NASA Technical Reports Server (NTRS)

    Mueller, Kevin; Garay, Michael; Moroney, Catherine; Jovanovic, Veljko

    2012-01-01

    The MISR (Multi-angle Imaging SpectroRadiometer) instrument on the Terra satellite has been retrieving cloud motion vectors (CMVs) globally and almost continuously since early in 2000. In February 2012 the new MISR Level 2 Cloud product was publicly released, providing cloud motion vectors at 17.6 km resolution with improved accuracy and roughly threefold increased coverage relative to the 70.4 km resolution vectors of the current MISR Level 2 Stereo product (which remains available). MISR retrieves both horizontal cloud motion and height from the apparent displacement due to parallax and movement of cloud features across three visible channel (670nm) camera views over a span of 200 seconds. The retrieval has comparable accuracy to operational atmospheric motion vectors from other current sensors, but holds the additional advantage of global coverage and finer precision height retrieval that is insensitive to radiometric calibration. The MISR mission is expected to continue operation for many more years, possibly until 2019, and Level 2 Cloud has the possibility of being produced with a sensing-to-availability lag of 5 hours. This report compares MISR CMV with collocated motion vectors from arctic rawinsonde sites, and from the GOES and MODISTerra instruments. CMV at heights below 3 km exhibit the smallest differences, as small as 3.3 m/s for MISR and GOES. Clouds above 3 km exhibit larger differences, as large as 8.9 m/s for MISR and MODIS. Typical differences are on the order of 6 m/s.

  13. Detecting Thin Cirrus in Multiangle Imaging Spectroradiometer Aerosol Retrievals

    NASA Technical Reports Server (NTRS)

    Pierce, Jeffrey R.; Kahn, Ralph A.; Davis, Matt R.; Comstock, Jennifer M.

    2010-01-01

    Thin cirrus clouds (optical depth (OD) < 03) are often undetected by standard cloud masking in satellite aerosol retrieval algorithms. However, the Mu]tiangle Imaging Spectroradiometer (MISR) aerosol retrieval has the potential to discriminate between the scattering phase functions of cirrus and aerosols, thus separating these components. Theoretical tests show that MISR is sensitive to cirrus OD within Max{0.05 1 20%l, similar to MISR's sensitivity to aerosol OD, and MISR can distinguish between small and large crystals, even at low latitudes, where the range of scattering angles observed by MISR is smallest. Including just two cirrus components in the aerosol retrieval algorithm would capture typical MISR sensitivity to the natural range of cinus properties; in situations where cirrus is present but the retrieval comparison space lacks these components, the retrieval tends to underestimate OD. Generally, MISR can also distinguish between cirrus and common aerosol types when the proper cirrus and aerosol optical models are included in the retrieval comparison space and total column OD is >-0.2. However, in some cases, especially at low latitudes, cirrus can be mistaken for some combinations of dust and large nonabsorbing spherical aerosols, raising a caution about retrievals in dusty marine regions when cirrus is present. Comparisons of MISR with lidar and Aerosol Robotic Network show good agreement in a majority of the cases, but situations where cirrus clouds have optical depths >0.15 and are horizontally inhomogeneous on spatial scales shorter than 50 km pose difficulties for cirrus retrieval using the MISR standard aerosol algorithm..

  14. MISR Where on Earth...? MISR Mystery Image Quiz #28

    NASA Image and Video Library

    2016-11-16

    Are you ready for a challenge? Become a geographical detective and solve the latest mystery quiz from NASA's MISR (Multi-angle Imaging SpectroRadiometer) instrument onboard the Terra satellite. Prize submissions for perfect scores accepted until Wednesday, November 23, at 4:00 p.m. PST. Happy sleuthing! Take the quiz here http://climate.nasa.gov/quizzes/misr_quiz_28. http://photojournal.jpl.nasa.gov/catalog/PIA15375

  15. MISR: protection from ourselves

    NASA Technical Reports Server (NTRS)

    Nolan, T.; Varanasi, P.

    2004-01-01

    Outlines lessons learned by the Instrument Operations Team of NASA/JPL Terra's Multi-angle Imaging SpectroRadiometer mission. It narrates a story of MISR: Protection from Ourselves! and describes, in detail, how the MISR instrument survived operator errors.

  16. MISR Level 3 Products

    Atmospheric Science Data Center

    2015-06-04

    ... nm), approximated from visible bands. Derived from a linear combination of MISR bands found in the Level 2 LAND, DHR field. Weiss et ... Level 2 ALBEDO, AlbedoRestrictive field. Local Albedo Local albedo, for 4 MISR spectral bands + broadband ...

  17. MISR Level 3 Cloud Motion Vector Versioning

    Atmospheric Science Data Center

    2016-11-04

    ... Versioning   Cloud Motion Vector Product (CMV) - Monthly, Quarterly, Yearly products Processing Status ... MI3MCMVN, MI3QCMVN, MI3YCMVN MISR_AM1_CMV Stage 1 Validated:  All parameters MISR maturity ...

  18. Mystery #11 Answer

    Atmospheric Science Data Center

    2013-04-22

    article title:  MISR Mystery Image Quiz #11: Queensland, Australia     View Larger Image These Multi-angle Imaging SpectroRadiometer (MISR) images of ... MISR Team. Text acknowledgment: Clare Averill, David J. Diner, Graham Bothwell (Jet Propulsion Laboratory). Other formats ...

  19. MISR activities at SAFARI 2000

    NASA Technical Reports Server (NTRS)

    Helmlinger, M.; Bruegge, C.; Gaitley, B.

    2000-01-01

    SAFARI 2000 is an international regional science initiative being developed for Southern Africa to explore, study and address linkages between land-atmosphere processes and the relationship of biogenic, pyrogenic or anthropogenic emissions and the consequences of their deposition to the functioning of the biogeophysical and biogeochemical systems of southern Africa.

  20. MISR Toolkit

    Atmospheric Science Data Center

    2018-03-14

    ... which makes it very easy to extract and use MISR data sets. Reading a parameter requires the user to simply specify a file, grid, field, ... Automatically stitch, unpack and unscale MISR data while reading Performing coordinate conversions between lat/lon, SOM x/y, ...

  1. Ash from Kilauea Eruption Viewed by NASA's MISR

    Atmospheric Science Data Center

    2018-06-07

    ... title:  Ash from Kilauea Eruption Viewed by NASA's MISR View Larger Image   Ash ... Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite captured this view of the island as it passed overhead. ...

  2. MISR Browse Images: Puerto Rico Dust Experiment (PRiDE)

    Atmospheric Science Data Center

    2013-04-02

    MISR Browse Images: Puerto Rico Dust Experiment (PRiDE) These MISR Browse ... a quick visual overview of the region observed during the Puerto Rico Dust Experiment (PRiDE) field campaign. PRiDE was a study of the ...

  3. AirMISR WISCONSIN

    Atmospheric Science Data Center

    2014-04-25

    AirMISR WISCONSIN 2000 Project Title:  AirMISR Discipline:  ... Platform:  ER-2 Spatial Coverage:  Wisconsin (35.92, 43.79)(-97.94, -90.23) Spatial Resolution:  ... Order Data Readme Files:  Readme Wisconsin Read Software Files :  IDL Code ...

  4. What is MISR? MISR Instrument? MISR Project?

    Atmospheric Science Data Center

    2014-12-08

    ... to improve our understanding of the Earth's environment and climate. Viewing the sunlit Earth simultaneously at nine widely-spaced angles, ... types of atmospheric particles and clouds on climate. The change in reflection at different view angles affords the means to distinguish ...

  5. How do I order MISR data?

    Atmospheric Science Data Center

    2017-10-12

    ... and archived at the NASA Langley Research Center Atmospheric Science Data Center (ASDC). A MISR Order and Customization Tool is ... Pool (an on-line, short-term data cache that provides a Web interface and FTP access). Specially subsetted and/or reformatted MISR data ...

  6. Near Real Time MISR Wind Observations for Numerical Weather Prediction

    NASA Astrophysics Data System (ADS)

    Mueller, K. J.; Protack, S.; Rheingans, B. E.; Hansen, E. G.; Jovanovic, V. M.; Baker, N.; Liu, J.; Val, S.

    2014-12-01

    The Multi-angle Imaging SpectroRadiometer (MISR) project, in association with the NASA Langley Atmospheric Science Data Center (ASDC), has this year adapted its original production software to generate near-real time (NRT) cloud-motion winds as well as radiance imagery from all nine MISR cameras. These products are made publicly available at the ASDC with a latency of less than 3 hours. Launched aboard the sun-synchronous Terra platform in 1999, the MISR instrument continues to acquire near-global, 275 m resolution, multi-angle imagery. During a single 7 minute overpass of any given area, MISR retrieves the stereoscopic height and horizontal motion of clouds from the multi-angle data, yielding meso-scale near-instantaneous wind vectors. The ongoing 15-year record of MISR height-resolved winds at 17.6 km resolution has been validated against independent data sources. Low-level winds dominate the sampling, and agree to within ±3 ms-1 of collocated GOES and other observations. Low-level wind observations are of particular interest to weather forecasting, where there is a dearth of observations suitable for assimilation, in part due to reliability concerns associated with winds whose heights are assigned by the infrared brightness temperature technique. MISR cloud heights, on the other hand, are generated from stereophotogrammetric pattern matching of visible radiances. MISR winds also address data gaps in the latitude bands between geostationary satellite coverage and polar orbiting instruments that obtain winds from multiple overpasses (e.g. MODIS). Observational impact studies conducted by the Naval Research Laboratory (NRL) and by the German Weather Service (Deutscher Wetterdienst) have both demonstrated forecast improvements when assimilating MISR winds. An impact assessment using the GEOS-5 system is currently in progress. To benefit air quality forecasts, the MISR project is currently investigating the feasibility of generating near-real time aerosol products.

  7. Severe Air Pollution in New Delhi View by NASA MISR

    NASA Image and Video Library

    2016-11-16

    New Delhi, India's capital city, is currently suffering though a period of particularly poor air quality. In early November 2016, monitors at various locations in the area posted air quality index measurements as high as the 900s (the most severe ranking, "hazardous," is any air quality index measurement over 300). Thousands of schools have been closed, and a survey by the Associate Chambers of Commerce and Industry of India reports that 10 percent of the city's workers called in sick due to air-pollution-related health issues. According to several published news reports, the extreme air pollution may be due to a combination of nearby agricultural burning after harvest, urban construction and solid-waste burning, as well as remnants of firecracker smoke and additional car emissions after the celebration of Diwali, the Hindu festival of lights, on October 30. The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite passed over the region on Saturday, Nov. 5, 2016, at around 11:05 a.m. local time. At left is an image acquired from MISR's vertical viewing camera. The Himalayas stretch across the northern portion of the image. This towering mountain range tends to concentrate pollution in the region immediately to the south, including New Delhi, by preventing pollutants from blowing northwards. New Delhi, whose location is indicated on the image, is under a patch of especially thick haze. At 6:00 a.m. local time on that date, the U.S. Mission India NowCast Air Quality Index for New Delhi was reported at 751, more than twice the threshold for hazardous air quality. At right, a map of aerosol optical depth is superimposed on the image. Optical depth is a quantitative measure of the abundance of aerosols (tiny particles in the atmosphere). Optical depths for the area around New Delhi have not been calculated because the haze is so thick that the algorithm has classified the area as a cloud. In the region immediately surrounding the thick haze, optical depths approach 1.0. An optical depth of 1.0 means that only about 37 percent of direct sunlight reaches the surface due to interactions with particles in the atmosphere. These data were acquired during Terra orbit 89805. Other MISR data are available through the NASA Langley Research Center; for more information, go to https://eosweb.larc.nasa.gov/project/misr/misr_table. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, California, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, Maryland. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center, Hampton, Virginia. JPL is a division of the California Institute of Technology in Pasadena. http://photojournal.jpl.nasa.gov/catalog/PIA21100

  8. MISR Where on Earth…? Mystery Image Quiz #29

    Atmospheric Science Data Center

    2017-09-07

    ... ready for a challenge? Become a geographical detective and solve the latest mystery quiz from NASA’s MISR (Multi-angle Imaging ... ready for a challenge? Become a geographical detective and solve the latest mystery quiz from NASA’s MISR (Multi-angle Imaging ...

  9. Tropical Atlantic Dust and Smoke Aerosol Variabilities Related to the Madden-Julian Oscillation in MODIS and MISR Observations

    NASA Technical Reports Server (NTRS)

    Guo, Yanjuan; Tian, Baijun; Kahn, Ralph A.; Kalashnikova, Olga; Wong, Sun; Waliser, Duane E.

    2012-01-01

    In this study, MODIS fine mode fraction and MISR non-spherical fraction are 2used to derive dust and smoke AOT components (tau(sub dust) and tau(sub smoke)) over the tropical Atlantic, and their variabilities related to the Madden-Julian Oscillation (MJO) are then investigated. Both MODIS and MISR show a very similar dust and smoke winter climatology. tau(sub dust) is found to be the dominant aerosol component over the tropical Atlantic while tau(sub smoke) is significantly smaller than tau(sub dust). The daily MODIS and MISR tau(sub dust) are overall highly correlated, with the correlation coefficients typically about 0.7 over the North Atlantic. The consistency between the MODIS and MISR dust and smoke aerosol climatology and daily variations give us confidence to use these two data sets to investigate their relative contributions to the total AOT variation associated with the MJO. However, unlike the MISR dust discrimination, which is based on particle shape retrievals, the smoke discrimination is less certain, based on assumed partitioning of maritime aerosol for both MISR and MODIS. The temporal evolution and spatial patterns of the tau(sub dust) anomalies associated with the MJO are consistent between MODIS and MISR. The tau(sub dust) anomalies are very similar to those of tau anomalies, and are of comparable magnitude. In contrast, the MJO-related tau(sub smoke) anomalies are rather small, and the tau(sub mar) anomalies are negligible. The consistency between the MODIS and MISR results suggests that dust aerosol is the dominant component on the intra-seasonal time scale over the tropical Atlantic Ocean.

  10. MISR Level 1 Near Real Time Products

    Atmospheric Science Data Center

    2016-10-31

    Level 1 Near Real Time The MISR Near Real Time Level 1 data products ... km MISR swath and projected onto a Space-Oblique Mercator (SOM) map grid. The Ellipsoid-projected and Terrain-projected top-of-atmosphere (TOA) radiance products provide measurements respectively resampled onto the ...

  11. How do I order cloud-free MISR data for my region?

    Atmospheric Science Data Center

    2016-02-19

    ... viewing the browse images for your region, note the orbit numbers of interest. The MISR Production Report lists the most currently available data for the selected orbits. Include those orbit numbers when submitting the search for data through the MISR Order and ...

  12. Experiences with Transitioning Science Data Production from a Symmetric Multiprocessor Platform to a Linux Cluster Environment

    NASA Astrophysics Data System (ADS)

    Walter, R. J.; Protack, S. P.; Harris, C. J.; Caruthers, C.; Kusterer, J. M.

    2008-12-01

    NASA's Atmospheric Science Data Center at the NASA Langley Research Center performs all of the science data processing for the Multi-angle Imaging SpectroRadiometer (MISR) instrument. MISR is one of the five remote sensing instruments flying aboard NASA's Terra spacecraft. From the time of Terra launch in December 1999 until February 2008, all MISR science data processing was performed on a Silicon Graphics, Inc. (SGI) platform. However, dramatic improvements in commodity computing technology coupled with steadily declining project budgets during that period eventually made transitioning MISR processing to a commodity computing environment both feasible and necessary. The Atmospheric Science Data Center has successfully ported the MISR science data processing environment from the SGI platform to a Linux cluster environment. There were a multitude of technical challenges associated with this transition. Even though the core architecture of the production system did not change, the manner in which it interacted with underlying hardware was fundamentally different. In addition, there are more potential throughput bottlenecks in a cluster environment than there are in a symmetric multiprocessor environment like the SGI platform and each of these had to be addressed. Once all the technical issues associated with the transition were resolved, the Atmospheric Science Data Center had a MISR science data processing system with significantly higher throughput than the SGI platform at a fraction of the cost. In addition to the commodity hardware, free and open source software such as S4PM, Sun Grid Engine, PostgreSQL and Ganglia play a significant role in the new system. Details of the technical challenges and resolutions, software systems, performance improvements, and cost savings associated with the transition will be discussed. The Atmospheric Science Data Center in Langley's Science Directorate leads NASA's program for the processing, archival and distribution of Earth science data in the areas of radiation budget, clouds, aerosols, and tropospheric chemistry. The Data Center was established in 1991 to support NASA's Earth Observing System and the U.S. Global Change Research Program. It is unique among NASA data centers in the size of its archive, cutting edge computing technology, and full range of data services. For more information regarding ASDC data holdings, documentation, tools and services, visit http://eosweb.larc.nasa.gov

  13. Model-Derived Global Aerosol Climatology for MISR Analysis ("Clim-Likely" Data Set)

    Atmospheric Science Data Center

    2018-04-19

    Model-Derived Global Aerosol Climatology for MISR Analysis Multi-angle Imaging ... (MISR) monthly, global 1° x 1° "Clim-Likely" aerosol climatology, derived from 'typical-year' aerosol transport model results are available for individual 1° x 1° boxes or ...

  14. Deep Ocean Tsunami Waves off the Sri Lankan Coast

    NASA Technical Reports Server (NTRS)

    2004-01-01

    The initial tsunami waves resulting from the undersea earthquake that occurred at 00:58:53 UTC (Coordinated Universal Time) on December 26, 2004, off the island of Sumatra, Indonesia, took a little over 2 hours to reach the teardrop-shaped island of Sri Lanka. Additional waves continued to arrive for many hours afterward. At approximately 05:15 UTC, as NASA's Terra satellite passed overhead, the Multi-angle Imaging SpectroRadiometer (MISR) captured this image of deep ocean tsunami waves about 30-40 kilometers from Sri Lanka's southwestern coast. The waves are made visible due to the effects of changes in sea-surface slope on the reflected sunglint pattern, shown here in MISR's 46-degree-forward-pointing camera. Sunglint occurs when sunlight reflects off a water surface in much the same way light reflects off a mirror, and the position of the Sun, angle of observation, and orientation of the sea surface determines how bright each part of the ocean appears in the image. These large wave features were invisible to MISR's nadir (vertical-viewing) camera. The image covers an area of 208 kilometers by 207 kilometers. The greatest impact of the tsunami was generally in an east-west direction, so the havoc caused by the tsunami along the southwestern shores of Sri Lanka was not as severe as along the eastern coast. However, substantial damage did occur in this region' as evidenced by the brownish debris in the water' because tsunami waves can diffract around land masses. The ripple-like wave pattern evident in this MISR image roughly correlates with the undersea boundary of the continental shelf. The surface wave pattern is likely to have been caused by interaction of deep waves with the ocean floor, rather than by the more usually observed surface waves, which are driven by winds. It is possible that this semi-concentric pattern represents wave reflection from the continental land mass; however, a combination of wave modeling and detailed bathymetric data is required to fully understand the dynamics. Examination of other MISR images of this area, taken under similar illumination conditions, has not uncovered any surface patterns resembling those seen here. This image is an example of how MISR's multi-angular capability provides unique information for understanding how tsunamis propagate. Another application of MISR data enabled scientists to measure the motion of breaking tsunami waves along the eastern shores of Andhra Pradesh, India. The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees North and 82 degrees South latitude. These data products were generated from a portion of the imagery acquired during Terra orbit 26720 and utilize data from within blocks 85 to 86 within World Reference System-2 path 142. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. Image courtesy NASA/GSFC/LaRC/JPL, MISR Team. Text by Clare Averill (Raytheon ITSS/JPL); Michael Garay and David J. Diner (JPL, California Institute of Technology); and Vasily Titov (NOAA/Pacific Marine Environmental Laboratory and University of Washington/Joint Institute for the Study of the Atmosphere and Oceans).

  15. MISR Near Real Time Products Available

    Atmospheric Science Data Center

    2014-09-04

    ... containing both Ellipsoid- and Terrain-projected radiance information, and the L2 Cloud Motion Vector (CMV) product containing ... The NRT versions of MISR data products employ the same retrieval algorithms as standard production, yielding equivalent science ... product is available in HDFEOS and BUFR format. For more information, please consult the MISR CMV DPS and Documentation for the ...

  16. Development and assessment of a higher-spatial-resolution (4.4 km) MISR aerosol optical depth product using AERONET-DRAGON data

    NASA Astrophysics Data System (ADS)

    Garay, Michael J.; Kalashnikova, Olga V.; Bull, Michael A.

    2017-04-01

    Since early 2000, the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite has been acquiring data that have been used to produce aerosol optical depth (AOD) and particle property retrievals at 17.6 km spatial resolution. Capitalizing on the capabilities provided by multi-angle viewing, the current operational (Version 22) MISR algorithm performs well, with about 75 % of MISR AOD retrievals globally falling within 0.05 or 20 % × AOD of paired validation data from the ground-based Aerosol Robotic Network (AERONET). This paper describes the development and assessment of a prototype version of a higher-spatial-resolution 4.4 km MISR aerosol optical depth product compared against multiple AERONET Distributed Regional Aerosol Gridded Observations Network (DRAGON) deployments around the globe. In comparisons with AERONET-DRAGON AODs, the 4.4 km resolution retrievals show improved correlation (r = 0. 9595), smaller RMSE (0.0768), reduced bias (-0.0208), and a larger fraction within the expected error envelope (80.92 %) relative to the Version 22 MISR retrievals.

  17. Ten Years of MISR Observations from Terra: Looking Back, Ahead, and in Between

    NASA Technical Reports Server (NTRS)

    Diner, David J.; Ackerman, Thomas P.; Braverman, Amy J.; Bruegge, Carol J.; Chopping, Mark J.; Clothiaux, Eugene E.; Davies, Roger; Di Girolamo, Larry; Kahn, Ralph A.; Knyazikhin, Yuri; hide

    2010-01-01

    The Multi-angle Imaging SpectroRadiometer (MISR) instrument has been collecting global Earth data from NASA's Terra satellite since February 2000. With its nine along-track view angles, four visible/near-infrared spectral bands, intrinsic spatial resolution of 275 m, and stable radiometric and geometric calibration, no instrument that combines MISR's attributes has previously flown in space. The more than 10-year (and counting) MISR data record provides unprecedented opportunities for characterizing long-term trends in aerosol, cloud, and surface properties, and includes 3-D textural information conventionally thought to be accessible only to active sensors.

  18. The application of support vector machines to analysis of global satellite data sets from MlSR

    NASA Technical Reports Server (NTRS)

    Garay, Michael J.; Mazzoni, Dominic; Davies, Roger; Diner, David J.

    2005-01-01

    The Multi-angle Imaging Spectro Radiometer (MISR) is one of a suite of five instruments onboard NASA's Terra EOS satellite, launched in December 1999. Typical satellite imagers view the earth from a single direction, but MISR's cameras image the earth simultaneously from nine different directions in four spectral bands. In this way, MISR provides unique multiangle information about solar radiation scattered from clouds, aerosols and other terrestrial surfaces. One of the primary goals of the MISR mission is to improve our understanding of how clouds and aerosols affect the earth's global energy balance.

  19. Climatology of the Aerosol Optical Depth by Components from the Multi-Angle Imaging Spectroradiometer (MISR) and Chemistry Transport Models

    NASA Technical Reports Server (NTRS)

    Lee, Huikyo; Kalashnikova, Olga V.; Suzuki, Kentaroh; Braverman, Amy; Garay, Michael J.; Kahn, Ralph A.

    2016-01-01

    The Multi-angle Imaging Spectroradiometer (MISR) Joint Aerosol (JOINT_AS) Level 3 product has provided a global, descriptive summary of MISR Level 2 aerosol optical depth (AOD) and aerosol type information for each month over 16+ years since March 2000. Using Version 1 of JOINT_AS, which is based on the operational (Version 22) MISR Level 2 aerosol product, this study analyzes, for the first time, characteristics of observed and simulated distributions of AOD for three broad classes of aerosols: spherical nonabsorbing, spherical absorbing, and nonspherical - near or downwind of their major source regions. The statistical moments (means, standard deviations, and skew-nesses) and distributions of AOD by components derived from the JOINT_AS are compared with results from two chemistry transport models (CTMs), the Goddard Chemistry Aerosol Radiation and Transport (GOCART) and SPectral RadIatioN-TrAnSport (SPRINTARS). Overall, the AOD distributions retrieved from MISR and modeled by GOCART and SPRINTARS agree with each other in a qualitative sense. Marginal distributions of AOD for each aerosol type in both MISR and models show considerable high positive skewness, which indicates the importance of including extreme AOD events when comparing satellite retrievals with models. The MISR JOINT_AS product will greatly facilitate comparisons between satellite observations and model simulations of aerosols by type.

  20. Assessing the Altitude and Dispersion of Volcanic Plumes Using MISR Multi-angle Imaging from Space: Sixteen Years of Volcanic Activity in the Kamchatka Peninsula, Russia

    NASA Technical Reports Server (NTRS)

    Flower, Verity J. B.; Kahn, Ralph A.

    2017-01-01

    Volcanic eruptions represent a significant source of atmospheric aerosols and can display local, regional and global effects, impacting earth systems and human populations. In order to assess the relative impacts of these events, accurate plume injection altitude measurements are needed. In this work, volcanic plumes generated from seven Kamchatka Peninsula volcanoes (Shiveluch, Kliuchevskoi, Bezymianny, Tolbachik, Kizimen, Karymsky and Zhupanovsky), were identified using over 16 years of Multi-angle Imaging SpectroRadimeter (MISR) measurements. Eighty-eight volcanic plumes were observed by MISR, capturing 3-25% of reported events at individual volcanoes. Retrievals were most successful where high intensity events persisted over a period of weeks to months. Compared with existing ground and airborne observations, and alternative satellite-based reports compiled by the Global Volcanism Program (GVP), MISR plume height retrievals showed general consistency; the comparison reports appear to be skewed towards the region of highest concentration observed in MISR-constrained vertical plume extent. The report observations display less discrepancy with MISR toward the end of the analysis period, with improvements in the suborbital data likely the result of the deployment of new instrumentation. Conversely, the general consistency of MISR plume heights with conventionally reported observations supports the use of MISR in the ongoing assessment of volcanic activity globally, especially where other types of volcanic plume observations are unavailable. Differences between the northern (Shiveluch, Kliuchevskoi, Bezymianny and Tolbachik) and southern (Kizimen, Karymsky and Zhupanovsky) volcanoes broadly correspond to the Central Kamchatka Depression (CKD) and Eastern Volcanic Front (EVF), respectively, geological sub-regions of Kamchatka distinguished by varying magma composition. For example, by comparison with reanalysis-model simulations of local meteorological conditions, CKD plumes generally were less constrained by mid-tropospheric (< 6 km) layers of vertical stability above the boundary layer, suggesting that these eruptions were more energetic than those in the EVF

  1. Vegetation Canopy Structure from NASA EOS Multiangle Imaging

    NASA Astrophysics Data System (ADS)

    Chopping, M.; Martonchik, J. V.; Bull, M.; Rango, A.; Schaaf, C. B.; Zhao, F.; Wang, Z.

    2008-12-01

    We used red band bidirectional reflectance data from the NASA Multiangle Imaging SpectroRadiometer (MISR) and the MODerate resolution Imaging Spectroradiometer (MODIS) mapped onto a 250 m grid in a multiangle approach to obtain estimates of woody plant fractional cover and crown height through adjustment of the mean radius and mean crown aspect ratio parameters of an hybrid geometric-optical (GO) model. We used a technique to rapidly obtain MISR surface reflectance estimates at 275 m resolution through regression on 1 km MISR land surface estimates previously corrected for atmospheric attenuation using MISR aerosol estimates. MISR data were used to make end of dry season maps from 2000-2007 for parts of southern New Mexico, while MODIS data were used to replicate previous results obtained using MISR for June 2002 over large parts of New Mexico and Arizona. We also examined the applicability of this method in Alaskan tundra and forest by adjusting the GO model against MISR data for winter (March 2000) and summer (August 2008) scenes. We found that the GO model crown aspect ratio from MISR followed dominant shrub species distributions in the USDA, ARS Jornada Experimental Range, enabling differentiation of the more spherical crowns of creosotebush (Larrea tridentata) from the more prolate crowns of honey mesquite (Prosopis glandulosa). The measurement limits determined from 2000-2007 maps for a large part of southern New Mexico are ~0.1 in fractional shrub crown cover and ~3 m in mean canopy height (results obtained using data acquired shortly after precipitation events that radically darkened and altered the structure and angular response of the background). Typical standard deviations over the period for 12 sites covering a range of cover types are on the order of 0.05 in crown cover and 2 m in mean canopy height. We found that the GO model can be inverted to retrieve reasonable distributions of canopy parameters in southwestern environments using MODIS V005 red band surface reflectance estimates at ~250 m spatial resolution accumulated over 16 day periods. The MODIS (N=895) and MISR (N=576) estimates of forest height and cover both showed agreement with USDA, Forest Service estimates, with MODIS mean absolute errors (MAE) of 0.09 and 8.4 m respectively; and MISR MAE of 0.10 and 2.2 m, respectively, noting that a sub-optimal background was used for the MODIS inversions. The MODIS and MISR MAE for estimates of aboveground woody biomass via regression against Forest Service estimates were both 10.1 Mg.ha-1. We found that red band MISR data for central Alaska can be used to obtain first-order estimates of forest cover and height using a snow-free summer scene and shrub cover using a winter scene with full snow cover. The GO model inversion results are often physically unrealistic but spatial distributions correspond to high resolution images and reflect the potential for the multiangle/GO method to retrieve meaningful information that is qualitatively different to that obtained using vegetation indices.

  2. Enhancements to NASA's Land Atmosphere Near Real-Time Capability for EOS (LANCE)

    NASA Technical Reports Server (NTRS)

    Davies, Diane; Michael, Karen; Schmaltz, Jeffrey; Boller, Ryan A.; Masuoka, Ed; Ye, Gang; Roman, Miguel; Vermote, Eric; Harrison, Sherry; Rinsland, Pamela; hide

    2016-01-01

    NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE) supports application users interested in monitoring a wide variety of natural and man-made phenomena. Near Real- Time (NRT) data and imagery from the AIRS, AMSR2, MISR, MLS, MODIS, OMPS, OMI and VIIRS instruments are available much quicker than routine processing allows. Most data products are available within 3 hours from satellite observation. NRT imagery are generally available 3-5 hours after observation. This article describes the LANCE and the enhancements made to the LANCE over the last year. These enhancements include the addition of NRT products from AMSR2, MISR, OMPS and VIIRS. In addition, the selection of LANCE NRT imagery that can be interactively viewed through Worldview and the Global Imagery Browse Services (GIBS) has been expanded. Next year, data from the MOPITT will be added to the LANCE.

  3. Antarctica

    Atmospheric Science Data Center

    2013-04-16

    article title:  Twilight in Antarctica     View larger JPEG ... SpectroRadiometer (MISR) instrument on board Terra. The Ross Ice Shelf and Transantarctic Mountains are illuminated by low Sun. MISR was ...

  4. An Unusual View: MISR sees the Moon

    NASA Image and Video Library

    2017-08-17

    The job of the Multiangle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite is to view Earth. For more than 17 years, its nine cameras have stared downward 24 hours a day, faithfully collecting images used to study Earth's surface and atmosphere. On August 5, however, MISR captured some very unusual data as the Terra satellite performed a backflip in space. This maneuver was performed to allow MISR and the other instruments on Terra to catch a glimpse of the Moon, something that has been done only once before, in 2003. Why task an elderly satellite with such a radical maneuver? Since we can be confident that the Moon's brightness has remained very constant over the mission, MISR's images of the Moon can be used as a check of the instrument's calibration, allowing an independent verification of the procedures used to correct the images for any changes the cameras have experienced over their many years in space. If changes in the cameras' responses to light aren't properly accounted for, the images captured by MISR would make it appear as if Earth were growing darker or lighter, which would throw off scientists' efforts to characterize air pollution, cloud cover and Earth's climate. Because of this, the MISR team uses several methods to calibrate the data, all of which involve imaging something with a known (or independently measured) brightness and correcting the images to match that brightness. Every month, MISR views two panels of a special material called Spectralon, which reflects sunlight in a very particular way, onboard the instrument. Periodically, this calibration is checked by a field team who measures the brightness of a flat, uniformly colored surface on Earth, usually a dry desert lakebed, as MISR flies overhead. The lunar maneuver offers a third opportunity to check the brightness calibration of MISR's images. While viewing Earth, MISR's cameras are fixed at nine different angles, with one (called An) pointed straight down, four canted forwards (Af, Bf, Cf, and Df) and four angled backwards (Aa, Ba, Ca, and Da). The A, B, C, and D cameras have different focal lengths, with the most oblique (D) cameras having the longest focal lengths in order to preserve spatial resolution on the ground. During the lunar maneuver, however, the spacecraft rotated so that each camera saw the almost-full Moon straight on. This means that the different focal lengths produce images with different resolutions. The D cameras produce the sharpest images. These grayscale images were made with raw data from the red spectral band of each camera. Because the spacecraft is constantly rotating while these images were taken, the images are "smeared" in the vertical direction, producing an oval-shaped Moon. These have been corrected to restore the Moon to its true circular shape. https://photojournal.jpl.nasa.gov/catalog/PIA21876

  5. Where on Earth...? MISR Mystery Image Quiz #6

    NASA Technical Reports Server (NTRS)

    2002-01-01

    Here's another chance to play geographical detective! This Multi-angle Imaging SpectroRadiometer (MISR) image covers an area of about 298 kilometers x 358 kilometers, and was captured by the instrument's vertical-viewing (nadir) camera on December 27, 2001. Use any reference materials you like and answer the following five questions: The large lagoon in the image is named for a particular type of bird. Name the bird. Note the sediment plume emanating from the southern end of the lagoon. Sailors in the 16th century imagined this outlet to be the mouth of a large river. What did they call the river? A series of wave-like points and curls form 'cusps' on the inner shores of the lagoon. Which ONE of the following is most responsible for the formation of these cusps? Violent storm impacts on erosion and accretion Wind and tide-driven sediment transport and circulation Tectonic folding associated with nearby mountain ridges Bathymetric effects of dredging operations True or false: Changes in regional precipitation associated with large scale atmospheric circulation patterns have no effect on the salinity of the lagoon's water. Which one of these is NOT distributed within the area covered by this image? Ruppia maritima Chelonia mydas Tapirus bairdii Microcystis aeruginosa E-mail your answers, name (initials are acceptable if you prefer), and your hometown by Tuesday, February 19, 2002 to suggestions@mail-misr.jpl.nasa.gov. Answers will be published on the MISR web site in conjunction with the next weekly image release. The names and home towns of respondents who answer all questions correctly by the deadline will also be published in the order responses were received. The first 3 people on this list who are not affiliated with NASA, JPL, or MISR and who did not win a prize in the last quiz will be sent a print of the image. A new 'Where on Earth...?' mystery appears as the MISR 'image of the week' approximately once per month. A new image of the week is released every Wednesday at noon Pacific time on the MISR home page http://www-misr.jpl.nasa.gov. The image also appears on the Atmospheric Sciences Data Center home page, http://eosweb.larc.nasa.gov, though usually with a several-hour delay. Image courtesy NASA/GSFC/LaRC/JPL, MISR Team.

  6. MISR Aerosol Product Attributes and Statistical Comparisons with MODIS

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.; Nelson, David L.; Garay, Michael J.; Levy, Robert C.; Bull, Michael A.; Diner, David J.; Martonchik, John V.; Paradise, Susan R.; Hansen, Earl G.; Remer, Lorraine A.

    2009-01-01

    In this paper, Multi-angle Imaging SpectroRadiometer (MISR) aerosol product attributes are described, including geometry and algorithm performance flags. Actual retrieval coverage is mapped and explained in detail using representative global monthly data. Statistical comparisons are made with coincident aerosol optical depth (AOD) and Angstrom exponent (ANG) retrieval results from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. The relationship between these results and the ones previously obtained for MISR and MODIS individually, based on comparisons with coincident ground-truth observations, is established. For the data examined, MISR and MODIS each obtain successful aerosol retrievals about 15% of the time, and coincident MISR-MODIS aerosol retrievals are obtained for about 6%-7% of the total overlap region. Cloud avoidance, glint and oblique-Sun exclusions, and other algorithm physical limitations account for these results. For both MISR and MODIS, successful retrievals are obtained for over 75% of locations where attempts are made. Where coincident AOD retrievals are obtained over ocean, the MISR-MODIS correlation coefficient is about 0.9; over land, the correlation coefficient is about 0.7. Differences are traced to specific known algorithm issues or conditions. Over-ocean ANG comparisons yield a correlation of 0.67, showing consistency in distinguishing aerosol air masses dominated by coarse-mode versus fine-mode particles. Sampling considerations imply that care must be taken when assessing monthly global aerosol direct radiative forcing and AOD trends with these products, but they can be used directly for many other applications, such as regional AOD gradient and aerosol air mass type mapping and aerosol transport model validation. Users are urged to take seriously the published product data-quality statements.

  7. Application of Spectral Analysis Techniques in the Intercomparison of Aerosol Data: Part III. Using Combined PCA to Compare Spatiotemporal Variability of MODIS, MISR and OMI Aerosol Optical Depth

    NASA Technical Reports Server (NTRS)

    Li, Jing; Carlson, Barbara E.; Lacis, Andrew A.

    2014-01-01

    Satellite measurements of global aerosol properties are very useful in constraining aerosol parameterization in climate models. The reliability of different data sets in representing global and regional aerosol variability becomes an essential question. In this study, we present the results of a comparison using combined principal component analysis (CPCA), applied to monthly mean, mapped (Level 3) aerosol optical depth (AOD) product from Moderate Resolution Imaging Spectroradiometer (MODIS), Multiangle Imaging Spectroradiometer (MISR), and Ozone Monitoring Instrument (OMI). This technique effectively finds the common space-time variability in the multiple data sets by decomposing the combined AOD field. The results suggest that all of the sensors capture the globally important aerosol regimes, including dust, biomass burning, pollution, and mixed aerosol types. Nonetheless, differences are also noted. Specifically, compared with MISR and OMI, MODIS variability is significantly higher over South America, India, and the Sahel. MODIS deep blue AOD has a lower seasonal variability in North Africa, accompanied by a decreasing trend that is not found in either MISR or OMI AOD data. The narrow swath of MISR results in an underestimation of dust variability over the Taklamakan Desert. The MISR AOD data also exhibit overall lower variability in South America and the Sahel. OMI does not capture the Russian wild fire in 2010 nor the phase shift in biomass burning over East South America compared to Central South America, likely due to cloud contamination and the OMI row anomaly. OMI also indicates a much stronger (boreal) winter peak in South Africa compared with MODIS and MISR.

  8. Improving Aerosol and Visibility Forecasting Capabilities Using Current and Future Generations of Satellite Observations

    DTIC Science & Technology

    2015-08-27

    Shi et al. (2011) suggested that large spatial discrepancies exist in operational satellite aerosol products such as MODIS and MISR. Thus, before...to be fully evaluated. In the past few years of the project period, MODIS Deep Blue (DB) and MISR aerosol products have been studied, and schemes for...constructing DA-grade MODIS DB and MISR aerosol products have been developed and transitioned to the Naval Research Laboratory (NRL). Continuing

  9. Characterizing error distributions for MISR and MODIS optical depth data

    NASA Astrophysics Data System (ADS)

    Paradise, S.; Braverman, A.; Kahn, R.; Wilson, B.

    2008-12-01

    The Multi-angle Imaging SpectroRadiometer (MISR) and Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's EOS satellites collect massive, long term data records on aerosol amounts and particle properties. MISR and MODIS have different but complementary sampling characteristics. In order to realize maximum scientific benefit from these data, the nature of their error distributions must be quantified and understood so that discrepancies between them can be rectified and their information combined in the most beneficial way. By 'error' we mean all sources of discrepancies between the true value of the quantity of interest and the measured value, including instrument measurement errors, artifacts of retrieval algorithms, and differential spatial and temporal sampling characteristics. Previously in [Paradise et al., Fall AGU 2007: A12A-05] we presented a unified, global analysis and comparison of MISR and MODIS measurement biases and variances over lives of the missions. We used AErosol RObotic NETwork (AERONET) data as ground truth and evaluated MISR and MODIS optical depth distributions relative to AERONET using simple linear regression. However, AERONET data are themselves instrumental measurements subject to sources of uncertainty. In this talk, we discuss results from an improved analysis of MISR and MODIS error distributions that uses errors-in-variables regression, accounting for uncertainties in both the dependent and independent variables. We demonstrate on optical depth data, but the method is generally applicable to other aerosol properties as well.

  10. MISR Images Wildfires in Northwestern US

    NASA Technical Reports Server (NTRS)

    2000-01-01

    MISR image of smoke plumes from devastating wildfires in the northwestern US. This view of the Clearwater and Salmon River Mountains in Idaho was acquired on August 5, 2000 (Terra orbit 3370). The body of water to the left of image center is the Cascade Reservoir, located about 100 km north of Boise and 80 km east of the Snake River. North is at the top, and the image is approximately 380 km across.

    In addition to the huge plumes traversing the mountains in the northern part of the image, smoke accumulating in the lower elevation canyons and plains is visible. This image was generated using data from the MISR camera that looks forward at a steep angle (70.5 degrees). The smoke is far more visible when viewed at this highly oblique angle than it would be in a conventional, straight-downward view. In creating this color composite, data from the blue and green MISR bands, acquired at 1.1-km spatial resolution, were digitally 'sharpened' using 275-m resolution data acquired in the red band.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

    For more information: http://www-misr.jpl.nasa.gov

  11. Florida

    Atmospheric Science Data Center

    2014-05-15

    ...     View Larger Image Multi-angle Imaging SpectroRadiometer (MISR) images of Florida ... Center Atmospheric Science Data Center in Hampton, VA. Photo credit: NASA/GSFC/LaRC/JPL, MISR Science Team Other formats ...

  12. MISR CMV New Data

    Atmospheric Science Data Center

    2016-10-31

    Cloud Motion Vector (CMV) Product The MISR Level 3 Products are global or ... field campaigns at daily and monthly time scales. The CMV product provides conveniently organized, high quality retrievals of cloud ...

  13. MISR Regional UAE2 Products

    Atmospheric Science Data Center

    2013-04-29

    ... Basis Documents . Images available on this web site include the following parameters: Image Description ... DHR integrated over the Photosynthetically Active Radiation (PAR) band. For those familiar with the MISR Level 2 ...

  14. James Bay

    Atmospheric Science Data Center

    2013-04-17

    ...     View Larger Image The first images taken by NASA's Multi-angle Imaging ... many of MISR's new and unique capabilities," said Dr. David J. Diner, MISR principal investigator of NASA's Jet Propulsion Laboratory, ...

  15. Shrub Abundance Mapping in Arctic Tundra with Misr

    NASA Astrophysics Data System (ADS)

    Duchesne, R.; Chopping, M. J.; Wang, Z.; Schaaf, C.; Tape, K. D.

    2013-12-01

    Over the last 60 years an increase in shrub abundance has been observed in the Arctic tundra in connection with a rapid surface warming trend. Rapid shrub expansion may have consequences in terms of ecosystem structure and function, albedo, and feedbacks to climate; however, its rate is not yet known. The goal of this research effort is thus to map large scale changes in Arctic tundra vegetation by exploiting the structural signal in moderate resolution satellite remote sensing images from NASA's Multiangle Imaging SpectroRadiometer (MISR), mapped onto a 250m Albers Conic Equal Area grid. We present here large area shrub mapping supported by reference data collated using extensive field inventory data and high resolution panchromatic imagery. MISR Level 1B2 Terrain radiance scenes from the Terra satellite from 15 June-31 July, 2000 - 2010 were converted to surface bidirectional reflectance factors (BRF) using MISR Toolkit routines and the MISR 1 km LAND product BRFs. The red band data in all available cameras were used to invert the RossThick-LiSparse-Reciprocal BRDF model to retrieve kernel weights, model-fitting RMSE, and Weights of Determination. The reference database was constructed using aerial survey, three field campaigns (field inventory for shrub count, cover, mean radius and height), and high resolution imagery. Tall shrub number, mean crown radius, cover, and mean height estimates were obtained from QuickBird and GeoEye panchromatic image chips using the CANAPI algorithm, and calibrated using field-based estimates, thus extending the database to over eight hundred locations. Tall shrub fractional cover maps for the North Slope of Alaska were constructed using the bootstrap forest machine learning algorithm that exploits the surface information provided by MISR. The reference database was divided into two datasets for training and validation. The model derived used a set of 19 independent variables(the three kernel weights, ratios and interaction terms; white and black sky albedos; and blue, green, red, and NIR nadir camera BRFs), to grow a forest of decision trees. The final estimate is the average of the predicted values from each tree. Observations not used in constructing the trees were used in validation. The model was applied with a large volume of MISR data and the resulting fractional cover estimates were combined into annual maps using a compositing algorithm that flags results affected by cloud, cloud shadow, surface water, extreme outliers, topographic shading, and burned areas. The maps show that shrub cover is lower on the north slope in comparison to southern part, as expected, however, a preliminary assessment of the fractional cover change over the last decade, achieved by averaging fractional cover values for 2000-2002 and 2008-2010 and then calculating the change between the two periods, revealed that there are large areas for which we cannot determine the sign of the change with high confidence, as the precision of our estimate is close to the magnitude of the cover values. Additional research is thus required to reliably map shrub cover in this environment at annual intervals.

  16. Appalachian Mountains

    Atmospheric Science Data Center

    2014-05-15

    ... Radiance Ellipsoid Product. MISR uses this enhanced sensitivity along with the angular variation in signal to monitor particulate ... of MISR's unique capability of providing moderately high spatial resolution, calibrated imagery at very oblique angles. Gradations ...

  17. Hurricane Katrina

    Atmospheric Science Data Center

    2013-01-08

    ... Mississippi regions were acquired before and one day after Katrina made landfall along the Gulf of Mexico coast, and highlight many of the ... http://eosweb.larc.nasa.gov/HPDOCS/misr/misr_html/hurricane_katrina_flood.html ...

  18. Mystery #19 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... article title:  MISR Mystery Image Quiz #19: Black Sea     View Larger Image This natural-color image of the Black Sea from the Multi-angle Imaging SpectroRadiometer (MISR) represents an area of ...

  19. Statistical Inter-comparison Analysis of MODIS, MISR, and AERONET Over the Middle East and North Africa

    NASA Astrophysics Data System (ADS)

    Farahat, A.; El-Askary, H. M.; Kalashnikova, O. V.; Garay, M. J.

    2016-12-01

    Several space-borne and ground based sensors can provide long-standing monitoring of aerosols characteristics, but inconsistencies among different sensors reduce data reliability and lead to uncertainty in analysing long-term data. In this study, we perform statistical inter-comparison of the Aerosol Optical Depth (AOD) among MISR, MODIS/Terra, MODIS/Aqua and Aerosol Robotic Network (AERONET) over seven sites located in the Middle East and North Africa during the period (1995 -2015). The sites are categorized into two regions based on their geographic location and possible dominate particles composition. Compared to MISR, MODIS and AERONET AOD data retrievals indicate larger uncertainty over all sites with a larger daily variability in MODIS measurements. In general, MISR and MODIS AOD matches during high dust seasons but MODIS tends to under estimate the AOD values on low dust seasons. While Terra measurements give a negative trend over the time series at the dust-dominated sites, Aqua, MISR and AERONET show a positive trend. In general, MODIS/Aqua displays stable measurements over the time line at the dust dominated sites. MODIS/Terra, MODIS/Aqua and MISR display a positive trend over Cairo_EMA site while AERONET shows a negative trend over the time line. Terra was found to overestimate AOD during 2002 - 2004 and underestimates it after 2004. We also observe a deviation between Aqua and Terra regardless of the region and data sampling. Excluding Bahrain and Cairo_EMA for low data retrievals the performance of MODIS tends to be similar over all region with 68 % of the retrieved AOD values fall within the confidence range of the AERONET matched data, within global averaged level (> 66 %). MISR indicated better data performance with 72 % falls within the same confidence range. Complimentary MISR and MODIS data was found to provide a better picture of dust storms evolution over Arabian Peninsula and the Middle East. Acknowledgement The authors would like to acknowledge the support provided by the Deanship of Scientific Research (DSR) at the King Fahd University of Petroleum and Minerals (KFUPM) for funding this work through project No. IN141051.

  20. Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data

    NASA Astrophysics Data System (ADS)

    Bibi, Humera; Alam, Khan; Chishtie, Farrukh; Bibi, Samina; Shahid, Imran; Blaschke, Thomas

    2015-06-01

    This study provides an intercomparison of aerosol optical depth (AOD) retrievals from satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS), Multiangle Imaging Spectroradiometer (MISR), Ozone Monitoring Instrument (OMI), and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) instrumentation over Karachi, Lahore, Jaipur, and Kanpur between 2007 and 2013, with validation against AOD observations from the ground-based Aerosol Robotic Network (AERONET). Both MODIS Deep Blue (MODISDB) and MODIS Standard (MODISSTD) products were compared with the AERONET products. The MODISSTD-AERONET comparisons revealed a high degree of correlation for the four investigated sites at Karachi, Lahore, Jaipur, and Kanpur, the MODISDB-AERONET comparisons revealed even better correlations, and the MISR-AERONET comparisons also indicated strong correlations, as did the OMI-AERONET comparisons, while the CALIPSO-AERONET comparisons revealed only poor correlations due to the limited number of data points available. We also computed figures for root mean square error (RMSE), mean absolute error (MAE) and root mean bias (RMB). Using AERONET data to validate MODISSTD, MODISDB, MISR, OMI, and CALIPSO data revealed that MODISSTD data was more accurate over vegetated locations than over un-vegetated locations, while MISR data was more accurate over areas close to the ocean than over other areas. The MISR instrument performed better than the other instruments over Karachi and Kanpur, while the MODISSTD AOD retrievals were better than those from the other instruments over Lahore and Jaipur. We also computed the expected error bounds (EEBs) for both MODIS retrievals and found that MODISSTD consistently outperformed MODISDB in all of the investigated areas. High AOD values were observed by the MODISSTD, MODISDB, MISR, and OMI instruments during the summer months (April-August); these ranged from 0.32 to 0.78, possibly due to human activity and biomass burning. In contrast, high AOD values were observed by the CALIPSO instrument between September and December, due to high concentrations of smoke and soot aerosols. The variable monthly AOD figures obtained with different sensors indicate overestimation by MODISSTD, MODISDB, OMI, and CALIPSO instruments over Karachi, Lahore, Jaipur and Kanpur, relative to the AERONET data, but underestimation by the MISR instrument.

  1. Lutzow-Holm Bay

    Atmospheric Science Data Center

    2013-04-16

    ... of the region and can be used to understand the geophysical environment. The top panel shows the region from MISR's downward-looking ... angular reflectance properties help explain the geophysical environment. project:  MISR category:  gallery ...

  2. Mystery #6 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... title:  MISR Mystery Image Quiz #6: Brazil's Duck Lagoon     View Larger Image ... Imaging SpectroRadiometer (MISR) image of Brazil's Duck Lagoon covers an area of about 298 kilometers x 358 kilometers, and was ...

  3. Alaska: Beaufort Sea

    Atmospheric Science Data Center

    2014-05-15

    ... Imaging SpectroRadiometer (MISR), illustrate different methods that may be used to assess sea ice type. Sea ice in the Beaufort Sea ... March 19, 2001 - Illustration of different methods to assess sea ice type. project:  MISR ...

  4. MISR RICO Products

    Atmospheric Science Data Center

    2016-11-25

    ... microphysics of the transition to a mature rainshaft, organization of trade wind clouds, water budget of trade wind cumulus, and the ... (MISR) mission objectives involve providing accurate information on cloud cover, cloud-track winds, stereo-derived cloud-top ...

  5. Kruger National Park

    Atmospheric Science Data Center

    2013-04-15

    ...     View Larger Image These images of northeastern South Africa, near Kruger National ... Unlike the MISR view, the AirMISR data are in "raw" form and processing to remove radiometric and geometric distortions has not yet been ...

  6. MISR Imagery and Articles

    Atmospheric Science Data Center

    2016-05-27

    ... :  Imagery supporting field campaigns, intensive research studies MISR Browse Tool :  Easy access to ellipsoid ... more prevalent than was previously believed. Squeezing Water from Rock : Survivors of the New Madrid earthquakes reported not only ...

  7. Stars and Stripes

    Atmospheric Science Data Center

    2013-04-22

    ... some "dark current" data was acquired to assess instrument performance. The image at left represents 41 seconds of data taken during a ... MISR Team. February 12, 2000 - Instrument performance assessment - data obtained before MISR's covers were removed. ...

  8. Mystery #11

    Atmospheric Science Data Center

    2013-04-22

    article title:  MISR Mystery Image Quiz #11     View Larger Image Here's another chance to play geographical detective! These images ... MISR Team. Text acknowledgment: Clare Averill, David J. Diner, Graham Bothwell (Jet Propulsion Laboratory). Other formats ...

  9. MISR INTEX-B Products

    Atmospheric Science Data Center

    2016-11-25

    ... scales and assess their impact on air quality and climate. Phase B will be performed March 1-31, 2006 and it will focus on Mexico City pollution outflow. The Multi-angle Imaging SpectroRadiometer (MISR) team ...

  10. What We are Learning from (and About) the 10 Plus Year MISR Aerosol Data Record

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.

    2010-01-01

    Having a 10+ year data record from the Multi-angle Imaging SpectroRadiometer (MISR) significantly improves our opportunities to validate the retrieved aerosol optical depth (AOD) and especially particle microphysical property products. It also begins to raise the possibility of using the data to look for changes or even trends, at least on a regional basis. Further, we have had the opportunity to expand the database of wildfire smoke plume heights derived from the multiangle observations. This presentation will review the latest aerosol validation results and algorithm upgrades under consideration by the MISR team, and will summarize the current status of MISR global aerosol air mass type, and regional dust transport and smoke injection height products. The strengths and limitations of these data for constraining aerosol transport model simulations will receive special emphasis.

  11. New 4.4 km-resolution aerosol product from NASA's Multi-angle Imaging SpectroRadiometer: A user's guide

    NASA Astrophysics Data System (ADS)

    Nastan, A.; Garay, M. J.; Witek, M. L.; Seidel, F.; Bull, M. A.; Kahn, R. A.; Diner, D. J.

    2017-12-01

    The NASA Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite has provided an 18-year-and-growing aerosol data record. MISR's V22 aerosol product has been used extensively in studies of regional and global climate and the health effects of particulate air pollution. The MISR team recently released a new version of this product (V23), which increases the spatial resolution from 17.6 km to 4.4 km, improves performance versus AERONET, and provides better spatial coverage, more accurate cloud screening, and improved radiometric conditioning relative to V22. The product formatting was also completely revamped to improve clarity and usability. Established and prospective users of the MISR aerosol product are invited to learn about the features and performance of the new product and to participate in one-on-one demonstrations of how to obtain, visualize, and analyze the new product. Because the aerosol product is used in generating atmospherically-corrected surface bidirectional reflectance factors, improvements in MISR's 1.1 km resolution land surface product are a by-product of the updated aerosol retrievals. Illustrative comparisons of the V22 and V23 aerosol and surface products will be shown.

  12. Great Barrier Reef

    Atmospheric Science Data Center

    2013-04-16

    ... Its hinterland is a rich pastoral, agricultural, and mining region. MISR was built and is managed by NASA's Jet Propulsion ... NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science ...

  13. MISR Current Project Quality

    Atmospheric Science Data Center

    2016-11-25

    ... may contain parameters at varying quality levels.   ORGANIZATION MISR Products are divided into four groups, Level 1, Level 2 ... are provided both to complement Standard Product quality information and to satisfy those who order the ancillary products. ARP ...

  14. MISR New Project Quality

    Atmospheric Science Data Center

    2016-11-25

    ... may contain parameters at varying quality levels.   ORGANIZATION This document relates to the  NEW  MISR Level 2 and Level ... are provided both to complement Standard Product quality information and to satisfy those who order the ancillary products. ARP ...

  15. MISR-Versioning-V23

    Atmospheric Science Data Center

    2018-02-21

    ... MISR-Versioning-V23   Version Number: F13_0023 (aerosol), F08_0023 (land) Production Start Date: 11/1/2017 Product Updates:   This is a major revision to aerosol and land surface products, including both product format and algorithm ...

  16. Where on Earth...? MISR Mystery Image Quiz #24: Shandong Province, China

    NASA Image and Video Library

    2010-11-03

    This image of the Shandong Province, China was acquired by the Multi-angle Imaging SpectroRadiometer instrument aboard NASA Terra spacecraft. This image is from the MISR Where on Earth...? Mystery Quiz #24.

  17. Mystery #28

    Atmospheric Science Data Center

    2017-06-14

    ... ready for a challenge? Become a geographical detective and solve the latest mystery quiz from NASA’s MISR (Multi-angle Imaging ... ready for a challenge? Become a geographical detective and solve the latest mystery quiz from NASA’s MISR (Multi-angle Imaging ...

  18. MISR UAE2 Aerosol Versioning

    Atmospheric Science Data Center

    2013-03-21

    ... The "Beta" designation means particle microphysical property validation is in progress, uncertainty envelopes on particle size distribution, ... UAE-2 campaign activities are part of the validation process, so two versions of the MISR aerosol products are included in this ...

  19. Stereoscopic Retrieval of Smoke Plume Heights and Motion from Space-Based Multi-Angle Imaging, Using the MISR INteractive eXplorer(MINX)

    NASA Technical Reports Server (NTRS)

    Nelson, David L.; Kahn, Ralph A.

    2014-01-01

    Airborne particles desert dust, wildfire smoke, volcanic effluent, urban pollution affect Earth's climate as well as air quality and health. They are found in the atmosphere all over the planet, but vary immensely in amount and properties with season and location. Most aerosol particles are injected into the near-surface boundary layer, but some, especially wildfire smoke, desert dust and volcanic ash, can be injected higher into the atmosphere, where they can stay aloft longer, travel farther, produce larger climate effects, and possibly affect human and ecosystem health far downwind. So monitoring aerosol injection height globally can make important contributions to climate science and air quality studies. The Multi-angle Imaging Spectro-Radiometer (MISR) is a space borne instrument designed to study Earths clouds, aerosols, and surface. Since late February 2000 it has been retrieving aerosol particle amount and properties, as well as cloud height and wind data, globally, about once per week. The MINX visualization and analysis tool complements the operational MISR data products, enabling users to retrieve heights and winds locally for detailed studies of smoke plumes, at higher spatial resolution and with greater precision than the operational product and other space-based, passive remote sensing techniques. MINX software is being used to provide plume height statistics for climatological studies as well as to investigate the dynamics of individual plumes, and to provide parameterizations for climate modeling.

  20. Enhancements to NASA's Land Atmosphere Near real-time Capability for EOS (LANCE)

    NASA Astrophysics Data System (ADS)

    Michael, K.; Davies, D. K.; Schmaltz, J. E.; Boller, R. A.; Mauoka, E.; Ye, G.; Vermote, E.; Harrison, S.; Rinsland, P. L.; Protack, S.; Durbin, P. B.; Justice, C. O.

    2016-12-01

    NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE) supports application users interested in monitoring a wide variety of natural and man-made phenomena. Near Real-Time (NRT) data and imagery from the AIRS, AMSR2, MISR, MLS, MODIS, OMI and VIIRS instruments are available much quicker than routine processing allows. Most data products are available within 3 hours from satellite observation. NRT imagery are generally available 3-5 hours after observation. This article describes LANCE and enhancements made to LANCE over the last year. These enhancements include: the addition of MISR L1 Georeferenced Radiance and L2 Cloud Motion Vector products, AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture products and VIIRS VIIRS Day/Night Band, Land Surface Reflectance and Corrected Surface reflectance products. In addition, the selection of LANCE NRT imagery that can be interactively viewed through Worldview and the Global Imagery Browse Services (GIBS) has been expanded. LANCE is also working to ingest and process data from OMPS.

  1. Access to MISR Aerosol Data and Imagery for the GoMACCS Field Study

    NASA Astrophysics Data System (ADS)

    Ritchey, N.; Watkinson, T.; Davis, J.; Walter, J.; Protack, S.; Matthews, J.; Smyth, M.; Rheingans, B.; Gaitley, B.; Ferebee, M.; Haberer, S.

    2006-12-01

    NASA Langley Atmospheric Science Data Center (ASDC) and NASA Jet Propulsion Laboratory (JPL) Multi- angle Imaging SpectroRadiometer (MISR) teams collaborated to provide special data products and images in an innovative approach for the Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS) field campaign. GoMACCS was an intensive field study focused on providing a better understanding of the sources and atmospheric processes responsible for the formation and distribution of ozone and aerosols in the atmosphere and the influence that these species have on the radiative forcing of regional and global climate, as well as their impact on human health and regional haze. The study area encompassed Texas and the northwestern Gulf of Mexico. Numerous U. S. Government agencies, universities and commercial entities participated in the field campaign which occurred August through September 2006. Aerosol and meteorological measurements were provided by a network of instruments on land, buoys and ships, by airborne in situ and remote instruments, and by satellite retrievals. MISR's role in GoMACCS was to provide satellite retrievals of aerosols and cloud properties and imagery as quickly as possible after data acquisition. The diverse group of scientific participants created unique opportunities for ASDC and MISR to develop special data products and images that were easily accessible by all participants. Examples of the data products, images and access methods as well as the data and imagery flow will be presented. Additional information about ASDC and MISR is available from the following web sites, http://eosweb.larc.nasa.gov and http://www-misr.jpl.nasa.gov/.

  2. Idaho Fires

    Atmospheric Science Data Center

    2014-05-15

    article title:  Wildfires in Northwestern United States     ... (MISR) image of smoke plumes from devastating wildfires in the northwestern United States. This view of the Clearwater and ... at JPL August 5, 2000 - Smoke plumes from wildfires in Idaho. project:  MISR category:  ...

  3. 2016 Summer Olympic Games Site

    Atmospheric Science Data Center

    2016-12-30

    article title:  Site of the 2016 Summer Olympic Games viewed by NASA's MISR     ... 2, 2016, just prior to the opening of the Summer Olympic Games. On the left is an image from MISR's nadir (downward-looking) camera; the ...

  4. Bouvet Island near Antarctica

    Atmospheric Science Data Center

    2013-04-16

    ... in 1935. However, this protection was incorporated into international agreement in 1959. MISR was built and is managed by NASA's ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA ...

  5. MISR Data Product Specifications

    Atmospheric Science Data Center

    2016-11-25

    ... and usage of metadata. Improvements to MISR algorithmic software occasionally result in changes to file formats. While these changes ...  (DPS).   DPS Revision:   Rev. S Software Version:  5.0.9 Date:  September 20, 2010, updated April ...

  6. Pine Island Glacier, Antarctica, MISR Multi-angle Composite

    Atmospheric Science Data Center

    2013-12-17

    ...     View Larger Image (JPEG) A large iceberg has finally separated from the calving front ... next due to stereo parallax. This parallax is used in MISR processing to retrieve cloud heights over snow and ice. Additionally, a plume ...

  7. What are the benefits of having multiple camera angles?

    Atmospheric Science Data Center

    2014-12-08

    ... and aerosols, the ocean, and terrestrial surfaces such as soil, vegetation and snow or ice) reflect solar light differently in different ... detailed information is provided on the MISR web site Science Goals and Objectives page.   MISR: ...

  8. Where on Earth...? MISR Mystery Image Quiz #3:Lofoten Islands, Norway

    NASA Image and Video Library

    2001-09-26

    Lofoten Islands, Norway. Norway is deeply indented by fjords, rises precipitously to high plateaus, and is united with the ocean by numerous islands. This image from NASA Terra satellite is MISR Mystery Image Quiz #2.

  9. Where on Earth...? MISR Mystery Image Quiz #13: Western Uzbekistan and Northeastern Turkmenistan

    NASA Image and Video Library

    2003-03-19

    Acquired by the Multi-angle Imaging SpectroRadiometer instrument aboard NASA Terra spacecraft, this image is from the MISR Where on Earth...? Mystery Quiz #13. The location is Western Uzbekistan and Northeastern Turkmenistan.

  10. MISR Level 1A Products

    Atmospheric Science Data Center

    2013-04-01

    ... MISR Level 1A Products Level 1A Engineering Data File Type 1 and Level 1A Navigation Data Processing ... Product Specification Rev K  (PDF). Transparent software rebuild with Irix 6.5.2 OS. F01_0007 (FM_ENG), ...

  11. Multi-angle Imaging Spectro Radiometer (MISR) Design Issues Influened by Performance Requirements

    NASA Technical Reports Server (NTRS)

    Bruegge, C. J.; White, M. L.; Chrien, N. C. L.; Villegas, E. B.; Raouf, N.

    1993-01-01

    The design of an Earth Remote Sensing Sensor, such as the Multi-angle Imaging SpectroRadiometer (MISR), begins with a set of science requirements and is quickly followed by a set of instrument specifications.

  12. Colorado

    Atmospheric Science Data Center

    2014-05-15

    ... the Multi-angle Imaging SpectroRadiometer (MISR). On the left, a natural-color view acquired by MISR's vertical-viewing (nadir) camera ... Gunnison River at the city of Grand Junction. The striking "L" shaped feature in the lower image center is a sandstone monocline known as ...

  13. What MISR data are available for field experiments?

    Atmospheric Science Data Center

    2014-12-08

    MISR data and imagery are available for many field campaigns. Select data products are subset for the region and dates of interest. Special gridded regional products may be available as well as Local Mode data for select targets...

  14. Variability of Aerosol and its Impact on Cloud Properties Over Different Cities of Pakistan

    NASA Astrophysics Data System (ADS)

    Alam, Khan

    Interaction between aerosols and clouds is the subject of considerable scientific research, due to the importance of clouds in controlling climate. Aerosols vary in time in space and can lead to variations in cloud microphysics. This paper is a pilot study to examine the temporal and spatial variation of aerosol particles and their impact on different cloud optical properties in the territory of Pakistan using the Moderate resolution Imaging Spectroradiometer (MODIS) on board NASA's Terra satellite data and Multi-angle Imaging Spectroradiometer (MISR) data. We also use Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model for trajectory analysis to obtain origin of air masses in order to understand the spatial and temporal variability of aerosol concentrations. We validate data of MODIS and MISR by using linear correlation and regression analysis, which shows that there is an excellent agreement between data of these instruments. Seasonal study of Aerosol Optical Depth (AOD) shows that maximum value is found in monsoon season (June-August) over all study areas. We analyze the relationships between aerosol optical depth (AOD) and some cloud parameters like water vapor (WV), cloud fraction (CF), cloud top temperature (CTT) and cloud top pressure (CTP). We construct the regional correlation maps and time series plots for aerosol and cloud parameters mandatory for the better understanding of aerosol-cloud interaction. Our analyses show that there is a strong positive correlation between AOD and water vapor in all cities. The correlation between AOD and CF is positive for the cities where the air masses are moist while the correlation is negative for cities where air masses are relatively dry and with lower aerosol abundance. It shows that these correlations depend on meteorological conditions. Similarly as AOD increases Cloud Top Pressure (CTP) is decreasing while Cloud Top Temperature (CTT) is increasing. Key Words: MODIS, MISR, HYSPLIT, AOD, CF, CTP, CTT

  15. MISR Stereo Imagery of Blue Mountain Fires in New South Wales, Australia

    Atmospheric Science Data Center

    2013-12-17

    article title:  MISR Stereo Imagery of Blue Mountain Fires in New South Wales, Australia   ... mile (2 kilometers). On this date, the winds were relatively light and the temperature was around 77 degrees Fahrenheit (25 degrees ...

  16. Namibia and Central Angola

    Atmospheric Science Data Center

    2013-04-15

    ... The images on the left are natural color (red, green, blue) images from MISR's vertical-viewing (nadir) camera. The images on the ... one of MISR's derived surface products. The radiance (light intensity) in each pixel of the so-called "top-of-atmosphere" images on ...

  17. MISR L3 Global Products

    Atmospheric Science Data Center

    2016-10-31

    Global Products The MISR Level 3 Products are global or regional maps of select parameters from the Level 2 products and ... from multiple orbits are combined to make complete Level 3 global maps at daily (D), monthly (M), quarterly (Q), and yearly (Y) time ...

  18. MISR Science Data Validation Plan Summary Charts

    NASA Technical Reports Server (NTRS)

    Conel, J.; Ledeboer, W.; Ackerman, T.; Marchand, R.; Clothiaux, E.

    2000-01-01

    The purpose of the MISR experiment is to acquire systematic multi-angle imagery for global monitoring over a multi-year period of top-of-atmosphere and surface albedos and to measure the shortwave radiative properties of aerosols, clouds, and surface scenes.

  19. MISR Regional VBBE Products

    Atmospheric Science Data Center

    2016-08-24

    ... parameters from one Level 1 or Level 2 product. Further information about the Level 1 and Level 2 data products can be found on the  ... the  MISR VBBE data table . Images available on this web site include the following parameters: Image Description ...

  20. MISR Regional GoMACCS Products

    Atmospheric Science Data Center

    2016-08-24

    ... parameters from one Level 1 or Level 2 product. Further information about the Level 1 and Level 2 data products can be found on the  ... MISR GoMACCS data table . Images available on this web site include the following parameters: Image Description ...

  1. MISR Regional SAMUM Imagery Overview

    Atmospheric Science Data Center

    2016-08-24

    ... View Data  |  Download Data About this Web Site: Visualizations of select MISR Level 3 data for special regional ... regional version used in support of the SAMUM Campaign. More information about the Level 1 and Level 2 products subsetted for the SAMUM ...

  2. MISR Regional VBBE Imagery Overview

    Atmospheric Science Data Center

    2016-08-24

    ... View Data  |  Download Data About this Web Site: Visualizations of select MISR Level 3 data for special regional ... regional version used in support of the VBBE Campaign. More information about the Level 1 and Level 2 products subsetted for the VBBE ...

  3. MISR Regional SAMUM Products

    Atmospheric Science Data Center

    2016-08-24

    ... parameters from one Level 1 or Level 2 product. Further information about the Level 1 and Level 2 data products can be found on the  ... the  MISR SAMUM data table . Images available on this web site include the following parameters: Image Description ...

  4. MISR ENVI Tool

    Atmospheric Science Data Center

    2013-03-20

    ... projection definitions are provided for augmenting the ENVI defined map projections file, and a sample ENVI menu file which adds a menu ...  |  PDF Users Guide ). The misr_envi tool software can be downloaded as a tar file containing all twelve files,  ...

  5. Constraints on Global Aerosol Types: Past, Present, and Near-Future

    NASA Astrophysics Data System (ADS)

    Kahn, Ralph

    2014-05-01

    Although the recent IPCC fifth assessment report (AR5) suggests that confidence in estimated direct aerosol radiative forcing (DARF) is high, indications are that there is little agreement among current climate models about the global distribution of aerosol single-scattering albedo (SSA). SSA must be associated with specific surface albedo and aerosol optical depth (AOD) values to calculate DARF with confidence, and global-scale constraints on aerosol type, including SSA, are poor at present. Yet, some constraints on aerosol type have been demonstrated for several satellite instruments, including the NASA Earth Observing System's Multi-angle Imaging SpectroRadiometer (MISR). The time-series of approximately once-weekly, global MISR observations has grown to about 14 years. The MISR capability amounts to three-to-five bins in particle size, two-to-four bins in SSA, and spherical vs. non-spherical particle distinctions, under good retrieval conditions. As the record of coincident, suborbital validation data has increased steadily, it has become progressively more feasible to assess and to improve the operational algorithm constraints on aerosol type. This presentation will discuss planned refinements to the MISR operational algorithm, and will highlight recent efforts at using MISR results to help better represent wildfire smoke, volcanic ash, and urban pollution in climate models.

  6. Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Misra, Amit; Kanawade, Vijay P.; Tripathi, Sachchida Nand

    Aerosol optical depth (AOD) values from 17 CMIP5 models are compared with Moderate Resolution Imaging Spectroradiometer (MODIS) and Multiangle Imaging Spectroradiometer (MISR) derived AODs over India. The objective is to identify the cases of successful AOD simulation by CMIP5 models, considering satellite-derived AOD as a benchmark. Six years of AOD data (2000–2005) from MISR and MODIS are processed to create quality-assured gridded AOD maps over India, which are compared with corresponding maps of 17 CMIP5 models at the same grid resolution. Intercomparison of model and satellite data shows that model-AOD is better correlated with MISR-derived AOD than MODIS. The correlation between model-AOD andmore » MISR-AOD is used to segregate the models into three categories identifying their performance in simulating the AOD over India. Maps of correlation between model-AOD and MISR-/MODIS-AOD are generated to provide quantitative information about the intercomparison. The two sets of data are examined for different seasons and years to examine the seasonal and interannual variation in the correlation coefficients. In conclusion, latitudinal and longitudinal variations in AOD as simulated by models are also examined and compared with corresponding variations observed by satellites.« less

  7. Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India

    DOE PAGES

    Misra, Amit; Kanawade, Vijay P.; Tripathi, Sachchida Nand

    2016-08-03

    Aerosol optical depth (AOD) values from 17 CMIP5 models are compared with Moderate Resolution Imaging Spectroradiometer (MODIS) and Multiangle Imaging Spectroradiometer (MISR) derived AODs over India. The objective is to identify the cases of successful AOD simulation by CMIP5 models, considering satellite-derived AOD as a benchmark. Six years of AOD data (2000–2005) from MISR and MODIS are processed to create quality-assured gridded AOD maps over India, which are compared with corresponding maps of 17 CMIP5 models at the same grid resolution. Intercomparison of model and satellite data shows that model-AOD is better correlated with MISR-derived AOD than MODIS. The correlation between model-AOD andmore » MISR-AOD is used to segregate the models into three categories identifying their performance in simulating the AOD over India. Maps of correlation between model-AOD and MISR-/MODIS-AOD are generated to provide quantitative information about the intercomparison. The two sets of data are examined for different seasons and years to examine the seasonal and interannual variation in the correlation coefficients. In conclusion, latitudinal and longitudinal variations in AOD as simulated by models are also examined and compared with corresponding variations observed by satellites.« less

  8. MISR Level 3 Cloud Motion Vector

    Atmospheric Science Data Center

    2013-07-10

    ... 2012 A new version, F02_0002, of the MISR L3 CMV (Cloud Motion Vector) data product is now available. This new release ... CMV products for the full mission time period of March 2000 - September 2012 are now available for ordering.   Information ...

  9. MISR - Science Data Validation Plan

    NASA Technical Reports Server (NTRS)

    Conel, J.; Ledeboer, W.; Ackerman, T.; Marchand, R.; Clothiaux, E.

    2000-01-01

    This Science Data Validation Plan describes the plans for validating a subset of the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 algorithms and data products and supplying top-of-atmosphere (TOA) radiances to the In-flight Radiometric Calibration and Characterization (IFRCC) subsystem for vicarious calibration.

  10. MISR Regional GoMACCS Imagery Overview

    Atmospheric Science Data Center

    2016-08-24

    ... View Data  |  Download Data About this Web Site: Visualizations of select MISR Level 3 data for special regional ... version used in support of the GoMACCS Campaign. More information about the Level 1 and Level 2 products subsetted for the GoMACCS ...

  11. Tropical Atlantic Dust and Smoke Aerosol Variations Related to the Madden-Julian Oscillation in MODIS and MISR Observations

    NASA Technical Reports Server (NTRS)

    Guo, Yanjuan; Tian, Baijun; Kahn, Ralph A.; Kalashnikova, Olga; Wong, Sun; Waliser, Duane E.

    2013-01-01

    In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) fine mode fraction and Multi-angle Imaging SpectroRadiometer (MISR) nonspherical fraction data are used to derive dust and smoke aerosol optical thickness (T(sub dust) and T(sub smoke)) over the tropical Atlantic in a complementary way: due to its wider swath, MODIS has 3-4 times greater sampling than MISR, but MISR dust discrimination is based on particle shape retrievals, whereas an empirical scheme is used for MODIS. MODIS and MISR show very similar dust and smoke winter climatologies. T(sub dust) is the dominant aerosol component over the tropical Atlantic, accounting for 40-70 percent of the total aerosol optical thickness (AOT), whereas T(sub smoke) is significantly smaller than T(sub dust). The consistency and high correlation between these climatologies and their daily variations lends confidence to their use for investigating the relative dust and smoke contributions to the total AOT variation associated with the Madden-Julian Oscillation (MJO). The temporal evolution and spatial patterns of the tdus anomalies associated with the MJO are consistent between MODIS and MISR: the magnitude of MJO-realted T(sub dust) anomalies is comparable to or even larger than that of the total T, while the T(sub smoke) anomaly represents about 15 percent compared to the total, which is quite different from their relative magnitudes to the total T on the climatological time scale. This suggests that dust and smoke are not influenced by the MJO in the same way. Based on correlation analysis, dust is strongly influenced by the MJO-modulated trade wind and precipitation anomalies, and can last as long as one MJO phase, whereas smoke is less affected.

  12. MISR Level 1A CCD, 1B1, 1B2, and Browse Products

    Atmospheric Science Data Center

    2013-04-01

    ... ESDT Product File Name Prefix Current Quality Designations MI1B2E MISR_AM1_GRP_ELLIPSOID_GM, ... should be used. All calibration files for the life of the mission have been reprocessed using the best available calibration. ...

  13. Mystery #21 Answer

    Atmospheric Science Data Center

    2013-04-22

    article title:  MISR Mystery Image Quiz #21: Actinoform Clouds ... This mystery concerns a particular type of cloud, one example of which was imaged by the Multi-angle Imaging SpectroRadiometer (MISR) ... ) These clouds are commonly tracked using propeller-driven research aircraft. Answer: C is True. The weather satellite, TIROS ...

  14. What is the spatial sampling of MISR?

    Atmospheric Science Data Center

    2014-12-08

    ... spatial resolution of the sensors without exceeding the data transfer quotas, MISR can be operated in two different data acquisition modes: ... data at the full resolution, but only for limited periods of time and therefore for limited regions, typically about 300 km in length (along ...

  15. What is a MISR block?

    Atmospheric Science Data Center

    2016-02-21

    The generic data file for MISR is a swath, i.e., a set of measurements for the entire area observed during the day part of the orbit. This is a very large amount of data. To simplify the storing and processing of these data, swathes are broken...

  16. Stereoscopic, thermal, and true deep cumulus cloud top heights

    NASA Astrophysics Data System (ADS)

    Llewellyn-Jones, D. T.; Corlett, G. K.; Lawrence, S. P.; Remedios, J. J.; Sherwood, S. C.; Chae, J.; Minnis, P.; McGill, M.

    2004-05-01

    We compare cloud-top height estimates from several sensors: thermal tops from GOES-8 and MODIS, stereoscopic tops from MISR, and directly measured heights from the Goddard Cloud Physics Lidar on board the ER-2, all collected during the CRYSTAL-FACE field campaign. Comparisons reveal a persistent 1-2 km underestimation of cloud-top heights by thermal imagery, even when the finite optical extinctions near cloud top and in thin overlying cirrus are taken into account. The most severe underestimates occur for the tallest clouds. The MISR "best-sinds" and lidar estimates disagree in very similar ways with thermally estimated tops, which we take as evidence of excellent performance by MISR. Encouraged by this, we use MISR to examine variations in cloud penetration and thermal top height errors in several locations of tropical deep convection over multiple seasons. The goals of this are, first, to learn how cloud penetration depends on the near-tropopause environment; and second, to gain further insight into the mysterious underestimation of tops by thermal imagery.

  17. An exceptionally elevated PBL as well as free troposphere aerosol observations during August 2015 summer heat-wave over Racibórz, Poland

    NASA Astrophysics Data System (ADS)

    Szkop, Artur; Pietruczuk, Aleksander

    2016-10-01

    A Lufft's CHM 15k "Nimbus" ceilometer and a collocated Cimel Sunphotometer were used to observe planetary boundary layer (PBL) evolution and free tropospheric aerosol layers during a heat-wave that occurred over Central Europe in August 2015. Both instruments were operated in Racibórz, Poland by the Institute of Geophysics PAS since May 2015. The analysis of the data suggests that the PBL top has been elevated to approximately 3000m, a height rarely observed over Poland. Moreover, in the period between 4th and 16th August an unusually high number of aerosol layers were visible in the signals. An analysis based on a backward air mass trajectory (HySplit) and thermal hot-spot (MODVOLC) models combined with a specialized "MISR INteractive eXplorer" (MINX) software provide evidence that at least some of the aerosol was of biomass burning type originating from a strong episode of wildfires in Ukraine.

  18. Where can I find spectral response information for the MISR bands?

    Atmospheric Science Data Center

    2014-12-08

    ... green, red, and near-infrared, respectively. Variations in spectral response from one camera to another, for the same band, are minor and ... response information for both the in-band region of each filter as well as for the total band. MISR: General Questions ...

  19. Where on Earth...? MISR Mystery Image Quiz #8:Yarlung Tsangpo River, China

    NASA Image and Video Library

    2002-05-15

    The mighty river featured in this image is called the Yarlung Tsangpo in China, and is then known as the Dikrong during its passage through India state of Arunachal Pradesh. This image from NASA Terra satellite is MISR Mystery Image Quiz #8.

  20. Mystery #21

    Atmospheric Science Data Center

    2013-04-22

    article title:  MISR Mystery Image Quiz #21   ... This mystery concerns a particular type of cloud, one example of which was imaged by the Multi-angle Imaging SpectroRadiometer (MISR) ... ) These clouds are commonly tracked using propeller-driven research aircraft. 3.   Two of these statements are false. Which one is ...

  1. Where on Earth...? MISR Mystery Image Quiz #10:Pulau Kimaam, West Papua

    NASA Image and Video Library

    2002-09-04

    Pulau Kimaam, Pulau Dolok, Pulau Yos Sudarso, and Frederik Hendrik Island are all names used to refer to this island, which is part of the Indonesian province of West Papua. This image from NASA Terra satellite is MISR Mystery Image Quiz #10.

  2. Hawaii

    Atmospheric Science Data Center

    2014-05-15

    article title:  Big Island, Hawaii     View Larger ... Multi-angle Imaging SpectroRadiometer (MISR) images of the Big Island of Hawaii, April - June 2000. The images have been rotated so that ... NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science ...

  3. Low Clouds

    Atmospheric Science Data Center

    2013-04-19

    article title:  Indian Ocean Clouds     View Larger ... Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's polar-orbiting Terra spacecraft. The area covered by the image is 247.5 ... during the last decade. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  4. MISR Global Images See the Light of Day

    NASA Technical Reports Server (NTRS)

    2002-01-01

    As of July 31, 2002, global multi-angle, multi-spectral radiance products are available from the MISR instrument aboard the Terra satellite. Measuring the radiative properties of different types of surfaces, clouds and atmospheric particulates is an important step toward understanding the Earth's climate system. These images are among the first planet-wide summary views to be publicly released from the Multi-angle Imaging SpectroRadiometer experiment. Data for these images were collected during the month of March 2002, and each pixel represents monthly-averaged daylight radiances from an area measuring 1/2 degree in latitude by 1/2 degree in longitude.

    The top panel is from MISR's nadir (vertical-viewing) camera and combines data from the red, green and blue spectral bands to create a natural color image. The central view combines near-infrared, red, and green spectral data to create a false-color rendition that enhances highly vegetated terrain. It takes 9 days for MISR to view the entire globe, and only areas within 8 degrees of latitude of the north and south poles are not observed due to the Terra orbit inclination. Because a single pole-to-pole swath of MISR data is just 400 kilometers wide, multiple swaths must be mosaiced to create these global views. Discontinuities appear in some cloud patterns as a consequence of changes in cloud cover from one day to another.

    The lower panel is a composite in which red, green, and blue radiances from MISR's 70-degree forward-viewing camera are displayed in the northern hemisphere, and radiances from the 70-degree backward-viewing camera are displayed in the southern hemisphere. At the March equinox (spring in the northern hemisphere, autumn in the southern hemisphere), the Sun is near the equator. Therefore, both oblique angles are observing the Earth in 'forward scattering', particularly at high latitudes. Forward scattering occurs when you (or MISR) observe an object with the Sun at a point in the sky that is in front of you. Relative to the nadir view, this geometry accentuates the appearance of polar clouds, and can even reveal clouds that are invisible in the nadir direction. In relatively clear ocean areas, the oblique-angle composite is generally brighter than its nadir counterpart due to enhanced reflection of light by atmospheric particulates.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  5. Calibration Plans for the Multi-angle Imaging SpectroRadiometer (MISR)

    NASA Astrophysics Data System (ADS)

    Bruegge, C. J.; Duval, V. G.; Chrien, N. L.; Diner, D. J.

    1993-01-01

    The EOS Multi-angle Imaging SpectroRadiometer (MISR) will study the ecology and climate of the Earth through acquisition of global multi-angle imagery. The MISR employs nine discrete cameras, each a push-broom imager. Of these, four point forward, four point aft and one views the nadir. Absolute radiometric calibration will be obtained pre-flight using high quantum efficiency (HQE) detectors and an integrating sphere source. After launch, instrument calibration will be provided using HQE detectors in conjunction with deployable diffuse calibration panels. The panels will be deployed at time intervals of one month and used to direct sunlight into the cameras, filling their fields-of-view and providing through-the-optics calibration. Additional techniques will be utilized to reduce systematic errors, and provide continuity as the methodology changes with time. For example, radiation-resistant photodiodes will also be used to monitor panel radiant exitance. These data will be acquired throughout the five-year mission, to maintain calibration in the latter years when it is expected that the HQE diodes will have degraded. During the mission, it is planned that the MISR will conduct semi-annual ground calibration campaigns, utilizing field measurements and higher resolution sensors (aboard aircraft or in-orbit platforms) to provide a check of the on-board hardware. These ground calibration campaigns are limited in number, but are believed to be the key to the long-term maintenance of MISR radiometric calibration.

  6. MISR Global Aerosol Product Assessment by Comparison with AERONET

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.; Gaitley, Barbara J.; Garay, Michael J.; Diner, David J.; Eck, Thomas F.; Smirnov, Alexander; Holben, Brent N.

    2010-01-01

    A statistical approach is used to assess the quality of the MISR Version 22 (V22) aerosol products. Aerosol Optical Depth (AOD) retrieval results are improved relative to the early post- launch values reported by Kahn et al. [2005a], varying with particle type category. Overall, about 70% to 75% of MISR AOD retrievals fall within 0.05 or 20% AOD of the paired validation data, and about 50% to 55% are within 0.03 or 10% AOD, except at sites where dust, or mixed dust and smoke, are commonly found. Retrieved particle microphysical properties amount to categorical values, such as three groupings in size: "small," "medium," and "large." For particle size, ground-based AERONET sun photometer Angstrom Exponents are used to assess statistically the corresponding MISR values, which are interpreted in terms of retrieved size categories. Coincident Single-Scattering Albedo (SSA) and fraction AOD spherical data are too limited for statistical validation. V22 distinguishes two or three size bins, depending on aerosol type, and about two bins in SSA (absorbing vs. non-absorbing), as well as spherical vs. non-spherical particles, under good retrieval conditions. Particle type sensitivity varies considerably with conditions, and is diminished for mid-visible AOD below about 0.15 or 0.2. Based on these results, specific algorithm upgrades are proposed, and are being investigated by the MISR team for possible implementation in future versions of the product.

  7. Multi-Angle View of the Canary Islands

    NASA Technical Reports Server (NTRS)

    2000-01-01

    A multi-angle view of the Canary Islands in a dust storm, 29 February 2000. At left is a true-color image taken by the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite. This image was captured by the MISR camera looking at a 70.5-degree angle to the surface, ahead of the spacecraft. The middle image was taken by the MISR downward-looking (nadir) camera, and the right image is from the aftward 70.5-degree camera. The images are reproduced using the same radiometric scale, so variations in brightness, color, and contrast represent true variations in surface and atmospheric reflectance with angle. Windblown dust from the Sahara Desert is apparent in all three images, and is much brighter in the oblique views. This illustrates how MISR's oblique imaging capability makes the instrument a sensitive detector of dust and other particles in the atmosphere. Data for all channels are presented in a Space Oblique Mercator map projection to facilitate their co-registration. The images are about 400 km (250 miles)wide, with a spatial resolution of about 1.1 kilometers (1,200 yards). North is toward the top. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  8. Multi-angle Imaging SpectroRadiometer

    NASA Technical Reports Server (NTRS)

    Diner, David J. (Principal Investigator)

    MISR views the sunlit Earth simultaneously at nine widely spaced angles and provides ongoing global coverage with high spatial detail. Its imagery is carefully calibrated to provide accurate measures of the brightness, contrast, and color of reflected sunlight. MISR provides new types of information for scientists studying Earth's climate, such as the regional and global distribution of different types of atmospheric particles and aerosols. The change in reflection at different view angles provides the means to distinguish aerosol types, cloud forms, and land surface cover. Combined with stereoscopic techniques, this enables construction of 3-D cloud models and estimation of the total amount of sunlight reflected by Earth's diverse environments. MISR was built for NASA by the Jet Propulsion Laboratory (JPL) in Pasadena, California. It is part of NASA's first Earth Observing System (EOS) spacecraft, the Terra spacecraft, which was launched into polar orbit from Vandenberg Air Force Base on December 18, 1999. MISR has been continuously providing data since February 24, 2000. [Mission Objectives] The MISR instrument acquires systematic multi-angle measurements for global monitoring of top-of-atmosphere and surface albedos and for measuring the shortwave radiative properties of aerosols, clouds, and surface scenes in order to characterize their impact on the Earth's climate. The Earth's climate is constantly changing -- as a consequence of both natural processes and human activities. Scientists care a great deal about even small changes in Earth's climate, since they can affect our comfort and well-being, and possibly our survival. A few years of below-average rainfall, an unusually cold winter, or a change in emissions from a coal-burning power plant, can influence the quality of life of people, plants, and animals in the region involved. The goal of NASA's Earth Observing System (EOS) is to increase our understanding of the climate changes that are occurring on our planet, and the reasons for these changes, so we are better equipped to anticipate and prepare for the future. The MISR instrument is a part of EOS. Its role is to measure the amount of sunlight scattered in different directions under natural conditions. These measurements will help quantify the amount of solar energy that heats the Earth's surface and atmosphere, and the changes that occur in them over the lifetime of the MISR instrument. From the MISR observations, we are also learning more about those components of the Earth's environment that scatter sunlight: particles in the atmosphere, the planet's surface, and clouds. MISR monitors changes in surface reflection properties, in atmospheric aerosol content and composition, and in cloudiness. Scientists use these data to study land use changes, air pollution, volcanic eruptions, as well as processes such as desertification, deforestation, and soil erosion. As part of the EOS program, computer models that predict future climate will be improved by the results of these studies. [Temporal_Coverage: Start_Date=2000-02-24; Stop_Date=] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180].

  9. A Spectralon BRF Data Base for MISR Calibration Application

    NASA Technical Reports Server (NTRS)

    Bruegge, C.; Chrien, N.; Haner, D.

    1999-01-01

    The Multi-angle Imaging SpectroRadiometer (MISR) is an Earth observing sensor which will provide global retrievals of aerosols, clouds, and land surface parameters. Instrument specifications require high accuracy absolute calibration, as well as accurate camera-to-camera, band-to-band and pixel-to-pixel relative response determinations.

  10. Closed Large Cell Clouds

    Atmospheric Science Data Center

    2013-04-19

    article title:  Closed Large Cell Clouds in the South Pacific ... the Multi-angle Imaging SpectroRadiometer (MISR) provide an example of very large scale closed cells, and can be contrasted with the  ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  11. Mystery #24

    Atmospheric Science Data Center

    2016-12-22

    article title:  MISR Mystery Image Quiz #24   ... formed by the large sediment-laden river in the image is an example of a well preserved wetland ecosystem, and is used as a "transfer ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  12. Oregon Fires

    Atmospheric Science Data Center

    2014-05-15

    ... were aided by earlier dry conditions and fed by heavy fuel loads, regeneration timbers, and large tracts of beetle-killed dead woods. ... path 44. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ... MISR Team. Text acknowledgment: Clare Averill (Raytheon/Jet Propulsion Laboratory). Animation acknowledgment: Michael Garay (UCLA/Jet ...

  13. NASA's Terra Spacecraft Measures Height of California Rim Fire Smoke Plumes

    Atmospheric Science Data Center

    2014-05-15

    ... This MISR image, acquired Aug. 23, 2013, shows a 121-by-165-mile (194-by-266 kilometer) portion of the scene, where the smoke is the ... effects of wind, but have an uncertainty of less than 0.6 mile (1 kilometer). MISR was built and is managed by NASA's Jet Propulsion ...

  14. Mystery #14 Answer

    Atmospheric Science Data Center

    2017-03-16

    article title:  MISR Mystery Image Quiz #14: Anatahan Island ... to find another satellite image of Anatahan on May 14th. For example, the view of Anatahan from   the  Aqua satellite  shows that on ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  15. In the L1B2 products, why are the block dimensions different for some cameras and bands?

    Atmospheric Science Data Center

    2014-12-08

    Most of the time that MISR is acquiring Earth imagery it operates in a configuration called Global Mode, which allows the spatial resolution to be set for each individual channel (there are 36 channels on MISR: 4 bands at each of 9...

  16. Introducing MISR Version 23: Resolution and Content Improvements to MISR Aerosol and Land Surface Product

    NASA Astrophysics Data System (ADS)

    Garay, M. J.; Bull, M. A.; Witek, M. L.; Diner, D. J.; Seidel, F.

    2017-12-01

    Since early 2000, the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite has been providing operational Level 2 (swath-based) aerosol optical depth (AOD) and particle property retrievals at 17.6 km spatial resolution and atmospherically corrected land surface products at 1.1 km resolution. A major, multi-year development effort has led to the release of updated operational MISR Level 2 aerosol and land surface retrieval products. The spatial resolution of the aerosol product has been increased to 4.4 km, allowing more detailed characterization of aerosol spatial variability, especially near local sources and in urban areas. The product content has been simplified and updated to include more robust measures of retrieval uncertainty and other fields to benefit users. The land surface product has also been updated to incorporate the Version 23 aerosol product as input and to improve spatial coverage, particularly over mountainous terrain and snow/ice-covered surfaces. We will describe the major upgrades incorporated in Version 23, present validation of the aerosol product, and describe some of the applications enabled by these product updates.

  17. Aerosol Optical Depths over Oceans: a View from MISR Retrievals and Collocated MAN and AERONET in Situ Observations

    NASA Technical Reports Server (NTRS)

    Witek, Marcin L.; Garay, Michael J.; Diner, David J.; Smirnov, Alexander

    2013-01-01

    In this study, aerosol optical depths over oceans are analyzed from satellite and surface perspectives. Multiangle Imaging SpectroRadiometer (MISR) aerosol retrievals are investigated and validated primarily against Maritime Aerosol Network (MAN) observations. Furthermore, AErosol RObotic NETwork (AERONET) data from 19 island and coastal sites is incorporated in this study. The 270 MISRMAN comparison points scattered across all oceans were identified. MISR on average overestimates aerosol optical depths (AODs) by 0.04 as compared to MAN; the correlation coefficient and root-mean-square error are 0.95 and 0.06, respectively. A new screening procedure based on retrieval region characterization is proposed, which is capable of substantially reducing MISR retrieval biases. Over 1000 additional MISRAERONET comparison points are added to the analysis to confirm the validity of the method. The bias reduction is effective within all AOD ranges. Setting a clear flag fraction threshold to 0.6 reduces the bias to below 0.02, which is close to a typical ground-based measurement uncertainty. Twelve years of MISR data are analyzed with the new screening procedure. The average over ocean AOD is reduced by 0.03, from 0.15 to 0.12. The largest AOD decrease is observed in high latitudes of both hemispheres, regions with climatologically high cloud cover. It is postulated that the screening procedure eliminates spurious retrieval errors associated with cloud contamination and cloud adjacency effects. The proposed filtering method can be used for validating aerosol and chemical transport models.

  18. A High-Resolution Aerosol Retrieval Method for Urban Areas Using MISR Data

    NASA Astrophysics Data System (ADS)

    Moon, T.; Wang, Y.; Liu, Y.; Yu, B.

    2012-12-01

    Satellite-retrieved Aerosol Optical Depth (AOD) can provide a cost-effective way to monitor particulate air pollution without using expensive ground measurement sensors. One of the current state-of-the-art AOD retrieval method is NASA's Multi-angle Imaging SpectroRadiometer (MISR) operational algorithm, which has the spatial resolution of 17.6 km x 17.6 km. While the MISR baseline scheme already leads to exciting research opportunities to study particle compositions at regional scale, its spatial resolution is too coarse for analyzing urban areas where the AOD level has stronger spatial variations. We develop a novel high-resolution AOD retrieval algorithm that still uses MISR's radiance observations but has the resolution of 4.4km x 4.4km. We achieve the high resolution AOD retrieval by implementing a hierarchical Bayesian model and Monte-Carlo Markov Chain (MCMC) inference method. Our algorithm not only improves the spatial resolution, but also extends the coverage of AOD retrieval and provides with additional composition information of aerosol components that contribute to the AOD. We validate our method using the recent NASA's DISCOVER-AQ mission data, which contains the ground measured AOD values for Washington DC and Baltimore area. The validation result shows that, compared to the operational MISR retrievals, our scheme has 41.1% more AOD retrieval coverage for the DISCOVER-AQ data points and 24.2% improvement in mean-squared error (MSE) with respect to the AERONET ground measurements.

  19. Use of MISR measurements to study the radiative transfer of an isolated convective cloud: Implications for cloud optical thickness retrieval

    NASA Astrophysics Data System (ADS)

    Cornet, C.; Davies, R.

    2008-02-01

    Radiative transfer simulations of an isolated deep convective cloud reconstructed with stereo-techniques from the Multiangle Imaging Spectroradiometer (MISR) are compared with the reflectances measured at the nine MISR viewing angles. The simulations were done using a three dimensional Monte Carlo model, in which ocean reflectance, aerosol and Rayleigh scattering were prescribed to match the surrounding clear-sky MISR measurements. Making reasonable assumptions regarding the vertical and horizontal distribution of the volume extinction coefficient, we were able to reproduce the MISR measurements with the 3D radiative calculations. While the uniqueness of the these distributions cannot be proven, they all lead to retrievals of much larger cloud optical thickness and cloud water content than for a 1D retrieval. Averaged over the cloud, the difference was a factor of about 3, rising to 9 locally. This is a consequence of horizontal photon transport that serves to highlight the inadequacy of 1D retrievals for the case of deep convective cloud. Concerning the internal cloud properties, we noticed the angular distribution of modeled radiances did not match the measured radiances when an ice crystal phase function was applied. Better estimates of the optical depths and water contents of deep convective clouds appear to be obtainable by integrating an estimate of the extinction coefficient over the vertical cloud extent (when this can assessed) than by attempting to invert the radiance measured from a single-angle view using 1D theory.

  20. Comparison of Coincident Multiangle Imaging Spectroradiometer and Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depths over Land and Ocean Scenes Containing Aerosol Robotic Network Sites

    NASA Technical Reports Server (NTRS)

    Abdou, Wedad A.; Diner, David J.; Martonchik, John V.; Bruegge, Carol J.; Kahn, Ralph A.; Gaitley, Barbara J.; Crean, Kathleen A.; Remer, Lorraine A.; Holben, Brent

    2005-01-01

    The Multiangle Imaging Spectroradiometer (MISR) and the Moderate Resolution Imaging Spectroradiometer (MODIS), launched on 18 December 1999 aboard the Terra spacecraft, are making global observations of top-of-atmosphere (TOA) radiances. Aerosol optical depths and particle properties are independently retrieved from these radiances using methodologies and algorithms that make use of the instruments corresponding designs. This paper compares instantaneous optical depths retrieved from simultaneous and collocated radiances measured by the two instruments at locations containing sites within the Aerosol Robotic Network (AERONET). A set of 318 MISR and MODIS images, obtained during the months of March, June, and September 2002 at 62 AERONET sites, were used in this study. The results show that over land, MODIS aerosol optical depths at 470 and 660 nm are larger than those retrieved from MISR by about 35% and 10% on average, respectively, when all land surface types are included in the regression. The differences decrease when coastal and desert areas are excluded. For optical depths retrieved over ocean, MISR is on average about 0.1 and 0.05 higher than MODIS in the 470 and 660 nm bands, respectively. Part of this difference is due to radiometric calibration and is reduced to about 0.01 and 0.03 when recently derived band-to-band adjustments in the MISR radiometry are incorporated. Comparisons with AERONET data show similar patterns.

  1. Multiangle Imaging Spectroradiometer (MISR) Global Aerosol Optical Depth Validation Based on 2 Years of Coincident Aerosol Robotic Network (AERONET) Observations

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.; Gaitley, Barbara J.; Martonchik, John V.; Diner, David J.; Crean, Kathleen A.; Holben, Brent

    2005-01-01

    Performance of the Multiangle Imaging Spectroradiometer (MISR) early postlaunch aerosol optical thickness (AOT) retrieval algorithm is assessed quantitatively over land and ocean by comparison with a 2-year measurement record of globally distributed AERONET Sun photometers. There are sufficient coincident observations to stratify the data set by season and expected aerosol type. In addition to reporting uncertainty envelopes, we identify trends and outliers, and investigate their likely causes, with the aim of refining algorithm performance. Overall, about 2/3 of the MISR-retrieved AOT values fall within [0.05 or 20% x AOT] of Aerosol Robotic Network (AERONET). More than a third are within [0.03 or 10% x AOT]. Correlation coefficients are highest for maritime stations (approx.0.9), and lowest for dusty sites (more than approx.0.7). Retrieved spectral slopes closely match Sun photometer values for Biomass burning and continental aerosol types. Detailed comparisons suggest that adding to the algorithm climatology more absorbing spherical particles, more realistic dust analogs, and a richer selection of multimodal aerosol mixtures would reduce the remaining discrepancies for MISR retrievals over land; in addition, refining instrument low-light-level calibration could reduce or eliminate a small but systematic offset in maritime AOT values. On the basis of cases for which current particle models are representative, a second-generation MISR aerosol retrieval algorithm incorporating these improvements could provide AOT accuracy unprecedented for a spaceborne technique.

  2. Determination of Ice Cloud Models Using MODIS and MISR Data

    NASA Technical Reports Server (NTRS)

    Xie, Yu; Yang, Ping; Kattawar, George W.; Minnis, Patrick; Hu, Yongxiang; Wu, Dong L.

    2012-01-01

    Representation of ice clouds in radiative transfer simulations is subject to uncertainties associated with the shapes and sizes of ice crystals within cirrus clouds. In this study, we examined several ice cloud models consisting of smooth, roughened, homogeneous and inhomogeneous hexagonal ice crystals with various aspect ratios. The sensitivity of the bulk scattering properties and solar reflectances of cirrus clouds to specific ice cloud models is investigated using the improved geometric optics method (IGOM) and the discrete ordinates radiative transfer (DISORT) model. The ice crystal habit fractions in the ice cloud model may significantly affect the simulations of cloud reflectances. A new algorithm was developed to help determine an appropriate ice cloud model for application to the satellite-based retrieval of ice cloud properties. The ice cloud particle size retrieved from Moderate Resolution Imaging Spectroradiometer (MODIS) data, collocated with Multi-angle Imaging Spectroradiometer (MISR) observations, is used to infer the optical thicknesses of ice clouds for nine MISR viewing angles. The relative differences between view-dependent cloud optical thickness and the averaged value over the nine MISR viewing angles can vary from -0.5 to 0.5 and are used to evaluate the ice cloud models. In the case for 2 July 2009, the ice cloud model with mixed ice crystal habits is the best fit to the observations (the root mean square (RMS) error of cloud optical thickness reaches 0.365). This ice cloud model also produces consistent cloud property retrievals for the nine MISR viewing configurations within the measurement uncertainties.

  3. Development and Applications of a New, High-Resolution, Operational MISR Aerosol Product

    NASA Astrophysics Data System (ADS)

    Garay, M. J.; Diner, D. J.; Kalashnikova, O.

    2014-12-01

    Since early 2000, the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite has been providing aerosol optical depth (AOD) and particle property retrievals at 17.6 km spatial resolution. Capitalizing on the capabilities provided by multi-angle viewing, the operational MISR algorithm performs well, with about 75% of MISR AOD retrievals falling within 0.05 or 20% × AOD of the paired validation data from the ground-based Aerosol Robotic Network (AERONET), and is able to distinguish aerosol particles by size and sphericity, over both land and water. These attributes enable a variety of applications, including aerosol transport model validation and global air quality assessment. Motivated by the adverse impacts of aerosols on human health at the local level, and taking advantage of computational speed advances that have occurred since the launch of Terra, we have implemented an operational MISR aerosol product with 4.4 km spatial resolution that maintains, and sometimes improves upon, the quality of the 17.6 km resolution product. We will describe the performance of this product relative to the heritage 17.6 km product, the global AERONET validation network, and high spatial density AERONET-DRAGON sites. Other changes that simplify product content, and make working with the data much easier for users, will also be discussed. Examples of how the new product demonstrates finer spatial variability of aerosol fields than previously retrieved, and ways this new dataset can be used for studies of local aerosol effects, will be shown.

  4. MISR Images Forest Fires and Hurricane

    NASA Technical Reports Server (NTRS)

    2000-01-01

    These images show forest fires raging in Montana and Hurricane Hector swirling in the Pacific. These two unrelated, large-scale examples of nature's fury were captured by the Multi-angle Imaging SpectroRadiometer(MISR) during a single orbit of NASA's Terra satellite on August 14, 2000.

    In the left image, huge smoke plumes rise from devastating wildfires in the Bitterroot Mountain Range near the Montana-Idaho border. Flathead Lake is near the upper left, and the Great Salt Lake is at the bottom right. Smoke accumulating in the canyons and plains is also visible. This image was generated from the MISR camera that looks forward at a steep angle (60 degrees); the instrument has nine different cameras viewing Earth at different angles. The smoke is far more visible when seen at this highly oblique angle than it would be in a conventional, straight-downward (nadir)view. The wide extent of the smoke is evident from comparison with the image on the right, a view of Hurricane Hector acquired from MISR's nadir-viewing camera. Both images show an area of approximately 400 kilometers (250 miles)in width and about 850 kilometers (530 miles) in length.

    When this image of Hector was taken, the eastern Pacific tropical cyclone was located approximately 1,100 kilometers (680 miles) west of the southern tip of Baja California, Mexico. The eye is faintly visible and measures 25 kilometers (16 miles) in diameter. The storm was beginning to weaken, and 24hours later the National Weather Service downgraded Hector from a hurricane to a tropical storm.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

    For more information: http://www-misr.jpl.nasa.gov

  5. MISR at 15: Multiple Perspectives on Our Changing Earth

    NASA Astrophysics Data System (ADS)

    Diner, D. J.; Ackerman, T. P.; Braverman, A. J.; Bruegge, C. J.; Chopping, M. J.; Clothiaux, E. E.; Davies, R.; Di Girolamo, L.; Garay, M. J.; Jovanovic, V. M.; Kahn, R. A.; Kalashnikova, O.; Knyazikhin, Y.; Liu, Y.; Marchand, R.; Martonchik, J. V.; Muller, J. P.; Nolin, A. W.; Pinty, B.; Verstraete, M. M.; Wu, D. L.

    2014-12-01

    Launched aboard NASA's Terra satellite in December 1999, the Multi-angle Imaging SpectroRadiometer (MISR) instrument has opened new vistas in remote sensing of our home planet. Its 9 pushbroom cameras provide as many view angles ranging from 70 degrees forward to 70 degrees backward along Terra's flight track, in four visible and near-infrared spectral bands. MISR's well-calibrated, accurately co-registered, and moderately high spatial resolution radiance images have been coupled with novel data processing algorithms to mine the information content of angular reflectance anisotropy and multi-camera stereophotogrammetry, enabling new perspectives on the 3-D structure and dynamics of Earth's atmosphere and surface in support of climate and environmental research. Beginning with "first light" in February 2000, the nearly 15-year (and counting) MISR observational record provides an unprecedented data set with applications to multiple disciplines, documenting regional, global, short-term, and long-term changes in aerosol optical depths, aerosol type, near-surface particulate pollution, spectral top-of-atmosphere and surface albedos, aerosol plume-top and cloud-top heights, height-resolved cloud fractions, atmospheric motion vectors, and the structure of vegetated and ice-covered terrains. Recent computational advances include aerosol retrievals at finer spatial resolution than previously possible, and production of near-real time tropospheric winds with a latency of less than 3 hours, making possible for the first time the assimilation of MISR data into weather forecast models. In addition, recent algorithmic and technological developments provide the means of using and acquiring multi-angular data in new ways, such as the application of optical tomography to map 3-D atmospheric structure; building smaller multi-angle instruments in the future; and extending the multi-angular imaging methodology to the ultraviolet, shortwave infrared, and polarimetric realms. Such advances promise further enhancements to the observational power of the remote sensing approaches that MISR has pioneered.

  6. Estimating PM2.5 speciation concentrations using prototype 4.4 km-resolution MISR aerosol properties over Southern California

    NASA Astrophysics Data System (ADS)

    Meng, Xia; Garay, Michael J.; Diner, David J.; Kalashnikova, Olga V.; Xu, Jin; Liu, Yang

    2018-05-01

    Research efforts to better characterize the differential toxicity of PM2.5 (particles with aerodynamic diameters less than or equal to 2.5 μm) speciation are often hindered by the sparse or non-existent coverage of ground monitors. The Multi-angle Imaging SpectroRadiometer (MISR) aboard NASA's Terra satellite is one of few satellite aerosol sensors providing information of aerosol shape, size and extinction globally for a long and continuous period that can be used to estimate PM2.5 speciation concentrations since year 2000. Currently, MISR only provides a 17.6 km product for its entire mission with global coverage every 9 days, a bit too coarse for air pollution health effects research and to capture local spatial variability of PM2.5 speciation. In this study, generalized additive models (GAMs) were developed using MISR prototype 4.4 km-resolution aerosol data with meteorological variables and geographical indicators, to predict ground-level concentrations of PM2.5 sulfate, nitrate, organic carbon (OC) and elemental carbon (EC) in Southern California between 2001 and 2015 at the daily level. The GAMs are able to explain 66%, 62%, 55% and 58% of the daily variability in PM2.5 sulfate, nitrate, OC and EC concentrations during the whole study period, respectively. Predicted concentrations capture large regional patterns as well as fine gradients of the four PM2.5 species in urban areas of Los Angeles and other counties, as well as in the Central Valley. This study is the first attempt to use MISR prototype 4.4 km-resolution AOD (aerosol optical depth) components data to predict PM2.5 sulfate, nitrate, OC and EC concentrations at the sub-regional scale. In spite of its low temporal sampling frequency, our analysis suggests that the MISR 4.4 km fractional AODs provide a promising way to capture the spatial hotspots and long-term temporal trends of PM2.5 speciation, understand the effectiveness of air quality controls, and allow our estimated PM2.5 speciation data to be linked with common spatial units such as census tract or zip code in epidemiological studies. This modeling strategy needs to be validated in other regions when more MISR 4.4 km data becoming available in the future.

  7. MISR Multi-angle Views of Sunday Morning Fires

    NASA Technical Reports Server (NTRS)

    2007-01-01

    Hot, dry Santa Ana winds began blowing through the Los Angeles and San Diego areas on Sunday October 21, 2007. Wind speeds ranging from 30 to 50 mph were measured in the area, with extremely low relative humidities. These winds, coupled with exceptionally dry conditions due to lack of rainfall resulted in a number of fires in the Los Angeles and San Diego areas, causing the evacuation of more than 250,000 people.

    These two images show the Southern California coast from Los Angeles to San Diego from two of the nine cameras on the Multi-angle Imaging SpectroRadiometer (MISR) instrument on the NASA EOS Terra satellite. These images were obtained around 11:35 a.m. PDT on Sunday morning, October 21, 2007 and show a number of plumes extending out over the Pacific ocean. In addition, locations identified as potential hot spots from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the same satellite are outlined in red.

    The left image is from MISR's nadir looking camera and the plumes appear very faint. The image on the right is from MISR's 60o forward looking camera, which accentuates the amount of light scattered by aerosols in the atmosphere, including smoke and dust. Both these images are false color and contain information from MISR's red, green, blue and near-infrared wavelengths, which makes vegetated land appear greener than it would naturally. Notice in the right hand image that the color of the plumes associated with the MODIS hot spots is bluish, while plumes not associated with hot spots appear more yellow. This is because the latter plumes are composed of dust kicked up by the strong Santa Ana winds. In some locations along Interstate 5 on this date, visibility was severely reduced due to blowing dust. MISR's multiangle and multispectral capability give it the ability to distinguish smoke from dust in this situation.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These images were generated from a portion of the imagery acquired during Terra orbit 41713, and use data from blocks 63 to 66 within World Reference System-2 path 40.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center. JPL is a division of the California Institute of Technology.

  8. Forest canopy height from Multiangle Imaging SpectroRadiometer (MISR) assessed with high resolution discrete return lidar

    Treesearch

    Mark Chopping; Anne Nolin; Gretchen G. Moisen; John V. Martonchik; Michael Bull

    2009-01-01

    In this study retrievals of forest canopy height were obtained through adjustment of a simple geometricoptical (GO) model against red band surface bidirectional reflectance estimates from NASA's Multiangle Imaging SpectroRadiometer (MISR), mapped to a 250 m grid. The soil-understory background contribution was partly isolated prior to inversion using regression...

  9. Severe Air Pollution in New Delhi

    Atmospheric Science Data Center

    2016-12-30

    ... depth is superimposed on the image. Optical depth is a quantitative measure of the abundance of aerosols (tiny particles in the ... Other MISR data are available through the NASA Langley Research Center; for more information, go to ... Maryland. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center, Hampton, Virginia. JPL is a ...

  10. Validation of multi-angle imaging spectroradiometer aerosol products in China

    Treesearch

    J. Liu; X. Xia; Z. Li; P. Wang; M. Min; WeiMin Hao; Y. Wang; J. Xin; X. Li; Y. Zheng; Z. Chen

    2010-01-01

    Based on AErosol RObotic NETwork and Chinese Sun Hazemeter Network data, the Multi-angle Imaging SpectroRadiometer (MISR) level 2 aerosol optical depth (AOD) products are evaluated in China. The MISR retrievals depict well the temporal aerosol trend in China with correlation coefficients exceeding 0.8 except for stations located in northeast China and at the...

  11. An empirical study on the utility of BRDF model parameters and topographic parameters for mapping vegetation in a semi-arid region with MISR imagery

    USDA-ARS?s Scientific Manuscript database

    Multi-angle remote sensing has been proved useful for mapping vegetation community types in desert regions. Based on Multi-angle Imaging Spectro-Radiometer (MISR) multi-angular images, this study compares roles played by Bidirectional Reflectance Distribution Function (BRDF) model parameters with th...

  12. Development of an Aerosol Opacity Retrieval Algorithm for Use with Multi-Angle Land Surface Images

    NASA Technical Reports Server (NTRS)

    Diner, D.; Paradise, S.; Martonchik, J.

    1994-01-01

    In 1998, the Multi-angle Imaging SpectroRadiometer (MISR) will fly aboard the EOS-AM1 spacecraft. MISR will enable unique methods for retrieving the properties of atmospheric aerosols, by providing global imagery of the Earth at nine viewing angles in four visible and near-IR spectral bands. As part of the MISR algorithm development, theoretical methods of analyzing multi-angle, multi-spectral data are being tested using images acquired by the airborne Advanced Solid-State Array Spectroradiometer (ASAS). In this paper we derive a method to be used over land surfaces for retrieving the change in opacity between spectral bands, which can then be used in conjunction with an aerosol model to derive a bound on absolute opacity.

  13. Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites

    NASA Astrophysics Data System (ADS)

    Pisek, Jan; Govind, Ajit; Arndt, Stefan K.; Hocking, Darren; Wardlaw, Timothy J.; Fang, Hongliang; Matteucci, Giorgio; Longdoz, Bernard

    2015-03-01

    Clumping index is the measure of foliage grouping relative to a random distribution of leaves in space. It is a key structural parameter of plant canopies that influences canopy radiation regimes and controls canopy photosynthesis and other land-atmosphere interactions. The Normalized Difference between Hotspot and Darkspot (NDHD) index has been previously used to retrieve global clumping index maps from POLarization and Directionality of the Earth's Reflectances (POLDER) data at ˜6 km resolution and the Bidirectional Reflectance Distribution Function (BRDF) product from Moderate Resolution Imaging Spectroradiometer (MODIS) at 500 m resolution. Most recently the algorithm was also applied with Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution over selected areas. In this study for the first time we characterized and compared the three products over a set of sites representing diverse biomes and different canopy structures. The products were also directly validated with both in-situ vertical profiles and available seasonal trajectories of clumping index over several sites. We demonstrated that the vertical distribution of foliage and especially the effect of understory need to be taken into account while validating foliage clumping products from remote sensing products with values measured in the field. Satellite measurements responded to the structural effects near the top of canopies, while ground measurements may be biased by the lower vegetation layers. Additionally, caution should be taken regarding the misclassification in land cover maps as their errors can propagate into the foliage clumping maps. Our results indicate that MODIS data and MISR data, with 275 m in particular, can provide good quality clumping index estimates at spatial scales pertinent for modeling local carbon and energy fluxes.

  14. Characterize Aerosols from MODIS/MISR/OMI/MERRA-2: Dynamic Image Browse Perspective

    NASA Astrophysics Data System (ADS)

    Wei, J. C.; Yang, W.; Shen, S.; Zhao, P.; Albayrak, A.; Johnson, J. E.; Kempler, S. J.; Pham, L.

    2016-12-01

    Among the known atmospheric constituents, aerosols still represent the greatest uncertainty in climate research. To understand the uncertainty is to bring altogether of observational (in-situ and remote sensing) and modeling datasets and inter-compare them synergistically for a wide variety of applications that can bring far-reaching benefits to the science community and the broader society. These benefits can best be achieved if these earth science data (satellite and modeling) are well utilized and interpreted. Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite-borne sensors routinely measure aerosols. There is often disagreement between similar aerosol parameters retrieved from different sensors, leaving users confused as to which sensors to trust for answering important science questions about the distribution, properties, and impacts of aerosols. NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) have developed multiple MAPSS (Multi-sensor Aerosol Products Sampling System) applications as a part of Giovanni (Geospatial Interactive Online Visualization and Analysis Interface) data visualization and analysis tool since 2007. The MAPSS database provides spatio-temporal statistics for multiple spatial spaceborne Level 2 aerosol products (MODIS Terra, MODIS Aqua, MISR, POLDER, OMI, CALIOP, SeaWiFS Deep Blue, and VIIRS) sampled over AERONET ground stations. In this presentation, I will demonstrate a new visualization service (NASA Level 2 Data Quality Visualization, DQViz) supporting various visualization and data accessing capabilities from satellite Level 2 (MODIS/MISR/OMI) and long term assimilated aerosols from NASA Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2 displaying at their own native physical-retrieved spatial resolution. Functionality will include selecting data sources (e.g., multiple parameters under the same measurement), defining area-of-interest and temporal extents, zooming, panning, overlaying, sliding, and data subsetting and reformatting.

  15. Forest Canopy Cover and Height from MISR in Topographically Complex Southwestern US Landscape Assessed with High Quality Reference Data

    NASA Technical Reports Server (NTRS)

    Chopping, Mark; North, Malcolm; Chen, Jiquan; Schaaf, Crystal B.; Blair, J. Bryan; Martonchik, John V.; Bull, Michael A.

    2012-01-01

    This study addresses the retrieval of spatially contiguous canopy cover and height estimates in southwestern USforests via inversion of a geometric-optical (GO) model against surface bidirectional reflectance factor (BRF) estimates from the Multi-angle Imaging SpectroRadiometer (MISR). Model inversion can provide such maps if good estimates of the background bidirectional reflectance distribution function (BRDF) are available. The study area is in the Sierra National Forest in the Sierra Nevada of California. Tree number density, mean crown radius, and fractional cover reference estimates were obtained via analysis of QuickBird 0.6 m spatial resolution panchromatic imagery usingthe CANopy Analysis with Panchromatic Imagery (CANAPI) algorithm, while RH50, RH75 and RH100 (50, 75, and 100 energy return) height data were obtained from the NASA Laser Vegetation Imaging Sensor (LVIS), a full waveform light detection and ranging (lidar) instrument. These canopy parameters were used to drive a modified version of the simple GO model (SGM), accurately reproducing patterns ofMISR 672 nm band surface reflectance (mean RMSE 0.011, mean R2 0.82, N 1048). Cover and height maps were obtained through model inversion against MISR 672 nm reflectance estimates on a 250 m grid.The free parameters were tree number density and mean crown radius. RMSE values with respect to reference data for the cover and height retrievals were 0.05 and 6.65 m, respectively, with of 0.54 and 0.49. MISR can thus provide maps of forest cover and height in areas of topographic variation although refinements are required to improve retrieval precision.

  16. New NASA Images of Irma's Towering Clouds (Anaglyph)

    NASA Image and Video Library

    2017-09-08

    On Sept. 7, the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite passed over Hurricane Irma at approximately 11:20 am local time. The MISR instrument comprises nine cameras that view the Earth at different angles, and since it takes roughly seven minutes for all nine cameras to capture the same location, the motion of the clouds between images allows scientists to calculate the wind speed at the cloud tops. This stereo anaglyph combines two of the MISR angles to show a three-dimensional view of Irma. You will need red-blue glasses to view the anaglyph; place the red lens over your left eye. At this time, Irma's eye was located approximately 60 miles (100 kilometers) north of the Dominican Republic and 140 miles (230 kilometers) north of its capital, Santo Domingo. Irma was a powerful Category 5 hurricane, with wind speeds at the ocean surface up to 185 miles (300 kilometers) per hour. The MISR data show that at cloud top, winds near the eye wall (the most destructive part of the storm) were approximately 90 miles per hour (145 kilometers per hour), and the maximum cloud-top wind speed throughout the storm calculated by MISR was 135 miles per hour (220 kilometers per hour). While the hurricane's dominant rotation direction is counter-clockwise, winds near the eye wall are consistently pointing outward from it. This is an indication of outflow, the process by which a hurricane draws in warm, moist air at the surface and ejects cool, dry air at its cloud tops. https://photojournal.jpl.nasa.gov/catalog/PIA21945

  17. Production of Arctic Sea-ice Albedo by fusion of MISR and MODIS data

    NASA Astrophysics Data System (ADS)

    Kharbouche, Said; Muller, Jan-Peter

    2017-04-01

    We have combined data from the NASA MISR and MODIS spectro-radiometers to create a cloud-free albedo dataset specifically for sea-ice. The MISR (Multi-Angular Spectro-Radiometer) instrument on board Terra satellite has a unique ability to create high-quality Bidirectional Reflectance (BRF) over a 7 minute time interval per single overpass, thanks to its 9 cameras of different view angles (±70°,±60°,±45°,±26°). However, as MISR is limited to narrow spectral bands (443nm, 555nm, 670nm, 865nm), which is not sufficient to mask cloud effectively and robustly, we have used the sea-ice mask MOD09 product (Collection 6) from MODIS (Moderate resolution Imaging Spectoradiometer) instrument, which is also on board Terra satellite and acquiring data simultaneously. Only We have created a new and consistent sea-ice (for Arctic) albedo product that is daily, from 1st March to 22nd September for each and every year between 2000 to 2016 at two spatial grids, 1km x 1km and 5km x 5km in polar stereographic projection. Their analysis is described in a separate report [1]. References [1] Muller & Kharbouche, Variation of Arctic's Sea-ice Albedo between 2000 and 2016 by fusion of MISR and MODIS data. This conference. Acknowledgements This work was supported by www.QA4ECV.eu, a project of European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 607405. We thank our colleagues at JPL and NASA LaRC for processing these data, especially Sebastian Val and Steve Protack.

  18. WindCam and MSPI: two cloud and aerosol instrument concepts derived from Terra/MISR heritage

    NASA Astrophysics Data System (ADS)

    Diner, David J.; Mischna, Michael; Chipman, Russell A.; Davis, Ab; Cairns, Brian; Davies, Roger; Kahn, Ralph A.; Muller, Jan-Peter; Torres, Omar

    2008-08-01

    The Multi-angle Imaging SpectroRadiometer (MISR) has been acquiring global cloud and aerosol data from polar orbit since February 2000. MISR acquires moderately high-resolution imagery at nine view angles from nadir to 70.5°, in four visible/near-infrared spectral bands. Stereoscopic parallax, time lapse among the nine views, and the variation of radiance with angle and wavelength enable retrieval of geometric cloud and aerosol plume heights, height-resolved cloud-tracked winds, and aerosol optical depth and particle property information. Two instrument concepts based upon MISR heritage are in development. The Cloud Motion Vector Camera, or WindCam, is a simplified version comprised of a lightweight, compact, wide-angle camera to acquire multiangle stereo imagery at a single visible wavelength. A constellation of three WindCam instruments in polar Earth orbit would obtain height-resolved cloud-motion winds with daily global coverage, making it a low-cost complement to a spaceborne lidar wind measurement system. The Multiangle SpectroPolarimetric Imager (MSPI) is aimed at aerosol and cloud microphysical properties, and is a candidate for the National Research Council Decadal Survey's Aerosol-Cloud-Ecosystem (ACE) mission. MSPI combines the capabilities of MISR with those of other aerosol sensors, extending the spectral coverage to the ultraviolet and shortwave infrared and incorporating high-accuracy polarimetric imaging. Based on requirements for the nonimaging Aerosol Polarimeter Sensor on NASA's Glory mission, a degree of linear polarization uncertainty of 0.5% is specified within a subset of the MSPI bands. We are developing a polarization imaging approach using photoelastic modulators (PEMs) to accomplish this objective.

  19. MISR Views a Fire-Scarred Landscape

    NASA Technical Reports Server (NTRS)

    2000-01-01

    This MISR image pair shows 'before and after' views of the area around the Hanford Nuclear Reservation near Richland, Washington. On June 27, 2000, a fire in the dry sagebrush was sparked by an automobile crash. The flames were fanned by hot summer winds. By the day after the accident, about 100,000 acres had burned, and the fire's spread forced the closure of highways and loss of homes.

    These images, from Terra orbits 2176 and 3341, were obtained by MISR's vertical-viewing (nadir) camera. Compare the area just above and to the right of the line of cumulus clouds in the May 15 image with the same area imaged on August 3. The darkened burn scar measures approximately 35 kilometers across. The Columbia River is seen wending its way around the area, and the Snake River branches off to the right.

    According to Idaho's National Interagency Fire Center, the US has been experiencing the worst fire season since 1996.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  20. Radiometric stability of the Multi-angle Imaging SpectroRadiometer (MISR) following 15 years on-orbit

    NASA Astrophysics Data System (ADS)

    Bruegge, Carol J.; Val, Sebastian; Diner, David J.; Jovanovic, Veljko; Gray, Ellyn; Di Girolamo, Larry; Zhao, Guangyu

    2014-09-01

    The Multi-angle Imaging SpectroRadiometer (MISR) has successfully operated on the EOS/ Terra spacecraft since 1999. It consists of nine cameras pointing from nadir to 70.5° view angle with four spectral channels per camera. Specifications call for a radiometric uncertainty of 3% absolute and 1% relative to the other cameras. To accomplish this, MISR utilizes an on-board calibrator (OBC) to measure camera response changes. Once every two months the two Spectralon panels are deployed to direct solar-light into the cameras. Six photodiode sets measure the illumination level that are compared to MISR raw digital numbers, thus determining the radiometric gain coefficients used in Level 1 data processing. Although panel stability is not required, there has been little detectable change in panel reflectance, attributed to careful preflight handling techniques. The cameras themselves have degraded in radiometric response by 10% since launch, but calibration updates using the detector-based scheme has compensated for these drifts and allowed the radiance products to meet accuracy requirements. Validation using Sahara desert observations show that there has been a drift of ~1% in the reported nadir-view radiance over a decade, common to all spectral bands.

  1. Space-based Observational Constraints for 1-D Plume Rise Models

    NASA Technical Reports Server (NTRS)

    Martin, Maria Val; Kahn, Ralph A.; Logan, Jennifer A.; Paguam, Ronan; Wooster, Martin; Ichoku, Charles

    2012-01-01

    We use a space-based plume height climatology derived from observations made by the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard the NASA Terra satellite to evaluate the ability of a plume-rise model currently embedded in several atmospheric chemical transport models (CTMs) to produce accurate smoke injection heights. We initialize the plume-rise model with assimilated meteorological fields from the NASA Goddard Earth Observing System and estimated fuel moisture content at the location and time of the MISR measurements. Fire properties that drive the plume-rise model are difficult to estimate and we test the model with four estimates for active fire area and four for total heat flux, obtained using empirical data and Moderate Resolution Imaging Spectroradiometer (MODIS) re radiative power (FRP) thermal anomalies available for each MISR plume. We show that the model is not able to reproduce the plume heights observed by MISR over the range of conditions studied (maximum r2 obtained in all configurations is 0.3). The model also fails to determine which plumes are in the free troposphere (according to MISR), key information needed for atmospheric models to simulate properly smoke dispersion. We conclude that embedding a plume-rise model using currently available re constraints in large-scale atmospheric studies remains a difficult proposition. However, we demonstrate the degree to which the fire dynamical heat flux (related to active fire area and sensible heat flux), and atmospheric stability structure influence plume rise, although other factors less well constrained (e.g., entrainment) may also be significant. Using atmospheric stability conditions, MODIS FRP, and MISR plume heights, we offer some constraints on the main physical factors that drive smoke plume rise. We find that smoke plumes reaching high altitudes are characterized by higher FRP and weaker atmospheric stability conditions than those at low altitude, which tend to remain confined below the BL, consistent with earlier results. We propose two simplified parameterizations for computing injection heights for fires in CTMs and discuss current challenges to representing plume injection heights in large scale atmospheric models.

  2. Smoke from California Sand and Soberanes Fires Observed by NASA MISR

    NASA Image and Video Library

    2016-07-26

    The Sand Fire in the Santa Clarita Valley area of Southern California erupted on Friday, July 22, 2016, and rapidly grew to more than 37,000 acres (58 square miles, or 150 square kilometers) over the weekend. As of Tuesday, July 26, hundreds of residents still remain under evacuation orders, and the fire claimed the life of a local resident. The fire is currently 25 percent contained. The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite passed over the region on July 23 around 11:50 a.m. PDT. At left is an image acquired by MISR's 60-degree forward-viewing camera. The oblique view angle makes the smoke more apparent than it would be in a more conventional vertical view. Smoke from the Sand Fire is visible on the right-hand side of the image, and a long streamer of smoke from the Soberanes Fire near Big Sur in Central California is visible over the ocean near the left-hand side of the image. Like the Sand Fire, the Soberanes Fire also broke out on July 22, and quickly grew to more than 19,000 acres (30 square miles, or 77 square kilometers), causing the evacuation of hundreds of people and closure of several state parks. The Soberanes Fire is currently only 10 percent contained. The swath width of the MISR image is 257 miles (414 kilometers). At right is a map of aerosol optical depth, a quantitative measure of the smoke abundance in the atmosphere, derived from the images acquired by MISR's nine differently angled cameras. The thick smoke from both fires is apparent. Individual squares making up this map measure 2.7 miles (4.4 kilometers) on a side. The product shown here is a prototype of a new version of the MISR aerosol product to be publicly released in the near future, and increases the spatial resolution of the aerosol information by a factor of 16 compared to the currently available product, making it possible to discern finer details in the distribution of the smoke. These data were captured during Terra orbit 88284. http://photojournal.jpl.nasa.gov/catalog/PIA20720

  3. Advances in Satellite Remote Sensing of Particulate Air Pollution: From MISR to MAIA

    NASA Astrophysics Data System (ADS)

    Diner, D. J.; Burke, K.; Xu, F.; Garay, M. J.; Kalashnikova, O. V.; Liu, Y.; Meng, X.; Wang, J.; Martin, R.; Ostro, B.

    2017-12-01

    Airborne particulate matter (PM) is a well-known cause of cardiovascular and respiratory disease. To estimate human exposure to PM pollution, satellite instruments such as the Terra Multi-angle Imaging SpectroRadiometer (MISR) and the Moderate resolution Imaging Spectroradiometer (MODIS) have been used in conjunction with surface monitors to map near-surface PM concentrations. The relative toxicity of different size and compositional mixtures of PM is not well understood. To address this, we are developing the Multi-Angle Imager for Aerosols (MAIA) investigation. The satellite instrument extends MISR's multiangular visible and near-infrared (VNIR) spectral coverage to 14 bands in the ultraviolet, VNIR, and shortwave IR; three of the bands are polarimetric to enhance sensitivity to aerosol size and composition. To constrain the retrievals, the observations will be combined with data from surface monitors and the WRF-Chem and GEOS-Chem chemical transport models. Existing surface PM speciation monitors will be supplemented by adding new stations to the Surface PARTiculate mAtter Network (SPARTAN). Unlike MISR, MAIA is a targeting instrument. Primary areas of interest include metropolitan areas in North and South America, Europe, the Middle East, Africa, India, and East Asia. PM retrieval algorithms are being developed using data from MISR and the high-altitude Airborne Multiangle SpectroPolarimetric Imager (AirMSPI). Epidemiologists on the MAIA science team will use the derived PM data products and birth, death, and hospital records to investigate adverse health impacts of different types of airborne particulates. MAIA's earliest possible launch date is mid-2020, making it possible for the data to be complemented by global observations from Terra as well as high temporal resolution atmospheric chemistry measurements from TEMPO (Tropospheric Emissions: Monitoring Pollution), GEMS (Geostationary Environment Monitoring Spectrometer), and Sentinel-4.

  4. Tinder Fire in Arizona Viewed by NASA's MISR

    NASA Image and Video Library

    2018-05-02

    On April 27, 2018, the Tinder Fire ignited in eastern Arizona near the Blue Ridge Reservoir, about 50 miles (80 kilometers) southeast of Flagstaff and 20 miles (32 kilometers) northeast of Payson. During the first 24 hours it remained relatively small at 500 acres (202 hectares), but on April 29, during red flag wind conditions, it exploded to 8,600 acres (3,480 hectares). Residents of rural communities in the area were forced to evacuate and an unknown number of structures were burned. As of April 30, the Tinder Fire had burned a total of 11,400 acres (4,613 hectares). On April 30 at 11:15 a.m. local time, the Multi-angle Imaging SpectroRadiometer (MISR) captured imagery of the Tinder Fire as it passed overhead on NASA's Terra satellite. The MISR instrument has nine cameras that view Earth at different angles. This image shows the view from MISR's nadir (downward-pointing) camera. The angular information from MISR's images is used to calculate the height of the smoke plume, results of which are superimposed on the right-hand image. This shows that the plume top near the active fire was at approximately 13,000 feet altitude (4,000 meters). In general, higher-altitude plumes transport smoke greater distances from the source, impacting communities downwind. A stereo anaglyph providing a three-dimensional view of the plume is also shown. Red-blue glasses with the red lens placed over your left eye are required to observe the 3D effect. These data were acquired during Terra orbit 97691. An annotated figure and anaglyph are available at https://photojournal.jpl.nasa.gov/catalog/PIA00698

  5. New approach to the retrieval of AOD and its uncertainty from MISR observations over dark water

    NASA Astrophysics Data System (ADS)

    Witek, Marcin L.; Garay, Michael J.; Diner, David J.; Bull, Michael A.; Seidel, Felix C.

    2018-01-01

    A new method for retrieving aerosol optical depth (AOD) and its uncertainty from Multi-angle Imaging SpectroRadiometer (MISR) observations over dark water is outlined. MISR's aerosol retrieval algorithm calculates cost functions between observed and pre-simulated radiances for a range of AODs (from 0.0 to 3.0) and a prescribed set of aerosol mixtures. The previous version 22 (V22) operational algorithm considered only the AOD that minimized the cost function for each aerosol mixture and then used a combination of these values to compute the final, best estimate AOD and associated uncertainty. The new approach considers the entire range of cost functions associated with each aerosol mixture. The uncertainty of the reported AOD depends on a combination of (a) the absolute values of the cost functions for each aerosol mixture, (b) the widths of the cost function distributions as a function of AOD, and (c) the spread of the cost function distributions among the ensemble of mixtures. A key benefit of the new approach is that, unlike the V22 algorithm, it does not rely on empirical thresholds imposed on the cost function to determine the success or failure of a particular mixture. Furthermore, a new aerosol retrieval confidence index (ARCI) is established that can be used to screen high-AOD retrieval blunders caused by cloud contamination or other factors. Requiring ARCI ≥ 0.15 as a condition for retrieval success is supported through statistical analysis and outperforms the thresholds used in the V22 algorithm. The described changes to the MISR dark water algorithm will become operational in the new MISR aerosol product (V23), planned for release in 2017.

  6. New Approach to the Retrieval of AOD and its Uncertainty from MISR Observations Over Dark Water

    NASA Astrophysics Data System (ADS)

    Witek, M. L.; Garay, M. J.; Diner, D. J.; Bull, M. A.; Seidel, F.

    2017-12-01

    A new method for retrieving aerosol optical depth (AOD) and its uncertainty from Multi-angle Imaging SpectroRadiometer (MISR) observations over dark water is outlined. MISR's aerosol retrieval algorithm calculates cost functions between observed and pre-simulated radiances for a range of AODs (from 0.0 to 3.0) and a prescribed set of aerosol mixtures. The previous Version 22 (V22) operational algorithm considered only the AOD that minimized the cost function for each aerosol mixture, then used a combination of these values to compute the final, "best estimate" AOD and associated uncertainty. The new approach considers the entire range of cost functions associated with each aerosol mixture. The uncertainty of the reported AOD depends on a combination of a) the absolute values of the cost functions for each aerosol mixture, b) the widths of the cost function distributions as a function of AOD, and c) the spread of the cost function distributions among the ensemble of mixtures. A key benefit of the new approach is that, unlike the V22 algorithm, it does not rely on arbitrary thresholds imposed on the cost function to determine the success or failure of a particular mixture. Furthermore, a new Aerosol Retrieval Confidence Index (ARCI) is established that can be used to screen high-AOD retrieval blunders caused by cloud contamination or other factors. Requiring ARCI≥0.15 as a condition for retrieval success is supported through statistical analysis and outperforms the thresholds used in the V22 algorithm. The described changes to the MISR dark water algorithm will become operational in the new MISR aerosol product (V23), planned for release in 2017.

  7. Burn Scar Near the Hanford Nuclear Reservation

    NASA Technical Reports Server (NTRS)

    2002-01-01

    This Multi-angle Imaging Spectroradiometer (MISR) image pair shows 'before and after' views of the area around the Hanford Nuclear Reservation near Richland, Washington. On June 27, 2000, a fire in the dry sagebrush was sparked by an automobile crash. The flames were fanned by hot summer winds. By the day after the accident, about 100,000 acres had burned, and the fire's spread forced the closure of highways and loss of homes. These images were obtained by MISR's vertical-viewing (nadir) camera. Compare the area just above and to the right of the line of cumulus clouds in the May 15 image with the same area imaged on August 3. The darkened burn scar measures approximately 35 kilometers across. The Columbia River is seen wending its way around Hanford. Image courtesy NASA/GSFC/JPL, MISR Science Team

  8. Sua Pan surface bidirectional reflectance: a validation experiment of the Multi-angle Imaging SpectroRadiometer (MISR) during SAFARI 2000

    NASA Technical Reports Server (NTRS)

    Abdou, Wedad A.; Pilorz, Stuart H.; Helmlinger, Mark C.; Diner, David J.; Conel, James E.; Martonchik, John V.; Gatebe, Charles K.; King, Michael D.; Hobbs, Peter V.

    2004-01-01

    The Southern Africa Regional Science Initiative (SAFARI 2000) dray deason campaign was carried out during August and September 2000 at the peak of biomass burning. The intensive ground-based and airborne measurements in this campaign provided a unique opportunity to validate space sensors, such as the Multi-angle Imaging SpectroRadiometer (MISR), onboard NASA's EOS Terra platform.

  9. America National Parks Viewed in 3D by NASA MISR Anaglyph 2

    NASA Image and Video Library

    2016-08-25

    Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite is releasing four new anaglyphs that showcase 33 of our nation's national parks, monuments, historical sites and recreation areas in glorious 3D. Shown in the annotated image are Grand Teton National Park, John D. Rockefeller Memorial Parkway, Yellowstone National Park, and parts of Craters of the Moon National Monument. MISR views Earth with nine cameras pointed at different angles, giving it the unique capability to produce anaglyphs, stereoscopic images that allow the viewer to experience the landscape in three dimensions. The anaglyphs were made by combining data from MISR's vertical-viewing and 46-degree forward-pointing camera. You will need red-blue glasses in order to experience the 3D effect; ensure you place the red lens over your left eye. The images have been rotated so that north is to the left in order to enable 3D viewing because the Terra satellite flies from north to south. All of the images are 235 miles (378 kilometers) from west to east. These data were acquired June 25, 2016, Orbit 87876. http://photojournal.jpl.nasa.gov/catalog/PIA20890

  10. America National Parks Viewed in 3D by NASA MISR Anaglyph 4

    NASA Image and Video Library

    2016-08-25

    Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite is releasing four new anaglyphs that showcase 33 of our nation's national parks, monuments, historical sites and recreation areas in glorious 3D. Shown in the annotated image are Sequoia National Park, Kings Canyon National Park, Manzanar National Historic Site, Devils Postpile National Monument, Yosemite National Park, and parts of Death Valley National Park. MISR views Earth with nine cameras pointed at different angles, giving it the unique capability to produce anaglyphs, stereoscopic images that allow the viewer to experience the landscape in three dimensions. The anaglyphs were made by combining data from MISR's vertical-viewing and 46-degree forward-pointing camera. You will need red-blue glasses in order to experience the 3D effect; ensure you place the red lens over your left eye. The images have been rotated so that north is to the left in order to enable 3D viewing because the Terra satellite flies from north to south. All of the images are 235 miles (378 kilometers) from west to east. These data were acquired July 7, 2016, Orbit 88051. http://photojournal.jpl.nasa.gov/catalog/PIA20892

  11. Response to Toward Unified Satellite Climatology of Aerosol Properties. 3; MODIS versus MISR versus AERONET

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.; Garay, Michael J.; Nelson, David L.; Levy, Robert C.; Bull, Michael A.; Diner, David J.; Martonchik, John V.; Hansen, Earl G.; Remer, Lorraine A.; Tanre, Didler

    2010-01-01

    A recent paper by Mishchenko et al. compares near-coincident MISR, MODIS, and AERONET aerosol optical depth (AOD), and gives a much less favorable impression of the utility of the satellite products than that presented by the instrument teams and other groups. We trace the reasons for the differing pictures to whether known and previously documented limitations of the products are taken into account in the assessments. Specifically, the analysis approaches differ primarily in (1) the treatment of outliers, (2) the application of absolute vs. relative criteria for testing agreement, and (3) the ways in which seasonally varying spatial distributions of coincident retrievals are taken into account. Mishchenko et al. also do not distinguish between observational sampling differences and retrieval algorithm error. We assess the implications of the different analysis approaches, and cite examples demonstrating how the MISR and MODIS aerosol products have been applied successfully to a range of scientific investigations.

  12. Tomographic reconstruction of an aerosol plume using passive multiangle observations from the MISR satellite instrument

    NASA Astrophysics Data System (ADS)

    Garay, Michael J.; Davis, Anthony B.; Diner, David J.

    2016-12-01

    We present initial results using computed tomography to reconstruct the three-dimensional structure of an aerosol plume from passive observations made by the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite. MISR views the Earth from nine different angles at four visible and near-infrared wavelengths. Adopting the 672 nm channel, we treat each view as an independent measure of aerosol optical thickness along the line of sight at 1.1 km resolution. A smoke plume over dark water is selected as it provides a more tractable lower boundary condition for the retrieval. A tomographic algorithm is used to reconstruct the horizontal and vertical aerosol extinction field for one along-track slice from the path of all camera rays passing through a regular grid. The results compare well with ground-based lidar observations from a nearby Micropulse Lidar Network site.

  13. MISR Views New York and Southern New England

    NASA Technical Reports Server (NTRS)

    2000-01-01

    This MISR nadir-camera image includes New York City, site of the recently completed baseball playoff between the American League's Yankees and the National League's Mets. The Yankees defeated the Mets, 4 games to 1, in the first 'Subway Series' to be held since 1956. The image was acquired on October 20, 2000 (Terra orbit 4475), one day prior to the opening game of the Series.

    The Hudson River Valley and portions of southern New England, resplendent in fall colors, are visible in this image. Southwest of Albany are New York's Catskill Mountains, a popular wilderness and recreation area. The Catskills are part of the Appalachian chain.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  14. Tropical Storm Harvey Spotted by NASA's MISR

    NASA Image and Video Library

    2017-08-29

    On Aug. 27, 2017, the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite passed over then-Tropical Storm Harvey about noon local time, the day after the storm first made landfall in Texas as a Category 4 hurricane. The MISR instrument is equipped with nine cameras that observe Earth at different angles over a time period of seven minutes. Geometric information from the multiple camera views is used to compute the cloud top heights, and motion of the clouds during the image sequence is used to calculate wind speed. This composite image shows the storm as viewed by the central, downward-looking camera (left), as well as the cloud top heights in kilometers (center) and the wind speeds (right) superimposed on the image. The length of the arrows is proportional to the wind speed, while their color shows the altitude at which the winds were calculated. Also included is an animation made by combining all nine images from the MISR cameras, showing the motion of the storm during the seven-minute period. At this time, the center of the tropical storm was located just northwest of the city of Victoria and maximum wind speeds on the ground were around 40 miles per hour (65 kilometers per hour) according to the National Oceanic and Atmospheric Administration (NOAA), which matches well with the near-surface winds calculated by MISR to the west of Corpus Christi. In the 36 hours or so since it had made landfall, Harvey had weakened considerably -- these images show that the eye had disappeared and much of the circular motion of storm had dissipated, as shown by the calculated wind directions. However, the area of very high clouds and strong winds near Houston shows that the storm was continuing to produce powerful rain bands. At this point, hydrographs managed by NOAA in downtown Houston were already recording flood stage at both the Buffalo Bayou (28 feet or 8.5 meters as of 12:15 p.m. CDT August 27) and the White Oak Bayou (40 feet or 12 meters at last record that morning). The MISR data show the storm clouds reaching an altitude of about 10 miles (16 kilometers). These data were captured during Terra orbit 94108. An animation is available at https://photojournal.jpl.nasa.gov/catalog/PIA21927

  15. Deadly Fires Engulfing Madeira seen by NASA MISR

    NASA Image and Video Library

    2016-08-12

    A wildfire spread to the capital city of Funchal on the island of Madeira, an autonomous region of Portugal, over the nighttime hours of Tuesday, Aug. 9, 2016, with three deaths reported and hundreds of others hospitalized. Several homes and a luxury hotel have burned, and a thousand people have been evacuated. The three fatalities are reported to be elderly people who were unable to escape when their homes caught fire. The fire ignited Monday, Aug. 8, after several weeks of scorching temperatures topping 95 degrees Fahrenheit and very dry weather. The entire island is only 30 miles (48 kilometers) from end to end, which naturally makes protecting the island's 270,000 residents and many tourists more difficult. The MISR (Multi-angle Imaging SpectroRadiometer) instrument aboard NASA's Terra satellite passed directly over the island of Madeira on Wednesday, Aug. 10, 2016. The left image is a true-color image taken by MISR's 60-degree forward-pointing camera. This oblique view gives a better view of the smoke than a downward-pointing view. The island of Madeira is the only land within the field of view, and the smoke from the wildfire is being blown to the southwest. The city of Funchal is located on the southeastern coast of the island. MISR's nine cameras, each viewing Earth at a different angle, can be used to determine the height of clouds and smoke above the surface in much the same way that our two eyes, pointing in slightly different directions, give us depth perception. The right-hand image shows MISR's publically available standard cloud top height product. These data show that the main body of clouds is indeed very low, less than 0.6 miles (1 kilometer) above sea level, while the smoke plume is about 1.9 miles (3 kilometers) high at the source, dropping lower as it is blown to the southwest. A stereo "anaglyph" of this scene is also available at PIA20886. As can be seen from both the MISR height product and the 3D anaglyph, the isolated clouds to the south are much higher than either the low clouds or the plume. Interestingly, the low clouds drop to almost sea level and then die out near where the smoke is present. These data were acquired during Terra orbit 88524. http://photojournal.jpl.nasa.gov/catalog/PIA20887

  16. Ice Types in the Beaufort Sea, Alaska

    NASA Technical Reports Server (NTRS)

    2003-01-01

    Determining the amount and type of sea ice in the polar oceans is crucial to improving our knowledge and understanding of polar weather and long term climate fluctuations. These views from two satellite remote sensing instruments; the synthetic aperture radar (SAR) on board the RADARSAT satellite and the Multi-angle Imaging SpectroRadiometer (MISR), illustrate different methods that may be used to assess sea ice type. Sea ice in the Beaufort Sea off the north coast of Alaska was classified and mapped in these concurrent images acquired March 19, 2001 and mapped to the same geographic area.

    To identify sea ice types, the National Oceanic and Atmospheric Administration (NOAA) National Ice Center constructs ice charts using several data sources including RADARSAT SAR images such as the one shown at left. SAR classifies sea ice types primarily by how the surface and subsurface roughness influence radar backscatter. In the SAR image, white lines delineate different sea ice zones as identified by the National Ice Center. Regions of mostly multi-year ice (A) are separated from regions with large amounts of first year and younger ice (B-D), and the dashed white line at bottom marks the coastline. In general, sea ice types that exhibit increased radar backscatter appear bright in SAR and are identified as rougher, older ice types. Younger, smoother ice types appear dark to SAR. Near the top of the SAR image, however, red arrows point to bright areas in which large, crystalline 'frost flowers' have formed on young, thin ice, causing this young ice type to exhibit an increased radar backscatter. Frost flowers are strongly backscattering at radar wavelengths (cm) due to both surface roughness and the high salinity of frost flowers, which causes them to be highly reflective to radar energy.

    Surface roughness is also registered by MISR, although the roughness observed is at a different spatial scale. Older, rougher ice areas are predominantly backward scattering to the MISR cameras, whereas younger, smoother ice types are predominantly forward scattering. The MISR map at right was generated using a statistical classification routine (called ISODATA) and analyzed using ice charts from the National Ice Center. Five classes of sea ice were found based upon the classification of MISR angular data. These are described, based on interpretation of the SAR image, by the image key. Very smooth ice areas that are predominantly forward scattering are colored red. Frost flowers are largely smooth to the MISR visible band sensor and are mapped as forward scattering. Areas mapped as blue are predominantly backward scattering, and the other three classes have statistically distinct angular signatures and fall within the middle of the forward/backward scattering continuum. Some areas that may be first year or younger ice between the multi year ice floes are not discernible to SAR, illustrating how MISR potentially can make a unique contribution to sea ice mapping.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. This data product was generated from a portion of the imagery acquired during Terra orbit 6663. The MISR image has been cropped to include an area that is 200 kilometers wide, and utilizes data from blocks 30 to 33 within World Reference System-2 path 71.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory,Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  17. Waves on White: Ice or Clouds?

    NASA Technical Reports Server (NTRS)

    2005-01-01

    As it passed over Antarctica on December 16, 2004, the Multi-angle Imaging SpectroRadiometer (MISR) on NASA's Terra satellite captured this image showing a wavy pattern in a field of white. At most other latitudes, such wavy patterns would likely indicate stratus or stratocumulus clouds. MISR, however, saw something different. By using information from several of its multiple cameras (each of which views the Earth's surface from a different angle), MISR was able to tell that what looked like a wavy cloud pattern was actually a wavy pattern on the ice surface. One of MISR's cloud classification products, the Angular Signature Cloud Mask (ASCM), correctly identified the rippled area as being at the surface.

    In this image pair, the view from MISR's most oblique backward-viewing camera is on the left, and the color-coded image on the right shows the results of the ASCM. The colors represent the level of certainty in the classification. Areas that were classed as cloudy with high confidence are white, and areas where the confidence was lower are yellow; dark blue shows confidently clear areas, while light blue indicates clear with lower confidence. The ASCM works particularly well at detecting clouds over snow and ice, but also works well over ocean and land. The rippled area on the surface which could have been mistaken for clouds are actually sastrugi -- long wavelike ridges of snow formed by the wind and found on the polar plains. Usually sastrugi are only several centimeters high and several meters apart, but large portions of East Antarctica are covered by mega-sastrugi ice fields, with dune-like features as high as four meters separated by two to five kilometers. The mega-sastrugi fields are a result of unusual snow accumulation and redistribution processes influenced by the prevailing winds and climate conditions. MISR imagery indicates that these mega sastrugi were stationary features between 2002 and 2004.

    Being able to distinguish clouds from snow or ice-covered surfaces is important in order to adequately characterize the radiation balance of the polar regions. However, detecting clouds using spaceborne detectors over snow and ice surfaces is notoriously difficult, because the surface may often be as bright and as cold as the overlying clouds, and because polar atmospheric temperature inversions sometimes mean that clouds are warmer than the underlying snow or ice surface. The Angular Signature Cloud Mask (ASCM) was developed based on the Band-Differenced Angular Signature (BDAS) approach, introduced by Di Girolamo and Davies (1994) and updated for MISR application by Di Girolamo and Wilson (2003). BDAS uses both spectral and angular changes in reflectivity to distinguish clouds from the background, and the ASCM calculates the difference between the 446 and 866 nanometer reflectances at MISR's two most oblique cameras that view forward-scattered light. New land thresholds for the ASCM are planned for delivery later this year.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82o north and 82o south latitude. This image area covers about 277 kilometers by 421 kilometers in the interior of the East Antarctic ice sheet. These data products were generated from a portion of the imagery acquired during Terra orbit 26584 and utilize data from within blocks 159 to 161 within World Reference System-2 path 63.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  18. Steps Toward an EOS-Era Aerosol Type Climatology

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.

    2012-01-01

    We still have a way to go to develop a global climatology of aerosol type from the EOS-era satellite data record that currently spans more than 12 years of observations. We have demonstrated the ability to retrieve aerosol type regionally, providing a classification based on the combined constraints on particle size, shape, and single-scattering albedo (SSA) from the MISR instrument. Under good but not necessarily ideal conditions, the MISR data can distinguish three-to-five size bins, two-to-four bins in SSA, and spherical vs. non-spherical particles. However, retrieval sensitivity varies enormously with scene conditions. So, for example, there is less information about aerosol type when the mid-visible aerosol optical depth (AOD) is less that about 0.15 or 0.2, or when the range of scattering angles observed is reduced by solar geometry, even though the quality of the AOD retrieval itself is much less sensitive to these factors. This presentation will review a series of studies aimed at assessing the capabilities, as well as the limitations, of MISR aerosol type retrievals involving wildfire smoke, desert dust, volcanic ash, and urban pollution, in specific cases where suborbital validation data are available. A synthesis of results, planned upgrades to the MISR Standard aerosol algorithm to improve aerosol type retrievals, and steps toward the development of an aerosol type quality flag for the Standard product, will also be covered.

  19. MISR Images Northeastern Botswana

    NASA Technical Reports Server (NTRS)

    2000-01-01

    MISR images of the Ntwetwe and Sua Pans in northeastern Botswana, acquired on August 18, 2000 (Terra orbit 3553). The left image is a color view from the vertical-viewing (nadir) camera. On the right is a composite of red band imagery in which the 45-degree aft camera data are displayed in blue, 45-degree forward as green, and vertical as red. This combination causes wet areas to appear blue because of the glint-like reflection from water and damp surfaces. Clouds are visible in the upper left corner and right center of each image. The clouds look peculiar in the multi-angle view because geometric parallax resulting from their elevation above the surface causes a misregistration of the individual images making up the composite. This stereoscopic effect provides a way of distinguishing clouds from bright surfaces.

    The images are approximately 250 kilometers across. Ntwetwe and Sua pans are closed interior basins that catch rainwater and surface runoff during the wet season. Seasonal lakes form that may reach several meters in depth. During the dry season the collected waters rapidly evaporate leaving behind dissolved salts that coat the surface and turn it bright ('sua' means salt). The mining town of Sowa is located where the Sua Spit (a finger of grassland extending into the pan) attaches to the shore. Sowa represents headquarters for a JPL contingent carrying out MISR field experiments using the evaporite surface and the grasslands as targets and for Botswana scientists studying migration of groundwaters beneath the pans and surrounding areas. These efforts support the Southern Africa Regional Science Initiative (SAFARI-2000), which is now underway.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

    For more information: http://www-misr.jpl.nasa.gov

  20. Does Management Matter?: Using MISR to Assess the Effects of Charcoal Production and Management on Woodland Regeneration

    NASA Astrophysics Data System (ADS)

    Wurster, K.

    2008-12-01

    In much of Sub-Saharan Africa, more than 75 percent of a rapidly growing urban population depends on charcoal as their primary source of energy for cooking. The high demand for charcoal has led many to believe that charcoal harvesting catalyzes widespread deforestation. The Senegalese government and international donors have initiated projects within protected areas to combat deforestation and created land management plans to sustainably harvest charcoal. To date, the effects of forest management techniques on forest sustainability are still in question. This research uses a multiphase approach integrating satellite analysis with field surveys to assess the effect of varying forest management strategies on forest regeneration and sustainability after charcoal harvesting. Phase I involved testing the Multiangle Imaging SpectroRadiometer (MISR) satellites capability in detecting structural changes in vegetative cover caused by charcoal harvesting and production. Analysis of the MISR derived k(red) parameter showed MISR can consistently differentiate between forest cover types and successfully differentiates between sites at pre- and post-charcoal harvest stages. Phase II conducted forestry and social surveys comparing and contrasting local effects of land management, land use, and charcoal production on forest regeneration. Phase III uses the local surveys to validate and train the regional remote sensing data to assess the effectiveness of land management in promoting forest regeneration and sustainability after charcoal harvesting. Combining detailed local knowledge with the regional capabilities of MISR provide valuable insight into the factors that control woodland regeneration and sustainability. Preliminary results from phases II and III indicate that both field and remotely sensed variations in forest cover, tree regeneration, and land use change does not vary when compared against land management type. Final results will provide managers with additional information to create more effective land management strategies that can be implemented across sub- Saharan Africa, ensuring the long-term sustainability of woodland ecosystems and local livelihoods.

  1. New NASA Images of Irma's Towering Clouds

    NASA Image and Video Library

    2017-09-08

    On Sept. 7, the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite passed over Hurricane Irma at approximately 11:20 a.m. local time. The MISR instrument comprises nine cameras that view the Earth at different angles, and since it takes roughly seven minutes for all nine cameras to capture the same location, the motion of the clouds between images allows scientists to calculate the wind speed at the cloud tops. The animated GIF shows Irma's motion over the seven minutes of the MISR imagery. North is toward the top of the image. This composite image shows Hurricane Irma as viewed by the central, downward-looking camera (left), as well as the wind speeds (right) superimposed on the image. The length of the arrows is proportional to the wind speed, while their color shows the altitude at which the winds were calculated. At the time the image was acquired, Irma's eye was located approximately 60 miles (100 kilometers) north of the Dominican Republic and 140 miles (230 kilometers) north of its capital, Santo Domingo. Irma was a powerful Category 5 hurricane, with wind speeds at the ocean surface up to 185 miles (300 kilometers) per hour, according to the National Oceanic and Atmospheric Administration. The MISR data show that at cloud top, winds near the eye wall (the most destructive part of the storm) were approximately 90 miles per hour (145 kilometers per hour), and the maximum cloud-top wind speed throughout the storm calculated by MISR was 135 miles per hour (220 kilometers per hour). While the hurricane's dominant rotation direction is counter-clockwise, winds near the eye wall are consistently pointing outward from it. This is an indication of outflow, the process by which a hurricane draws in warm, moist air at the surface and ejects cool, dry air at its cloud tops. These data were captured during Terra orbit 94267. An animation is available at https://photojournal.jpl.nasa.gov/catalog/PIA21946

  2. Response to "Toward Unified Satellite Climatology of Aerosol Properties. 3. MODIS Versus MISR Versus AERONET"

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.; Garay, Michael J.; Nelson, David L.; Levy, Robert C.; Bull, Michael A.; Diner, David J.; Martonchik, John V.; Hansen, Earl G.; Remer, Lorraine A.; Tanre, Didier

    2010-01-01

    A recent paper by Mishchenko et al. compares near-coincident MISR, MODIS, and AERONET aerosol optical depth (AOD) products, and reports much poorer agreement than that obtained by the instrument teams and others. We trace the reasons for the discrepancies primarily to differences in (1) the treatment of outliers, (2) the application of absolute vs. relative criteria for testing agreement, and (3) the ways in which seasonally varying spatial distributions of coincident retrievals are taken into account.

  3. Two Perspectives on Forest Fire

    NASA Technical Reports Server (NTRS)

    2002-01-01

    Multi-angle Imaging Spectroradiometer (MISR) images of smoke plumes from wildfires in western Montana acquired on August 14, 2000. A portion of Flathead Lake is visible at the top, and the Bitterroot Range traverses the images. The left view is from MISR's vertical-viewing (nadir) camera. The right view is from the camera that looks forward at a steep angle (60 degrees). The smoke location and extent are far more visible when seen at this highly oblique angle. However, vegetation is much darker in the forward view. A brown burn scar is located nearly in the exact center of the nadir image, while in the high-angle view it is shrouded in smoke. Also visible in the center and upper right of the images, and more obvious in the clearer nadir view, are checkerboard patterns on the surface associated with land ownership boundaries and logging. Compare these images with the high resolution infrared imagery captured nearby by Landsat 7 half an hour earlier. Images by NASA/GSFC/JPL, MISR Science Team.

  4. Physical Interpretation of the Correlation Between Multi-Angle Spectral Data and Canopy Height

    NASA Technical Reports Server (NTRS)

    Schull, M. A.; Ganguly, S.; Samanta, A.; Huang, D.; Shabanov, N. V.; Jenkins, J. P.; Chiu, J. C.; Marshak, A.; Blair, J. B.; Myneni, R. B.; hide

    2007-01-01

    Recent empirical studies have shown that multi-angle spectral data can be useful for predicting canopy height, but the physical reason for this correlation was not understood. We follow the concept of canopy spectral invariants, specifically escape probability, to gain insight into the observed correlation. Airborne Multi-Angle Imaging Spectrometer (AirMISR) and airborne Laser Vegetation Imaging Sensor (LVIS) data acquired during a NASA Terrestrial Ecology Program aircraft campaign underlie our analysis. Two multivariate linear regression models were developed to estimate LVIS height measures from 28 AirMISR multi-angle spectral reflectances and from the spectrally invariant escape probability at 7 AirMISR view angles. Both models achieved nearly the same accuracy, suggesting that canopy spectral invariant theory can explain the observed correlation. We hypothesize that the escape probability is sensitive to the aspect ratio (crown diameter to crown height). The multi-angle spectral data alone therefore may not provide enough information to retrieve canopy height globally

  5. Estimating particle speciation concentrations using MISR retrieved aerosol properties in southern California

    NASA Astrophysics Data System (ADS)

    Meng, X.; Liu, Y.; Diner, D. J.; Garay, M. J.

    2016-12-01

    Ambient fine particle (PM2.5) has been positively associated with increased mortality and morbidity worldwide. Recent studies highlight the characteristics and differential toxicity of PM2.5 chemical components, which are important for identifying sources, developing targeted particulate matter (PM) control strategies, and protecting public health. Modelling with satellite retrieved data has been proved as the most cost-effective way to estimate ground PM2.5 levels; however, limited studies have predict PM2.5 chemical components with this method. In this study, the experimental MISR 4.4 km aerosol retrievals were used to predict ground-level particle sulfate, nitrite, organic carbon and element carbon concentrations in 16 counties of southern California. The PM2.5 chemical components concentrations were obtained from the National Chemical Speciation Network (CSN) and the Interagency Monitoring of Protected Visual Environments (IMPROVE) network. A generalized additive model (GAM) was developed based on 16-years data (2000-2015) by combining the MISR aerosol retrievals, meteorological variables and geographical indicators together. Model performance was assessed by model fitted R2 and root-mean-square error (RMSE) and 10-fold cross validation. Spatial patterns of sulfate, nitrate, OC and EC concentrations were also examined with 2-D prediction surfaces. This is the first attempt to develop high-resolution spatial models to predict PM2.5 chemical component concentrations with MISR retrieved aerosol properties, which will provide valuable population exposure estimates for future studies on the characteristics and differential toxicity of PM2.5 speciation.

  6. America National Parks Viewed in 3D by NASA MISR Anaglyph 3

    NASA Image and Video Library

    2016-08-25

    Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite is releasing four new anaglyphs that showcase 33 of our nation's national parks, monuments, historical sites and recreation areas in glorious 3D. Shown in the annotated image are Lewis and Clark National Historic Park, Mt. Rainier National Park, Olympic National Park, Ebey's Landing National Historical Reserve, San Juan Island National Historic Park, North Cascades National Park, Lake Chelan National Recreation Area, and Ross Lake National Recreation Area (also Mt. St. Helens National Volcanic Monument, administered by the U.S. Forest Service) MISR views Earth with nine cameras pointed at different angles, giving it the unique capability to produce anaglyphs, stereoscopic images that allow the viewer to experience the landscape in three dimensions. The anaglyphs were made by combining data from MISR's vertical-viewing and 46-degree forward-pointing camera. You will need red-blue glasses in order to experience the 3D effect; ensure you place the red lens over your left eye. The images have been rotated so that north is to the left in order to enable 3D viewing because the Terra satellite flies from north to south. All of the images are 235 miles (378 kilometers) from west to east. These data were acquired May 12, 2012, Orbit 65960. http://photojournal.jpl.nasa.gov/catalog/PIA20891

  7. America National Parks Viewed in 3D by NASA MISR Anaglyph 1

    NASA Image and Video Library

    2016-08-25

    Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite is releasing four new anaglyphs that showcase 33 of our nation's national parks, monuments, historical sites and recreation areas in glorious 3D. Shown in the annotated image are Walnut Canyon National Monument, Sunset Crater Volcano National Monument, Wupatki National Monument, Grand Canyon National Park, Pipe Spring National Monument, Zion National Park, Cedar Breaks National Monument, Bryce Canyon National Park, Capitol Reef National Park, Navajo National Monument, Glen Canyon National Recreation Area, Natural Bridges National Monument, Canyonlands National Park, and Arches National Park. MISR views Earth with nine cameras pointed at different angles, giving it the unique capability to produce anaglyphs, stereoscopic images that allow the viewer to experience the landscape in three dimensions. The anaglyphs were made by combining data from MISR's vertical-viewing and 46-degree forward-pointing camera. You will need red-blue glasses in order to experience the 3D effect; ensure you place the red lens over your left eye. The images have been rotated so that north is to the left in order to enable 3D viewing because the Terra satellite flies from north to south. All of the images are 235 miles (378 kilometers) from west to east. These data were acquired June 18, 2016, Orbit 87774. http://photojournal.jpl.nasa.gov/catalog/PIA20889

  8. Sensitivity of Multiangle Imaging to the Optical and Microphysical Properties of Biomass Burning Aerosols

    NASA Technical Reports Server (NTRS)

    Chen, Wei-Ting; Kahn, Ralph A.; Nelson, David; Yau, Kevin; Seinfeld, John H.

    2008-01-01

    The treatment of biomass burning (BB) carbonaceous particles in the Multiangle Imaging SpectroRadiometer (MISR) Standard Aerosol Retrieval Algorithm is assessed, and algorithm refinements are suggested, based on a theoretical sensitivity analysis and comparisons with near-coincident AERONET measurements at representative BB sites. Over the natural ranges of BB aerosol microphysical and optical properties observed in past field campaigns, patterns of retrieved Aerosol Optical Depth (AOD), particle size, and single scattering albedo (SSA) are evaluated. On the basis of the theoretical analysis, assuming total column AOD of 0.2, over a dark, uniform surface, MISR can distinguish two to three groups in each of size and SSA, except when the assumed atmospheric particles are significantly absorbing (mid-visible SSA approx.0.84), or of medium sizes (mean radius approx.0.13 pin); sensitivity to absorbing, medium-large size particles increases considerably when the assumed column AOD is raised to 0.5. MISR Research Aerosol Retrievals confirm the theoretical results, based on coincident AERONET inversions under BB-dominated conditions. When BB is externally mixed with dust in the atmosphere, dust optical model and surface reflection uncertainties, along with spatial variability, contribute to differences between the Research Retrievals and AERONET. These results suggest specific refinements to the MISR Standard Aerosol Algorithm complement of component particles and mixtures. They also highlight the importance for satellite aerosol retrievals of surface reflectance characterization, with accuracies that can be difficult to achieve with coupled surface-aerosol algorithms in some higher AOD situations.

  9. MISR Watches Motion of the Moon's Shadow During Total Solar Eclipse

    NASA Image and Video Library

    2017-09-19

    On Aug. 21, 2017, a total solar eclipse swept across the United States -- the first such eclipse in the contiguous 48 states since 1979, and the first cross-country eclipse since 1918. A partial eclipse was visible in all 50 states, and initial estimates suggest that upwards of 20 million people observed the Moon completely obscuring the Sun in the 70-mile-wide (113-kilometer-wide) path of totality. While viewing a total solar eclipse from the ground is an amazing experience, satellites orbiting Earth see the eclipse from a unique perspective. As the Moon's shadow passed through the United States, the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite was capturing images of eastern Wyoming and western Nebraska from its altitude of 438 miles (705 kilometers) above the surface. MISR gathers images on a strip about 249 miles (400 kilometers) wide directly below the path of the satellite. Incredibly, given that the shadow of the Moon took only 90 minutes to cross the entire United States, and Terra itself moves at a brisk 16,700 miles per hour from north to south, MISR happened to be in exactly the right place at the right time to capture totality. From the ground, the moment of totality appears suddenly, sweeping over the sky in just a few seconds. "I was unprepared for just how dark it actually was," says Mika Tosca, a researcher who works with MISR data and who observed the eclipse in Nebraska. "The streetlights even turned on. Everything fell silent, and I swear the temperature dropped." From the vantage point of space, however, it’s possible to see the entire shadow of the Moon, with the completely dark, circular umbra and the more diffuse penumbra. MISR contains nine cameras oriented at different angles, viewing forward, downward, and backward along the flight path, resulting in an approximate seven-minute interval for all nine cameras to image a single location on Earth's surface. This animation combines these nine images into a movie showing the motion of the Moon's shadow during this seven-minute period. In the first image, captured by the camera pointing farthest ahead of the satellite, totality has not quite begun in the area seen by MISR. From the second camera onward, totality sweeps across the image area from west to east, beginning just west of the town of Jay Em, Wyoming, and proceeding about halfway across the MISR swath to the town of Alliance, Nebraska. The motion of the lunar shadow in different pairs of images leads to estimates of the local ground speed ranging between 1,480 and 1,820 miles per hour (2,382 and 2,929 kilometers per hour). The spread in values is a measure of the uncertainty of the estimate. At this location, the predicted speed of the eclipse calculated from lunar orbital motion is about 1,658 miles per hour (2,668 kilometers per hour), which falls in the middle of the range estimated from the MISR images. Tosca's observation that the temperature dropped during the eclipse is a well-known phenomenon. The GLOBE Observer, a phone application dedicated to citizen science and sponsored by NASA, encouraged eclipse-goers to record the local air temperature at regular intervals. Data collected by nearby observers in the path of totality show that, on average, temperatures dropped by 9.3 degrees Fahrenheit (5.2 degrees Celsius) during the eclipse. This compares to an average of 5.4 degrees Fahrenheit drop measured at several Nebraska Mesonet weather stations within the path of totality. The decrease in the amount of sunlight reaching Earth affected more than temperatures. Areas that get a large portion of their power from solar energy were naturally concerned about shortages during the eclipse -- the state of California, though not in the path of totality, estimated that 6,000 megawatts of solar power would be lost during the eclipse. An animation is available at https://photojournal.jpl.nasa.gov/catalog/PIA21957

  10. Seasonal Surface Changes in Namibia and Central Angola

    NASA Technical Reports Server (NTRS)

    2003-01-01

    Brightness variations in the terrain along a portion of southwestern Africa are displayed in these views from the Multi-angle Imaging SpectroRadiometer (MISR). The panels portray an area that includes Namibia's Skeleton Coast and Etosha National Park as well as Angola's Cuando Cubango. The top panels were acquired on March 6, 2001, during the region's wet season, and the bottom panels were acquired on September 1, 2002, during the dry season. Corresponding changes in the abundance of vegetation are apparent. The images on the left are natural color (red, green, blue) images from MISR's vertical-viewing (nadir) camera. The images on the right represent one of MISR's derived surface products.

    The radiance (light intensity) in each pixel of the so-called 'top-of-atmosphere' images on the left includes light that is reflected by the Earth's surface in addition to light that is transmitted and reflected by the atmosphere. The amount of radiation reflected by the surface into all upward directions, as opposed to any single direction, is important when studying Earth's energy budget. A quantity called the surface 'directional hemispherical reflectance' (DHR), sometimes called the 'black-sky albedo', captures this information, and is depicted in the images on the right. MISR's multi-angle views lead to more accurate estimates of the amount of radiation reflected into all directions than can be obtained as a result of looking at a single (e.g., vertically downward) view angle. Furthermore, to generate this surface product accurately, it is necessary to compensate for the effects of the intervening atmosphere, and MISR provides the ability to characterize and account for scattering of light by airborne particulates (aerosols).

    The DHR is called a hemispherical reflectance because it measures the amount of radiation reflected into all upward directions, and which therefore traverses an imaginary hemisphere situated above each surface point. The 'directional' part of the name describes the illumination geometry, and indicates that in the absence of an intervening atmosphere, light from the Sun illuminates the surface from a single direction (that is, there is no diffuse skylight, hence the 'black-sky' terminology). The DHR is retrieved over land surfaces in each of MISR's four wavelength bands, and the images on the right are red, green, blue spectral composites. Regions where DHR could not be derived, either due to an inability to retrieve the necessary atmospheric characteristics or due to the presence of clouds, are shown in dark gray.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbits 6466 and 14388. The panels cover an area of about 380 kilometers x 760 kilometers, and utilize data from blocks 102 to 107 within World Reference System-2 path 181.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory,Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center,Greenbelt, MD. JPL is a division of the California Institute of Technology.

  11. Site of the 2016 Summer Olympic Games viewed by NASA MISR

    NASA Image and Video Library

    2016-08-10

    The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite passed directly over Rio de Janeiro, Brazil, on Aug. 2, 2016, just prior to the opening of the Summer Olympic Games. On the left is an image from MISR's nadir (downward-looking) camera; the width of the image is 235 miles (378 kilometers), and Rio de Janeiro is visible as the large gray area on the coast in the center. The black asterisk marks the location of the Maracanã Stadium in downtown, where the opening ceremonies were held. In the weeks leading up to the Aug. 5 opening ceremonies in Rio de Janeiro, there have been reports of elevated levels of particulate matter in the region. Particulate matter refers to tiny airborne droplets or pieces of soot and dust that can end up in the lungs, comprising an all-too-common problem for many cities around the world. MISR data are routinely used to estimate the amount of air pollution via measurements of aerosol optical depth, which is a measure of how much incoming light from the sun is blocked by particles in the atmosphere. On the right, a map of aerosol optical depth is superimposed on the image. Individual squares making up this map measure 2.7 miles (4.4 kilometers) on a side, and holes in the map occur where an aerosol amount could not be determined, such as where clouds are present. Optical depth over Rio is slightly elevated compared to its surroundings, most likely due to the presence of air pollution, with values from 0.15-0.25. For reference, an optical depth of 0.2 corresponds to light haze. The product shown here is a prototype of a new version of the MISR aerosol product to be publicly released in the near future, and increases the spatial resolution of the aerosol information by a factor of 16 compared to the currently available product, making it possible to observe the fine details of optical depth over urban areas. These data were captured during Terra orbit 88426. http://photojournal.jpl.nasa.gov/catalog/PIA20885

  12. Comparison of MISR and Meteosat-9 cloud-motion vectors

    NASA Astrophysics Data System (ADS)

    Lonitz, Katrin; HorváTh, ÁKos

    2011-12-01

    Stereo motion vectors (SMVs) from the Multiangle Imaging SpectroRadiometer (MISR) were evaluated against Meteosat-9 cloud-motion vectors (CMVs) over a one-year period. In general, SMVs had weaker westerlies and southerlies than CMVs at all latitudes and levels. The E-W wind comparison showed small vertical variations with a mean difference of -0.4 m s-1, -1 m s-1, -0.7 m s-1 and corresponding rmsd of 2.4 m s-1, 3.8 m s-1, 3.5 m s-1for low-, mid-, and high-level clouds, respectively. The N-S wind discrepancies were larger and steadily increased with altitude, having a mean difference of -0.8 m s-1, -2.9 m s-1, -4.4 m s-1 and rmsd of 3.5 m s-1, 6.9 m s-1, 9.5 m s-1at low, mid, and high levels. The best overall agreement was found in marine stratocumulus off Namibia, while differences were larger in the Tropics and convective clouds. The SMVs were typically assigned to higher altitudes than CMVs. Attributing each observed height difference to MISR and/or Meteosat-9 retrieval biases will require further research; nevertheless, we already identified a few regions and cloud types where CMV height assignment seemed to be the one in error. In thin mid- and high-level clouds over Africa and Arabia as well as in broken marine boundary layer clouds the 10.8-μm brightness temperature-based heights were often biased low due to radiance contributions from the warm surface. Contrarily, low-level CMVs in the South Atlantic were frequently assigned to mid levels by the CO2-slicing method in multilayer situations. We also noticed an apparent cross-swath dependence in SMVs, whereby retrievals were less accurate on the eastern side of the MISR swath than on the western side. This artifact was traced back to sub-pixel MISR co-registration errors, which introduced cross-swath biases in E-W wind, N-S wind, and height of 0.6 m s-1, 2.6 m s-1, and 210 m.

  13. Greener Pastures in Northern Queensland, Australia

    NASA Technical Reports Server (NTRS)

    2004-01-01

    After a 19 month rainfall deficiency, heavy rainfall during January 2004 brought drought relief to much of northern Queensland. Local graziers hope for good long-term responses in pasture growth from the heavy rains. These images and maps from the Multi-angle Imaging SpectroRadiometer (MISR) portray part of Australia's Mitchell Grasslands bioregion before summer rainfall, on October 18, 2003 (left) and afterwards, on February 7, 2004 (right).

    The top pair of images are natural color views from MISR's nadir camera. The green areas in the post-rainfall image highlight the growth of vegetation. The middle panels show the reflectivity of the surface over the photosynthetically active region (PAR) of visible light (400 - 700 nm), expressed as a directional-hemispherical reflectance (DHR-PAR), or albedo. That portion of the radiation that is not reflected back to the atmosphere or space is absorbed by either the vegetation or the soil. The fraction of PAR radiation absorbed by green vegetation, known as FPAR, is shown in the bottom panels. FPAR is one of the quantities that establishes the photosynthetic and carbon uptake efficiency of live vegetation. MISR's FPAR product makes use of aerosol retrievals to correct for atmospheric scattering and absorption effects, and uses plant canopy structural models to determine the partitioning of solar radiation. Both of these aspects are facilitated by the multiangular nature of the MISR measurements.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbits 20397 and 22028. The panels cover an area of about 290 kilometers x 228 kilometers, and utilize data from blocks 106 to 108 within World Reference System-2 path 96.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  14. Smoke from Fires in Southern Mexico

    NASA Technical Reports Server (NTRS)

    2002-01-01

    On May 2, 2002, numerous fires in southern Mexico sent smoke drifting northward over the Gulf of Mexico. These views from the Multi-angle Imaging SpectroRadiometer illustrate the smoke extent over parts of the Gulf and the southern Mexican states of Tabasco, Campeche and Chiapas. At the same time, dozens of other fires were also burning in the Yucatan Peninsula and across Central America. A similar situation occurred in May and June of 1998, when Central American fires resulted in air quality warnings for several U.S. States.

    The image on the left is a natural color view acquired by MISR's vertical-viewing (nadir) camera. Smoke is visible, but sunglint in some ocean areas makes detection difficult. The middle image, on the other hand, is a natural color view acquired by MISR's 70-degree backward-viewing camera; its oblique view angle simultaneously suppresses sunglint and enhances the smoke. A map of aerosol optical depth, a measurement of the abundance of atmospheric particulates, is provided on the right. This quantity is retrieved using an automated computer algorithm that takes advantage of MISR's multi-angle capability. Areas where no retrieval occurred are shown in black.

    The images each represent an area of about 380 kilometers x 1550 kilometers and were captured during Terra orbit 12616.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  15. NASA MISR Studies Smoke Plumes from California Sand Fire

    NASA Image and Video Library

    2016-08-02

    39,000 acres (60 square miles, or 160 square kilometers). Thousands of residents were evacuated, and the fire claimed the life of one person. The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite passed over the region on July 23 around 11:50 a.m. PDT. At left is an image acquired by MISR's 60-degree forward-viewing camera. The oblique view angle makes the smoke more apparent than it would be in a more conventional vertical view. This cropped image is about 185 miles (300 kilometers) wide. Smoke from the Sand Fire is visible on the right-hand side of the image. Stereoscopic analysis of MISR's multiple camera angles is used to compute the height of the smoke plume from the Sand Fire. In the right-hand image, these heights are superimposed on the underlying image. The color scale shows that the plume extends up to about 4 miles (6 kilometers) above its source in Santa Clarita, but rapidly diminishes in height as winds push it to the southwest. The data compare well with a pilot report issued at Los Angeles International Airport on the evening of July 22, which reported smoke at 15,000-18,000 feet altitude (4.5 to 5.5 kilometers). Air quality warnings were issued for the San Fernando Valley and the western portion of Los Angeles due to this low-hanging smoke. However, data from air quality monitoring instruments seem to indicate that the smoke did not actually reach the ground. These data were captured during Terra orbit 88284. http://photojournal.jpl.nasa.gov/catalog/PIA20724

  16. Informing Aerosol Transport Models With Satellite Multi-Angle Aerosol Measurements

    NASA Technical Reports Server (NTRS)

    Limbacher, J.; Patadia, F.; Petrenko, M.; Martin, M. Val; Chin, M.; Gaitley, B.; Garay, M.; Kalashnikova, O.; Nelson, D.; Scollo, S.

    2011-01-01

    As the aerosol products from the NASA Earth Observing System's Multi-angle Imaging SpectroRadiometer (MISR) mature, we are placing greater focus on ways of using the aerosol amount and type data products, and aerosol plume heights, to constrain aerosol transport models. We have demonstrated the ability to map aerosol air-mass-types regionally, and have identified product upgrades required to apply them globally, including the need for a quality flag indicating the aerosol type information content, that varies depending upon retrieval conditions. We have shown that MISR aerosol type can distinguish smoke from dust, volcanic ash from sulfate and water particles, and can identify qualitative differences in mixtures of smoke, dust, and pollution aerosol components in urban settings. We demonstrated the use of stereo imaging to map smoke, dust, and volcanic effluent plume injection height, and the combination of MISR and MODIS aerosol optical depth maps to constrain wildfire smoke source strength. This talk will briefly highlight where we stand on these application, with emphasis on the steps we are taking toward applying the capabilities toward constraining aerosol transport models, planet-wide.

  17. Analysis of MAIAC Dust Aerosol Retrievals from MODIS Over North Africa

    NASA Technical Reports Server (NTRS)

    Lyapustin, A.; Wang, Y.; Hsu, C.; Torres, O.; Leptoukh, G.; Kalashnikova, O.; Korkin, S.

    2011-01-01

    An initial comparison of aerosol optical thickness over North Africa for year 2007 was performed between the Deep Blue and Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithms complimented with MISR and OMI data. The new MAIAC algorithm has a better sensitivity to the small dust storms than the DB algorithm, but it also has biases in the brightest desert regions indicating the need for improvement. The quarterly averaged AOT values in the Bodele depression and western downwind transport region show a good agreement among MAIAC, MISR and OMI data, while the DB algorithm shows a somewhat different seasonality.

  18. Clouds and Ice of the Lambert-Amery System, East Antarctica

    NASA Technical Reports Server (NTRS)

    2002-01-01

    These views from the Multi-angle Imaging SpectroRadiometer (MISR) illustrate ice surface textures and cloud-top heights over the Amery Ice Shelf/Lambert Glacier system in East Antarctica on October 25, 2002.

    The left-hand panel is a natural-color view from MISR's downward-looking (nadir) camera. The center panel is a multi-angular composite from three MISR cameras, in which color acts as a proxy for angular reflectance variations related to texture. Here, data from the red-band of MISR's 60o forward-viewing, nadir and 60o backward-viewing cameras are displayed as red, green and blue, respectively. With this display technique, surfaces which predominantly exhibit backward-scattering (generally rough surfaces) appear red/orange, while surfaces which predominantly exhibit forward-scattering (generally smooth surfaces) appear blue. Textural variation for both the grounded and sea ice are apparent. The red/orange pixels in the lower portion of the image correspond with a rough and crevassed region near the grounding zone, that is, the area where the Lambert and four other smaller glaciers merge and the ice starts to float as it forms the Amery Ice Shelf. In the natural-color view, this rough ice is spectrally blue in color.

    Clouds exhibit both forward and backward-scattering properties in the middle panel and thus appear purple, in distinct contrast with the underlying ice and snow. An additional multi-angular technique for differentiating clouds from ice is shown in the right-hand panel, which is a stereoscopically derived height field retrieved using automated pattern recognition involving data from multiple MISR cameras. Areas exhibiting insufficient spatial contrast for stereoscopic retrieval are shown in dark gray. Clouds are apparent as a result of their heights above the surface terrain. Polar clouds are an important factor in weather and climate. Inadequate characterization of cloud properties is currently responsible for large uncertainties in climate prediction models. Identification of polar clouds, mapping of their distributions, and retrieval of their heights provide information that will help to reduce this uncertainty.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire Earth between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbit 15171. The panels cover an area of 380 kilometers x 984 kilometers, and utilize data from blocks 145 to 151 within World Reference System-2 path 127.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory,Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center,Greenbelt, MD. JPL is a division of the California Institute of Technology.

  19. NASA MISR Tracks Growth of Rift in the Larsen C Ice Shelf

    NASA Image and Video Library

    2017-04-11

    A rift in Antarctica's Larsen C ice shelf has grown to 110 miles (175 km) long, making it inevitable that an iceberg larger than Rhode Island will soon calve from the ice shelf. Larsen C is the fourth largest ice shelf in Antarctica, with an area of almost 20,000 square miles (50,000 square kilometers). The calving event will remove approximately 10 percent of the ice shelf's mass, according to the Project for Impact of Melt on Ice Shelf Dynamics and Stability (MIDAS), a UK-based team studying the ice shelf. Only 12 miles (20 km) of ice now separates the end of the rift from the ocean. The rift has grown at least 30 miles (50 km) in length since August, but appears to be slowing recently as Antarctica returns to polar winter. Project MIDAS reports that the calving event might destabilize the ice shelf, which could result in a collapse similar to what occurred to the Larsen B ice shelf in 2002. The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite captured views of Larsen C on August 22, 2016, when the rift was 80 miles (130 km) in length; December 8, 2016, when the rift was approximately 90 miles (145 km) long; and April 6, 2017. The MISR instrument has nine cameras, which view the Earth at different angles. The overview image, from December 8, shows the entire Antarctic Peninsula -- home to Larsen A, B, and C ice shelves -- in natural color (similar to how it would appear to the human eye) from MISR's vertical-viewing camera. Combining information from several MISR cameras pointed at different angles gives information about the texture of the ice. The accompanying GIF depicts the inset area shown on the larger image and displays data from all three dates in false color. These multiangular views -- composited from MISR's 46-degree backward-pointing camera, the nadir (vertical-viewing) camera, and the 46-degree forward-pointing camera -- represent variations in ice texture as changes in color, such that areas of rough ice appear orange and smooth ice appears blue. The Larsen C shelf is on the left in the GIF, bordered by the Weddell Sea on the upper right. The ice within the rift is orange, indicating movement, and the end of the rift can be tracked across the shelf between images. In addition, between December and April, the rift widened, pushing the future iceberg away from the shelf at its southern end. These data were acquired during Terra orbits 88717, 90290 and 92023. https://photojournal.jpl.nasa.gov/catalog/PIA21581

  20. Inter-Comparison of WRF Model Simulated Winds and MISR Stereoscopic Winds Embedded within Mesoscale von Kármán Wake Vortices

    NASA Astrophysics Data System (ADS)

    Horvath, A.; Nunalee, C. G.; Mueller, K. J.

    2014-12-01

    Several distinct wake regimes are possible when considering atmospheric flow past a steep mountainous island. Of these regimes, coherent vortex shedding in low-Froude number flow is particularly interesting because it can produce laterally focused paths of counter rotating eddies capable of extending downstream for hundreds of kilometers (i.e., a von Kármán vortex street). Given the spatial scales of atmospheric von Kármán vortices, which typically lies on the interface of the meso-scale and the micro-scale, they are uniquely challenging to model using conventional numerical weather prediction platforms. In this presentation, we present high resolution (1-km horizontally) numerical modeling results using the Weather Research and Forecasting (WRF) model, of multiple real-world von Kármán vortex shedding events associated with steep islands (e.g., Madeira island, Gran Canaria island, etc.). In parallel, we also present corresponding cloud-motion wind and cloud-top height measurements from the satellite-based Multiangle Imaging SpectroRadiometer (MISR) instrument. The MISR stereo algorithm enables experimental retrieval of the horizontal wind vector (both along-track and cross-track components) at 4.4-km resolution, in addition to the operational 1.1-km resolution cross-track wind and cloud-top height products. These products offer the fidelity appropriate for inter-comparison with the numerically simulated vortex streets. In general, we find an agreement between the instantaneous simulated cloud level winds and the MISR stereoscopic winds; however, discrepancies in the vortex street length and localized horizontal wind shear were documented. In addition, the simulated fields demonstrate sensitivity to turbulence closure and input terrain height data.

  1. Application of Spectral Analysis Techniques in the Intercomparison of Aerosol Data. Part II: Using Maximum Covariance Analysis to Effectively Compare Spatiotemporal Variability of Satellite and AERONET Measured Aerosol Optical Depth

    NASA Technical Reports Server (NTRS)

    Li, Jing; Carlson, Barbara E.; Lacis, Andrew A.

    2014-01-01

    Moderate Resolution Imaging SpectroRadiometer (MODIS) and Multi-angle Imaging Spectroradiomater (MISR) provide regular aerosol observations with global coverage. It is essential to examine the coherency between space- and ground-measured aerosol parameters in representing aerosol spatial and temporal variability, especially in the climate forcing and model validation context. In this paper, we introduce Maximum Covariance Analysis (MCA), also known as Singular Value Decomposition analysis as an effective way to compare correlated aerosol spatial and temporal patterns between satellite measurements and AERONET data. This technique not only successfully extracts the variability of major aerosol regimes but also allows the simultaneous examination of the aerosol variability both spatially and temporally. More importantly, it well accommodates the sparsely distributed AERONET data, for which other spectral decomposition methods, such as Principal Component Analysis, do not yield satisfactory results. The comparison shows overall good agreement between MODIS/MISR and AERONET AOD variability. The correlations between the first three modes of MCA results for both MODIS/AERONET and MISR/ AERONET are above 0.8 for the full data set and above 0.75 for the AOD anomaly data. The correlations between MODIS and MISR modes are also quite high (greater than 0.9). We also examine the extent of spatial agreement between satellite and AERONET AOD data at the selected stations. Some sites with disagreements in the MCA results, such as Kanpur, also have low spatial coherency. This should be associated partly with high AOD spatial variability and partly with uncertainties in satellite retrievals due to the seasonally varying aerosol types and surface properties.

  2. Extratropical Cyclone in the Southern Ocean

    NASA Technical Reports Server (NTRS)

    2002-01-01

    These images from the Multi-angle Imaging SpectroRadiometer (MISR) portray an occluded extratropical cyclone situated in the Southern Ocean, about 650 kilometers south of the Eyre Peninsula, South Australia. The left-hand image, a true-color view from MISR's nadir (vertical-viewing) camera, shows clouds just south of the Yorke Peninsula and the Murray-Darling river basin in Australia. Retrieved cloud-tracked wind velocities are indicated by the superimposed arrows. The image on the right displays cloud-top heights. Areas where cloud heights could not be retrieved are shown in black. Both the wind vectors and the cloud heights were derived using data from multiple MISR cameras within automated computer processing algorithms. The stereoscopic algorithms used to generate these results are still being refined, and future versions of these products may show modest changes. Extratropical cyclones are the dominant weather system at midlatitudes, and the term is used generically for regional low-pressure systems in the mid- to high-latitudes. In the southern hemisphere, cyclonic rotation is clockwise. These storms obtain their energy from temperature differences between air masses on either side of warm and cold fronts, and their characteristic pattern is of warm and cold fronts radiating out from a migrating low pressure center which forms, deepens, and dissipates as the fronts fold and collapse on each other. The center of this cyclone has started to decay, with the band of cloud to the south most likely representing the main front that was originally connected with the cyclonic circulation. These views were acquired on October 11, 2001, and the large view represents an area of about 380 kilometers x 1900 kilometers. Image courtesy NASA/GSFC/LaRC/JPL, MISR Team.

  3. Karymsky volcano eruptive plume properties based on MISR multi-angle imagery and the volcanological implications

    NASA Astrophysics Data System (ADS)

    Flower, Verity J. B.; Kahn, Ralph A.

    2018-03-01

    Space-based operational instruments are in unique positions to monitor volcanic activity globally, especially in remote locations or where suborbital observing conditions are hazardous. The Multi-angle Imaging SpectroRadiometer (MISR) provides hyper-stereo imagery, from which the altitude and microphysical properties of suspended atmospheric aerosols can be derived. These capabilities are applied to plumes emitted at Karymsky volcano from 2000 to 2017. Observed plumes from Karymsky were emitted predominantly to an altitude of 2-4 km, with occasional events exceeding 6 km. MISR plume observations were most common when volcanic surface manifestations, such as lava flows, were identified by satellite-based thermal anomaly detection. The analyzed plumes predominantly contained large (1.28 µm effective radius), strongly absorbing particles indicative of ash-rich eruptions. Differences between the retrievals for Karymsky volcano's ash-rich plumes and the sulfur-rich plumes emitted during the 2014-2015 eruption of Holuhraun (Iceland) highlight the ability of MISR to distinguish particle types from such events. Observed plumes ranged from 30 to 220 km in length and were imaged at a spatial resolution of 1.1 km. Retrieved particle properties display evidence of downwind particle fallout, particle aggregation and chemical evolution. In addition, changes in plume properties retrieved from the remote-sensing observations over time are interpreted in terms of shifts in eruption dynamics within the volcano itself, corroborated to the extent possible with suborbital data. Plumes emitted at Karymsky prior to 2010 display mixed emissions of ash and sulfate particles. After 2010, all plumes contain consistent particle components, indicative of entering an ash-dominated regime. Post-2010 event timing, relative to eruption phase, was found to influence the optical properties of observed plume particles, with light absorption varying in a consistent sequence as each respective eruption phase progressed.

  4. Karymsky volcano eruptive plume properties based on MISR multi-angle imagery, and volcanological implications.

    PubMed

    Flower, Verity J B; Kahn, Ralph A

    2018-01-01

    Space-based, operational instruments are in unique positions to monitor volcanic activity globally, especially in remote locations or where suborbital observing conditions are hazardous. The Multi-angle Imaging SpectroRadiometer (MISR) provides hyper-stereo imagery, from which the altitude and microphysical properties of suspended atmospheric aerosols can be derived. These capabilities are applied to plumes emitted at Karymsky volcano from 2000 to 2017. Observed plumes from Karymsky were emitted predominantly to an altitude of 2-4 km, with occasional events exceeding 6 km. MISR plume observations were most common when volcanic surface manifestations, such as lava flows, were identified by satellite-based thermal anomaly detection. The analyzed plumes predominantly contained large (1.28 µm effective radius), strongly absorbing particles indicative of ash-rich eruptions. Differences between the retrievals for Karymsky volcano's ash-rich plumes and the sulfur-rich plumes emitted during the 2014-2015 eruption of Holuhraun (Iceland) highlight the ability of MISR to distinguish particle types from such events. Observed plumes ranged from 30 to 220 km in length, and were imaged at a spatial resolution of 1.1 km. Retrieved particle properties display evidence of downwind particle fallout, particle aggregation and chemical evolution. In addition, changes in plume properties retrieved from the remote-sensing observations over time are interpreted in terms of shifts in eruption dynamics within the volcano itself, corroborated to the extent possible with suborbital data. Plumes emitted at Karymsky prior to 2010 display mixed emissions of ash and sulfate particles. After 2010, all plumes contain consistent particle components, indicative of entering an ash-dominated regime. Post-2010 event timing, relative to eruption phase, was found to influence the optical properties of observed plume particles, with light-absorption varying in a consistent sequence as each respective eruption phase progressed.

  5. MISR Stereo Imaging Distinguishes Smoke from Cloud

    NASA Technical Reports Server (NTRS)

    2000-01-01

    These views of western Alaska were acquired by MISR on June 25, 2000 during Terra orbit 2775. The images cover an area of about 150 kilometers x 225 kilometers, and have been oriented with north to the left. The left image is from the vertical-viewing (nadir) camera, whereas the right image is a stereo 'anaglyph' that combines data from the forward-viewing 45-degree and 60-degree cameras. This image appears three-dimensional when viewed through red/blue glasses with the red filter over the left eye. It may help to darken the room lights when viewing the image on a computer screen.

    The Yukon River is seen wending its way from upper left to lower right. A forest fire in the Kaiyuh Mountains produced the long smoke plume that originates below and to the right of image center. In the nadir view, the high cirrus clouds at the top of the image and the smoke plume are similar in appearance, and the lack of vertical information makes them hard to differentiate. Viewing the righthand image with stereo glasses, on the other hand, demonstrates that the scene consists of several vertically-stratified layers, including the surface terrain, the smoke, some scattered cumulus clouds, and streaks of high, thin cirrus. This added dimensionality is one of the ways MISR data helps scientists identify and classify various components of terrestrial scenes.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  6. Identification of dust source regions and dust emission trends across North Africa and the Middle East using MISR satellite observations

    NASA Astrophysics Data System (ADS)

    Yu, Y.; Kalashnikova, O. V.; Garay, M. J.; Notaro, M.

    2017-12-01

    Global arid and semi-arid regions supply 1100 to 5000 Tg of Aeolian dust to the atmosphere each year, primarily from North Africa and secondarily from the Middle East. Previous dust source identification methods, based on either remotely-sensed aerosol optical depth (AOD) or dust activity, yield distinct dust source maps, largely due to the limitations in each method and remote-sensing product. Here we apply a novel motion-based method for dust source identification. Dust plume thickness and motion vectors from Multi-angle Imaging SpectroRadiometer (MISR) Cloud Motion Vector Product (CMVP) are examined to identify the regions with high frequency of fast moving-dust plumes, by season. According to MISR CMVP, Bodele depression is the most important dust source across North Africa, consistent with previous studies. Seasonal variability of dust emission across the North Africa is largely driven by climatology of wind and precipitation, featuring the influence of Sharav Cyclone and western African monsoon. In the Middle East, Iraq, Kuwait, and eastern Saudi Arabia are identified as dust source regions, especially during summer months, when the Middle Eastern Shamal wind is active. Furthermore, dust emission trend at each dust source are diagnosed from the motion-based dust source dataset. Increase in dust emission from the Fertile Crescent, Sahel, and eastern African dust sources are identified from MISR CMVP, implying potential contribution from these dust sources to the upward trend in AOD and dust AOD over the Middle East in the 21st century. By comparing with various dust source identification studies, we conclude that the motion-based identification of dust sources is an encouraging alternative and compliment to the AOD-only source identification method.

  7. A Cloud Hydrology and Albedo Synthesis Mission (CHASM)

    NASA Technical Reports Server (NTRS)

    Davies, Roger

    2004-01-01

    This slide presentation reviews the Cloud Hydrology and Albedo Synthesis Mission (CHASM). The interaction of clouds with radiation and the hydrological cycle represents a huge uncertainty in our understanding of climate science and the modeling of climate system feedbacks. Despite the recognized need for a unified treatment of cloud processes, the present global average values of remotely sensed cloud liquid water and theoretically accepted values used for cloud physics and precipitation modeling differ by an order of magnitude. This is due in part to sampling and saturation effects, as well as to threedimensional cloud structure effects. In recent work with the Multiangle Imaging SpectroRadiometer (MISR) on Terra, we have gained new insights as to how the remote sensing approach could be significantly improved using a new instrument that combines passive optical (visible and near infrared) and microwave measurements, both as pushbroom scanners with multiple viewing angles, to the degree that measurements of liquid water path over deep convective clouds over land also become possible. This instrument would also have the ability of measuring height-resolved cloud-tracked winds using a hyper stereo retrieval technique. Deployment into a precessing low earth orbit would be optimal for measuring diurnal cloud activity. We have explored an instrument design concept for this that looks promising if we can establish partnerships that provide launch and bus capabilities.

  8. Constraints on Smoke Injection Height, Source Strength, and Transports from MISR and MODIS

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.; Petrenko, Mariya; Val Martin, Maria; Chin, Mian

    2014-01-01

    The AeroCom BB (Biomass Burning) Experiment AOD (Aerosol Optical Depth) motivation: We have a substantial set of satellite wildfire plume AOD snapshots and injection heights to help calibrate model/inventory performance; We are 1) adding more fire source-strength cases 2) using MISR to improve the AOD constrains and 3) adding 2008 global injection heights; We selected GFED3-daily due to good overall source strength performance, but any inventory can be tested; Joint effort to test multiple, global models, to draw robust BB injection height and emission strength conclusions. We provide satellite-based injection height and smoke plume AOD climatologies.

  9. Ash from Kilauea Eruption Viewed by NASA's MISR

    NASA Image and Video Library

    2018-05-09

    On May 3, 2018, a new eruption began at a fissure of the Kilauea volcano on the Island of Hawaii. Kilauea is the most active volcano in the world, having erupted almost continuously since 1983. Advancing lava and dangerous sulfur dioxide gas have forced thousands of residents in the neighborhood of Leilani Estates to evacuate. A number of homes have been destroyed, and no one can say how soon the eruption will abate and evacuees can return home. On May 6, 2018, at approximately 11 a.m. local time, the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite captured this view of the island as it passed overhead. Much of the island was shrouded by clouds, including the fissure on its eastern point. However, an eruption plume is visible streaming southwest over the ocean. The MISR instrument is unique in that it has nine cameras that view Earth at different angles: one pointing downward, four at various angles in the forward direction, and four in the backward direction. This image shows the view from one of MISR's forward-pointing cameras (60 degrees), which shows the plume more distinctly than the near-vertical views. The information from the images acquired at different view angles is used to calculate the height of the plume, results of which are superimposed on the right-hand image. The top of the plume near the fissure is at approximately 6,500 feet (2,000 meters) altitude, and the height of the plume decreases as it travels south and west. These relatively low altitudes mean that the ash and sulfur dioxide remained near the ground, which can cause health issues for people on the island downwind of the eruption. The "Ocean View" air quality monitor operated by the Clean Air Branch of the State of Hawaii Department of Health recorded a concentration of 18 μg/m3 of airborne particles less than 2.5 micrometers in diameter at 11 a.m. local time. This amount corresponds to an air quality rating of "moderate" and supports the MISR results indicating that ash was most likely present at ground level on this side of the island. These data were acquired during Terra orbit 97780. An annotated version is available at https://photojournal.jpl.nasa.gov/catalog/PIA22451

  10. A Geostatistical Data Fusion Technique for Merging Remote Sensing and Ground-Based Observations of Aerosol Optical Thickness

    NASA Technical Reports Server (NTRS)

    Chatterjee, Abhishek; Michalak, Anna M.; Kahn, Ralph A.; Paradise, Susan R.; Braverman, Amy J.; Miller, Charles E.

    2010-01-01

    Particles in the atmosphere reflect incoming sunlight, tending to cool the Earth below. Some particles, such as soot, also absorb sunlight, which tens to warm the ambient atmosphere. Aerosol optical depth (AOD) is a measure of the amount of particulate matter in the atmosphere, and is a key input to computer models that simulate and predict Earth's changing climate. The global AOD products from the Multi-angle Imaging SpectroRadiometer (MISR) and the MODerate resolution Imaging Spectroradiometer (MODIS), both of which fly on the NASA Earth Observing System's Terra satellite, provide complementary views of the particles in the atmosphere. Whereas MODIS offers global coverage about four times as frequent as MISR, the multi-angle data makes it possible to separate the surface and atmospheric contributions to the observed top-of-atmosphere radiances, and also to more effectively discriminate particle type. Surface-based AERONET sun photometers retrieve AOD with smaller uncertainties than the satellite instruments, but only at a few fixed locations. So there are clear reasons to combine these data sets in a way that takes advantage of their respective strengths. This paper represents an effort at combining MISR, MODIS and AERONET AOD products over the continental US, using a common spatial statistical technique called kriging. The technique uses the correlation between the satellite data and the "ground-truth" sun photometer observations to assign uncertainty to the satellite data on a region-by-region basis. The larger fraction of the sun photometer variance that is duplicated by the satellite data, the higher the confidence assigned to the satellite data in that region. In the Western and Central US, MISR AOD correlation with AERONET are significantly higher than those with MODIS, likely due to bright surfaces in these regions, which pose greater challenges for the single-view MODIS retrievals. In the east, MODIS correlations are higher, due to more frequent sampling of the varying AOD. These results demonstrate how the MISR and MODIS aerosol products are complementary. The underlying technique also provides one method for combining these products in such a way that takes advantage of the strengths of each, in the places and times when they are maximal, and in addition, yields an estimate of the associated uncertainties in space and time.

  11. The Clouds of Isidore

    NASA Technical Reports Server (NTRS)

    2002-01-01

    These views of Hurricane Isidore were acquired by the Multi-angle Imaging SpectroRadiometer (MISR) on September 20, 2002. After bringing large-scale flooding to western Cuba, Isidore was upgraded (on September 21) from a tropical storm to a category 3hurricane. Sweeping westward to Mexico's Yucatan Peninsula, the hurricane caused major destruction and left hundreds of thousands of people homeless. Although weakened after passing over the Yucatan landmass, Isidore regained strength as it moved northward over the Gulf of Mexico.

    At left is a colorful visualization of cloud extent that superimposes MISR's radiometric camera-by-camera cloud mask (RCCM) over natural-color radiance imagery, both derived from data acquired with the instrument's vertical-viewing (nadir) camera. Using brightness and statistical metrics, the RCCM is one of several techniques MISR uses to determine whether an area is clear or cloudy. In this rendition, the RCCM has been color-coded, and purple = cloudy with high confidence, blue = cloudy with low confidence, green = clear with low confidence, and red = clear with high confidence.

    In addition to providing information on meteorological events, MISR's data products are designed to help improve our understanding of the influences of clouds on climate. Cloud heights and albedos are among the variables that govern these influences. (Albedo is the amount of sunlight reflected back to space divided by the amount of incident sunlight.) The center panel is the cloud-top height field retrieved using automated stereoscopic processing of data from multiple MISR cameras. Areas where heights could not be retrieved are shown in dark gray. In some areas, such as the southern portion of the image, the stereo retrieval was able to detect thin, high clouds that were not picked up by the RCCM's nadir view. Retrieved local albedo values for Isidore are shown at right. Generation of the albedo product is dependent upon observed cloud radiances as a function of viewing angle as well as the height field. Note that over the short distances (2.2 kilometers) that the local albedo product is generated, values can be greater than 1.0 due to contributions from cloud sides. Areas where albedo could not be retrieved are shown in dark gray.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously from pole to pole, and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbit 14669. The panels cover an area of about 380 kilometers x 704 kilometers, and utilize data from blocks 70 to 79within World Reference System-2 path 17.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  12. Follicle Depletion Provides a Permissive Environment for Ovarian Carcinogenesis

    PubMed Central

    Wang, Ying; Cai, Kathy Qi; Smith, Elizabeth R.; Yeasky, Toni M.; Moore, Robert; Ganjei-Azar, Parvin; Klein-Szanto, Andres J.; Godwin, Andrew K.; Hamilton, Thomas C.

    2016-01-01

    We modeled the etiology of postmenopausal biology on ovarian cancer risk using germ cell-deficient white-spotting variant (Wv) mice, incorporating oncogenic mutations. Ovarian cancer incidence is highest in peri- and postmenopausal women, and epidemiological studies have established the impact of reproductive factors on ovarian cancer risk. Menopause as a result of ovarian follicle depletion is thought to contribute to higher cancer risk. As a consequence of follicle depletion, female Wv mice develop ovarian tubular adenomas, a benign epithelial tumor corresponding to surface epithelial invaginations and papillomatosis frequently found in postmenopausal human ovaries. Lineage tracing using MISR2-Cre indicated that the tubular adenomas that developed in Wv mice were largely derived from the MISR2 lineage, which marked only a fraction of ovarian surface and oviduct epithelial cells in wild-type tissues. Deletion of p27, either heterozygous or homozygous, was able to convert the benign tubular adenomas into more proliferative tumors. Restricted deletion of p53 in Wv/Wv mice by either intrabursal injection of adenoviral Cre or inclusion of the MISR2-Cre transgene also resulted in augmented tumor growth. This finding suggests that follicle depletion provides a permissive ovarian environment for oncogenic transformation of epithelial cells, presenting a mechanism for the increased ovarian cancer risk in postmenopausal women. PMID:27354067

  13. Seasonal Bias of Retrieved Ice Cloud Optical Properties Based on MISR and MODIS Measurements

    NASA Astrophysics Data System (ADS)

    Wang, Y.; Hioki, S.; Yang, P.; Di Girolamo, L.; Fu, D.

    2017-12-01

    The precise estimation of two important cloud optical and microphysical properties, cloud particle optical thickness and cloud particle effective radius, is fundamental in the study of radiative energy budget and hydrological cycle. In retrieving these two properties, an appropriate selection of ice particle surface roughness is important because it substantially affects the single-scattering properties. At present, using a predetermined ice particle shape without spatial and temporal variations is a common practice in satellite-based retrieval. This approach leads to substantial uncertainties in retrievals. The cloud radiances measured by each of the cameras of the Multi-angle Imaging SpectroRadiometer (MISR) instrument are used to estimate spherical albedo values at different scattering angles. By analyzing the directional distribution of estimated spherical albedo values, the degree of ice particle surface roughness is estimated. With an optimal degree of ice particle roughness, cloud optical thickness and effective radius are retrieved based on a bi-spectral shortwave technique in conjunction with two Moderate Resolution Imaging Spectroradiometer (MODIS) bands centered at 0.86 and 2.13 μm. The seasonal biases of retrieved cloud optical and microphysical properties, caused by the uncertainties in ice particle roughness, are investigated by using one year of MISR-MODIS fused data.

  14. Desert Dust Aerosol Air Mass Mapping in the Western Sahara, Using Particle Properties Derived from Space-Based Multi-Angle Imaging

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph; Petzold, Andreas; Wendisch, Manfred; Bierwirth, Eike; Dinter, Tilman; Esselborn, Michael; Fiebig, Marcus; Heese, Birgit; Knippertz, Peter; Mueller, Detlef; hide

    2008-01-01

    Coincident observations made over the Moroccan desert during the Sahara mineral dust experiment (SAMUM) 2006 field campaign are used both to validate aerosol amount and type retrieved from multi-angle imaging spectroradiometer (MISR) observations, and to place the suborbital aerosol measurements into the satellite s larger regional context. On three moderately dusty days during which coincident observations were made, MISR mid-visible aerosol optical thickness (AOT) agrees with field measurements point-by-point to within 0.05 0.1. This is about as well as can be expected given spatial sampling differences; the space-based observations capture AOT trends and variability over an extended region. The field data also validate MISR s ability to distinguish and to map aerosol air masses, from the combination of retrieved constraints on particle size, shape and single-scattering albedo. For the three study days, the satellite observations (1) highlight regional gradients in the mix of dust and background spherical particles, (2) identify a dust plume most likely part of a density flow and (3) show an aerosol air mass containing a higher proportion of small, spherical particles than the surroundings, that appears to be aerosol pollution transported from several thousand kilometres away.

  15. MISR Looks at Cape Cod

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Each year in late November the United States observes the Thanksgiving holiday, commemorating the harvest festival celebrated by the Plymouth colonists and the Native Americans who helped them survive the devastating winter of 1620. Plymouth, Massachusetts, where the Mayflower Pilgrims landed, is located on the west side of Cape Cod Bay, shown in this MISR vertical-viewing (nadir) camera image. This nearly cloud-free picture was acquired on April 13, 2000 during Terra orbit 1708.

    South of the distinctively-shaped Cape Cod are Nantucket Island and Martha's Vineyard. Further west is Block Island, south of Narragansett Bay, Rhode Island. Montauk Point on the eastern tip of Long Island, New York, is visible at the lower left. On the mainland, Providence and Boston appear as gray patches. Jutting out from the Massachusetts coastline, northeast of Boston, is Cape Ann, location of the city of Gloucester, which was settled soon after the Pilgrim's arrival in Plymouth. Gloucester is the oldest fishing port in the eastern United States.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  16. Desert Dust Air Mass Mapping in the Western Sahara, using Particle Properties Derived from Space-based Multi-angle Imaging

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph; Petzold, Andreas; Wendisch, Manfred; Bierwirth, Eike; Dinter, Tilman; Fiebig, Marcus; Schladitz, Alexander; von Hoyningen-Huene, Wolfgang

    2008-01-01

    Coincident observations made over the Moroccan desert during the SAhara Mineral dUst experiMent (SAMUM) 2006 field campaign are used both to validate aerosol amount and type retrieved from Multi-angle Imaging SpectroRadiometer (MISR) observations, and to place the sub-orbital aerosol measurements into the satellite's larger regional context. On three moderately dusty days for which coincident observations were made, MISR mid-visible aerosol optical thickness (AOT) agrees with field measurements point-by-point to within 0.05 to 0.1. This is about as well as can be expected given spatial sampling differences; the space-based observations capture AOT trends and variability over an extended region. The field data also validate MISR's ability to distinguish and to map aerosol air masses, from the combination of retrieved constraints on particle size, shape, and single-scattering albedo. For the three study days, the satellite observations (a) highlight regional gradients in the mix of dust and background spherical particles, (b) identify a dust plume most likely part of a density flow, and (c) show an air mass containing a higher proportion of small, spherical particles than the surroundings, that appears to be aerosol pollution transported from several thousand kilometers away.

  17. Eyjafjallajokull Volcano Plume Particle-Type Characterization from Space-Based Multi-angle Imaging

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.; Limbacher, James

    2012-01-01

    The Multi-angle Imaging SpectroRadiometer (MISR) Research Aerosol algorithm makes it possible to study individual aerosol plumes in considerable detail. From the MISR data for two optically thick, near-source plumes from the spring 2010 eruption of the Eyjafjallaj kull volcano, we map aerosol optical depth (AOD) gradients and changing aerosol particle types with this algorithm; several days downwind, we identify the occurrence of volcanic ash particles and retrieve AOD, demonstrating the extent and the limits of ash detection and mapping capability with the multi-angle, multi-spectral imaging data. Retrieved volcanic plume AOD and particle microphysical properties are distinct from background values near-source, as well as for overwater cases several days downwind. The results also provide some indication that as they evolve, plume particles brighten, and average particle size decreases. Such detailed mapping offers context for suborbital plume observations having much more limited sampling. The MISR Standard aerosol product identified similar trends in plume properties as the Research algorithm, though with much smaller differences compared to background, and it does not resolve plume structure. Better optical analogs of non-spherical volcanic ash, and coincident suborbital data to validate the satellite retrieval results, are the factors most important for further advancing the remote sensing of volcanic ash plumes from space.

  18. Flooding in the Aftermath of Hurricane Katrina

    NASA Technical Reports Server (NTRS)

    2005-01-01

    These views of the Louisiana and Mississippi regions were acquired before and one day after Katrina made landfall along the Gulf of Mexico coast, and highlight many of the changes to the rivers and vegetation that occurred between the two views. The images were acquired by NASA's Multi-angle Imaging SpectroRadiometer (MISR) on August 14 and August 30, 2005. These multiangular, multispectral false-color composites were created using red band data from MISR's 46o backward and forward-viewing cameras, and near-infrared data from MISR's nadir camera. Such a display causes water bodies and inundated soil to appear in blue and purple hues, and highly vegetated areas to appear bright green. The scene differentiation is a result of both spectral effects (living vegetation is highly reflective at near-infrared wavelengths whereas water is absorbing) and of angular effects (wet surfaces preferentially forward scatter sunlight). The two images were processed identically and extend from the regions of Greenville, Mississippi (upper left) to Mobile Bay, Alabama (lower right).

    There are numerous rivers along the Mississippi coast that were not apparent in the pre-Katrina image; the most dramatic of these is a new inlet in the Pascagoula River that was not apparent before Katrina. The post-Katrina flooding along the edges of Lake Pontchartrain and the city of New Orleans is also apparent. In addition, the agricultural lands along the Mississippi floodplain in the upper left exhibit stronger near-infrared brightness before Katrina. After Katrina, many of these agricultural areas exhibit a stronger signal to MISR's oblique cameras, indicating the presence of inundated soil throughout the floodplain. Note that clouds appear in a different spot for each view angle due to a parallax effect resulting from their height above the surface.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously, viewing the entire globe between 82o north and 82o south latitude every nine days. Each image covers an area of about 380 kilometers by 410 kilometers. The data products were generated from a portion of the imagery acquired during Terra orbits 30091 and 30324 and utilize data from blocks 64-67 within World Reference System-2 path 22.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is managed for NASA by the California Institute of Technology.

  19. Multi-layer Clouds Over the South Indian Ocean

    NASA Technical Reports Server (NTRS)

    2003-01-01

    The complex structure and beauty of polar clouds are highlighted by these images acquired by the Multi-angle Imaging SpectroRadiometer (MISR) on April 23, 2003. These clouds occur at multiple altitudes and exhibit a noticeable cyclonic circulation over the Southern Indian Ocean, to the north of Enderbyland, East Antarctica.

    The image at left was created by overlying a natural-color view from MISR's downward-pointing (nadir) camera with a color-coded stereo height field. MISR retrieves heights by a pattern recognition algorithm that utilizes multiple view angles to derive cloud height and motion. The opacity of the height field was then reduced until the field appears as a translucent wash over the natural-color image. The resulting purple, cyan and green hues of this aesthetic display indicate low, medium or high altitudes, respectively, with heights ranging from less than 2 kilometers (purple) to about 8 kilometers (green). In the lower right corner, the edge of the Antarctic coastline and some sea ice can be seen through some thin, high cirrus clouds.

    The right-hand panel is a natural-color image from MISR's 70-degree backward viewing camera. This camera looks backwards along the path of Terra's flight, and in the southern hemisphere the Sun is in front of this camera. This perspective causes the cloud-tops to be brightly outlined by the sun behind them, and enhances the shadows cast by clouds with significant vertical structure. An oblique observation angle also enhances the reflection of light by atmospheric particles, and accentuates the appearance of polar clouds. The dark ocean and sea ice that were apparent through the cirrus clouds at the bottom right corner of the nadir image are overwhelmed by the brightness of these clouds at the oblique view.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously from pole to pole, and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbit 17794. The panels cover an area of 335 kilometers x 605 kilometers, and utilize data from blocks 142 to 145 within World Reference System-2 path 155.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  20. April Showers Bring May Flowers to the Southern United States

    NASA Technical Reports Server (NTRS)

    2004-01-01

    Vigorous vegetation growth in the Southern United States after heavy rains fell during April and early May, 2004, is quantified in these images and data products from the Multi-angle Imaging SpectroRadiometer (MISR). The images were acquired on April 1 (top set) and May 3 (bottom set), and extend through Kansas and Missouri, Oklahoma and Arkansas, and eastern Texas, with the Texas-Louisiana border at the bottom right-hand corner.

    The left-hand images are natural-color views from MISR's nadir camera. In the month between the April and May images, the overall greenness is enhanced, and the Boston and Ouachita Mountains are transformed from brownish hues to vivid green. The city of Dallas, Texas, appears as the pale gray area at lower left and the Red River (which corresponds with the Texas-Oklahoma border) is apparent as the yellowish feature flowing toward the lower left-hand edge. Scattered clouds appear in the upper right-hand corners of both images. Quantitative values for the vegetation changes are provided by the center and right-hand images. The middle panels show Leaf Area Index (LAI), or the area of leaves per unit area of ground below them, as measured from above. The right-hand panels show FPAR, which is the fraction of the photosynthetically active region (PAR) of visible light (400 - 700 nm) absorbed by green vegetation. LAI and FPAR are two important quantities for monitoring the photosynthetic activity and carbon uptake efficiency of live vegetation. MISR's LAI and FPAR products make use of aerosol retrievals to correct for atmospheric scattering and absorption effects, and use plant canopy structural models to determine the partitioning of solar radiation. Both of these aspects are facilitated by the multiangular nature of the MISR measurements.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbits 22810 and 23276. The panels cover an area of about 380 kilometers x 704 kilometers, and utilize data from blocks 61 to 65 within World Reference System-2 path 26.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  1. A multi-sensor lidar, multi-spectral and multi-angular approach for mapping canopy height in boreal forest regions

    USGS Publications Warehouse

    Selkowitz, David J.; Green, Gordon; Peterson, Birgit E.; Wylie, Bruce

    2012-01-01

    Spatially explicit representations of vegetation canopy height over large regions are necessary for a wide variety of inventory, monitoring, and modeling activities. Although airborne lidar data has been successfully used to develop vegetation canopy height maps in many regions, for vast, sparsely populated regions such as the boreal forest biome, airborne lidar is not widely available. An alternative approach to canopy height mapping in areas where airborne lidar data is limited is to use spaceborne lidar measurements in combination with multi-angular and multi-spectral remote sensing data to produce comprehensive canopy height maps for the entire region. This study uses spaceborne lidar data from the Geosciences Laser Altimeter System (GLAS) as training data for regression tree models that incorporate multi-angular and multi-spectral data from the Multi-Angle Imaging Spectroradiometer (MISR) and the Moderate Resolution Imaging SpectroRadiometer (MODIS) to map vegetation canopy height across a 1,300,000 km2 swath of boreal forest in Interior Alaska. Results are compared to in situ height measurements as well as airborne lidar data. Although many of the GLAS-derived canopy height estimates are inaccurate, applying a series of filters incorporating both data associated with the GLAS shots as well as ancillary data such as land cover can identify the majority of height estimates with significant errors, resulting in a filtered dataset with much higher accuracy. Results from the regression tree models indicate that late winter MISR imagery acquired under snow-covered conditions is effective for mapping canopy heights ranging from 5 to 15 m, which includes the vast majority of forests in the region. It appears that neither MISR nor MODIS imagery acquired during the growing season is effective for canopy height mapping, although including summer multi-spectral MODIS data along with winter MISR imagery does appear to provide a slight increase in the accuracy of resulting height maps. The finding that winter, snow-covered MISR imagery can be used to map canopy height is important because clear sky days are nearly three times as common during the late winter period as during the growing season. The increased odds of acquiring cloud-free imagery during the target acquisition period make regularly updated forest height inventories for Interior Alaska much more feasible. A major advantage of the GLAS–MISR–MODIS canopy height mapping methodology described here is that this approach uses only data that is freely available worldwide, making the approach potentially applicable across the entire circumpolar boreal forest region.

  2. Reflections on current and future applications of multiangle imaging to aerosol and cloud remote sensing

    NASA Astrophysics Data System (ADS)

    Diner, David

    2010-05-01

    The Multi-angle Imaging SpectroRadiometer (MISR) instrument has been collecting global Earth data from NASA's Terra satellite since February 2000. With its 9 along-track view angles, 4 spectral bands, intrinsic spatial resolution of 275 m, and stable radiometric and geometric calibration, no instrument that combines MISR's attributes has previously flown in space, nor is there is a similar capability currently available on any other satellite platform. Multiangle imaging offers several tools for remote sensing of aerosol and cloud properties, including bidirectional reflectance and scattering measurements, stereoscopic pattern matching, time lapse sequencing, and potentially, optical tomography. Current data products from MISR employ several of these techniques. Observations of the intensity of scattered light as a function of view angle and wavelength provide accurate measures of aerosol optical depths (AOD) over land, including bright desert and urban source regions. Partitioning of AOD according to retrieved particle classification and incorporation of height information improves the relationship between AOD and surface PM2.5 (fine particulate matter, a regulated air pollutant), constituting an important step toward a satellite-based particulate pollution monitoring system. Stereoscopic cloud-top heights provide a unique metric for detecting interannual variability of clouds and exceptionally high quality and sensitivity for detection and height retrieval for low-level clouds. Using the several-minute time interval between camera views, MISR has enabled a pole-to-pole, height-resolved atmospheric wind measurement system. Stereo imagery also makes possible global measurement of the injection heights and advection speeds of smoke plumes, volcanic plumes, and dust clouds, for which a large database is now available. To build upon what has been learned during the first decade of MISR observations, we are evaluating algorithm updates that not only refine retrieval accuracies but also include enhancements (e.g., finer spatial resolution) that would have been computationally prohibitive just ten years ago. In addition, we are developing technological building blocks for future sensors that enable broader spectral coverage, wider swath, and incorporation of high-accuracy polarimetric imaging. Prototype cameras incorporating photoelastic modulators have been constructed. To fully capitalize on the rich information content of the current and next-generation of multiangle imagers, several algorithmic paradigms currently employed need to be re-examined, e.g., the use of aerosol look-up tables, neglect of 3-D effects, and binary partitioning of the atmosphere into "cloudy" or "clear" designations. Examples of progress in algorithm and technology developments geared toward advanced application of multiangle imaging to remote sensing of aerosols and clouds will be presented.

  3. California Fires

    Atmospheric Science Data Center

    2014-05-15

    ...     View Larger Image Lightning strikes sparked more than a thousand fires in northern California. This image was captured by the Multi-angle Imaging SpectroRadiometer (MISR) instrument's nadir ...

  4. Sensitivity of Aerosol Multi-Sensor Daily Data Intercomparison to the Level 3 Dataday Definition

    NASA Technical Reports Server (NTRS)

    Leptoukh, Gregory; Lary, David; Shen, Suhung; Lynnes, Christopher

    2010-01-01

    Topics include: why people use Level 3 products, why someone might go wrong with Level 3 products, differences in L3 from different sensors, Level 3 data day definition, MODIS vs. MODIS, AOD MODIS Terra vs. Aqua in Pacific, AOD Aqua MODIS vs. MISR correlation map, MODIS vs MISR on Terra, MODIS atmospheric data day definition, orbit time difference for Terra and Aqua 2009-01-06, maximum time difference for Terra (Calendar day), artifact explains, data day definitions, local time distribution, spatial (local time) data day definition, maximum time difference between Terra and Aqua, Removing the artifact in 16-day AOD correlation, MODIS cloud top pressure, and MODIS Terra and Aqua vs. AIRS cloud top pressure.

  5. MISBR

    Atmospheric Science Data Center

    2016-08-22

    MISBR MISR Browse Data: Color browse image of the Ellipsoid product for each camera resampled to 2.2 km resolution. ... Tool:  Order Data Readme Files:  Processing Status Production Report Read Software ...

  6. MIL3DAE

    Atmospheric Science Data Center

    2018-04-19

    ... Earthdata Search   Parameters:  Average aerosol optical depth Order Data:  MISR Order Tool:  Order ... Readme Files:  Processing Status:  Aerosol/Land Production Report:  Daily Read Software ...

  7. Florida

    Atmospheric Science Data Center

    2014-05-15

    ... eastern (Atlantic) coast, partially obscured by clouds, are Palm Beach, Fort Lauderdale, and Miami. Further to the east, the shallow waters ... MISR category:  gallery date:  Oct 18, 2000 Images:  Florida ...

  8. Exploring Climatology and Long-Term Variations of Aerosols from NASA Reanalysis MERRA-2 with Giovanni

    NASA Technical Reports Server (NTRS)

    Shen, Suhung; Ostrenga, Dana; Vollmer, Bruce; Li, Zhanqing

    2016-01-01

    Dust plays important roles in energy cycle and climate variations. The dust deposition is the major source of iron in the open ocean, which is an essential micronutrient for phytoplankton growth and therefore may influence the ocean uptake of atmospheric CO2. Mineral dust can also act as fertilizer for forests over long time periods. Over 35 years of simulated global aerosol products from NASA atmospheric reanalysis, second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) are available from NASA Goddard Earth Science Data and Information Services Center (GES DISC). The MERRA-2 covers the period 1980-present, continuing as an ongoing climate analysis. Aerosol assimilation is included throughout the period, using MODIS, MISR, AERONET, and AVHRR (in the pre-EOS period). The aerosols are assimilated by using MERRA-2 aerosol model, which interact directly with the radiation parameterization, and radiatively coupled with atmospheric model dynamics in the Goddard Earth Observing System Model, Version 5 (GEOS-5). Dust deposition data along with other major aerosol compositions (e.g. black carbon, sea salt, and sulfate, etc.) are simulated as dry and wet deposition, respectively. The hourly and monthly data are available at spatial resolution of 0.5ox0.625o (latitude x longitude). Quick data exploration of climatology and interannual variations of MERRA-2 aerosol can be done through the online visualization and analysis tool, Giovanni. This presentation, using dust deposition as an example, demonstrates a number of MERRA-2 data services at GES DISC. Global distributions of dust depositions, and their seasonal and inter-annual variations are investigated from MERRA-2 monthly aerosol products.

  9. Sensitivity analysis of observed reflectivity to ice particle surface roughness using MISR satellite observations

    NASA Astrophysics Data System (ADS)

    Bell, A.; Hioki, S.; Wang, Y.; Yang, P.; Di Girolamo, L.

    2016-12-01

    Previous studies found that including ice particle surface roughness in forward light scattering calculations significantly reduces the differences between observed and simulated polarimetric and radiometric observations. While it is suggested that some degree of roughness is desirable, the appropriate degree of surface roughness to be assumed in operational cloud property retrievals and the sensitivity of retrieval products to this assumption remains uncertain. In an effort to extricate this ambiguity, we will present a sensitivity analysis of space-borne multi-angle observations of reflectivity, to varying degrees of surface roughness. This process is two fold. First, sampling information and statistics of Multi-angle Imaging SpectroRadiometer (MISR) sensor data aboard the Terra platform, will be used to define the most coming viewing observation geometries. Using these defined geometries, reflectivity will be simulated for multiple degrees of roughness using results from adding-doubling radiative transfer simulations. Sensitivity of simulated reflectivity to surface roughness can then be quantified, thus yielding a more robust retrieval system. Secondly, sensitivity of the inverse problem will be analyzed. Spherical albedo values will be computed by feeding blocks of MISR data comprising cloudy pixels over ocean into the retrieval system, with assumed values of surface roughness. The sensitivity of spherical albedo to the inclusion of surface roughness can then be quantified, and the accuracy of retrieved parameters can be determined.

  10. Trend analysis of the aerosol optical depth from fusion of MISR and MODIS retrievals over China

    NASA Astrophysics Data System (ADS)

    Guo, Jing; Gu, Xingfa; Yu, Tao; Cheng, Tianhai; Chen, Hao

    2014-03-01

    Atmospheric aerosol plays an important role in the climate change though direct and indirect processes. In order to evaluate the effects of aerosols on climate, it is necessary to have a research on their spatial and temporal distributions. Satellite aerosol remote sensing is a developing technology that may provide good temporal sampling and superior spatial coverage to study aerosols. The Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR) have provided aerosol observations since 2000, with large coverage and high accuracy. However, due to the complex surface, cloud contamination, and aerosol models used in the retrieving process, the uncertainties still exist in current satellite aerosol products. There are several observed differences in comparing the MISR and MODIS AOD data with the AERONET AOD. Combing multiple sensors could reduce uncertainties and improve observational accuracy. The validation results reveal that a better agreement between fusion AOD and AERONET AOD. The results confirm that the fusion AOD values are more accurate than single sensor. We have researched the trend analysis of the aerosol properties over China based on nine-year (2002-2010) fusion data. Compared with trend analysis in Jingjintang and Yangtze River Delta, the accuracy has increased by 5% and 3%, respectively. It is obvious that the increasing trend of the AOD occurred in Yangtze River Delta, where human activities may be the main source of the increasing AOD.

  11. Characteristics of Borneo and Sumatra fire plume heights and smoke clouds and their impact on regional El Niño-induced drought

    NASA Astrophysics Data System (ADS)

    Tosca, Michael; Randerson, James; Zender, Cs; Flanner, Mg; Nelson, Dl; Diner, Dj; Rasch, Pj; Logan, Ja

    2010-05-01

    During the dry season, anthropogenic fires in tropical forests and peatlands in equatorial Asia produce regionally expansive smoke clouds. We estimated the altitude of smoke clouds from these fires, characterized the sensitivity of these clouds to regional drought and El Niño variability, and investigated their effect on climate. We used the MISR satellite product and MISR INteractive eXplorer (MINX) software to estimate the heights of 382 smoke plumes (smoke with a visible surface source and transport direction) on Borneo and 143 plumes on Sumatra for 2001—2009. In addition, we estimated the altitudes of 10 smoke clouds (opaque regions of smoke with no detectable surface source or transport direction) on Borneo during 2006. Most smoke plumes (84%) were observed during El Niño events (2002, 2004, 2006, and 2009); this is consistent with higher numbers of active fire detections and larger aerosol optical depths observed during El Niño years. Annually averaged plume heights on Borneo were positively correlated to the Oceanic Niño Index (ONI), an indicator of El Niño (r2 = 0.53), and the mean plume height for all El Niño years was 772.5 ± 15.9m, compared to 711.4 ± 28.7m for non-El Niño years. The median altitude of the 10 smoke clouds observed on Borneo during 2006 was 1313m, considerably higher than the median of nearby smoke plumes (787m). The difference in height between individual plumes and regional smoke clouds may be related to deeper planetary boundary layers and injection heights later in the afternoon (after the 10:30am MISR overpass) or other atmospheric mixing processes that occur on synoptic timescales. We investigated the climate response to these expansive smoke clouds using the Community Atmosphere Model (CAM). Climate responses to smoke from two 30 year simulations were compared: one simulation was forced with fire emissions typical of a dry (El Niño) burning year, while the other was forced with emissions typical of a low (La Niña) burning year. Fire aerosols reduced net shortwave radiation at the surface during August-October by an average of 10% in the region encompassing most of Sumatra and Borneo (90°E-120°E, 5° S-5°N). The reductions in net radiation cooled both sea surface temperature (0.5 ± 0.3°C) and land air temperature (0.4 ± 0.2°C) during these months. Tropospheric heating from black carbon (BC) absorption increased substantially (20.5 ± 9.3 W m-2) and was balanced by an overall reduction in latent heating in the mid-troposphere. The combination of decreased SSTs and increased atmospheric heating reduced regional precipitation by 0.9 ± 0.6 mm d-1 (10%). The vulnerability of ecosystems to fire was enhanced because the decreases in precipitation exceeded those for evapotranspiration. Together, the satellite and modeling results imply a possible positive feedback loop in which anthropogenic burning in the region intensifies drought stress during El Niño.

  12. MISR Thumbnail Index

    Atmospheric Science Data Center

    2014-08-01

    ... launched into sun-synchronous polar orbit aboard Terra, NASA's first Earth Observing System (EOS) spacecraft, on December 18, 1999. ... Atlantic Ocean Gulf of Mexico Indian Ocean Pacific Ocean         ...

  13. MISR Level 2 TOA/Cloud Versioning

    Atmospheric Science Data Center

    2017-10-11

    ... public release. Add trap singular matrix condition. Add test for invalid look vectors. Use different metadata to test for validity of time tags. Fix incorrectly addressed array. Introduced bug ...

  14. Gulf Coast Wetlands

    Atmospheric Science Data Center

    2014-05-15

    article title:  Wetlands of the Gulf Coast     View Larger Image ... SpectroRadiometer (MISR) highlights coastal areas of four states along the Gulf of Mexico: Louisiana, Mississippi, Alabama and part of ...

  15. Russia

    Atmospheric Science Data Center

    2013-04-16

    article title:  Smoke and Clouds over Russia     View Larger Image ... of Multi-angle Imaging SpectroRadiometer (MISR) images of Russia's far east Khabarovsk region. The images were acquired on May 13, 2001 ...

  16. Steps Toward an EOS-Era Aerosol Air Mass Type Climatology

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.

    2012-01-01

    We still have a way to go to develop a global climatology of aerosol type from the EOS-era satellite data record that currently spans more than 12 years of observations. We have demonstrated the ability to retrieve aerosol type regionally, providing a classification based on the combined constraints on particle size, shape, and single-scattering albedo (SSA) from the MISR instrument. Under good but not necessarily ideal conditions, the MISR data can distinguish three-to-five size bins, two-to-four bins in SSA, and spherical vs. non-spherical particles. However, retrieval sensitivity varies enormously with scene conditions. So, for example, there is less information about aerosol type when the mid-visible aerosol optical depth (AOD) is less that about 0.15 or 0.2.

  17. Growing Crack in Antarctica Larsen C Ice Shelf Spotted by NASA MISR

    NASA Image and Video Library

    2016-08-31

    Project MIDAS, a United Kingdom-based group that studies the Larsen Ice Shelf in Antarctica, reported Aug. 18, 2016, that a large crack in the Larsen C shelf has grown by another 13 miles (22 kilometers) in the past six months. The crack is now more than 80 miles (130 kilometers) long. Larsen C is the fourth largest ice shelf in Antarctica, with an area of about 19,300 square miles (50,000 square kilometers), greater than the size of Maryland. Computer modeling by Project MIDAS predicts that the crack will continue to grow and eventually cause between nine and twelve percent of the ice shelf to collapse, resulting in the loss of 2,300 square miles (6,000 square kilometers) of ice -- more than the area of Delaware. This follows the collapse of the Larsen B shelf in 2002 and the Larsen A shelf in 1995, which removed about 1,255 square miles (3,250 square kilometers) and 580 square miles (1,500 square kilometers) of ice, respectively. The Multiangle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite flew over Larsen C on Aug. 22, 2016. The MISR instrument views Earth with nine cameras pointed at different angles, which provides information about the texture of the surface. On the left is a natural-color image of the shelf from MISR's vertical-viewing camera. Antarctica is slowly emerging from its polar night, and the low light gives the scene a bluish tint. The Larsen C shelf is on the left, while thinner sea ice is present on the right. A variety of cracks are visible in the Larsen C shelf, all appearing roughly the same. The image is about 130 by 135 miles (210 by 220 kilometers) in size. On the right is a composite image made by combining data from MISR's 46-degree backward-pointing camera (plotted as blue), the vertical-pointing camera (plotted as green), and the 46-degree forward-pointing camera (plotted as red). This has the effect of highlighting surface roughness; smooth surfaces appear as blue-purple, while rough surfaces appear as orange. Clouds near the upper left appear multi-hued because their elevation above the surface causes the different angular views to be slightly displaced. In this composite, the difference between the rough sea ice and the smoother ice shelf is immediately apparent. An examination of the cracks in the ice shelf shows that the large crack Project MIDAS is tracking (indicated by an arrow) is orange in color, demonstrating that it is actively growing. These data were acquired during Terra orbit 88717 http://photojournal.jpl.nasa.gov/catalog/PIA20894

  18. Fire in the Land of 100,000 Lakes

    NASA Technical Reports Server (NTRS)

    2001-01-01

    Fire season in Manitoba, Canada lasts from April until October, and numerous smoke plumes caused by lightning strikes are captured in these Multi-angle Imaging SpectroRadiometer (MISR) views of the northwestern part of the province. The data were acquired on June 20, 2001 during Terra orbit 8015.

    On the left is a true-color image acquired by MISR's vertical-viewing (nadir) camera. The area covered measures 232 kilometers X 80 kilometers. The greenish area on the right-hand side of the image, partially obscured by clouds, is Southern Indian Lake. This landscape is predominantly boreal, and contains deciduous and evergreen conifer forests, deciduous broadleaved forests, fens, and lakes. Tree species found within the area include white and black spruce, jack pine, tamarack, willow, and birch. Human population density is sparse, averaging about 1 person per 10 square kilometers.

    During the fire season, information is updated daily on the Manitoba Conservation website (http://www.gov.mb.ca/natres/fire/). The large plume northwest of Big Sand Lake, above image center, was reported to be under control on June 20, whereas the plume at lower left, to the west of Gold Sand Lake, was classified 'out of control.' In the next two days, an additional 27 out-of-control fires in the area were started by lightning strikes arriving with as low-moving northerly cold front. By June 29, all but six of the fires had been brought under control.

    The picture on the right is a height field derived using automated computer processing of the data from several of MISR's cameras. The results indicate that the smoke plumes reach altitudes a few kilometers above the surface terrain, nearly as high as the cumulus cloud field in the lower right quadrant. The height retrievals make use of geometric parallax associated with observing the features at multiple angles. A few artifacts are visible in this early version of the MISR stereoscopic product, e.g., linear discontinuities in the elevation field, isolated elevation 'spikes' (appearing as red), and black areas where no result was obtained. Nevertheless, this first version of the algorithm, which is designed to operate autonomously and rapidly without human intervention, is doing a good job at detecting the smoke plumes and cloud field. Improvements are anticipated in the future. The product was generated as part of operational processing at the NASA Langley Atmospheric Sciences Data Center.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  19. Texas Fires

    Atmospheric Science Data Center

    2014-05-15

    ... one-year drought on record and the warmest month in Texas history. The Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra spacecraft passed over the wildfires at 12:05 p.m. CDT on ...

  20. CERES-MISR Info

    Atmospheric Science Data Center

    2013-05-20

    ... Surface Albedo Cloud Area Fraction Cloud Effective Pressure Cloud Effective Temperature Cloud Effective Height Cloud Top Pressure Cloud Base Pressure Cloud Particle Phase Liquid Water Path Ice Water Path Water Particle Radius Ice Particle ...

  1. Smoke from Station Fire Blankets Southern California

    NASA Image and Video Library

    2009-09-01

    The Multi-angle Imaging SpectroRadiometer MISR instrument on NASA Terra satellite captured this Aug. 30 image of smoke plumes from the Station and other wildfires burning throughout Southern California.

  2. Appalachian Mountains

    Atmospheric Science Data Center

    2014-05-15

    ...     View Larger Image Multi-angle views of the Appalachian Mountains, March 6, 2000 . ... Center Atmospheric Science Data Center in Hampton, VA. Photo credit: NASA/GSFC/LaRC/JPL, MISR Science Team Other formats ...

  3. MISR RCCM Products

    Atmospheric Science Data Center

    2017-10-11

    ... new inland water class for RCCM calculation and changed threshold and surface classification datasets accordingly. Modified land second ... 06/21/2000 First version of RCCM. Pre-launch threshold values are used. New ancillary files: ...

  4. Brazil The Duck Lagoon

    NASA Technical Reports Server (NTRS)

    2002-01-01

    This Multi-angle Imaging SpectroRadiometer (MISR) image of Brazil covers an area of about 298 kilometers x 358 kilometers, and was captured by the instrument's vertical-viewing (nadir) camera on December 27, 2001. The 'Lagoa dos Patos', in the Brazilian state of Rio Grande do Sul, translates to 'the Duck Lagoon'. It was named by 16th century Jesuit settlers, who asked the King of Spain to grant them title to the lagoon so that they could breed ducks. The King consented, but revoked his edict when he discovered that the 'duck-pond' (measuring about 14,000 square kilometers) was one of the largest lagoonal systems in the world. Note the sediment plume emanating from the southern end of the lagoon. Sailors in the 16th century imagined this outlet to be the mouth of a large river. Early Portuguese explorers mistook the entrance to the lagoon for the mouth of a great river and called it the Rio Grande. A series of wave-like points and curls form 'cusps' on the inner shores of the lagoon. The lagoon's characteristics change with short-term tide-induced cyclic perturbations, and with longer term large scale meteorological conditions. The distinctive wavelike 'cusps' along the inner shores result from the circulation, erosion and accumulation of sediments driven by wind and tidal action. The El Nino Southern Oscillation (ENSO) circulation affects precipitation amount and continental runoff, thereby changing the contents of the lagoon waters. High rainfall and increased freshwater discharge during El Nino events correspond with elevated dissolved nutrient concentrations and increased phytoplankton growth. La Nina years are dry and the associated low rainfall reduces the freshwater recharge to the lagoon, causing an increase in salinity. Occasional blooms of toxic cyanobacteria (Microcystis aeruginosa), have been registered in the lagoon when nutrient concentrations are elevated. A number of reeds and grasses are important to the lagoon estuary, including widgeon grass (Ruppia maritima) which reaches peak production during summer. Sea turtles (Chelonia mydas) can be found in the lagoon during spring and summer. Although the lowland tapir (Tapirus terrestris) is found in some parts of Rio Grande do Sul, the Baird's tapir (Tapirus bairdii), is not distributed within the image area (it is restricted to Central America). MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology. Image credit: NASA/GSFC/LaRC/JPL, MISR Team.

  5. Mystery #18

    Atmospheric Science Data Center

    2013-04-22

    ... pale tan area in the upper right are derived from marine fossil sediments that accumulated there over two million years ago. Partly ... available at JPL March 2004 - Wetlands and fossil sediments. project:  MISR category:  ...

  6. Global Aerosols

    Atmospheric Science Data Center

    2013-04-19

    ... latitude. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, ... acknowledgment: Clare Averill (Acro Service Corporation/Jet Propulsion Laboratory), Ralph Kahn (Jet Propulsion Laboratory), David J. Diner ...

  7. Extratropical Cyclone

    Atmospheric Science Data Center

    2013-04-16

    ... using data from multiple MISR cameras within automated computer processing algorithms. The stereoscopic algorithms used to generate ... NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed ...

  8. NASA MISR Spots Hurricane Hermine Approaching Florida

    NASA Image and Video Library

    2016-09-01

    On the afternoon of Sept. 1, 2016, Tropical Storm Hermine strengthened into a Category 1 hurricane as it approached the coast of Florida. Hermine began life as Tropical Depression Nine, originating off the coast of Cuba on Aug. 28. After heading northwest into the Gulf of Mexico, it took a right turn toward Florida and on Wednesday, Aug. 31, was upgraded to a tropical storm before strengthening to a hurricane a day later. Winds are currently sustained near 75 miles (121 kilometers) per hour, and the storm is expected to make landfall tonight or early tomorrow. Florida Governor Rick Scott has declared a state of emergency in 51 counties, while Georgia Governor Nathan Deal has done the same for 56 counties in his state. Localized flooding is already occurring in some areas of Florida, which has not had a direct landfall by a hurricane in 11 years. After moving across Florida and Georgia, the storm is currently forecast to continue northward along the coast of the Eastern seaboard. On Sept. 1, at 12:30 p.m. EDT, the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra spacecraft passed over the area. This natural-color image from MISR's vertical-pointing camera shows the large, loosely organized hurricane. At the time, the center of the storm was located about 200 miles (325 kilometers) to the west of Sarasota on the Florida coast. The image is 235 miles (378 kilometers) in width. Also included is a 3D stereo anaglyph, made by combining data from MISR's vertical-pointing and 46-degree forward-pointing camera. The image has been rotated so that north is to the left in order to enable stereo viewing. With the aid of red-blue glasses (with the red lens over the left eye), it is possible to observe the storm in three dimensions. Note the towering central thunderstorms around the eye in comparison to the low clouds visible within it. These data were acquired during Terra orbit 88865. http://photojournal.jpl.nasa.gov/catalog/PIA20898

  9. Hurricane Matthew over Haiti seen by NASA MISR

    NASA Image and Video Library

    2016-10-04

    On the morning of October 4, 2016, Hurricane Matthew passed over the island nation of Haiti. A Category 4 storm, it made landfall around 7 a.m. local time (5 a.m. PDT/8 a.m. EDT) with sustained winds over 145 mph. This is the strongest hurricane to hit Haiti in over 50 years. On October 4, at 10:30 a.m. local time (8:30 a.m. PDT/11:30 a.m. EDT), the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite passed over Hurricane Matthew. This animation was made from images taken by MISR's downward-pointing (nadir) camera is 235 miles (378 kilometers) across, which is much narrower than the massive diameter of Matthew, so only the hurricane's eye and a portion of the storm's right side are visible. Haiti is completely obscured by Matthew's clouds, but part of the Bahamas is visible to the north. Several hot towers are visible within the central part of the storm, and another at the top right of the image. Hot towers are enormous thunderheads that punch through the tropopause (the boundary between the lowest layer of the atmosphere, the troposphere, and the next level, the stratosphere). The rugged topography of Haiti causes uplift within the storm, generating these hot towers and fueling even more rain than Matthew would otherwise dump on the country. MISR has nine cameras fixed at different angles, which capture images of the same point on the ground within about seven minutes. This animation was created by blending images from these nine cameras. The change in angle between the images causes a much larger motion from south to north than actually exists, but the rotation of the storm is real motion. From this animation, you can get an idea of the incredible height of the hot towers, especially the one to the upper right. The counter-clockwise rotation of Matthew around its closed (cloudy) eye is also visible. These data were acquired during Terra orbit 89345. An animation is available at http://photojournal.jpl.nasa.gov/catalog/PIA21070

  10. California Sun Glint

    Atmospheric Science Data Center

    2014-05-15

    ... path 41. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, ... Text acknowledgment: Clare Averill (Raytheon ITSS / Jet Propulsion Laboratory), Mike Garay (Jet Propulsion Laboratory) and Dominic ...

  11. Waves on Ice

    Atmospheric Science Data Center

    2013-04-16

    article title:  Waves on White: Ice or Clouds?     View Larger ... like a wavy cloud pattern was actually a wavy pattern on the ice surface. One of MISR's cloud classification products, the Angular Signature ...

  12. Complex Clouds

    Atmospheric Science Data Center

    2013-04-16

    ... article title:  Multi-layer Clouds Over the South Indian Ocean     View Larger Image ... System-2 path 155. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  13. The Roiling Clouds of Katrina

    NASA Image and Video Library

    2005-08-31

    This anaglyph from the MISR instrument aboard NASA Terra spacecraft shows the strong convective development of Hurricane Katrina as it moved west through the Gulf of Mexico. 3D glasses are necessary to view this image.

  14. Global Composite

    Atmospheric Science Data Center

    2013-04-19

    article title:  MISR Global Images See the Light of Day     View Larger Image ... camera and combines data from the red, green and blue spectral bands to create a natural color image. The central view combines ...

  15. Ross Ice Shelf

    Atmospheric Science Data Center

    2013-04-16

    ... Larger Image According to researchers funded by the National Science Foundation, several penguin colonies near the Ross Ice Shelf, ... Hut Point Peninsula. For a press release from the National Science Foundation containing additional details and MISR imagery ...

  16. MISR ARCTAS Products

    Atmospheric Science Data Center

    2016-11-25

    ... Remote sensing, surface measurements and modeling of Climate, chemistry, Aerosols and Transport) campaigns for the International Polar Year, is aimed at learning more about the state of the Arctic atmosphere and reporting on the changes that have occurred ...

  17. Ross Sea

    Atmospheric Science Data Center

    2013-04-16

    article title:  Icebergs in the Ross Sea     View Larger Image Two ... (MISR) nadir camera view of the Ross Ice Shelf and Ross Sea in Antarctica. The image was acquired on December 10, 2000 during Terra ...

  18. Dust and Smoke

    Atmospheric Science Data Center

    2014-05-15

    ...     View Larger Image Desert dust particles tend to be larger in size than aerosols that originate ... for these two events. These MISR results distinguish desert dust, the most common non-spherical aerosol type, from pollution and ...

  19. New Zealand Southern Alps

    NASA Image and Video Library

    2001-06-20

    This anaglyph from the MISR instrument aboard NASA Terra spacecraft shows the rugged Southern Alps extending some 650 kilometers along the western side of New Zealand South Island. 3D glasses are necessary to view this image.

  20. Scandinavia

    Atmospheric Science Data Center

    2013-04-17

    ... Terrain Elevation Model from the United States Geological Survey. It is displayed in an equidistant conic projection. The image area ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  1. Okefenokee Swamp Fire, Georgia

    NASA Image and Video Library

    2002-05-22

    Large smoke plumes were produced by the Blackjack complex fire in southeastern Georgia Okefenokee Swamp as seen by the MISR instrument aboard NASA Terra spacecraft May 8, 2002. 3D glasses are necessary to view this image.

  2. Wyoming: Jackson Hole

    Atmospheric Science Data Center

    2014-05-15

    ... Park and Bridger-Teton National Forest Interagency Fire Management Office announced a high risk for the area. The Green Knoll blaze is ... July 27, 2001 - Green Knoll forest fire. project:  MISR category:  gallery Fires date:  ...

  3. MISR Featured Articles

    Atmospheric Science Data Center

    2017-09-14

    ... change, and ultraviolet rays. Following the World Trade Center plume  - Remote sensing helps track the drift of harmful pollutants following the World Trade Center collapse. Cloudy with a chance of Drizzle  - By analyzing ...

  4. Japan: Shikoku Island

    Atmospheric Science Data Center

    2016-08-24

    ... and island stations in the waters surrounding Japan and Korea. They characterized meteorological conditions, measured the atmospheric ... flew overhead. These MISR images, centered just north of Shikoku Island in southwest Japan, were acquired on April 13, 2001 ...

  5. MISR Views the Moon

    NASA Image and Video Library

    2003-04-16

    A special maneuver of NASA Terra spacecraft was performed as it traversed the nightside enabling a backward somersault of the spacecraft, allowing the normally Earth-viewing instruments to look at deep space and the waxing gibbous Moon.

  6. MISR Level 2 TOA/Cloud Versioning

    Atmospheric Science Data Center

    2017-10-11

    ... at this level. Software has been ported over to Linux. The Broadband Albedos have been fixed. New ancillary files: ... Difference Vectors implemented. Block Center Times for AN camera added to product. New ancillary files: ...

  7. Mystery #14

    Atmospheric Science Data Center

    2013-04-22

    ... play geographical detective! This natural-color image from the Multi-angle Imaging SpectroRadiometer (MISR) instrument on the Terra ... type of clouds pictured here are often associated with lightning and sustained rainstorms lasting several hours or more. 5. ...

  8. The Nile River

    NASA Technical Reports Server (NTRS)

    2002-01-01

    This image of the northern portion of the Nile River was captured by MISR's nadir camera on January 30, 2001 (Terra orbit 5956). The Nile is the longest river in the world, extending for about 6700 kilometers from its headwaters in the highlands of eastern Africa. At the apex of the fertile Nile River Delta is the Egyptian capital city of Cairo. To the west are the Great Pyramids of Giza. North of here the Nile branches into two distributaries, the Rosetta to the west and the Damietta to the east. Also visible in this image is the Suez Canal, a shipping waterway connecting Port Said on the Mediterranean Sea with the Gulf of Suez. The Gulf is an arm of the Red Sea, and is located on the righthand side of the picture. Image credit: NASA/GSFC/LaRC/JPL, MISR Team.

  9. Aerosol Remote Sensing from Space -- What We've Learned, Where We're Heading

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph

    2010-01-01

    The MISR and MODIS instruments aboard the NASA Earth Observing System's Terra Satellite have been collecting data containing information about the state of Earth's atmosphere and surface for over ten years. Among the retrieved quantities are amount and type of wildfire smoke, desert dust, volcanic effluent, urban and industrial pollution particles, and other aerosols. However, the broad scientific challenges of understanding aerosol impacts on climate and health place different, and very exacting demands on our measurement capabilities. And these data sets, though much more advanced in many respects than previous aerosol data records, are imperfect. In this presentation, I will summarize current understanding of MISR and MODIS aerosol product strengths and limitations, discuss how they relate to the bigger aerosol science questions we must address, and give my view of what we will need to do to progress.

  10. Aerosol Remote Sensing from Space - Where We Stand, Where We're Heading

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph

    2011-01-01

    The MISR and MODIS instruments aboard the NASA Earth Observing System's Terra Satellite have been collecting data containing information about the state of Earth's atmosphere and surface for over eleven years. Among the retrieved quantities are amount and type of wildfire smoke, desert dust, volcanic effluent, urban and industrial pollution particles, and other aerosols. However, the broad scientific challenges of understanding aerosol impacts on climate and health place different, and very exacting demands on our measurement capabilities. And these data sets, though much more advanced in many respects than previous aerosol data records, are imperfect. In this presentation, I will summarize current understanding of MISR and MODIS aerosol product strengths and limitations, discuss how they relate to the bigger aerosol science questions we must address, and give my view of the way forward.

  11. Aerosol Remote Sensing from Space - Where We Stand, Where We're Heading

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.

    2013-01-01

    The MISR and MODIS instruments aboard the NASA Earth Observing System's Terra Satellite have been collecting data containing information about the state of Earth's atmosphere and surface for over eleven years. Among the retrieved quantities are amount and type of wildfire smoke, desert dust, volcanic effluent, urban and industrial pollution particles, and other aerosols. However, the broad scientific challenges of understanding aerosol impacts on climate and health place different, and very exacting demands on our measurement capabilities. And these data sets, though much more advanced in many respects than previous aerosol data records, are imperfect. In this presentation, I will summarize current understanding of MISR and MODIS aerosol product strengths and limitations, discuss how they relate to the bigger aerosol science questions we must address, and give my view of the way forward.

  12. A Critical Examination of Spatial Biases Between MODIS and MISR Aerosol Products - Application for Potential AERONET Deployment

    NASA Technical Reports Server (NTRS)

    Shi, Y.; Zhang, J.; Reid, J. S.; Hyer, E. J.; Eck, T. F.; Holben, B. N.; Kahn, R. A.

    2011-01-01

    AErosol RObotic NETwork (AERONET) data are the primary benchmark for evaluating satellite-retrieved aerosol properties. However, despite its extensive coverage, the representativeness of the AERONET data is rarely discussed. Indeed, many studies have shown that satellite retrieval biases have a significant degree of spatial correlation that may be problematic for higher-level processes or inverse-emissions-modeling studies. To consider these issues and evaluate relative performance in regions of few surface observations, cross-comparisons between the Aerosol Optical Depth (AOD) products of operational MODIS Collection 5.1 Dark Target (DT) and operational MODIS Collection 5.1 Deep Blue (DB) with MISR version 22 were conducted. Through such comparisons, we can observe coherent spatial features of the AOD bias while side-stepping the full analysis required for determining when or where either retrieval is more correct. We identify regions where MODIS to MISR AOD ratios were found to be above 1.4 and below 0.7. Regions where lower boundary condition uncertainty is likely to be a dominant factor include portions of Western North America, the Andes mountains, Saharan Africa, the Arabian Peninsula, and Central Asia. Similarly, microphysical biases may be an issue in South America, and specific parts of Southern Africa, India Asia, East Asia, and Indonesia. These results help identify high-priority locations for possible future deployments of both in situ and ground based remote sensing measurements. The Supplement includes a km1 file.

  13. Sustained NFκB inhibition improves insulin sensitivity but is detrimental to muscle health.

    PubMed

    Zhang, Ning; Valentine, Joseph M; Zhou, You; Li, Mengyao E; Zhang, Yiqiang; Bhattacharya, Arunabh; Walsh, Michael E; Fischer, Katherine E; Austad, Steven N; Osmulski, Pawel; Gaczynska, Maria; Shoelson, Steven E; Van Remmen, Holly; Chen, Hung I; Chen, Yidong; Liang, Hanyu; Musi, Nicolas

    2017-08-01

    Older adults universally suffer from sarcopenia and approximately 60-70% are diabetic or prediabetic. Nonetheless, the mechanisms underlying these aging-related metabolic disorders are unknown. NFκB has been implicated in the pathogenesis of several aging-related pathologies including sarcopenia and type 2 diabetes and has been proposed as a target against them. NFκB also is thought to mediate muscle wasting seen with disuse, denervation, and some systemic diseases (e.g., cancer, sepsis). We tested the hypothesis that lifelong inhibition of the classical NFκB pathway would protect against aging-related sarcopenia and insulin resistance. Aged mice with muscle-specific overexpression of a super-repressor IκBα mutant (MISR) were protected from insulin resistance. However, MISR mice were not protected from sarcopenia; to the contrary, these mice had decreases in muscle mass and strength compared to wild-type mice. In MISR mice, NFκB suppression also led to an increase in proteasome activity and alterations in several genes and pathways involved in muscle growth and atrophy (e.g., myostatin). We conclude that the mechanism behind aging-induced sarcopenia is NFκB independent and differs from muscle wasting due to pathologic conditions. Our findings also indicate that, while suppressing NFκB improves insulin sensitivity in aged mice, this transcription factor is important for normal muscle mass maintenance and its sustained inhibition is detrimental to muscle function. © 2017 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd.

  14. Wildfires Rage in Southern California

    NASA Technical Reports Server (NTRS)

    2003-01-01

    Large plumes of smoke rising from devastating wildfires burning near Los Angeles and San Diego on Sunday, October 26, 2003, are highlighted in this set of images from the Multi-angle Imaging SpectroRadiometer (MISR). These images include a natural color view from MISR's nadir camera (left) and an automated stereo height retrieval (right). The tops of the smoke plumes range in altitude from 500 - 3000 meters, and the stereo retrieval clearly differentiates the smoke from patches of high-altitude cirrus. Plumes are apparent from fires burning near the California-Mexico border, San Diego, Camp Pendleton, the foothills of the San Bernardino Mountains, and in and around Simi Valley. The majority of the smoke is coming from the fires near San Diego and the San Bernardino Mountains.

    The Multiangle Imaging Spectro Radiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82o north and 82o south latitude. These data products were generated from a portion of the imagery acquired during Terra orbit 20510. The panels cover an area of 329 kilometers x 543 kilometers, and utilize data from blocks 62 to 66 within World Reference System-2 path 40.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  15. Winter Snowfall Turns an Emerald White

    NASA Technical Reports Server (NTRS)

    2001-01-01

    Ireland's climate is normally mild due to the nearby Gulf Stream, but the waning days of 2000 saw the Emerald Isle's green fields swathed in an uncommon blanket of white. The contrast between summer and winter is apparent in this pair of images of southwestern Ireland acquired by MISR's vertical-viewing (nadir) camera on August 23, 2000 (left) and December 29, 2000 (right). The corresponding Terra orbit numbers are 3628 and 5492, respectively.

    The year 2000 brought record-breaking weather to the British Isles. England and Wales experienced the wettest spring and autumn months since 1766. Despite being one of the warmest years in recent history, a cold snap arrived between Christmas and New Year's Day. According to the UK Meteorological Office, the 18 centimeters (7 inches) of snow recorded at Aldergrove, Northern Ireland, on December 27-28 was the deepest daily fall since 1930.

    Prominent geographical features visible in the MISR images include Galway Bay near the top left. Further south, the mouth of the River Shannon, the largest river in the British Isles, meets the Atlantic Ocean. In the lower portions of the images are the counties of Limerick, Kerry and Cork.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology

  16. ECS Maintenance Wed. 12/28

    Atmospheric Science Data Center

    2016-12-27

    Date(s):  Wednesday, December 28, 2016 Time:  12 am - 12 pm EDT Event Impact:  The Data Pool, MISR order and browse tools, TAD, TES and MOPITT Search and Subset Applications, and Reverb will be unavailable...

  17. New MISR Plume Data

    Atmospheric Science Data Center

    2013-08-06

    ... April 23, 2012 The NASA Langley Atmospheric Science Data Center (ASDC) and the NASA Jet Propulsion Laboratory (JPL) ... Area to expand the list and see individual Secondary Level Projects. These new Projects Areas have been added to the website: ...

  18. New South Wales

    Atmospheric Science Data Center

    2013-04-16

    ... city of Sydney was clouded with smoke when more than 80 wildfires raged across the state of New South Wales. These images were captured ... at JPL December 30, 2001 - Smoke from wildfires covers New South Wales. project:  MISR ...

  19. Mississippi River

    Atmospheric Science Data Center

    2014-05-15

    ... 3780 kilometers long and has flooded many times during its history. In April 2001, residents of Minnesota, Wisconsin, Iowa, and Illinois ... flood of 1993. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  20. Maintenance Downtime April 23, 2014

    Atmospheric Science Data Center

    2014-04-23

    Date(s):  Wednesday, April 23, 2014 Time:  7:00 am - 5:00 pm EDT Event ... Due to scheduled maintenance Wednesday, April 23, 2014: The Data Pool, MISR order and browse tools, TES and MOPITT Search ...

  1. California: San Joaquin Valley

    Atmospheric Science Data Center

    2014-05-15

    ...     View Larger Image This illustration features Multi-angle Imaging SpectroRadiometer ... quadrant is a map of haze amount determined from automated processing of the MISR imagery. Low amounts of haze are shown in blue, and a ...

  2. MISR High-Resolution, Cross-Track Winds for Hurricane Ida

    NASA Image and Video Library

    2009-11-10

    This image shows JPL Multi-angle Imaging SpectroRadiometer instrument onboard NASA Terra satellite on Sunday, Nov. 8, 2009 as it passed over Hurricane Ida while situated between western Cuba and the Yucatan Peninsula.

  3. Mexico Fires

    Atmospheric Science Data Center

    2013-04-18

    ... on the right. This quantity is retrieved using an automated computer algorithm that takes advantage of MISR's multi-angle capability. Areas ... NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed ...

  4. Hurricane Juliette

    Atmospheric Science Data Center

    2013-04-19

    ... right is the cloud-top height field derived using automated computer processing of the data from multiple MISR cameras. Relative height ... NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, Washington, D.C. The Terra spacecraft is managed ...

  5. Hurricanes Frances and Ivan

    Atmospheric Science Data Center

    2014-05-15

    ... Image NASA's Multi-angle Imaging SpectroRadiometer (MISR) captured these images and cloud-top height retrievals of Hurricane ... especially on the 24 to 48 hour timescale vital for disaster planning. To improve the operational models used to make hurricane ...

  6. Long Smoke Plumes from CA Blue Cut Fire

    Atmospheric Science Data Center

    2016-12-30

    article title:  Long Smoke Plumes from California's Destructive Blue Cut Fire Spotted by NASA's MISR ... rapidly, burning through brush left tinder-dry by years of drought. Firefighters quickly responded, ordering the evacuation of about ...

  7. California Coast

    Atmospheric Science Data Center

    2014-05-15

    ... shades of red. The distinctive chevron shape of the Mojave Desert is bordered by the San Andreas Fault on the south and the Garlock Fault ... March 14, 2000 - Southern California with the Mojave Desert and surrounding area. project:  MISR ...

  8. Western USA and Canada

    Atmospheric Science Data Center

    2014-05-15

    ... Terrain Elevation Model from the United States Geological Survey. The image area includes much of British Columbia, Alberta and ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  9. America's National Parks 3d (1)

    Atmospheric Science Data Center

    2016-12-30

    article title:  America's National Parks Viewed in 3D by NASA's MISR (Anaglyph 1)   ...         Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle ...

  10. America's National Parks 3d (3)

    Atmospheric Science Data Center

    2016-12-30

    article title:  America's National Parks Viewed in 3D by NASA's MISR (Anaglyph 3)   ... for larger version   Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle ...

  11. America's National Parks 3d (4)

    Atmospheric Science Data Center

    2017-04-11

    article title:  America's National Parks Viewed in 3D by NASA's MISR (Anaglyph 4)   ...         Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle ...

  12. India: Bihar

    Atmospheric Science Data Center

    2013-04-16

    ... an immense wintertime pool of pollution over the northern Indian state of Bihar. The discovery was made by researchers analyzing four ... Urbana-Champaign . MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  13. Dust Storm

    Atmospheric Science Data Center

    2013-04-16

    ... brightness and contrast at different view angles to obtain a quantitative measurement of aerosol amount. Here, an optically thick atmosphere ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  14. Black Hills

    Atmospheric Science Data Center

    2014-05-15

    ... 2004. The color-coded maps (along the bottom) provide a quantitative measurement of the sunlight reflected from these surfaces, and the ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  15. Brazil: Xingu River

    Atmospheric Science Data Center

    2013-04-18

    ... brightness and contrast at different view angles to obtain a quantitative measurement of aerosol amount. An optically thick atmosphere is ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  16. Queensland

    Atmospheric Science Data Center

    2013-04-16

    ... of a 157 kilometer x 210 kilometer area. The natural-color image is composed of data from the camera's red, green, and blue bands. In the ... MISR Team. Text acknowledgment: Clare Averill, David J. Diner, Graham Bothwell (Jet Propulsion Laboratory). Other formats ...

  17. Maintenance Downtime September 18, 2013

    Atmospheric Science Data Center

    2013-09-16

    Date(s):  Wednesday, September 18, 2013 Time:  9:00 - 11:00 am EST Event Impact:  Due to scheduled maintenance Wednesday, September 18, 2013: The MISR order and browse tools, Reverb, and AMAPS will be ...

  18. Nicaraguan Volcanoes

    Atmospheric Science Data Center

    2013-04-18

    article title:  Nicaraguan Volcanoes     View Larger Image Nicaraguan volcanoes, February 26, 2000 . The true-color image at left is a ... February 26, 2000 - Plumes from the San Cristobal and Masaya volcanoes. project:  MISR category:  gallery ...

  19. MISR Level 2 Aerosol and Land Versioning

    Atmospheric Science Data Center

    2017-10-11

    ... surfaces was changed: instead of using a surface contrast threshold, a new test is used which is based on a weighted mean equivalent reflectance threshold. A regional angular correlation screening test was added to aerosol ...

  20. A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska

    USGS Publications Warehouse

    Selkowitz, D.J.

    2010-01-01

    Shrub cover appears to be increasing across many areas of the Arctic tundra biome, and increasing shrub cover in the Arctic has the potential to significantly impact global carbon budgets and the global climate system. For most of the Arctic, however, there is no existing baseline inventory of shrub canopy cover, as existing maps of Arctic vegetation provide little information about the density of shrub cover at a moderate spatial resolution across the region. Remotely-sensed fractional shrub canopy maps can provide this necessary baseline inventory of shrub cover. In this study, we compare the accuracy of fractional shrub canopy (> 0.5 m tall) maps derived from multi-spectral, multi-angular, and multi-temporal datasets from Landsat imagery at 30 m spatial resolution, Moderate Resolution Imaging SpectroRadiometer (MODIS) imagery at 250 m and 500 m spatial resolution, and MultiAngle Imaging Spectroradiometer (MISR) imagery at 275 m spatial resolution for a 1067 km2 study area in Arctic Alaska. The study area is centered at 69 ??N, ranges in elevation from 130 to 770 m, is composed primarily of rolling topography with gentle slopes less than 10??, and is free of glaciers and perennial snow cover. Shrubs > 0.5 m in height cover 2.9% of the study area and are primarily confined to patches associated with specific landscape features. Reference fractional shrub canopy is determined from in situ shrub canopy measurements and a high spatial resolution IKONOS image swath. Regression tree models are constructed to estimate fractional canopy cover at 250 m using different combinations of input data from Landsat, MODIS, and MISR. Results indicate that multi-spectral data provide substantially more accurate estimates of fractional shrub canopy cover than multi-angular or multi-temporal data. Higher spatial resolution datasets also provide more accurate estimates of fractional shrub canopy cover (aggregated to moderate spatial resolutions) than lower spatial resolution datasets, an expected result for a study area where most shrub cover is concentrated in narrow patches associated with rivers, drainages, and slopes. Including the middle infrared bands available from Landsat and MODIS in the regression tree models (in addition to the four standard visible and near-infrared spectral bands) typically results in a slight boost in accuracy. Including the multi-angular red band data available from MISR in the regression tree models, however, typically boosts accuracy more substantially, resulting in moderate resolution fractional shrub canopy estimates approaching the accuracy of estimates derived from the much higher spatial resolution Landsat sensor. Given the poor availability of snow and cloud-free Landsat scenes in many areas of the Arctic and the promising results demonstrated here by the MISR sensor, MISR may be the best choice for large area fractional shrub canopy mapping in the Alaskan Arctic for the period 2000-2009.

  1. The validation and analysis of novel stereo-derived smoke plume products from AATSR and their application to fire events from the 2008 Russian fire season

    NASA Astrophysics Data System (ADS)

    Fisher, D.; Muller, J.-P.; Yershov, V.

    2012-04-01

    Biomass burning events in Boreal forests generate significant amounts of important greenhouse gases; including CO2, CO, NOx [1,2]. When the injection height is above the boundary layer (BL), the lifespan of these chemicals is greatly extended, as is their spatial distribution [2]. Typically, in chemical transport models (CTMs), BL injection heights are simplified and assumed to be constant. This is in part due to poor data availability. This leads to a reduction in the accuracy of the distribution outputs from such models. To generate better smoke-plume injection height (SPIH) inputs into CTMs, measurements need to be made of smoke plume heights, which can be used as a proxy for aerosol injection height into the atmosphere. One method of measuring SPIH is through stereo-photogrammetry [5], originally applied to optically thick clouds [3,4]. Here, we present validation and analysis of the M6 stereo matching method [5] for the determination of SPIHs applied to AATSR. It is referred to as M6 due to a shared heritage with the other M-series matchers [3,4]. M6 utilizes novel normalization and matching techniques to generate improved results, in terms of coverage and accuracy, over these afore-referenced matchers of similar type. Validation is carried out against independent, coincident and higher resolution SPIH measurements obtained from both the CALIOP instrument carried onboard the NASA-CNES CALIPSO satellite and also against measurements from the MISR Smoke Plume Product obtained by manual measurements using the MINX system (http://www.openchannelsoftware.com/projects/MINX) with the MISR instrument onboard the NASA satellite Terra. The results of this inter-comparison show an excellent agreement between AATSR and the CALIOP and MISR measurements. Further an inter-comparison between a heritage M-series matcher, M4 [3], also against MISR data demonstrates the significant improvement in SPIH generated by M6. [1] Crutzen, P. J., L. E. Heidt, et al. (1979). "Biomass Burning as a Source of Atmospheric Gases Co, H-2, N2o, No, Ch3cl and Cos." Nature 282(5736): 253-256. [2] Martin, M. V., J. A. Logan, et al. (2010). "Smoke injection heights from fires in North America: analysis of 5 years of satellite observations." Atmospheric Chemistry and Physics 10(4): 1491-1510. [3] Muller, J. P., M. A. Denis, et al. (2007). "Stereo cloud-top heights and cloud fraction retrieval from ATSR-2." International Journal of Remote Sensing 28(9): 1921-1938. [4] Muller, J.-P., A. Mandanyake, et al. (2002). "MISR stereoscopic image matchers: Techniques and results." IEEE Transactions on Geoscience and Remote Sensing 40: 1547-1559. [5] Fisher, D.N., Muller, J.-P., Yershov, V.N. (2012) "Automated Smoke Plume Injection Heights (SPIH) and Smoke-Plume Masks (SPM) from AATSR stereo for mapping aerosol and trace gas injection into the free troposphere", Remote Sensing of Environment (in review)

  2. Identifying Communities of Vulnerability: Using NASA's Multiangle Imaging Spectroradiometer to Enhance Public Health Tracking of Particle Exposure in Los Angeles - An Empirical Approach to Examining L1 MISR Radiance Measurements and PM2.5 Relationships

    NASA Astrophysics Data System (ADS)

    Laygo, K.; Kontgis, C.; Hollins, A.

    2011-12-01

    Los Angeles is consistently ranked as one of the most polluted cities in the United States, exhibiting high levels of both ozone and particulate matter. Particulate matter with an aerodynamic diameter of 2.5 microns or less, or PM2.5, is of special concern for health professionals, since it is fine enough to be inhaled into the lungs. Additionally, studies show that it is associated with respiratory disease risks such as asthma. Remote sensing technologies have the potential to be useful in air pollution health studies, but have so far been sparsely implemented. Satellite-derived measurements would be especially useful in air pollution studies, since the concentrations of interest can change by orders of magnitude over small distances. However, with current remote sensing technologies, it is difficult to predict pollution levels within small areas. This study utilizes remote sensing information in combination with a ground-based network of data to create a more comprehensive approach to tracking public health concerns. According to the 2007 NRC Decadal Survey, there is a continued need for research that establishes the relationship between remotely sensed data and predicting public health risks related to environmental factors. For this study, we conducted linear regression models using Multi-Angle Imaging SpectroRadiometer (MISR) L1 radiance data and ground-based PM2.5 measurements from 13 EPA stations within the Los Angeles Metropolitan Statistical Area. MISR senses in 4 bands (visible blue, green, red and near infrared) and 9 separate angles, producing a total of 36 bands. Using all 36 bands, we generated models for each station individually and for all stations combined. Two time periods were assessed: June, July and August from 2000 - 2009, and all months from 2009. Summer months were looked at specifically, since pollution levels tend to be higher than other parts of the year due to strong inversion layers and low rainfall levels. Generally, the models performed well, suggesting that MISR radiances are able to accurately predict levels of PM2.5. For 2009 data, all models had R-squared values over 0.93. For summer month data, the model R-square values were markedly lower and more varied than for the 2009 data, ranging from 0.33 - 0.92. When looking at the 2009 data, non-summer month models performed better than did summer-month models. A brief analysis of temperature data indicates that temperature and deviation from the norm are not associated with model predictability. All 36 MISR channels were plotted against their weights for each model, but no band combination obviously weighed more than other bands. Further research needs to be conducted to understand why models were able to predict 2009 PM2.5 levels, but were unable to accurately fit summer data from 2000 - 2009.

  3. Height and Motion of the Chikurachki Eruption Plume

    NASA Technical Reports Server (NTRS)

    2003-01-01

    The height and motion of the ash and gas plume from the April 22, 2003, eruption of the Chikurachki volcano is portrayed in these views from the Multi-angle Imaging SpectroRadiometer (MISR). Situated within the northern portion of the volcanically active Kuril Island group, the Chikurachki volcano is an active stratovolcano on Russia's Paramushir Island (just south of the Kamchatka Peninsula).

    In the upper panel of the still image pair, this scene is displayed as a natural-color view from MISR's vertical-viewing (nadir) camera. The white and brownish-grey plume streaks several hundred kilometers from the eastern edge of Paramushir Island toward the southeast. The darker areas of the plume typically indicate volcanic ash, while the white portions of the plume indicate entrained water droplets and ice. According to the Kamchatkan Volcanic Eruptions Response Team (KVERT), the temperature of the plume near the volcano on April 22 was -12o C.

    The lower panel shows heights derived from automated stereoscopic processing of MISR's multi-angle imagery, in which the plume is determined to reach heights of about 2.5 kilometers above sea level. Heights for clouds above and below the eruption plume were also retrieved, including the high-altitude cirrus clouds in the lower left (orange pixels). The distinctive patterns of these features provide sufficient spatial contrast for MISR's stereo height retrieval to perform automated feature matching between the images acquired at different view angles. Places where clouds or other factors precluded a height retrieval are shown in dark gray.

    The multi-angle 'fly-over' animation (below) allows the motion of the plume and of the surrounding clouds to be directly observed. The frames of the animation consist of data acquired by the 70-degree, 60-degree, 46-degree and 26-degree forward-viewing cameras in sequence, followed by the images from the nadir camera and each of the four backward-viewing cameras, ending with the view from the 70-degree backward camera.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously from pole to pole, and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbit 17776. The panels cover an area of approximately 296 kilometers x 216 kilometers (still images) and 185 kilometers x 154 kilometers (animation), and utilize data from blocks 50 to 51 within World Reference System-2 path 100.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

    [figure removed for brevity, see original site

  4. Illinois and Indiana

    Atmospheric Science Data Center

    2014-05-15

    ... are in turn influenced by the vegetation structure, terrain, soil type, and the solar illumination conditions. When MISR captured this ... at the off-nadir angles. This can occur if the underlying soil is brighter than the vegetation at both wavelengths. However, many ...

  5. West Africa

    Atmospheric Science Data Center

    2013-04-16

    ... (MISR) illustrate the abundance of atmospheric particulate matter across the region. The left-hand panels are natural-color views from ... across the region is noticeable. The distinctive area of dark green vegetation (apparent below and left of image center) are situated in ...

  6. Cyclone Monty

    Atmospheric Science Data Center

    2013-04-16

    ... circulation had decayed considerably, although category 3 force winds were reported on the ground. Some parts of the drought-affected ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA ...

  7. Mississippi River

    Atmospheric Science Data Center

    2014-05-15

    ... is approximately 2348 miles long. Over the course of it's history, the mighty river has flooded many times. The largest flood recorded in ... Wisconsin has receded. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  8. Arizona Fires

    Atmospheric Science Data Center

    2014-05-15

    ... Image This image and accompanying animation from NASA's Multi-angle Imaging SpectroRadiometer (MISR) instrument on the Terra ... and is currently the second largest fire in Arizona history. More than 2,000 people are working to contain the fire, which is being ...

  9. MISR Observes Southern California Wildfires

    Atmospheric Science Data Center

    2016-12-30

    ... of the smoke is confined to the local area.   These data were acquired during Terra orbit 87818. The stereoscopic analysis was ... software tool, which is publicly available through the Open Channel Foundation at: https://www.openchannelsoftware.com/projects/MINX ...

  10. Cloud Arcs

    Atmospheric Science Data Center

    2013-04-19

    ... series of quasi-circular arcs. Clues regarding the formation of these arcs can be found by noting that larger clouds exist in the ... in Hampton, VA. Image credit: NASA/GSFC/LaRC/JPL, MISR Team. Other formats available at JPL March 11, 2002 - ...

  11. Global Albedo

    Atmospheric Science Data Center

    2013-04-19

    ... reflected by the Earth's surface at various wavelengths. A quantitative measure of this reflected sunlight is described by the albedo, ... parts of the planet, and for monthly as well as seasonal time increments. These and other surface and vegetation products from the MISR ...

  12. hdfscan

    Atmospheric Science Data Center

    2013-04-01

    ... free of charge from JPL, upon completion of a license agreement. hdfscan software consists of two components - a core hdf file ... at the Jet Propulsion Laboratory. To obtain the license agreement, go to the  MISR Science Software web page , read the introductory ...

  13. Mystery #26 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... area during the dry season, thus giving this area its descriptive name. Answer: TRUE.  The Cabo Blanco Nature Reserve is ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  14. Maryland: Baltimore

    Atmospheric Science Data Center

    2014-05-15

    ... They will then compare the derived aerosol distribution with survey data on health effects, such as the incidence of asthma, to complete ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  15. NASA MISR Views Kruger National Park

    NASA Image and Video Library

    2010-10-06

    This nadir camera view was captured by NASA Terra spacecraft around Kruger National Park in NE South Africa. The bright white feature is the Palabora Copper Mine, and the water body near upper right is Lake Massingir in Mozambique.

  16. America's National Parks 3d (2)

    Atmospheric Science Data Center

    2016-12-30

    article title:  America's National Parks Viewed in 3D by NASA's MISR (Anaglyph 2)   ...           Just in time for the U.S. National Park Service's Centennial celebration on Aug. 25, NASA's Multiangle ...

  17. Smoke over Jackson Hole, Wyoming

    NASA Image and Video Library

    2001-08-01

    This anaglyph from the MISR instrument aboard NASA Terra spacecraft shows the area around Jackson Hole, Wyoming, where the Green Knoll forest fire raged for many days in July, 2001. 3D glasses are necessary to view this image.

  18. MISR Images Wildfires in Northwestern US

    NASA Image and Video Library

    2000-08-16

    These images from NASA Terra satellite are of smoke plumes from devastating wildfires in the northwestern U.S. This view of the Clearwater and Salmon River Mountains in Idaho was acquired on August 5, 2000 Terra orbit 3370.

  19. Larsen C Rift Growth

    Atmospheric Science Data Center

    2017-04-17

    ... NASA's MISR Tracks Growth of Rift in the Larsen C Ice Shelf     View Larger Image ... figures image   A rift in Antarctica's Larsen C ice shelf has grown to 110 miles (175 km) long, making it inevitable that an ...

  20. MI1AENG1

    Atmospheric Science Data Center

    2014-09-03

    MI1AENG1 MISR Level 1A Engineering Data File Type 1: Reformatted Annotated Level 1A product for the camera engineering data, which represents indicators of sampled measurements. ... Status Production Report Read Software Files :  Data Product Specification Versioning ...

  1. Southern Rains

    Atmospheric Science Data Center

    2014-05-15

    ... appear in the upper right-hand corners of both images. Quantitative values for the vegetation changes are provided by the center and ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  2. Mystery #16 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... were acquired by the Multi-angle Imaging SpectroRadiometer (MISR) during October and November 2003. The two images represent about 310 ... obtain calcium from the seawater and carbon dioxide from cell respiration, and bring these products into the internal tissues of the ...

  3. Yugoslavia

    Atmospheric Science Data Center

    2013-04-17

    ... Image These Multi-angle Imaging SpectroRadiometer (MISR) nadir camera images of Yugoslavia were acquired on July 28, 2000 during ... typically bright as a result of reflection from the plants' cell walls, to the brightness in the red. In the middle "false color" image, ...

  4. NASA MISR Tracks Massive Flooding in Pakistan

    NASA Image and Video Library

    2010-08-18

    In late July 2010, flooding caused by heavy monsoon rains began in several regions of Pakistan, including the Khyber Pakhtunkhwa, Sindh, Punjab and parts of Baluchistan. This image was acquired by NASA Terra spacecraft on August 11, 2010.

  5. Middle East Dust

    Atmospheric Science Data Center

    2013-04-16

    ... only some of the dust over eastern Syria and southeastern Turkey can be discerned. The dust is much more obvious in the center panel, ... 18, 2002 - A large dust plume extends across Syria and Turkey. project:  MISR category:  gallery ...

  6. Multiple internal seal right micro-electro-mechanical system vacuum package

    NASA Technical Reports Server (NTRS)

    Shcheglov, Kirill V. (Inventor); Wiberg, Dean V. (Inventor); Hayworth, Ken J. (Inventor); Yee, Karl Y. (Inventor); Bae, Youngsam (Inventor); Challoner, A. Dorian (Inventor); Peay, Chris S. (Inventor)

    2007-01-01

    A Multiple Internal Seal Ring (MISR) Micro-Electro-Mechanical System (MEMS) vacuum package that hermetically seals MEMS devices using MISR. The method bonds a capping plate having metal seal rings to a base plate having metal seal rings by wafer bonding the capping plate wafer to the base plate wafer. Bulk electrodes may be used to provide conductive paths between the seal rings on the base plate and the capping plate. All seals are made using only metal-to-metal seal rings deposited on the polished surfaces of the base plate and capping plate wafers. However, multiple electrical feed-through metal traces are provided by fabricating via holes through the capping plate for electrical connection from the outside of the package through the via-holes to the inside of the package. Each metal seal ring serves the dual purposes of hermetic sealing and providing the electrical feed-through metal trace.

  7. Determining Aerosol Plume Height from Two GEO Imagers: Lessons from MISR and GOES

    NASA Technical Reports Server (NTRS)

    Wu, Dong L.

    2012-01-01

    Aerosol plume height is a key parameter to determine impacts of particulate matters generated from biomass burning, wind-blowing dust, and volcano eruption. Retrieving cloud top height from stereo imageries from two GOES (Geostationary Operational Environmental Satellites) have been demonstrated since 1970's and the principle should work for aerosol plumes if they are optically thick. The stereo technique has also been used by MISR (Multiangle Imaging SpectroRadiometer) since 2000 that has nine look angles along track to provide aerosol height measurements. Knowing the height of volcano aerosol layers is as important as tracking the ash plume flow for aviation safety. Lack of knowledge about ash plume height during the 2010 Eyja'rjallajokull eruption resulted in the largest air-traffic shutdown in Europe since World War II. We will discuss potential applications of Asian GEO satellites to make stereo measurements for dust and volcano plumes.

  8. A Strengthening Eastern Pacific Storm

    NASA Technical Reports Server (NTRS)

    2006-01-01

    These July 11, 2006 images are from the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra Satellite. They show then Tropical Storm Bud as it was intensifying into a hurricane, which it became later that day. The true-color image at left is next to an image of cloud heights on the right. Two-dimensional maps of cloud heights such as these give scientists an opportunity to compare their models against actual hurricane observations.

    At the time of these images, Bud was located near 14.4 degrees north latitude and 112.5 degrees west longitude, or about 620 miles (1000 kilometers) southwest of Cabo San Lucas, Baja California, Mexico.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena,Calif. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, Md. JPL is a division of the California Institute of Technology.

  9. Multiple internal seal ring micro-electro-mechanical system vacuum packaging method

    NASA Technical Reports Server (NTRS)

    Hayworth, Ken J. (Inventor); Yee, Karl Y. (Inventor); Shcheglov, Kirill V. (Inventor); Bae, Youngsam (Inventor); Wiberg, Dean V. (Inventor); Challoner, A. Dorian (Inventor); Peay, Chris S. (Inventor)

    2008-01-01

    A Multiple Internal Seal Ring (MISR) Micro-Electro-Mechanical System (MEMS) vacuum packaging method that hermetically seals MEMS devices using MISR. The method bonds a capping plate having metal seal rings to a base plate having metal seal rings by wafer bonding the capping plate wafer to the base plate wafer. Bulk electrodes may be used to provide conductive paths between the seal rings on the base plate and the capping plate. All seals are made using only metal-to-metal seal rings deposited on the polished surfaces of the base plate and capping plate wafers. However, multiple electrical feed-through metal traces are provided by fabricating via holes through the capping plate for electrical connection from the outside of the package through the via-holes to the inside of the package. Each metal seal ring serves the dual purposes of hermetic sealing and providing the electrical feed-through metal trace.

  10. Distinguishing remobilized ash from erupted volcanic plumes using space-borne multi-angle imaging.

    PubMed

    Flower, Verity J B; Kahn, Ralph A

    2017-10-28

    Volcanic systems are comprised of a complex combination of ongoing eruptive activity and secondary hazards, such as remobilized ash plumes. Similarities in the visual characteristics of remobilized and erupted plumes, as imaged by satellite-based remote sensing, complicate the accurate classification of these events. The stereo imaging capabilities of the Multi-angle Imaging SpectroRadiometer (MISR) were used to determine the altitude and distribution of suspended particles. Remobilized ash shows distinct dispersion, with particles distributed within ~1.5 km of the surface. Particle transport is consistently constrained by local topography, limiting dispersion pathways downwind. The MISR Research Aerosol (RA) retrieval algorithm was used to assess plume particle microphysical properties. Remobilized ash plumes displayed a dominance of large particles with consistent absorption and angularity properties, distinct from emitted plumes. The combination of vertical distribution, topographic control, and particle microphysical properties makes it possible to distinguish remobilized ash flows from eruptive plumes, globally.

  11. Quantifying the microphysical impacts of fire aerosols on clouds in Indonesia using remote sensing observations

    NASA Astrophysics Data System (ADS)

    Tosca, M. G.; Diner, D. J.; Garay, M. J.; Kalashnikova, O. V.

    2012-12-01

    Fire-emitted aerosols modify cloud and precipitation dynamics by acting as cloud condensation nuclei in what is known as the first and second aerosol indirect effect. The cloud response to the indirect effect varies regionally and is not well understood in the highly convective tropics. We analyzed nine years (2003-2011) of aerosol data from the Multi-angle Imaging SpectroRadiometer (MISR), and fire emissions data from the Global Fire Emissions Database, version 3 (GFED3) over southeastern tropical Asia (Indonesia), and identified scenes that contained both a high atmospheric aerosol burden and large surface fire emissions. We then collected scenes from the Cloud Profiling Radar (CPR) on board the CLOUDSAT satellite that corresponded both spatially and temporally to the high-burning scenes from MISR, and identified differences in convective cloud dynamics over areas with varying aerosol optical depths. Differences in overpass times (MISR in the morning, CLOUDSAT in the afternoon) improved our ability to infer that changes in cloud dynamics were a response to increased or decreased aerosol emissions. Our results extended conclusions from initial studies over the Amazon that used remote sensing techniques to identify cloud fraction reductions in high burning areas (Koren et al., 2004; Rosenfeld, 1999) References Koren, I., Y.J. Kaufman, L.A. Remer and J.V. Martins (2004), Measurement of the effect of Amazon smoke on inhibition of cloud formation, Science, 303, 1342-1345 Rosenfeld, D. (1999), TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall, Gephys. Res. Lett., 26, 3105.

  12. The Observed Behavior of the Bias in MODIS-retrieved Cloud Droplet Effective Radius through MISR-MODIS Data Fusion

    NASA Astrophysics Data System (ADS)

    Fu, D.; Di Girolamo, L.; Liang, L.; Zhao, G.

    2017-12-01

    Listed as one of the Essential Climate Variables by the Global Climate Observing System, the effective radius (Re) of the cloud drop size distribution plays an important role in the energy and water cycles of the Earth system. Re is retrieved from several passive sensors, such as the Moderate Resolution Imaging Spectroradiometer (MODIS), based on a visible and near-infrared bi-spectral technique that had its foundation more than a quarter century ago. This technique makes a wide range of assumptions, including 1-D radiative transfer, assumed single-mode drop size distribution, and cloud horizontal and vertical homogeneity. It is well known that deviations from these assumptions lead to bias in the retrieved Re. Recently, an effort to characterize the bias in MODIS-retrieved Re through MISR-MODIS data fusion revealed biases in the zonal-mean values of MODIS-retrieved Re that varied from 2 to 11 µm, depending on latitude (Liang et al., 2015). Here, in a push towards bias-correction of MODIS-retrieved Re, we further examine the bias with MISR-MODIS data fusion as it relates to other observed cloud properties, such as cloud-top height and the spatial variability of the radiance field, sun-view geometry, and the driving meteorology had from reanalysis data. Our results show interesting relationships in Re bias behavior with these observed properties, revealing that while Re bias do show a certain degree of dependence on some properties, no single property dominates the behavior in MODIS-retrieved Re bias.

  13. Intercomparison of Satellite Dust Retrieval Products over the West African Sahara During the Fennec Campaign in June 2011

    NASA Technical Reports Server (NTRS)

    Banks, J.R.; Brindley, H. E.; Flamant, C.; Garay, M. J.; Hsu, N. C.; Kalashnikova, O. V.; Klueser, L.; Sayer, A. M.

    2013-01-01

    Dust retrievals over the Sahara Desert during June 2011 from the IASI, MISR, MODIS, and SEVIRI satellite instruments are compared against each other in order to understand the strengths and weaknesses of each retrieval approach. Particular attention is paid to the effects of meteorological conditions, land surface properties, and the magnitude of the dust loading. The period of study corresponds to the time of the first Fennec intensive measurement campaign, which provides new ground-based and aircraft measurements of the dust characteristics and loading. Validation using ground-based AERONET sunphotometer data indicate that of the satellite instruments, SEVIRI is most able to retrieve dust during optically thick dust events, whereas IASI and MODIS perform better at low dust loadings. This may significantly affect observations of dust emission and the mean dust climatology. MISR and MODIS are least sensitive to variations in meteorological conditions, while SEVIRI tends to overestimate the aerosol optical depth (AOD) under moist conditions (with a bias against AERONET of 0.31), especially at low dust loadings where the AOD<1. Further comparisons are made with airborne LIDAR measurements taken during the Fennec campaign, which provide further evidence for the inferences made from the AERONET comparisons. The effect of surface properties on the retrievals is also investigated. Over elevated surfaces IASI retrieves AODs which are most consistent with AERONET observations, while the AODs retrieved by MODIS tend to be biased low. In contrast, over the least emissive surfaces IASI significantly underestimates the AOD (with a bias of -0.41), while MISR and SEVIRI show closest agreement.

  14. Estimation of Canopy Clumping Index From MISR and MODIS Sensors Using the Normalized Difference Hotspot and Darkspot (NDHD) Method: The Influence of BRDF Models and Solar Zenith Angle

    NASA Astrophysics Data System (ADS)

    Wei, S.; Fang, H.

    2016-12-01

    The Clumping index (CI) describes the spatial distribution pattern of foliage, and is a critical parameter used to characterize the terrestrial ecosystem and model land-surface processes. Global and regional scale CI maps have been generated from POLDER, MODIS, and MISR sensors based on an empirical relationship with the normalized difference between hotspot and darkspot (NDHD) index by previous studies. However, the hotspot and darkspot values and CI values can be considerably different from different bidirectional reflectance distribution function (BRDF) models and solar zenith angles (SZA). In this study, we evaluated the effects of different configurations of BRDF models and SZA values on CI estimation using the NDHD method. CI maps estimated from MISR and MODIS were compared with reference data at the VALERI sites. Results show that for moderate to least clumped vegetation (CI > 0.5), CIs retrieved with the observational SZA agree well with field values, while SZA =0° results in underestimates, and SZA = 60° results in overestimates. For highly clumped (CI < 0.5) and sparsely vegetated areas (FCOVER<25%), the Ross-Li model with 60° SZA is recommended for CI estimation. The suitable NDHD configuration was further used to estimate a 15-year time series CI from MODIS BRDF data. The time series CI shows a reasonable seasonal trajectory, and varies consistently with the MODIS leaf area index (LAI). This study enables better usage of the NDHD method for CI estimation, and can be a useful reference for research on CI validation.

  15. Altering rainfall patterns through aerosol dispersion

    NASA Astrophysics Data System (ADS)

    Emetere, M. E.; Bakeko, M.; Onyechekwa, L.; Ayara, W.

    2017-05-01

    The possibility of recirculation mechanism on rainfall patterns is salient for sustenance of the human race through agricultural produce. The peculiarity of the lower atmosphere of south west region of Nigeria was explored using theoretical and experimental approach. In the theoretical approach, the reconstruction of 1D model as an extraction from the 3D aerosol dispersion model was used to examine the physics of the recirculation theory. The experimental approach which consists of obtaining dataset from ground instruments was used to provide on-site guide for developing the new recirculation theories. The data set was obtained from the Davis weather station, Nigeria Meteorological agency and Multi-angle Imaging Spectro-radiometer (MISR). We looked at the main drivers of recirculation and propounded that recirculation is a complex process which triggers a reordering of the mixing layer- a key factor for initiating the type of rainfall in this region.

  16. Hurricane Katrina

    Atmospheric Science Data Center

    2014-05-15

    ... camera. Such a display causes water bodies and inundated soil to appear in blue and purple hues, and highly vegetated areas to appear ... MISR's oblique cameras, indicating the presence of inundated soil throughout the floodplain. Note that clouds appear in a different spot for ...

  17. Cape Cod

    Atmospheric Science Data Center

    2014-05-15

    ... 3000 shipwrecks on the Cape, mainly along the treacherous outer shore between Provincetown located at the "fist" of the Cape and Chatham ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA ...

  18. Ireland Seasons

    Atmospheric Science Data Center

    2013-04-17

    ... since 1766. Despite being one of the warmest years in recent history, a cold snap arrived between Christmas and New Year's Day. According to ... Kerry and Cork. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  19. Mystery #19

    Atmospheric Science Data Center

    2013-04-22

    ... camera in May, 2002. This mystery concerns a large body of water (the blue waters which dominate most of the image) and the region ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  20. What is the "Clim-Likely" aerosol product?

    Atmospheric Science Data Center

    2014-12-08

    ... identifying a range of components and mixtures for the MISR Standard Aerosol Retrieval Algorithm climatology, and as one standard against ... retrieval results. Six component aerosols included in the model were medium and coarse mode mineral dust, sulfate, sea salt, black ...

  1. ASDC Tools Temporarily Unavailable

    Atmospheric Science Data Center

    2015-12-21

    ... The ASDC will be conducting maintenance due to an unexpected power outage. The Data Pool, MISR order and browse tools, TAD, TES and ... may be unavailable during maintenance. Data processing and distribution may be impacted and systems are expected to return to normal ...

  2. India

    Atmospheric Science Data Center

    2013-04-16

    article title:  Aerosols over India     View Larger Image ... particulates, over the low-lying plains of northeastern India appear in dramatic contrast with the relatively pristine air of the ... October 15, 2001 - High concentrations of aerosols over India. project:  MISR category:  gallery ...

  3. Smoke and Clouds over Russia

    NASA Image and Video Library

    2001-05-23

    Several mountain ranges and a portion of the Amur River are visible in this set of stereo images of Russia far east Khabarovsk region taken by the MISR instrument aboard NASA Terra spacecraft. 3D glasses are necessary to view this image.

  4. Hurricane Earl Multi-level Winds

    NASA Image and Video Library

    2010-09-02

    NASA Multi-angle Imaging SpectroRadiometer instrument captured this image of Hurricane Earl Aug. 30, 2010. At this time, Hurricane Earl was a Category 3 storm. The hurricane eye is just visible on the right edge of the MISR image swath.

  5. Mystery #27

    Atmospheric Science Data Center

    2016-12-22

    ... of the image are natural geologic features that often carry descriptive names of their location.   What is the native word used to call ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  6. Mystery #26

    Atmospheric Science Data Center

    2016-12-22

    ... area during the dry season, thus giving this area its descriptive name. 6.   This animal, which can be found in the National ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  7. Mystery #27 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... of the image are natural geologic features that often carry descriptive names of their location.  What is the native word used to call ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  8. South Atlantic Anomaly

    Atmospheric Science Data Center

    2013-04-19

    ... This map was created by specially processing MISR "dark" data taken between 3 February and 16 February 2000, while the cover was still ... Individual orbit tracks are visible, and some tracks are missing due to data gaps, missing spacecraft navigation information, or other ...

  9. MISR Level 3 Albedo and Cloud Versioning

    Atmospheric Science Data Center

    2016-11-04

    ... Albedo Versioning statement  for changes to the Level 2 data being summarized.   Ver. # Production Start Date ... of Observation" data, which in the previous version was missing many Level 2 observations. The actual Level 3 averages contained all of ...

  10. MISR GoMACCS Products

    Atmospheric Science Data Center

    2016-11-25

    Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS) Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS) is an intensive ... study area encompasses Texas and the northwestern Gulf of Mexico during July, August, September, and October, 2006. The Multi-angle ...

  11. Pyrocumulus Clouds Tower Over Silver Fire in New Mexico

    NASA Image and Video Library

    2013-06-14

    NASA Terra satellite passed over the Silver Fire in New Mexico June 12, 2013. By combining information from different MISR cameras, scientists have produced a 3D image of the smoke plume associated with the Silver Fire.

  12. Baghdad

    Atmospheric Science Data Center

    2013-04-16

    article title:  Oil Fire Plumes Over Baghdad     View Larger Image Dark smoke from oil fires extend for about 60 kilometers south of Iraq's capital city of ... at JPL April 2, 2003 - Dark smoke from oil fires in Baghdad, Iraq. project:  MISR ...

  13. Oil Fire Plumes Over Baghdad

    NASA Image and Video Library

    2003-04-09

    Dark smoke from oil fires extend for about 60 kilometers south of Iraq capital city of Baghdad in this anaglyph acquired by the MISR instrument aboard NASA Terra spacecraft on April 2, 2003. 3D glasses are necessary to view this image.

  14. Aerosols

    Atmospheric Science Data Center

    2013-04-17

    ... depth. A color scale is used to represent this quantity, and high aerosol amount is indicated by yellow or green pixels, and clearer skies ... out most clearly, whereas MISR's oblique cameras enhance sensitivity to even thin layers of aerosols. In the March image, the only ...

  15. Typhoon Sinlaku

    Atmospheric Science Data Center

    2013-04-16

    ... before the storm weakened as it moved inland. While the nature and formation of individual storm events is relatively well understood, ... clouds on climate is difficult to assess due to the variable nature of cloud cover at various altitudes. MISR's data products are designed ...

  16. Himalayas

    Atmospheric Science Data Center

    2013-04-16

    ... million years ago as a result of the collision between the Indian and Eurasian plates, driven by tectonic processes. They continue to grow ... 14, 2000) Blocks 65-75 MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  17. Cyclone Dera

    Atmospheric Science Data Center

    2013-04-19

    ... March 12, 2001 (Terra orbit 6552). Dera was located in the Indian Ocean, south of Madagascar. The southern end of this large island is ... 380 kilometers wide. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  18. Iceland: Eyjafjallajökull Volcano

    Atmospheric Science Data Center

    2013-04-17

    ... erroneous impression that they are below the land surface. A quantitative computer analysis is necessary to separate out wind and height. ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  19. Iceland: Eyjafjallajökull Volcano

    Atmospheric Science Data Center

    2013-04-17

    ... causes motion of the plume features between camera views. A quantitative computer analysis is necessary to separate out wind and height ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  20. China Dust

    Atmospheric Science Data Center

    2013-04-16

    ... SpectroRadiometer (MISR) nadir-camera images of eastern China compare a somewhat hazy summer view from July 9, 2000 (left) with a ... arid and sparsely vegetated surfaces of Mongolia and western China pick up large quantities of yellow dust. Airborne dust clouds from the ...

  1. Global Albedo

    Atmospheric Science Data Center

    2013-04-19

    ... the albedo. Bright surfaces have albedo near unity, and dark surfaces have albedo near zero. The DHR refers to the amount of spectral ... Atmospheric Science Data Center's  MISR Level 3 Imagery web site . The Multi-angle Imaging SpectroRadiometer observes the daylit ...

  2. MISR UAE Products

    Atmospheric Science Data Center

    2016-11-25

    United Arab Emirates - Unified Aerosol Experiment (UAE 2 ) 2004 The United Arab Emirates-Unified Aerosol Experiment (UAE2) 2004 field campaign scheduled ... 2004 targets the coastal and desert regions of the United Arab Emirates. The main scientific goal is to evaluate and improve satellite ...

  3. Topography of the Flattest Surface on Earth: using ICESAT, GPS, and MISR to Measure Salt Surface Topography on Salar de Uyuni, Bolivia

    NASA Technical Reports Server (NTRS)

    Comstock, Robert L.; Bills, Bruce G.

    2004-01-01

    Salt flats are aptly named: they are composed largely of salt, and are maintained as nearly equipotential surfaces via frequent flooding. The salar de Uyuni, on the Altiplano in southwestern Bolivia, is the largest salt flat on Earth, with an area of 9,800 sq km. Except for a few bedrock islands, it has less than 40 cm of relief. The upper-most salt unit averages 5 m thick and contains 50 cu km of nearly pure halite. It includes most of the salt that was in solution in paleolake Minchin, which attained a maximum area of 60,000 sq km and a maximum depth of 150 m, roughly 15 kyr ago. Despite approx. 10 m of differential isostatic rebound since deposition, the salar surface has been actively maintained as an extraordinarily flat and smooth surface by annual flooding during the rainy season. We have used the strong optical absorption properties of water in the visible band to map spatial variations in water depth during a time when the salar was flooded. As water depth increases, the initially pure white surface appears both darker and bluer. We utilized MISR images taken during the interval from April to November 2001. The red and infra-red bands (672 and 867 nm wavelength) were most useful since the water depth is small and the absorption at those wavelengths is quite strong. Nadir pointed MISR images have 275 m spatial resolution. To aid in our evaluation of water depth variations over the saiar surface, we utilized two sources of direct topographic measurements: several ICESAT altimetry tracks cross the area, and a 40x50 km GPS grid was surveyed to calibrate ICESAT. A difficulty in using these data types is that both give salt surface elevations relative to the ellipsoid, whereas the water surface will, in the absence of wind or tidal disturbances, follow an equipotential surface. Geoid height is not known to the required accuracy of a few cm in the central Andes. As a result, before comparing optical absorption from MISR to salt surface topography from GPS or ICESAT, we removed the longest wavelengths from both.

  4. Satellite Observations of Declining Aerosol Burden in The Twenty-First Century in the Southeast United States

    NASA Astrophysics Data System (ADS)

    Feng, N.; Tosca, M.; Kalashnikova, O. V.; Campbell, J. R.; Garay, M. J.; Seidel, F. C.

    2017-12-01

    The Southeast US (SEUS) has long been recognized as a region where the climatic effect of atmospheric aerosols can cool the Earth and have thus reduced the effect of greenhouse warming. However, previous studies have assessed that abundant carbonaceous aerosols over SEUS from a combination of anthropogenic and natural sources are systematically underestimated by most atmospheric models, especially during summer when the average carbon concentration in SEUS is the highest in the country. In this study, we utilize an ensemble of surface (AERONET) and satellite (MISR, CALIPSO) observations over the SEUS from 2001 to 2015 to better understand the spatially and vertically-resolved decadal trend of SEUS aerosol burden. Results from CALIOP show significant aerosol loading extending from the surface to 5km year-round. Additionally, these data show aerosol extinction coefficients as large as 0.01 km-1 extending well above 8km during the summertime. CALIOP measurements corroborate seasonal observations from MISR and indicate that much of the aerosol burden in the SEUS is comprised of smoke, polluted continental and polluted dust species. Using boundary layer heights from the ERA Interim dataset, CALIOP data show that while summertime aerosol burden above the boundary layer (elevated) is equal to about half of the AOD in the surface layer (0.17 vs. 0.08), during wintertime, the vast majority of aerosols are below the boundary layer (0.12 vs. 0.03). Despite strong seasonality in overall aerosol burden, decadal trends in AOD did not exhibit similarly large seasonal differences; data show AOD decreasing between 2001 and 2015 during both summer and winter and in both the MISR and CALIOP datasets. Between 2001 and 2015, the average summertime aerosol optical depth (AOD) from MISR fell from 0.23 to 0.15, and the trend was -0.05 decade-1 (23% decade-1). The fit was statistically significant, with an r2=0.53. Measurement campaigns such as SEAC4RC will be extensively leveraged, which can be utilized to validate aerosol type retrieved from satellite observations. This work is expected to improve our understanding of the seasonality and inter-annual variability of SEUS aerosols and justify the existence and species of increased aerosol production aloft over the region.

  5. MISR Views the Middle East

    NASA Technical Reports Server (NTRS)

    2000-01-01

    This image, generated using 16 orbits of MISR data collected between August 16 and August 30, 2000, takes us to the cradle of many civilizations. The data are from the 60-degree aftward-viewing camera. Because the individual orbit swaths are only 400 kilometers wide, they were 'mosaiced' together to form this composite picture, which covers about 2700 kilometers from west to east and 1750 kilometers from north to south. A few discontinuities are present in the mosaic, particularly near clouds, due to changes in the scene which occurred between dates when the individual orbit data were acquired.

    At the northern tip of the Red Sea, the Gulf of Suez and the Gulf of Aqaba frame the sandy deserts and spectacular mountains of the Sinai Peninsula. The highest peaks are Gebel Katherina (Mountain of St. Catherine, 2637 meters) and Gebel Musa (Mountain of Moses, also known as Mount Sinai, 2285 meters). To the northeast, Israel and Jordan flank the Dead Sea, one of the saltiest inland water bodies in the world. At its northern edge is Qumran, where the ancient Scrolls were discovered; the city of Jerusalem lies about 30 kilometers to the west.

    Several large rivers are prominent. Flowing southeastward through Iraq are the Tigris and Euphrates. The dark area between the two rivers, northwest of the Persian Gulf, is a very fertile region where fishing and farming are prevalent. Wending its way through eastern Egypt is the Nile. In the south is Lake Nasser and the Aswan Dam; continuing northward the Nile passes the Temple of Luxor as it sharply loops to the east. It then turns west and northward, eventually passing the capital city of Cairo, and finally spreading into a prominent delta as it empties into the Mediterranean Sea. The bright dot just west of the apex of the delta marks the location of the great Pyramids and Sphinx complexes on the Giza Plateau. On the coast, west of the delta, is the ancient city of Alexandria, Egypt's main seaport.

    'MISR', as it turns out, is the transliteration of the Arabic name for Egypt.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  6. Monitoring the On-Orbit Calibration of Terra MODIS Reflective Solar Bands Using Simultaneous Terra MISR Observations

    NASA Technical Reports Server (NTRS)

    Angal, Amit; Xiong, Xiaoxiong; Wu, Aisheng

    2016-01-01

    On December 18, 2015, the Terra spacecraft completed 16 years of successful operation in space. Terra has five instruments designed to facilitate scientific measurements of the earths land, ocean, and atmosphere. The Moderate Resolution Imaging Spectroradiometer (MODIS) and the Multiangle Imaging Spectroradiometer (MISR) instruments provide information for the temporal studies of the globe. After providing over 16 years of complementary measurements, a synergistic use of the measurements obtained from these sensors is beneficial for various science products. The 20 reflective solar bands (RSBs) of MODIS are calibrated using a combination of solar diffuser and lunar measurements, supplemented by measurements from pseudoinvariant desert sites. MODIS views the on-board calibrators and the earth via a two-sided scan mirror at three spatial resolutions: 250 m using 40 detectors in bands 1 and 2, 500 m using 20 detectors in bands 3 and 4, and 1000 m using 10 detectors in bands 819 and 26. Simultaneous measurements of the earths surface are acquired in a push-broom fashion by MISR at nine view angles spreading out in the forward and backward directions along the flight path. While the swath width for MISR acquisitions is 360 km, MODIS scans a wider swath of 2330 km via its two-sided scan mirror. The reflectance of the MODIS scan mirror has an angle dependence characterized by the response versus scan angle (RVS). Its on-orbit change is derived using the gain from a combination of on-board and earth-view measurements. The on-orbit RVS for MODIS has experienced a significant change, especially for the short-wavelength bands. The on-orbit RVS change for the short-wavelength bands (bands 3, 8, and 9) at nadir is observed to be greater than 10 over the mission lifetime. Due to absence of a scanning mechanism, MISR can serve as an effective tool to evaluate and monitor the on-orbit performance of the MODIS RVS. Furthermore, it can also monitor the detector and scan-mirror differences for the MODIS bands using simultaneous measurements from earth-scene targets, e.g., North Atlantic Ocean and North African desert. Simultaneous measurements provide the benefit of minimizing the impact of earth-scene features while comparing the radiometric performance using vicarious techniques. Long-term observations of both instruments using select ground targets also provide an evaluation of the long-term calibration stability. The goal of this paper is to demonstrate the use of MISR to monitor and enhance the on-orbit calibration of the MODIS RSB. The radiometric calibration requirements for the MODIS RSB are +/- 2% in reflectance and +/- 5% in radiance at typical radiance levels within +/- 45 deg. of nadir. The results show that the long-term changes in the MODIS reflectance at nadir frames are generally within 1. The MODIS level 1B calibrated products, generated after correcting for the on-orbit changes in the gain and RVS, do not have any correction for changes in the instruments polarization sensitivity. The mirror-side-dependent polarization sensitivity exhibits an on-orbit change, primarily in the blue bands, that manifests in noticeable mirror side differences in the MODIS calibrated products. The mirror side differences for other RSB are observed to be less than 1%, therefore demonstrating an excellent on-orbit performance. The detector differences in the blue bands of MODIS exhibit divergence in recent years beyond 1%, and a calibration algorithm improvement has been identified to mitigate this effect. Short-term variations in the recent year caused by the forward updates were identified in bands 1 and 2 and are planned to be corrected in the next reprocess.

  7. The Size of Dust and Smoke

    NASA Technical Reports Server (NTRS)

    2005-01-01

    Desert dust particles tend to be larger in size than aerosols that originate from the processes of combustion. How precisely do the size of the aerosol particles comprising the dust that obscured the Red Sea on July 26, 2005, contrast with the size of the haze particles that obscured the United States eastern seaboard on the same day? NASA's Multi-angle Imaging SpectroRadiometer (MISR), which views Earth at nine different angles in four wavelengths, provides information about the amount, size, and shape of airborne particles. Here, MISR aerosol amount and size is presented for these two events. These MISR results distinguish desert dust, the most common non-spherical aerosol type, from pollution and forest fire particles. Determining aerosol characteristics is a key to understanding how aerosol particles influence the size, abundance, and rate of production of cloud droplets, and to a better understanding of how aerosols influence clouds and climate.

    The left panel of each of these two image sets (Red Sea, left; U.S. coastline, right) is a natural-color view from MISR's 70-degree forward viewing camera. The color-coded maps in the central panels show aerosol optical depth; the right panels provide a measure of aerosol size, expressed as the 'Angstrom exponent.' For the optical depth maps, yellow pixels indicate the most optically-thick aerosols, whereas the red, green and blue pixels represent progressively decreasing aerosol amounts. For this dramatic dust storm over the Red Sea, the aerosol is quite thick, and in some places, the dust over water is too optically thick for MISR to retrieve the aerosol amount. For the eastern seaboard haze, the thickest aerosols have accumulated over the Atlantic Ocean off the coasts of South Carolina and Georgia. Cases where no successful retrieval occurred, either due to extremely high aerosol optical thickness or to clouds, appear as dark gray pixels.

    For the Angstrom exponent maps, the blue and green pixels (smaller values) correspond with more large particles, whilst the yellow and red pixels, representing higher Angstrom exponents, correspond with more small particles. Angstrom exponent is related to the way the aerosol optical depth (AOD) changes with wavelength -- a more steeply decreasing AOD with wavelength indicates smaller particles. The greater the magnitude of the Angstrom exponent, the greater the contribution of smaller particles to the overall particle distribution. For optically thick desert dust storms, as in this case, the Angstrom exponent is expected to be relatively low -- likely below 1. For the eastern seaboard haze, the Angstrom exponent is significantly higher, indicating the relative abundance of small pollution particles, especially over the Atlantic where the aerosol optical depth is also very high.

    With a nearly simultaneous data acquisition time, the MODIS instrument also collected data for these events, and image features for both the dust storm and the haze are available.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously, viewing the entire globe between 82 north and 82 south latitude every nine days. This image covers an area of about 1,265 kilometers by 400 kilometers. These data products were generated from a portion of the imagery acquired during Terra orbits 29809 and 29814 and utilize data from blocks 60 to 67 and 71 to 78 within World Reference System-2 paths 17 and 170, respectively.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is managed for NASA by the California Institute of Technology.

  8. AirMSPI Data and Information

    Atmospheric Science Data Center

    2018-05-09

    AirMSPI Data and Information   Airborne Multi-angle Spectro Polarimetric ... where 3-D radiative transfer may dominate, and (b) enable retrieval of aerosol and cloud macrophysical properties (distribution, height), ... MISR Home Page DISCOVER-AQ Information AirMSPI Announcements MISR Data Table ...

  9. Chesapeake Bay

    Atmospheric Science Data Center

    2016-06-13

    ... including NASA's high-altitude ER-2 rocket plane and the University of Washington's Convair-580. At the same time, the Multi-angle ... of Cape Henry at the southern end of Chesapeake Bay, though it is not visible at the MISR resolution. The lower right image is a ...

  10. Iceland

    Atmospheric Science Data Center

    2013-04-17

    ... (visible in the lower right), and to several other lakes and geothermal areas. Hofsjökull (the Temple Glacier; 1760 meters) is the third ... the city, the "Bay of Smokes", is testimony to the region's geothermal activity. MISR was built and is managed by NASA's Jet Propulsion ...

  11. Japan Smoke

    Atmospheric Science Data Center

    2013-04-16

    ... is a stereoscopic "anaglyph" created from data in MISR's red spectral band, and generated by displaying the 46-degree backward view in red ... the surface. Viewing the anaglyph with red-cyan glasses (red filter over the left eye) gives a perception of height. No separation is ...

  12. Mystery #12 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... Imaging SpectroRadiometer (MISR) natural-color image of Russia's St. Petersburg was captured by the instrument's nadir camera on May ... The city in the south eastern portion of the image is Russia's St. Petersburg, which is the most northerly large city in the world at ...

  13. Iceland: Eyjafjallajökull Volcano

    Atmospheric Science Data Center

    2013-04-17

    ... background maritime particles are typically tiny spherical liquid droplets. In the last panel, the plume stands out relative to the ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA ...

  14. MISR Regional INTEX-B Products

    Atmospheric Science Data Center

    2016-08-24

    ... parameters from one Level 1 or Level 2 product. Further information about the Level 1 and Level 2 data products can be found on the  ... the  INTEX-B data table . Images available on this web site include the following parameters: Image Description ...

  15. Mystery #20

    Atmospheric Science Data Center

    2013-04-22

    ... commercial farms.   C.   One nation's government is planning to construct a high grade road northwards across the area, although it ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley ...

  16. MISR Views Florida

    NASA Image and Video Library

    2000-06-20

    A plume from a large brush fire that burned about 15,000 acres in 2000 is visible at the western edge of the Big Cypress Swamp in southern Florida. NASA Terra satellite captured acquired this image on April 9, 2000. 3D glasses are necessary.

  17. Gravity Waves

    Atmospheric Science Data Center

    2013-04-19

    ... or frontal activity. This image is centered over the Indian Ocean (at about 38.9° South, 80.6° East), and was acquired on October ... System-2 path 134. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission ...

  18. MISR File Naming and Versioning Conventions

    Atmospheric Science Data Center

    2013-06-26

    ... that generates that product. In addition, product version numbers were incremented if a new ancillary dataset was delivered that ... are applicable to two different temporal ranges. The version numbers 0005 and 0001 bear no relation to each other. For more details, please ...

  19. Oregon: Biscuit Wildfire

    Atmospheric Science Data Center

    2014-05-15

    ... SpectroRadiometer (MISR) portrays the fire underway and the burn scars on the landscape after the event. Vegetated regions appear red in ... the fire had been fully contained. A large, dark-colored burn scar at the site of the Biscuit Fire indicates the area consumed, which ...

  20. Tsunami: India

    Atmospheric Science Data Center

    2013-04-16

    ... Animation At 00:58:53 UTC (Coordinated Universal Time) on December 26, 2004, a magnitude 9.0 earthquake occurred off the west ... UTC, when the tide gauge indicated the arrival of another series of waves. Because MISR's nine cameras imaged the coast over a time span ...

  1. Deadly Fires Engulfing Madeira

    Atmospheric Science Data Center

    2016-12-30

    ... temperatures topping 95 degrees Fahrenheit and very dry weather. The entire island is only 30 miles (48 kilometers) from end to end, ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, Maryland. The MISR data were obtained from the ...

  2. MISR Regional VBBE Map Projection

    Atmospheric Science Data Center

    2013-03-26

    ... Imagery:   Overview  |  Products  |  Data Quality  | Map Projection |  File Format  |  View Data ... is needed if you are doing high precision work. The packages mentioned about (HDF-EOS library, GCTP, and IDL) all convert to and ...

  3. MISR Regional UAE2 Map Projection

    Atmospheric Science Data Center

    2013-03-26

    ... Imagery:  Overview  |  Products  |  Data Quality  | Map Projection |  File Format  |  View Data ... is needed if you are doing high precision work. The packages mentioned about (HDF-EOS library, GCTP, and IDL) all convert to and ...

  4. What is meant by Format Version? Product Version? Collection?

    Atmospheric Science Data Center

    2017-10-12

    The format Version is used to distinguish between software deliveries to ASDC that result in a product format change. The format version is given in the MISR data file name using the designator _Fnn_ where nn is the version number. ...

  5. Casting Light and Shadows on a Saharan Dust Storm

    NASA Technical Reports Server (NTRS)

    2003-01-01

    On March 2, 2003, near-surface winds carried a large amount of Saharan dust aloft and transported the material westward over the Atlantic Ocean. These observations from the Multi-angle Imaging SpectroRadiometer (MISR) aboard NASA's Terra satellite depict an area near the Cape Verde Islands (situated about 700 kilometers off of Africa's western coast) and provide images of the dust plume along with measurements of its height and motion. Tracking the three-dimensional extent and motion of air masses containing dust or other types of aerosols provides data that can be used to verify and improve computer simulations of particulate transport over large distances, with application to enhancing our understanding of the effects of such particles on meteorology, ocean biological productivity, and human health.

    MISR images the Earth by measuring the spatial patterns of reflected sunlight. In the upper panel of the still image pair, the observations are displayed as a natural-color snapshot from MISR's vertical-viewing (nadir) camera. High-altitude cirrus clouds cast shadows on the underlying ocean and dust layer, which are visible in shades of blue and tan, respectively. In the lower panel, heights derived from automated stereoscopic processing of MISR's multi-angle imagery show the cirrus clouds (yellow areas) to be situated about 12 kilometers above sea level. The distinctive spatial patterns of these clouds provide the necessary contrast to enable automated feature matching between images acquired at different view angles. For most of the dust layer, which is spatially much more homogeneous, the stereoscopic approach was unable to retrieve elevation data. However, the edges of shadows cast by the cirrus clouds onto the dust (indicated by blue and cyan pixels) provide sufficient spatial contrast for a retrieval of the dust layer's height, and indicate that the top of layer is only about 2.5 kilometers above sea level.

    Motion of the dust and clouds is directly observable with the assistance of the multi-angle 'fly-over' animation (Below). The frames of the animation consist of data acquired by the 70-degree, 60-degree, 46-degree and 26-degree forward-viewing cameras in sequence, followed by the images from the nadir camera and each of the four backward-viewing cameras, ending with 70-degree backward image. Much of the south-to-north shift in the position of the clouds is due to geometric parallax between the nine view angles (rather than true motion), whereas the west-to-east motion is due to actual motion of the clouds over the seven minutes during which all nine cameras observed the scene. MISR's automated data processing retrieved a primarily westerly (eastward) motion of these clouds with speeds of 30-40 meters per second. Note that there is much less geometric parallax for the cloud shadows owing to the relatively low altitude of the dust layer upon which the shadows are cast (the amount of parallax is proportional to elevation and a feature at the surface would have no geometric parallax at all); however, the westerly motion of the shadows matches the actual motion of the clouds. The automated processing was not able to resolve a velocity for the dust plume, but by manually tracking dust features within the plume images that comprise the animation sequence we can derive an easterly (westward) speed of about 16 meters per second. These analyses and visualizations of the MISR data demonstrate that not only are the cirrus clouds and dust separated significantly in elevation, but they exist in completely different wind regimes, with the clouds moving toward the east and the dust moving toward the west.

    [figure removed for brevity, see original site]

    (Click on image above for high resolution version)

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbit 17040. The panels cover an area of about 312 kilometers x 242 kilometers, and use data from blocks 74 to 77 within World Reference System-2 path 207.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory,Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  6. Drought in the Black Hills

    NASA Technical Reports Server (NTRS)

    2005-01-01

    [figure removed for brevity, see original site] Annotated Color-Coded Map

    Despite good rainfall and record-setting snowstorms in the spring of 2005, most of northeastern Wyoming, the Black Hills, and western South Dakota remain in the midst of a severe drought. This set of images and maps from NASA's Multi-angle Imaging SpectroRadiometer (MISR) contrast the appearance of the Black Hills region of northwestern South Dakota on July 12, 2000 (left column), with views acquired four years later, on July 14, 2004 (right column). The natural-color images along the top are from MISR's nadir (downward-looking) camera. The browning that appears in 2004 compared with 2000 indicates that the vigor of green vegetation was significantly diminished in 2004.

    The color-coded maps (along the bottom) provide a quantitative measurement of the sunlight reflected from these surfaces, and the loss of sunlight-absorbing vegetation between the 2000 and 2004 dates. As the vegetation faded with the drought, the albedo at the surface increased. Albedo measures the fraction of incident sunlight that is reflected by a surface, and can vary between zero (if all the incident sunlight is absorbed and none is reflected) and one (if all sunlight is reflected and none is absorbed). Dense forest has a low albedo; bright desert, snow and clouds, have a high albedo. Here, albedo is provided for the wavelengths of sunlight that plants use for photosynthesis (400 - 700 nanometers). This measurement is known as the albedo for Photosynthetically Active Radiation (PAR). Surfaces with greater absorption of PAR appear here in blue hues, whereas surfaces with lower absorption appear as green, yellow, orange or red. Black pixels indicate areas where albedo could not be derived, usually due to the presence of clouds. In July 2004, low albedo areas (blue pixels) are notably reduced in extent, and higher albedo areas (yellow, orange and red pixels) have increased.

    Because incoming sunlight is scattered by tiny particles in the atmosphere, satellite measurements of albedo and other surface properties must correct for the effects of the intervening atmosphere. These albedo retrievals make use of MISR's simultaneously derived aerosol properties to make these corrections. The multiangular nature of MISR data is also used to account for the fact that most surfaces reflect sunlight into all upward directions, with intensities that vary with angle of view.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82o north and 82o south latitude. This image area covers about 243 kilometers by 259 kilometers. These data products were generated from a portion of the imagery acquired during Terra orbits 3020 and 24325 and utilize data from within blocks 54 to 56 within World Reference System-2 paths 33 and 34.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  7. California Fires

    Atmospheric Science Data Center

    2014-05-15

    article title:  Wildfires Rage in Southern California     ... Image Large plumes of smoke rising from devastating wildfires burning near Los Angeles and San Diego on Sunday, October 26, 2003, ... at JPL October 26, 2003 - Smoke from wildfires near Los Angeles and San Diego. project:  MISR ...

  8. Mystery #23 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... Which one is true?   A.   There is an active uranium mining site within the image area.   B.   Coal has been in continuous ... NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science ...

  9. Mystery #23

    Atmospheric Science Data Center

    2013-04-22

    ... Which one is true?   A.   There is an active uranium mining site within the image area.   B.   Coal has been in continuous ... NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science ...

  10. Mystery #6

    Atmospheric Science Data Center

    2013-04-22

    ... series of wave-like points and curls form "cusps" on the inner shores of the lagoon. Which ONE of the following is most responsible for ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA ...

  11. Hurricane Sandy

    Atmospheric Science Data Center

    2015-03-05

    ... and New England. In this region, the low-level winds are coming from the east, pushing water toward the coast, leading to calls for ... in the area. The upper-level winds seen by MISR are coming from the south, with much greater strength. Some of the wind speeds ...

  12. Hurricane Matthew over Haiti seen by NASA's MISR

    Atmospheric Science Data Center

    2017-04-18

    ... but part of the Bahamas is visible to the north. Several hot towers are visible within the central part of the storm, and another at the top right of the image. Hot towers are enormous thunderheads that punch through the tropopause (the ...

  13. Middle East Composite

    Atmospheric Science Data Center

    2013-04-16

    ... and farming are prevalent. Wending its way through eastern Egypt is the Nile. In the south is Lake Nasser and the Aswan Dam; continuing ... coast, west of the delta, is the ancient city of Alexandria, Egypt's main seaport. "MISR", as it turns out, is the transliteration of ...

  14. Morocco and Algeria

    Atmospheric Science Data Center

    2013-04-15

    ... mosaic of southwestern Europe and northwestern Morocco and Algeria. The image extends from 48°N, 16°W in the northwest to 32°N, 8°E in ... corner. The rugged Atlas Mountain ranges traverse northern Algeria and Morocco. The Multi-angle Imaging SpectroRadiometer (MISR) ...

  15. MISR Level 3 Land Surface and Aerosol Versioning

    Atmospheric Science Data Center

    2016-11-04

    ... in the Level 2 product can frequently occur over snow/ice fields due to low spatial contrast and also as a consequence of inadequate ... Many such blunders have been observed over Greenland and Antarctica. Therefore, these two geographic areas are currently being excluded ...

  16. James Bay

    Atmospheric Science Data Center

    2013-04-17

    article title:  Hudson Bay and James Bay, Canada   ... which scatters more light in the backward direction. This example illustrates how multi-angle viewing can distinguish physical structures ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  17. NASA MISR Images Gulf of Mexico Oil Slick

    NASA Image and Video Library

    2010-05-06

    This image from NASA Terra satellite was acquired on May 1, 2010. The red symbol indicates the approximate position of the Deepwater Horizon platform and the source of the oil slick which resulted in a significant oil spill in the Gulf of Mexico.

  18. Mystery #20 Answer

    Atmospheric Science Data Center

    2013-04-22

    ... commercial farms.   C.   One nation's government is planning to construct a high grade road northwards across the area, although it ... D.C. The Terra spacecraft is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley ...

  19. Hurricane Ida

    Atmospheric Science Data Center

    2013-04-18

    article title:  Hurricane Ida Cross-Track Winds       ... (MISR) instrument on NASA's Terra satellite passed over Hurricane Ida while it was situated between western Cuba and the Yucatan Peninsula. According to the National Hurricane Center, at 15:00 UTC, the hurricane had an estimated minimum central ...

  20. Smoke from California's Sand and Soberanes Fires

    Atmospheric Science Data Center

    2016-12-30

    ...   At right is a map of aerosol optical depth, a quantitative measure of the smoke abundance in the atmosphere, derived from the ... Maryland. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center, Hampton, Virginia. JPL is a ...

  1. Maintenance Downtime June 2-9, 2014

    Atmospheric Science Data Center

    2014-06-02

    ... tools will be unavailable:   Down June 2nd – 4th:   ASDC Subsetters: CALIPSO, CERES, MOPITT, TES CD Rom & Video ... ordered data GEWEX HTML Order Tool Down June 4th: The Data Pool, MISR order and browse tools, Reverb, and AMAPS will ...

  2. Pine Island Bay movie

    Atmospheric Science Data Center

    2014-08-01

    ... between successive frames is not uniform. The flow of the glacier, widening of the rift, and subsequent break-off of the iceberg are ... a gap in image acquisition during Antarctic winter, when the glacier was in continuous darkness. MISR was built and is managed by NASA's ...

  3. Pine Island Glacier, Antarctica, MISR Multi-angle Composite

    NASA Image and Video Library

    2013-11-15

    NASA Terra satellite passed over the Pine Island Glacier in Antarctica around Oct. 27, 2013, just days before iceberg B-31 broke completely free. B-31 is finally moving away from the coast, with open water between the iceberg and the glacier.

  4. MISR Regional SAMUM Map Projection

    Atmospheric Science Data Center

    2017-03-29

    ... Regional Imagery:  Overview  |  Products  |  Data Quality  | Map Projection |  File Format  |  View Data  |  ... is needed if you are doing high precision work. The packages mentioned about (HDF-EOS library, GCTP, and IDL) all convert to and ...

  5. MISR Level 3 Radiance Versioning

    Atmospheric Science Data Center

    2016-11-04

    ... ESDT Product File Name Prefix Current Quality Designations MIL3DRD, MIL3MRD, MIL3QRD, and MIL3YRD ... Data Product Specification Rev K  (PDF). Update to work with new format of the input PGE 1 files.   F02_0007 ...

  6. NASA MISR Images Tsunami Inundation Along Japan Eastern Coast

    NASA Image and Video Library

    2011-03-12

    The extent of inundation from the destructive and deadly tsunami triggered by the March 11, 2011, magnitude 8.9 earthquake centered off Japan northeastern coast east of the city of Sendai is revealed in this image pair from NASA Terra spacecraft.

  7. MISR Views Northern Australia

    NASA Technical Reports Server (NTRS)

    2000-01-01

    MISR images of tropical northern Australia acquired on June 1, 2000 (Terra orbit 2413) during the long dry season. Left: color composite of vertical (nadir) camera blue, green, and red band data. Right: multi-angle composite of red band data only from the cameras viewing 60 degrees aft, 60 degrees forward, and nadir. Color and contrast have been enhanced to accentuate subtle details. In the left image, color variations indicate how different parts of the scene reflect light differently at blue, green, and red wavelengths; in the right image color variations show how these same scene elements reflect light differently at different angles of view. Water appears in blue shades in the right image, for example, because glitter makes the water look brighter at the aft camera's view angle. The prominent inland water body is Lake Argyle, the largest human-made lake in Australia, which supplies water for the Ord River Irrigation Area and the town of Kununurra (pop. 6500) just to the north. At the top is the southern edge of Joseph Bonaparte Gulf; the major inlet at the left is Cambridge Gulf, the location of the town of Wyndham (pop. 850), the port for this region. This area is sparsely populated, and is known for its remote, spectacular mountains and gorges. Visible along much of the coastline are intertidal mudflats of mangroves and low shrubs; to the south the terrain is covered by open woodland merging into open grassland in the lower half of the pictures.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  8. ISSARS Aerosol Database : an Incorporation of Atmospheric Particles into a Universal Tool to Simulate Remote Sensing Instruments

    NASA Technical Reports Server (NTRS)

    Goetz, Michael B.

    2011-01-01

    The Instrument Simulator Suite for Atmospheric Remote Sensing (ISSARS) entered its third and final year of development with an overall goal of providing a unified tool to simulate active and passive space borne atmospheric remote sensing instruments. These simulations focus on the atmosphere ranging from UV to microwaves. ISSARS handles all assumptions and uses various models on scattering and microphysics to fill the gaps left unspecified by the atmospheric models to create each instrument's measurements. This will help benefit mission design and reduce mission cost, create efficient implementation of multi-instrument/platform Observing System Simulation Experiments (OSSE), and improve existing models as well as new advanced models in development. In this effort, various aerosol particles are incorporated into the system, and a simulation of input wavelength and spectral refractive indices related to each spherical test particle(s) generate its scattering properties and phase functions. These atmospheric particles being integrated into the system comprise the ones observed by the Multi-angle Imaging SpectroRadiometer(MISR) and by the Multiangle SpectroPolarimetric Imager(MSPI). In addition, a complex scattering database generated by Prof. Ping Yang (Texas A&M) is also incorporated into this aerosol database. Future development with a radiative transfer code will generate a series of results that can be validated with results obtained by the MISR and MSPI instruments; nevertheless, test cases are simulated to determine the validity of various plugin libraries used to determine or gather the scattering properties of particles studied by MISR and MSPI, or within the Single-scattering properties of tri-axial ellipsoidal mineral dust particles database created by Prof. Ping Yang.

  9. MISR Sees the Sierra Nevadas in Stereo

    NASA Technical Reports Server (NTRS)

    2000-01-01

    These MISR images of the Sierra Nevada mountains near the California-Nevada border were acquired on August 12, 2000 during Terra orbit 3472. On the left is an image from the vertical-viewing (nadir) camera. On the right is a stereo 'anaglyph' created using the nadir and 45.6-degree forward-viewing cameras, providing a three-dimensional view of the scene when viewed with red/blue glasses. The red filter should be placed over your left eye. To facilitate the stereo viewing, the images have been oriented with north toward the left.

    Some prominent features are Mono Lake, in the center of the images; Walker Lake, to its left; and Lake Tahoe, near the lower left. This view of the Sierra Nevadas includes Yosemite, Kings Canyon, and Sequoia National Parks. Mount Whitney, the highest peak in the contiguous 48 states (elev. 14,495 feet), is visible near the righthand edge. Above it (to the east), the Owens Valley shows up prominently between the Sierra Nevada and Inyo ranges.

    Precipitation falling as rain or snow on the Sierras feeds numerous rivers flowing southwestward into the San Joaquin Valley. The abundant fields of this productive agricultural area can be seen along the lower right; a large number of reservoirs that supply water for crop irrigation are apparent in the western foothills of the Sierras. Urban areas in the valley appear as gray patches; among the California cities that are visible are Fresno, Merced, and Modesto.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  10. MISR Scans the Texas-Oklahoma Border

    NASA Technical Reports Server (NTRS)

    2000-01-01

    These MISR images of Oklahoma and north Texas were acquired on March 12, 2000 during Terra orbit 1243. The three images on the left, from top to bottom, are from the 70-degree forward viewing camera, the vertical-viewing (nadir) camera, and the 70-degree aftward viewing camera. The higher brightness, bluer tinge, and reduced contrast of the oblique views result primarily from scattering of sunlight in the Earth's atmosphere, though some color and brightness variations are also due to differences in surface reflection at the different angles. The longer slant path through the atmosphere at the oblique angles also accentuates the appearance of thin, high-altitude cirrus clouds.

    On the right, two areas from the nadir camera image are shown in more detail, along with notations highlighting major geographic features. The south bank of the Red River marks the boundary between Texas and Oklahoma. Traversing brush-covered and grassy plains, rolling hills, and prairies, the Red River and the Canadian River are important resources for farming, ranching, public drinking water, hydroelectric power, and recreation. Both originate in New Mexico and flow eastward, their waters eventually discharging into the Mississippi River.

    A smoke plume to the north of the Ouachita Mountains and east of Lake Eufaula is visible in the detailed nadir imagery. The plume is also very obvious at the 70-degree forward view angle, to the right of center and about one-fourth of the way down from the top of the image.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  11. Icebergs Adrift in the Amundsen Sea

    NASA Technical Reports Server (NTRS)

    2002-01-01

    The Thwaites Ice Tongue is a large sheet of glacial ice extending from the West Antarctic mainland into the southern Amundsen Sea. A large crack in the Thwaites Tongue was discovered in imagery from Terra's Moderate Resolution Imaging Spectroradiometer (MODIS). Subsequent widening of the crack led to the calving of a large iceberg. The development of this berg, designated B-22 by the National Ice Center, can be observed in these images from the Multi-angle Imaging SpectroRadiometer, also aboard Terra. The two views were acquired by MISR's nadir (vertical-viewing) camera on March 10 and 24, 2002. The B-22 iceberg, located below and to the left of image center, measures approximately 82 kilometers long x 62 kilometers wide. Comparison of the two images shows the berg to have drifted away from the ice shelf edge. The breakup of ice near the shelf edge, in the area surrounding B-22, is also visible in the later image. These natural-color images were acquired during Terra orbits 11843 and 12047, respectively. At the right-hand edge is Pine Island Bay, where the calving of another large iceberg (B-21) occurred in November 2001. B-21 subsequently split into two smaller bergs, both of which are visible to the right of B-22. Antarctic researchers have reported an increase in the frequency of iceberg calvings in recent years. Whether this is the result of a regional climate variation, or connected to the global warming trend, has not yet been established. MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology. Image credit: NASA/GSFC/LaRC/JPL, MISR Team.

  12. NASA's MISR Spots Alaskan Volcano's Latest Eruption

    NASA Image and Video Library

    2017-06-02

    The tiny Aleutian island of Bogoslof in Alaska, erupting regularly since December 2016, produced fresh activity on Sunday, May 28, 2017. Bogoslof is a stratovolcano fueled by the subduction of the Pacific Plate under the North American Plate and forms part of the larger Aleutian Arc, which includes more than 60 volcanoes on the Aleutian Islands and the Aleutian Range on the Alaska mainland. Previous to its recent period of activity, Bogoslof had last erupted in 1992, and its above-water surface area was a mere 0.11 square miles (0.29 square kilometers). As of March 11, the most recent data available, the area of the island had tripled to 0.38 square miles (0.98 square kilometers). The event on May 28 produced an ash cloud that reached 40,000 feet (12 km) in altitude, causing the Alaskan Volcano Observatory to issue a red alert for air travel in the area. Volcanic ash can cause major damage to aircraft engines, and the region is close to several major air routes between North America and Asia. On May 28, 2017, at approximately 2:23 p.m. local time, NASA's Terra satellite passed over Bogoslof, less than 10 minutes after the eruption began. MISR has nine cameras that view Earth at different angles. It takes slightly less than seven minutes for all nine cameras to view the same location on Earth. An animation made from the images from the nine MISR cameras, captured between 2:19 and 2:26 p.m., demonstrates how the angled views give a glimpse of the underside of the growing plume of volcanic ash, showing the eruption column widening into the cloud at the top. The animation is available at https://photojournal.jpl.nasa.gov/catalog/PIA21655

  13. Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade

    NASA Astrophysics Data System (ADS)

    Alston, E. J.; Sokolik, I. N.; Kalashnikova, O. V.

    2011-12-01

    This study examines how aerosols measured from the ground and space over the US Southeast change temporally over a regional scale during the past decade. PM2.5 data consist of two datasets that represent the measurements that are used for regulatory purposes by the US EPA and continuous measurements used for quickly disseminating air quality information. AOD data comes from three NASA sensors: the MODIS sensors onboard Terra and Aqua satellites and the MISR sensor onboard the Terra satellite. We analyze all available data over the state of Georgia from 2000-2009 of both types of aerosol data. The analysis reveals that during the summer the large metropolitan area of Atlanta has average PM2.5 concentrations that are 50% more than the remainder of the state. Strong seasonality is detected in both the AOD and PM2.5 datasets; as evidenced by a threefold increase of AOD from mean winter values to mean summer values, and the increase in PM2.5 concentrations is almost twofold from over the same period. Additionally, there is good agreement between MODIS and MISR onboard the Terra satellite during the spring and summer having correlation coefficients of 0.64 and 0.71, respectively. Monthly anomalies were used to determine the presence of a trend in all considered aerosol datasets. We found negative linear trends in both the monthly AOD anomalies from MODIS onboard Terra and the PM2.5 datasets, which are statistically significant for α = 0.05. Decreasing trends were also found for MISR onboard Terra and MODIS onboard Aqua, but those trends were not statistically significant.

  14. Using Satellite Aerosol Retrievals to Monitor Surface Particulate Air Quality

    NASA Technical Reports Server (NTRS)

    Levy, Robert C.; Remer, Lorraine A.; Kahn, Ralph A.; Chu, D. Allen; Mattoo, Shana; Holben, Brent N.; Schafer, Joel S.

    2011-01-01

    The MODIS and MISR aerosol products were designed nearly two decades ago for the purpose of climate applications. Since launch of Terra in 1999, these two sensors have provided global, quantitative information about column-integrated aerosol properties, including aerosol optical depth (AOD) and relative aerosol type parameters (such as Angstrom exponent). Although primarily designed for climate, the air quality (AQ) community quickly recognized that passive satellite products could be used for particulate air quality monitoring and forecasting. However, AOD and particulate matter (PM) concentrations have different units, and represent aerosol conditions in different layers of the atmosphere. Also, due to low visible contrast over brighter surface conditions, satellite-derived aerosol retrievals tend to have larger uncertainty in urban or populated regions. Nonetheless, the AQ community has made significant progress in relating column-integrated AOD at ambient relative humidity (RH) to surface PM concentrations at dried RH. Knowledge of aerosol optical and microphysical properties, ambient meteorological conditions, and especially vertical profile, are critical for physically relating AOD and PM. To make urban-scale maps of PM, we also must account for spatial variability. Since surface PM may vary on a finer spatial scale than the resolution of standard MODIS (10 km) and MISR (17km) products, we test higher-resolution versions of MODIS (3km) and MISR (1km research mode) retrievals. The recent (July 2011) DISCOVER-AQ campaign in the mid-Atlantic offers a comprehensive network of sun photometers (DRAGON) and other data that we use for validating the higher resolution satellite data. In the future, we expect that the wealth of aircraft and ground-based measurements, collected during DISCOVER-AQ, will help us quantitatively link remote sensed and ground-based measurements in the urban region.

  15. Remote Sensing of the Radiative and Microphysical Properties of Clouds during TC4: Results from MAS, MASTER, MODIS, and MISR

    NASA Technical Reports Server (NTRS)

    King, Michael D.; Platnick, Steven; Wind, Galina; Arnold, George T.; Ackerman, Steven A.; Frey, Richard

    2007-01-01

    The MODIS Airborne Simulator (MAS) and MODIS/ASTER Airborne Simulator (MASTER) were used to obtain measurements of the bidirectional reflectance and brightness temperature of clouds at 50 discrete wavelengths between 0.47 and 14.3 (12.9 m for MASTER). These observations were obtained from the NASA ER-2 aircraft as part of the Tropical Composition, Clouds and Climate Coupling Experiment (TC4) conducted over Central America and surrounding Pacific and Atlantic Oceans between July 17 and August 8, 2007. Multispectral images in eight distinct bands were used to derive a confidence in clear sky (or alternatively the probability of cloud) over land and ocean ecosystems. Based on the results of individual tests run as part of this cloud mask, an algorithm was developed to estimate the phase of the clouds (liquid water, ice, or undetermined phase). Finally, the cloud optical thickness and effective radius were derived for both liquid water and ice clouds that were detected during each flight, using a nearly identical algorithm as that implemented operationally to process MODIS cloud data from the Aqua and Terra satellites (Collection 5). This analysis shows that the cloud mask developed for operational use on MODIS, and tested using MAS and MASTER date in TC4, is quite capable of distinguishing both liquid water and ice clouds during daytime conditions over both land and ocean. The cloud optical thickness and effective radius retrievals used three distinct bands of the MAS (or MASTER), and these results were compared with nearly simultaneous retrievals of MODIS on the Terra spacecraft. Finally, this MODIS-based algorithm was adapted to MISR data to infer the cloud optical thickness of liquid water clouds from MISR. Results of this analysis will be presented and discussed.

  16. Vegetation canopy structure from NASA EOS multiangle imaging

    USDA-ARS?s Scientific Manuscript database

    We used red band bidirectional reflectance data from the NASA Multiangle Imaging SpectroRadiometer (MISR) and the MODerate resolution Imaging Spectroradiometer (MODIS) mapped onto a 250 m grid in a multiangle approach to obtain estimates of woody plant fractional cover and crown height through adjus...

  17. Hurricane Lilli

    Atmospheric Science Data Center

    2014-05-15

    article title:  Hurricane Lili Heads for Louisiana Landfall     ... Image Characteristics of a strengthening Category 3 Hurricane Lili are apparent in these images from the Multi-angle Imaging ... (MISR), including a well-developed clearing at the hurricane eye. When these views were acquired on October 2, 2002, Lili was ...

  18. South African Particulates

    Atmospheric Science Data Center

    2013-04-16

    article title:  Airborne Particulates over Southern Africa ... correspond to places where a result was not obtained, for example, due to the presence of clouds. Extensive burning of grass and ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  19. Northern Australia

    Atmospheric Science Data Center

    2013-04-16

    article title:  Tropical Northern Australia   ... view. Water appears in blue shades in the right image, for example, because glitter makes the water look brighter at the aft camera's view ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  20. NASA MISR Instrument Captures View of Mountain Fire Near Idyllwild, Calif.

    NASA Image and Video Library

    2013-07-20

    NASA Terra spacecraft passed over the Mountain Fire near Idyllwild, Calif., on Jul. 17, 2013. Los Angeles and the Pacific Ocean can been seen to the left and the Salton Sea is the dark feature in the right center of the image.

  1. Improving Aerosol and Visibility Forecasting Capabilities Using Current and Future Generations of Satellite Observations

    DTIC Science & Technology

    2015-08-27

    and 2) preparing for the post-MODIS/MISR era using the Geostationary Operational Environmental Satellite (GOES). 3. Improve model representations of...meteorological property retrievals. In this study, using collocated data from Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Geostationary

  2. Accurate Biomass Estimation via Bayesian Adaptive Sampling

    NASA Technical Reports Server (NTRS)

    Wheeler, Kevin R.; Knuth, Kevin H.; Castle, Joseph P.; Lvov, Nikolay

    2005-01-01

    The following concepts were introduced: a) Bayesian adaptive sampling for solving biomass estimation; b) Characterization of MISR Rahman model parameters conditioned upon MODIS landcover. c) Rigorous non-parametric Bayesian approach to analytic mixture model determination. d) Unique U.S. asset for science product validation and verification.

  3. MISR Regional INTEX-B Map Projection

    Atmospheric Science Data Center

    2016-09-28

    ... Regional Imagery:  Overview  |  Products  |  Data Quality  | Map Projection |  File Format  |  View Data  |  ... is needed if you are doing high precision work. The packages mentioned about (HDF-EOS library, GCTP, and IDL) all convert to and ...

  4. MISR Regional GoMACCS Map Projection

    Atmospheric Science Data Center

    2017-03-29

    ... Regional Imagery:  Overview  |  Products  |  Data Quality  | Map Projection |  File Format  |  View Data  |  ... is needed if you are doing high precision work. The packages mentioned about (HDF-EOS library, GCTP, and IDL) all convert to and ...

  5. What MISR products are currently available? What is meant by Level 1, 2, and 3 data products?

    Atmospheric Science Data Center

    2014-12-08

    Level 3 globally gridded products became available in July 2002. Level 2 cloud, aerosol, and land surface products became available in February 2001. Level 1 products are available from February 24, 2000 to present. These include...

  6. Comparative Analysis of Aerosol Retrievals from MODIS, OMI and MISR Over Sahara Region

    NASA Technical Reports Server (NTRS)

    Lyapustin, A.; Wang, Y.; Hsu, C.; Terres, O.; Leptoukh, G.; Kalashnikova, O.; Korkin, S.

    2011-01-01

    MODIS is a wide field-of-view sensor providing daily global observations of the Earth. Currently, global MODIS aerosol retrievals over land are performed with the main Dark Target algorithm complimented with the Deep Blue (DB) Algorithm over bright deserts. The Dark Target algorithm relies on surface parameterization which relates reflectance in MODIS visible bands with the 2.1 micrometer region, whereas the Deep Blue algorithm uses an ancillary angular distribution model of surface reflectance developed from the time series of clear-sky MODIS observations. Recently, a new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm has been developed for MODIS. MAIAC uses a time series and an image based processing to perform simultaneous retrievals of aerosol properties and surface bidirectional reflectance. It is a generic algorithm which works over both dark vegetative surfaces and bright deserts and performs retrievals at 1 km resolution. In this work, we will provide a comparative analysis of DB, MAIAC, MISR and OMI aerosol products over bright deserts of northern Africa.

  7. Aerosol Mapping From Space: Strengths, Limitations, and Applications

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph

    2010-01-01

    The aerosol data products from the NASA Earth Observing System's MISR and MODIS instruments provide significant advances in regional and global aerosol optical depth (AOD) mapping, aerosol type measurement, and source plume characterization from space. These products have been and are being used for many applications, ranging from regional air quality assessment, to aerosol air mass type identification and evolution, to wildfire smoke injection height and aerosol transport model validation. However, retrieval uncertainties and coverage gaps still limit the quantitative constraints these satellite data place on some important questions, such as global-scale long-term trends and direct aerosol radiative forcing. Major advances in these areas seem to require a different paradigm, involving the integration of satellite with suborbital data and with models. This presentation will briefly summarize where we stand, and what incremental improvements we can expect, with the current MISR and MODIS aerosol products, and will then elaborate on some initial steps aimed at the necessary integration of satellite data with data from other sources and with chemical transport models.

  8. Longwave Radiative Forcing of Saharan Dust Aerosols Estimated from MODIS, MISR and CERES Observations on Terra

    NASA Technical Reports Server (NTRS)

    Zhang, Jiang-Long; Christopher, Sundar A.

    2003-01-01

    Using observations from the Multi-angle Imaging Spectroradiometer (MISR), the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Clouds and the Earth's Radiant Energy System (CERES) instruments onboard the Terra satellite; we present a new technique for studying longwave (LW) radiative forcing of dust aerosols over the Saharan desert for cloud-free conditions. The monthly-mean LW forcing for September 2000 is 7 W/sq m and the LW forcing efficiency' (LW(sub eff)) is 15 W/sq m. Using radiative transfer calculations, we also show that the vertical distribution of aerosols and water vapor are critical to the understanding of dust aerosol forcing. Using well calibrated, spatially and temporally collocated data sets, we have combined the strengths of three sensors from the same satellite to quantify the LW radiative forcing, and show that dust aerosols have a "warming" effect over the Saharan desert that will counteract the shortwave "cooling effect" of aerosols.

  9. Maryland: La Plata

    Atmospheric Science Data Center

    2014-05-15

    article title:  Tornado Cuts Through La Plata, Maryland     View Larger Image A category F4 tornado tore through La Plata, Maryland on April 28, 2002, killing 5 and ... illustrates the strip of flattened vegetation left by the tornado. The lower image was acquired by MISR's nadir (vertical-viewing) ...

  10. Red Sea

    Atmospheric Science Data Center

    2013-04-16

    article title:  The Red Sea     View Larger Image ... Imaging SpectroRadiometer (MISR) image of the Red Sea was acquired on August 13, 2000. Located between the East African coast and the Saudi Arabian peninsula, the Red Sea got its name because the blooms of a type of algae,  Trichodesmium ...

  11. Hurricane Isaac

    Atmospheric Science Data Center

    2014-05-15

    ... scale. At the time of the overpass, MISR recorded low-level wind speeds of up to 75 miles per hour (65 knots) from cloud motion observed ... moist air at low levels in the atmosphere, convert it into energy in the form of wind and rain, and then eject cool, dry air at high ...

  12. Georgian Bay

    Atmospheric Science Data Center

    2013-04-17

    article title:  Georgian Bay in Ontario, Canada   ... Bright areas in the image are either cloud or ice; an example of the latter is the frozen Lake Simcoe. The eight monochrome ... MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image ...

  13. Hurricane Isabel

    Atmospheric Science Data Center

    2013-04-19

    article title:  Aspects of Hurricane Isabel     View Larger Image Cloud-top radiance and height characteristics of Hurricane Isabel are depicted in these data products and animations from the ... Imaging SpectroRadiometer (MISR). Isabel was upgraded to hurricane status a few hours after the top image panels in this set were ...

  14. Missouri: St. Louis

    Atmospheric Science Data Center

    2014-05-15

    ... side, are highlighted with green vegetation. Meandering rivers in the verdant Ozark Plateau appear to the south and west. This ... data were obtained from the NASA Langley Research Center Atmospheric Science Data Center in Hampton, VA. Image credit: ... October 15, 2005 - Green vegetation and meandering rivers. project:  MISR category:  gallery ...

  15. Smoke from Colorado Wildfires

    NASA Technical Reports Server (NTRS)

    2002-01-01

    The Hayman fire, situated about 65 kilometers southwest of Denver, Colorado, is the largest fire ever recorded in that state. The amount and distribution of smoke from the Hayman fire and from the Ponil Complex fires south of the New Mexico-Colorado border are portrayed in these views from the Multi-angle Imaging SpectroRadiometer (MISR). The images were captured on June 9, 2002, on the second day of the Hayman fire, when only about 13 percent of the total 137,000 acres eventually consumed had been scorched.

    The image at top-left was acquired by MISR's most oblique (70-degree) forward-viewing camera, and the view at bottom-left was captured by MISR's 26-degree forward-viewing camera. Both left-hand panels are 'false color' views, utilizing near-infrared, red, and blue spectral bands displayed as red, green and blue respectively. With this spectral combination, highly vegetated areas appear red. At top right is a map of aerosol optical depth. This map utilizes the capability of the oblique view angles to measure the abundance of particles in the atmosphere. Haze distributed across the eastern part of the state is indicated by a large number of green pixels, and areas where no retrieval occurred are shown in dark grey. The more oblique perspective utilized within the top panels enhances the appearance of smoke and reveals the haze. In the lower left-hand panel the view is closer to nadir (downward-looking). Here the smoke plumes appear more compact and the haze across eastern Colorado is not detected. The lower right-hand panel is a stereoscopically derived height field that echoes the compact shape of the smoke plumes in the near-nadir image. Results indicate that the smoke plumes reached altitudes of a few kilometers above the surface terrain, or about the same height as the small clouds that appear orange along the bottom edge to the left of center.

    Data used in these visualizations were generated as part of operational processing at the Atmospheric Sciences Data Center at NASA Langley Research Center. The images were acquired during Terra orbit 13170 and cover an area of about 400 kilometers x 565 kilometers. They utilize data from blocks 58 to 61 within World Reference System-2 path 32.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  16. Fingerprints in the Dust

    NASA Technical Reports Server (NTRS)

    2001-01-01

    These MISR nadir-camera images of eastern China compare a somewhat hazy summer view from July 9, 2000 (left) with a spectacularly dusty spring view from April 7, 2001 (middle). The left-hand and middle images are from Terra orbits 2967 and 6928, respectively, and extend from central Manchuria near the top to portions of North and South Korea at the bottom. They are approximately 380 kilometers in width.

    Asia's desert areas are prone to soil erosion, as underground water tables are lowered by prolonged drought and by industrial and agricultural water use. Heavy winds blowing eastward across the arid and sparsely vegetated surfaces of Mongolia and western China pick up large quantities of yellow dust. Airborne dust clouds from the April 2001 storm blew across the Pacific Ocean and were carried as far as North America. The minerals transported in this manner are believed to provide nutrients for both oceanic and land ecosystems.

    According to the Xinhua News Agency in China, nearly one million tons of Gobi Desert dust blow into Beijing each year. During a similar dust outbreak last year, the Associated Press reported that the visibility in Beijing had been reduced the point where buildings were barely visible across city streets, and airline schedules were significantly disrupted. The dust has also been implicated in adverse health effects such as respiratory discomfort and eye irritation.

    The image on the right is a higher resolution MISR nadir-camera view of a portion of the April 7, 2001 dust cloud. It covers an area roughly 250 kilometers wide by 470 kilometers high. When viewed at full magnification, a number of atmospheric wave features, like the ridges and valleys of a fingerprint, are apparent. These are probably induced by surface topography, which can disturb the wind flow. A few small cumulus clouds are also visible, and are casting shadows on the thick lower dust layer.

    Analyses of images such as these constitute one phase of MISR's participation in the Asian-Pacific Regional Aerosol Characterization Experiment, an international campaign aimed at studying the offshore transport of airborne particles from the Asian continent. For more about this international endeavor, see http://saga.pmel.noaa.gov/aceasia/.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  17. Typhoon Sinlaku

    NASA Technical Reports Server (NTRS)

    2002-01-01

    One of the more destructive cyclones to emerge from the northern hemisphere 2002 summer storm season was Typhoon Sinlaku. Several attributes of this storm event are portrayed in these data products from the Multi-angle Imaging SpectroRadiometer. The images were acquired on September 5, when the western portion of the storm was situated over the Okinawan island chain. Over the next few days it moved west-northwest, sweeping over Taiwan before making landfall along China's Zhejian province on the 7th. The typhoon forced hundreds of thousands of people from their homes, caused major power outages, and at least 26 people were reported dead or missing before the storm weakened as it moved inland.

    While the nature and formation of individual storm events is relatively well understood, the influence of clouds on climate is difficult to assess due to the variable nature of cloud cover at various altitudes. MISR's data products are designed to help understand these influences. Typhoon Sinlaku is shown at left as a natural-color view observed by MISR's vertical-viewing (nadir)camera. The center panel shows the cloud-top height field derived using automated stereoscopic processing of data from multiple MISR cameras. Relative height variations, such as the clearing within the storm's eye, are well represented. Areas where heights could not be retrieved are shown in dark gray.

    Clouds have a significant influence on the global radiation balance of the Earth's atmosphere, and the improvement of climate models requires more accurate information on how different types of clouds influence Earth's energy budget. One measure of this influence is albedo, which is the amount of sunlight reflected back to space divided by amount of incident sunlight. Bright objects have high albedo. Retrieved local albedo values for Typhoon Sinlaku are shown at right. Generation of this product is dependent on observed cloud radiances as a function of viewing angle and the cloud height field. Over the short distances (2.2 kilometers) that MISR's local albedo product is generated, values can be greater than 1.0 due to the contributions from the sides of the clouds. Areas where albedo could not be retrieved are shown in dark gray.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously from pole to pole, and views almost the entire globe every 9 days. This image is a portion of the data acquired during Terra orbit 14442, and covers an area of about 380 kilometers x 1408 kilometers. It utilizes data from blocks 65 to 74 within World Reference System-2 path 113.

  18. V2.2_i6 L2AS Detailed Release Description November 27, 2002

    Atmospheric Science Data Center

    2013-03-14

    ... Increase the valid range of BHR and DHR from 1.0 to 1.05. This affects the scaling factors which are used to unscale the ... for heterogeneous surfaces to give a larger residual if (rho_misr - rho_model) becomes negative. In the land surface retrieval, ...

  19. Validating the MISR radiometric scale for the ocean aerosol science communities

    NASA Technical Reports Server (NTRS)

    Bruegge, Carol J.; Abdou, Wedad; Diner, David J.; Gaitley, Barbara; Helmlinger, Mark; Kahn, Ralph; Martonchik, John V.

    2004-01-01

    This paper validates that radiometric accuracy is maintained throughout the dynamic range of the instrument. As part of this study, a new look has been taken on the band-relative scale, and a decrease in the radiance reported for the Red and NIR Bands has resulted.

  20. NASA's MISR Instrument Captures View of Mountain Fire Near Idyllwild, Calif.

    Atmospheric Science Data Center

    2014-05-15

    ... in the western United States, fueled by severe and extreme drought conditions and high daytime temperatures. As of July 19, 2013, the ... began on July 15 in the San Jacinto Wilderness in Southern California, had grown to more than 24,800 acres (nearly 39 square miles, or 100 ...

  1. ESTIMATING GROUND LEVEL PM 2.5 IN THE EASTERN UNITED STATES USING SATELLITE REMOTE SENSING

    EPA Science Inventory

    An empirical model based on the regression between daily average final particle (PM2.5) concentrations and aerosol optical thickness (AOT) measurements from the Multi-angle Imaging SpectroRadiometer (MISR) was developed and tested using data from the eastern United States during ...

  2. MISR HDF-to-Binary Converter and Radiance/BRF Calculation Tools

    Atmospheric Science Data Center

    2013-04-01

    ... to have the HDF and HDF-EOS libraries for the target computer. The HDF libraries are available from  The HDF Group (THG) . The ... and the HDF-EOS include and library files on the target computer. The following files are included in the distribution tar file for ...

  3. A Three-Way Street: MISR and MODIS Provide Context, SEAC4RS Provides Detail and Validation, Models Complete the Picture

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph A.

    2014-01-01

    The Transported Smoke Survey had three objectives: to evaluate imager and polarimeter sensitivity to smoke properties (remote sensing validation); to study characteristics of transported smoke (chemistry/transport); and to assess rediative impact of smoke layers (radiation closure).

  4. Summer Harvest in Saratov, Russia

    NASA Technical Reports Server (NTRS)

    2002-01-01

    Russia's Saratov Oblast (province) is located in the southeastern portion of the East-European plain, in the Lower Volga River Valley. Southern Russia produces roughly 40 percent of the country's total agricultural output, and Saratov Oblast is the largest producer of grain in the Volga region. Vegetation changes in the province's agricultural lands between spring and summer are apparent in these images acquired on May 31 and July 18, 2002 (upper and lower image panels, respectively) by the Multi-angle Imaging SpectroRadiometer (MISR).

    The left-hand panels are natural color views acquired by MISR's vertical-viewing (nadir) camera. Less vegetation and more earth tones (indicative of bare soils) are apparent in the summer image (lower left). Farmers in the region utilize staggered sowing to help stabilize yields, and a number of different stages of crop maturity can be observed. The main crop is spring wheat, cultivated under non-irrigated conditions. A short growing season and relatively low and variable rainfall are the major limitations to production. Saratov city is apparent as the light gray pixels on the left (west) bank of the Volga River. Riparian vegetation along the Volga exhibits dark green hues, with some new growth appearing in summer.

    The right-hand panels are multi-angle composites created with red band data from MISR's 60-degree backward, nadir and 60-degree forward-viewing cameras displayed as red, green and blue respectively. In these images, color variations serve as a proxy for changes in angular reflectance, and the spring and summer views were processed identically to preserve relative variations in brightness between the two dates. Urban areas and vegetation along the Volga banks look similar in the two seasonal multi-angle composites. The agricultural areas, on the other hand, look strikingly different. This can be attributed to differences in brightness and texture between bare soil and vegetated land. The chestnut-colored soils in this region are brighter in MISR's red band than the vegetation. Because plants have vertical structure, the oblique cameras observe a greater proportion of vegetation relative to the nadir camera, which sees more soil. In spring, therefore, the scene is brightest in the vertical view and thus appears with an overall greenish hue. In summer, the soil characteristics play a greater role in governing the appearance of the scene, and the angular reflectance is now brighter at the oblique view angles (displayed as red and blue), thus imparting a pink color to much of the farmland and a purple color to areas along the banks of several narrow rivers. The unusual appearance of the clouds is due to geometric parallax which splits the imagery into spatially separated components as a consequence of their elevation above the surface.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously from pole to pole, and views almost the entire globe every 9 days. These images are a portion of the data acquired during Terra orbits 13033 and 13732, and cover an area of about 173 kilometers x 171 kilometers. They utilize data from blocks 49 to 50 within World Reference System-2 path 170.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  5. MISR Level 3 Imagery Overview

    Atmospheric Science Data Center

    2016-10-06

    ... is located at (90 N, 180 W) with the center of that grid cell being located at (89.75 N, 179.75 W). Conversely, the lower-right hand ... of the image is located at (90 S, 180 E) with that given cell being centered at (89.75 S, 179.75 E). In addition, select variances and ...

  6. A strategy for compression and analysis of massive geophysical data sets

    NASA Technical Reports Server (NTRS)

    Braverman, A.

    2001-01-01

    This paper describes a method for summaraizing data in a way that approximately preserves high-resolution data structure while reducing data volume and maintaining global integrity of very large, remote sensing data sets. The method is under development for one of Terra's instruments, the Multi-angle Imaging SpectroRadiometer (MISR).

  7. MAPPING ANNUAL MEAN GROUND-LEVEL PM2.5 CONCENTRATIONS USING MULTIANGLE IMAGING SPECTRORADIOMETER AEROSOL OPTICAL THICKNESS OVER THE CONTIGUOUS UNITED STATES

    EPA Science Inventory

    We present a simple approach to estimating ground-level fine particle (PM2.5, particles smaller than 2.5 um in diameter) concentration using global atmospheric chemistry models and aerosol optical thickness (AOT) measurements from the Multi- angle Imaging SpectroRadiometer (MISR)...

  8. The Nile

    NASA Technical Reports Server (NTRS)

    2001-01-01

    This image of the northern portion of the Nile River was captured by MISR's nadir camera on January 30, 2001 (Terra orbit 5956). The Nile is the longest river in the world, extending for about 6700 kilometers from its headwaters in the highlands of eastern Africa.

    At the apex of the fertile Nile River Delta is the Egyptian capital city of Cairo. To the west are the Great Pyramids of Giza. North of here the Nile branches into two distributaries, the Rosetta to the west and the Damietta to the east.

    Also visible in this image is the Suez Canal, a shipping waterway connecting Port Said on the Mediterranean Sea with the Gulf of Suez. The Gulf is an arm of the Red Sea, and is located on the righthand side of the picture.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  9. Multi-Sensor Approach for Assessing the Taiga-Tundra Boundary

    NASA Technical Reports Server (NTRS)

    Ranson, K. J.; Sun, G.; Kharuk, V. I.; Kovacs, K.

    2003-01-01

    Monitoring the dynamics of the tundra-taiga boundary is critical for our understanding of the causes and consequences of the changes in this area. Because of its inaccessibility, remote sensing data will play an important role. In this study we examined the use of several remote sensing techniques for identifying the existing tundra-taiga ecotone. These include Landsat, MISR and RADARSAT data. High-resolution IKONOS images were used for local ground truth. It was found that on Landsat ETM+ summer images, reflectance from tundra and taiga at band 4 (NIR) is similar, but different at other bands such as red, and MIR bands. When the incidence angle is small, C-band HH-pol backscattering coefficients from both tundra and taiga are relatively high. The backscattering from tundra targets decreases faster than taiga targets when the incidence angle increases, because the tundra targets look smoother than taiga. Because of the shading effect of the vegetation, the MISR data, both multi-spectral data at nadir looking and multi-angle data at red and NIR bands, clearly show the transition zone.

  10. Tropical Storms Bud and Dera

    NASA Technical Reports Server (NTRS)

    2002-01-01

    Like dancers pirouetting in opposite directions, the rotational patterns of two different tropical storms are contrasted in this pair of Multi-angle Imaging Spectroradiometer (MISR) nadir-camera images. The left-hand image is of Tropical Storm Bud, acquired on June 17, 2000 (Terra orbit 2656) as the storm was dissipating. Bud was situated in the eastern Pacific Ocean between Socorro Island and the southern tip of Baja California. South of the storm's center is a vortex pattern caused by obstruction of the prevailing flow by tiny Socorro Island. Sonora, Mexico and Baja California are visible at the top of the image. The right-hand image is of Tropical Cyclone Dera, acquired on March 12, 2001. Dera was located in the Indian Ocean, south of Madagascar. The southern end of this large island is visible in the top portion of this image. Northern hemisphere tropical storms, like Bud, rotate in a counterclockwise direction, whereas those in the southern hemisphere, such as Dera, rotate clockwise. The opposite spins are a consequence of Earth's rotation. Each image covers a swath approximately 380 kilometers wide. Image courtesy NASA/JPL/GSFC/LaRC, MISR Team

  11. Cloud Height Maps for Hurricanes Frances and Ivan

    NASA Technical Reports Server (NTRS)

    2004-01-01

    NASA's Multi-angle Imaging SpectroRadiometer (MISR) captured these images and cloud-top height retrievals of Hurricane Frances on September 4, 2004, when the eye sat just off the coast of eastern Florida, and Hurricane Ivan on September 5th, after this cyclone had devastated Grenada and was heading toward the central and western Caribbean. Hurricane Frances made landfall in the early hours of September 5, and was downgraded to Tropical Storm status as it swept inland through the Florida panhandle and continued northward. On the heels of Frances is Hurricane Ivan, which is on record as the strongest tropical cyclone to form at such a low latitude in the Atlantic, and was the most powerful hurricane to have hit the Caribbean in nearly a decade.

    The ability of forecasters to predict the intensity and amount of rainfall associated with hurricanes still requires improvement, especially on the 24 to 48 hour timescale vital for disaster planning. To improve the operational models used to make hurricane forecasts, scientists need to better understand the multi-scale interactions at the cloud, mesoscale and synoptic scales that lead to hurricane intensification and dissipation, and the various physical processes that affect hurricane intensity and rainfall distributions. Because these uncertainties with regard to how to represent cloud processes still exist, it is vital that the model findings be evaluated against hurricane observations whenever possible. Two-dimensional maps of cloud height such as those shown here offer an unprecedented opportunity for comparing simulated cloud fields against actual hurricane observations.

    The left-hand panel in each image pair is a natural color view from MISR's nadir camera. The right-hand panels are cloud-top height retrievals produced by automated computer recognition of the distinctive spatial features between images acquired at different view angles. These results indicate that at the time that these images were acquired, clouds within Frances and Ivan had attained altitudes of 15 kilometers and 16 kilometers above sea level, respectively. The height fields pictured here are uncorrected for the effects of cloud motion. Wind-corrected heights (which have higher accuracy but sparser spatial coverage) are within about 1 kilometer of the heights shown here.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82o north and 82o south latitude. These data products were generated from a portion of the imagery acquired during Terra orbits 25081 and 25094. The panels cover an area of 380 kilometers x 924 kilometers, and utilize data from within blocks 65 to 87 within World Reference System-2 paths 14 and 222, respectively.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California In

  12. Western United States and Southwestern Canada

    NASA Technical Reports Server (NTRS)

    2003-01-01

    This natural-color image from the Multi-angle Imaging SpectroRadiometer (MISR) captures the beauty of the western United States and Canada. Data from 45 swaths from MISR's vertical-viewing (nadir) camera were combined to create this cloud-free mosaic. The image extends from 48o N 128o W in the northwest, to 32oN, 104o W in the southeast, and has been draped over a shaded relief Digital Terrain Elevation Model from the United States Geological Survey.

    The image area includes much of British Columbia, Alberta and Saskatchewan in the north, and extends southward to California, Arizona and New Mexico. The snow-capped Rocky Mountains are a prominent feature extending through British Columbia, Montana, Wyoming, Colorado and New Mexico. Many major rivers originate in the Columbia Plateau region of Washington, Oregon and Idaho. The Colorado Plateau region is characterized by the vibrant red-colored rocks of the Painted Desert in Utah and Arizona, and in New Mexico, White Sands National Park is the large white feature in the Southeast corner of the image with the Malpais lava flow just to its North. The southwest is dominated by the Mojave Desert of California and Nevada, California's San Joaquin Valley, the Los Angeles basin and the Pacific Ocean.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously from pole to pole, and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. This data product was generated from a portion of the imagery acquired during 2000-2002. The panels utilize data from blocks 45 to 65 within World Reference System-2 paths 31 to 53.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  13. Statistical intercomparison and validation of multisensory aerosol optical depth retrievals over three AERONET sites in Kenya, East Africa

    NASA Astrophysics Data System (ADS)

    Boiyo, Richard; Kumar, K. Raghavendra; Zhao, Tianliang

    2017-11-01

    Over the last two decades, a number of space-borne sensors have been used to retrieve aerosol optical depth (AOD). The reliability of these datasets over East Africa (EA), however, is an important issue in the interpretation of regional aerosol variability. This study provides an intercomparison and validation of AOD retrievals from the MODIS-Terra (DT and DB), MISR and OMI sensors against ground-based measurements from the AERONET over three sites (CRPSM_Malindi, Nairobi, and ICIPE_Mbita) in Kenya, EA during the periods 2008-2013, 2005-2009 and 2006-2015, respectively. The analysis revealed that MISR performed better over the three sites with about 82.5% of paired AOD data falling within the error envelope (EE). MODIS-DT showed good agreement against AERONET with 59.05% of paired AOD falling within the sensor EE over terrestrial surfaces with relatively high vegetation cover. The comparison between MODIS-DB and AERONET revealed an overall lower performance with lower Gfraction (48.93%) and lower correlation r = 0.58; while AOD retrieved from OMI showed less correspondence with AERONET data with lower Gfraction (68.89%) and lowest correlation r = 0.31. The monthly evaluation of AODs retrieved from the sensors against AERONET AOD indicates that MODIS-DT has the best performance over the three sites with highest correlation (0.71-0.84), lowest RMSE and spread closer to the AERONET. Regarding seasonal analysis, MISR performed well during most seasons over Nairobi and Mbita; while MODIS-DT performed better than all other sensors during most seasons over Malindi. Furthermore, the best seasonal performance of most sensors relative to AERONET data occurred during June-August (JJA) attributed to modulations induced by a precipitation-vegetation factor to AOD satellite retrieval algorithms. The study revealed the strength and weakness of each of the retrieval algorithm and forms the basis for further research on the validation of satellite retrieved aerosol products over EA.

  14. Reducing Errors in Satellite Simulated Views of Clouds with an Improved Parameterization of Unresolved Scales

    NASA Astrophysics Data System (ADS)

    Hillman, B. R.; Marchand, R.; Ackerman, T. P.

    2016-12-01

    Satellite instrument simulators have emerged as a means to reduce errors in model evaluation by producing simulated or psuedo-retrievals from model fields, which account for limitations in the satellite retrieval process. Because of the mismatch in resolved scales between satellite retrievals and large-scale models, model cloud fields must first be downscaled to scales consistent with satellite retrievals. This downscaling is analogous to that required for model radiative transfer calculations. The assumption is often made in both model radiative transfer codes and satellite simulators that the unresolved clouds follow maximum-random overlap with horizontally homogeneous cloud condensate amounts. We examine errors in simulated MISR and CloudSat retrievals that arise due to these assumptions by applying the MISR and CloudSat simulators to cloud resolving model (CRM) output generated by the Super-parameterized Community Atmosphere Model (SP-CAM). Errors are quantified by comparing simulated retrievals performed directly on the CRM fields with those simulated by first averaging the CRM fields to approximately 2-degree resolution, applying a "subcolumn generator" to regenerate psuedo-resolved cloud and precipitation condensate fields, and then applying the MISR and CloudSat simulators on the regenerated condensate fields. We show that errors due to both assumptions of maximum-random overlap and homogeneous condensate are significant (relative to uncertainties in the observations and other simulator limitations). The treatment of precipitation is particularly problematic for CloudSat-simulated radar reflectivity. We introduce an improved subcolumn generator for use with the simulators, and show that these errors can be greatly reduced by replacing the maximum-random overlap assumption with the more realistic generalized overlap and incorporating a simple parameterization of subgrid-scale cloud and precipitation condensate heterogeneity. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. SAND NO. SAND2016-7485 A

  15. Inter-comparison of model-simulated and satellite-retrieved componential aerosol optical depths in China

    NASA Astrophysics Data System (ADS)

    Li, Shenshen; Yu, Chao; Chen, Liangfu; Tao, Jinhua; Letu, Husi; Ge, Wei; Si, Yidan; Liu, Yang

    2016-09-01

    China's large aerosol emissions have major impacts on global climate change as well as regional air pollution and its associated disease burdens. A detailed understanding of the spatiotemporal patterns of aerosol components is necessary for the calculation of aerosol radiative forcing and the development of effective emission control policy. Model-simulated and satellite-retrieved aerosol components can support climate change research, PM2.5 source appointment and epidemiological studies. This study evaluated the total and componential aerosol optical depth (AOD) from the GEOS-Chem model (GC) and the Global Ozone Chemistry Aerosol Radiation and Transport model (GOCART), and the Multiangle Imaging Spectroradiometer (MISR) from 2006 to 2009 in China. Linear regression analysis between the GC and AErosol RObotic NETwork (AERONET) in China yielded similar correlation coefficients (0.6 daily, 0.71 monthly) but lower slopes (0.41 daily, 0.58 monthly) compared with those in the U.S. This difference was attributed to GC's underestimation of water-soluble AOD (WAOD) west of the Heihe-Tengchong Line, the dust AOD (DAOD) in the fall and winter, and the soot AOD (SAOD) throughout the year and throughout the country. GOCART exhibits the strongest dust estimation capability among all datasets. However, the GOCART soot distribution in the Northeast and Southeast has significant errors, and its WAOD in the polluted North China Plain (NCP) and the South is underestimated. MISR significantly overestimates the water-soluble aerosol levels in the West, and does not capture the high dust loadings in all seasons and regions, and the SAOD in the NCP. These discrepancies can mainly be attributed to the uncertainties in the emission inventories of both models, the poor performance of GC under China's high aerosol loading conditions, the omission of certain aerosol tracers in GOCART, and the tendency of MISR to misidentify dust and non-dust mixtures.

  16. Southern California Wildfires Observed by NASA MISR

    NASA Image and Video Library

    2016-06-24

    The Los Angeles area is currently suffering the effects of three major wildfires that are blanketing the area with smoke. Over the past few days, Southern California has experienced record-breaking temperatures, topping 110 degrees Fahrenheit in some cities. The heat, in combination with offshore winds, helped to stoke the Sherpa Fire west of Santa Barbara, which has been burning since June 15, 2016. Over the weekend of June 18-19, this fire rapidly expanded in size, forcing freeway closures and evacuations of campgrounds and state beaches. On Monday, June 20, two new fires ignited in the San Gabriel Mountains north of Azusa and Duarte, together dubbed the San Gabriel Complex Fire. They have burned more than 4,900 acres since June 20, sending up plumes of smoke visible to many in the Los Angeles basin and triggering air quality warnings. More than 1,400 personnel have been battling the blazes in the scorching heat, and evacuations were ordered for neighborhoods in the foothills. On June 21, the Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite captured this view of the San Gabriel Mountains and Los Angeles Basin from its 46-degree forward-viewing camera, which enhances the visibility of the smoke compared to the more conventional nadir (vertical) view. The width of this image is about 75 miles (120 kilometers) across. Smoke from the San Gabriel Complex Fire is visible at the very right of the image. Stereoscopic analysis of MISR's multiple camera angles is used to compute the height of the smoke plume from the San Gabriel Complex Fire. In the right-hand image, these heights are superimposed on the underlying image. The color scale shows that the plume is not much higher than the surrounding mountains. As a result, much of the smoke is confined to the local area. http://photojournal.jpl.nasa.gov/catalog/PIA20718

  17. Characterization, validation and intercomparison of clumping index maps from POLDER, MODIS, and MISR satellite data over reference sites

    NASA Astrophysics Data System (ADS)

    Pisek, Jan; He, Liming; Chen, Jing; Govind, Ajit; Sprintsin, Michael; Ryu, Youngryel; Arndt, Stefan; Hocking, Darren; Wardlaw, Timothy; Kuusk, Joel; Oliphant, Andrew; Korhonen, Lauri; Fang, Hongliang; Matteucci, Giorgio; Longdoz, Bernard; Raabe, Kairi

    2015-04-01

    Vegetation foliage clumping significantly alters its radiation environment and therefore affects vegetation growth as well as water and carbon cycles. The clumping index is useful in ecological and meteorological models because it provides new structural information in addition to the effective leaf area index (LAI) retrieved from mono-angle remote sensing and allows accurate separation of sunlit and shaded leaves in the canopy. Not accounting for the foliage clumping in LAI retrieval algorithms leads to substantial underestimation of actual LAI, especially for needleleaf forests. Normalized Difference between Hotspot and Darkspot (NDHD) index has been previously used to retrieve global clumping index maps from POLarization and Directionality of the Earth's Reflectances (POLDER) data at ~6 km resolution, from Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product at 500 m resolution. Most recently the algorithm was applied with Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution over selected areas. In this presentation we characterize and intercompare the three products over a set of sites representing diverse biomes and different canopy structures. The products are also directly validated with both in-situ vertical profiles and seasonal trajectories of clumping index. We illustrate that the vertical distribution of foliage and especially the effect of understory needs to be taken into account while validating foliage clumping products from remote sensing products with values measured in the field. Satellite measurements respond to the structural effects near the top of canopies, while ground measurements may be biased by the lower vegetation layers. Additionally, caution should be taken regarding the misclassification in land cover maps as their errors can be propagated into the foliage clumping maps. Our results indicate that MODIS data and MISR data with 275 m in particular can provide good quality clumping index estimates at pertinent scales for modeling local carbon and energy fluxes.

  18. Characterization, Validation and Intercomparison of Clumping Index Maps from POLDER, MODIS, and MISR Satellite Data Over Reference Sites

    NASA Astrophysics Data System (ADS)

    Pisek, J.; He, L.; Chen, J. M.; Govind, A.; Sprintsin, M.; Ryu, Y.; Arndt, S. K.; Hocking, D.; Wardlaw, T.; Kuusk, J.; Oliphant, A. J.; Korhonen, L.; Fang, H.; Matteucci, G.; Longdoz, B.; Raabe, K.

    2015-12-01

    Vegetation foliage clumping significantly alters its radiation environment and therefore affects vegetation growth as well as water and carbon cycles. The clumping index is useful in ecological and meteorological models because it provides new structural information in addition to the effective leaf area index (LAI) retrieved from mono-angle remote sensing and allows accurate separation of sunlit and shaded leaves in the canopy. Not accounting for the foliage clumping in LAI retrieval algorithms leads to substantial underestimation of actual LAI, especially for needleleaf forests. Normalized Difference between Hotspot and Darkspot (NDHD) index has been previously used to retrieve global clumping index maps from POLarization and Directionality of the Earth's Reflectances (POLDER) data at ~6 km resolution, from Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product at 500 m resolution. Most recently the algorithm was applied with Multi-angle Imaging SpectroRadiometer (MISR) data at 275 m resolution over selected areas. In this presentation we characterize and intercompare the three products over a set of sites representing diverse biomes and different canopy structures. The products are also directly validated with both in-situ vertical profiles and seasonal trajectories of clumping index. We illustrate that the vertical distribution of foliage and especially the effect of understory needs to be taken into account while validating foliage clumping products from remote sensing products with values measured in the field. Satellite measurements respond to the structural effects near the top of canopies, while ground measurements may be biased by the lower vegetation layers. Additionally, caution should be taken regarding the misclassification in land cover maps as their errors can be propagated into the foliage clumping maps. Our results indicate that MODIS data and MISR data with 275 m resolution in particular can provide good quality clumping index estimates at pertinent scales for modeling local carbon and energy fluxes.

  19. Australia's Great Barrier Reef

    NASA Technical Reports Server (NTRS)

    2001-01-01

    The Great Barrier Reef extends for 2,000 kilometers along the northeastern coast of Australia. It is not a single reef, but a vast maze of reefs, passages, and coral cays (islands that are part of the reef). This nadir true-color image was acquired by the MISR instrument on August 26, 2000 (Terra orbit 3679), and shows part of the southern portion of the reef adjacent to the central Queensland coast. The width of the MISR swath is approximately 380 kilometers, with the reef clearly visible up to approximately 200 kilometers from the coast. It may be difficult to see the myriad details in the browse image, but if you retrieve the higher resolution version, a zoomed display reveals the spectacular structure of the many reefs.

    The more northerly coastal area in this image shows the vast extent of sugar cane cultivation, this being the largest sugar producing area in Australia, centered on the city of Mackay. Other industries in the area include coal, cattle, dairying, timber, grain, seafood, and fruit. The large island off the most northerly part of the coast visible in this image is Whitsunday Island, with smaller islands and reefs extending southeast, parallel to the coast. These include some of the better known resort islands such as Hayman, Lindeman, Hamilton, and Brampton Islands.

    Further south, just inland of the small semicircular bay near the right of the image, is Rockhampton, the largest city along the central Queensland coast, and the regional center for much of central Queensland. Rockhampton is just north of the Tropic of Capricorn. Its hinterland is a rich pastoral, agricultural, and mining region.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  20. Tropical Cyclone Monty Strikes Western Australia

    NASA Technical Reports Server (NTRS)

    2004-01-01

    The Multi-angle Imaging SpectroRadiometer (MISR) acquired these natural color images and cloud top height measurements for Monty before and after the storm made landfall over the remote Pilbara region of Western Australia, on February 29 and March 2, 2004 (shown as the left and right-hand image sets, respectively). On February 29, Monty was upgraded to category 4 cyclone status. After traveling inland about 300 kilometers to the south, the cyclonic circulation had decayed considerably, although category 3 force winds were reported on the ground. Some parts of the drought-affected Pilbara region received more than 300 millimeters of rainfall, and serious and extensive flooding has occurred.

    The natural color images cover much of the same area, although the right-hand panels are offset slightly to the east. Automated stereoscopic processing of data from multiple MISR cameras was utilized to produce the cloud-top height fields. The distinctive spatial patterns of the clouds provide the necessary contrast to enable automated feature matching between images acquired at different view angles. The height retrievals are at this stage uncorrected for the effects of the high winds associated with cyclone rotation. Areas where heights could not be retrieved are shown in dark gray.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously and every 9 days views the entire globe between 82 degrees north and 82 degrees south latitude. These data products were generated from a portion of the imagery acquired during Terra orbits 22335 and 22364. The panels cover an area of about 380 kilometers x 985 kilometers, and utilize data from blocks 105 to 111 within World Reference System-2 paths 115 and 113.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  1. Coherent Uncertainty Analysis of Aerosol Measurements from Multiple Satellite Sensors

    NASA Technical Reports Server (NTRS)

    Petrenko, M.; Ichoku, C.

    2013-01-01

    Aerosol retrievals from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS altogether, a total of 11 different aerosol products were comparatively analyzed using data collocated with ground-based aerosol observations from the Aerosol Robotic Network (AERONET) stations within the Multi-sensor Aerosol Products Sampling System (MAPSS, http://giovanni.gsfc.nasa.gov/mapss/ and http://giovanni.gsfc.nasa.gov/aerostat/). The analysis was performed by comparing quality-screened satellite aerosol optical depth or thickness (AOD or AOT) retrievals during 2006-2010 to available collocated AERONET measurements globally, regionally, and seasonally, and deriving a number of statistical measures of accuracy. We used a robust statistical approach to detect and remove possible outliers in the collocated data that can bias the results of the analysis. Overall, the proportion of outliers in each of the quality-screened AOD products was within 12%. Squared correlation coefficient (R2) values of the satellite AOD retrievals relative to AERONET exceeded 0.6, with R2 for most of the products exceeding 0.7 over land and 0.8 over ocean. Root mean square error (RMSE) values for most of the AOD products were within 0.15 over land and 0.09 over ocean. We have been able to generate global maps showing regions where the different products present advantages over the others, as well as the relative performance of each product over different landcover types. It was observed that while MODIS, MISR, and SeaWiFS provide accurate retrievals over most of the landcover types, multi-angle capabilities make MISR the only sensor to retrieve reliable AOD over barren and snow / ice surfaces. Likewise, active sensing enables CALIOP to retrieve aerosol properties over bright-surface shrublands more accurately than the other sensors, while POLDER, which is the only one of the sensors capable of measuring polarized aerosols, outperforms other sensors in certain smoke-dominated regions, including broadleaf evergreens in Brazil and South-East Asia.

  2. Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade

    NASA Astrophysics Data System (ADS)

    Alston, E. J.; Sokolik, I. N.; Kalashnikova, O. V.

    2012-07-01

    This study examines how aerosols measured from the ground and space over the US Southeast change temporally over a regional scale during the past decade. PM2.5 (particulate matter with aerodynamic diameter >2.5 micrometers) data consist of two datasets that represent the measurements that are used for regulatory purposes by the US EPA (Environmental Protection Agency) and continuous measurements used for quickly disseminating air quality information. AOD (aerosol optical depth) data come from three NASA sensors: the MODIS sensors onboard Terra and Aqua satellites and the MISR sensor onboard the Terra satellite. We analyze all available data over the state of Georgia from 2000-2009 of both types of aerosol data. The analysis reveals that during the summer the large metropolitan area of Atlanta has average PM2.5 concentrations that are 50% more than the remainder of the state. Strong seasonality is detected in both the AOD and PM2.5 datasets, as evidenced by a threefold increase of AOD from mean winter values to mean summer values, and the increase in PM2.5 concentrations is almost twofold over the same period. Additionally, there is agreement between MODIS and MISR onboard the Terra satellite during the spring and summer, having correlation coefficients of 0.64 and 0.71, respectively. Monthly anomalies were used to determine the presence of a trend in all considered aerosol datasets. We found negative linear trends for both the monthly AOD anomalies from MODIS onboard Terra and the PM2.5 datasets, which are statistically significant. Decreasing trends were also found for MISR onboard Terra and MODIS onboard Aqua, but those trends were not statistically significant. The observed decrease in AOD and PM2.5 concentrations may be indicative of the brightening over the study region during the past decade.

  3. MISR Looks at Sydney and the Southeastern Australia Coast

    NASA Technical Reports Server (NTRS)

    2000-01-01

    This image from MISR's nadir-looking camera was acquired on July 11, 2000 (Terra orbit 3009) and shows a 200-kilometer section of the eastern Australian coast, centered around the Sydney metropolitan area. This city is host to the 2000 Olympics Games, which open Friday, September 15. Sydney Harbour is the rugged-shaped inlet toward the northern side of the grey-colored central city area. Olympic Park, the main venue for the Games, is on a southern arm of the harbor, about 20 kilometers from the coast.

    The areas to the north, west, and south of Sydney are characterized by rugged terrain and extensive forests. Just north of the city the Ku-ring-gai Chase and Brisbane Waters National Parks surround the Hawkesbury River estuary. Further north and separated from the ocean by narrow dunes are a series of lakes, the two largest in this image being Lake Macquarie (at the top) and Tuggerah Lake.

    West of the metropolitan area, some 65 kilometers inland, are the Blue Mountains. The primary transport corridor for road and rail across the mountains is clearly visible, and just north of it is the steep-sided Grose River valley. In the southern part of the mountains is a series of long valleys filled by Lake Burragorang, a major source of Sydney's water supply.

    South of Sydney's central area are Botany Bay, Bate Bay and Port Hacking, and the Royal National Park. Further south, the forested coastline gives way to the city of Wollongong, the adjacent steel-making complex at Port Kembla, and Lake Illawarra.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  4. Remote Sensing of Radiative and Microphysical Properties of Clouds During TC (sup 4): Results from MAS, MASTER, MODIS, and MISR

    NASA Technical Reports Server (NTRS)

    King, Michael D.; Platnick, Steven; Wind, Galina; Arnold, G. Thomas; Dominguez, Roseanne T.

    2010-01-01

    The Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) and MODIS/Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Airborne Simulator (MASTER) were used to obtain measurements of the bidirectional reflectance and brightness temperature of clouds at 50 discrete wavelengths between 0.47 and 14.2 microns (12.9 microns for MASTER). These observations were obtained from the NASA ER-2 aircraft as part of the Tropical Composition, Cloud and Climate Coupling (TC4) experiment conducted over Central America and surrounding Pacific and Atlantic Oceans between 17 July and 8 August 2007. Multispectral images in eleven distinct bands were used to derive a confidence in clear sky (or alternatively the probability Of cloud) over land and ocean ecosystems. Based on the results of individual tests run as part of the cloud mask, an algorithm was developed to estimate the phase of the clouds (liquid water, ice, or undetermined phase). The cloud optical thickness and effective radius were derived for both liquid water and ice clouds that were detected during each flight, using a nearly identical algorithm to that implemented operationally to process MODIS Cloud data from the Aqua and Terra satellites (Collection 5). This analysis shows that the cloud mask developed for operational use on MODIS, and tested using MAS and MASTER data in TC(sup 4), is quite capable of distinguishing both liquid water and ice clouds during daytime conditions over both land and ocean. The cloud optical thickness and effective radius retrievals use five distinct bands of the MAS (or MASTER), and these results were compared with nearly simultaneous retrievals of marine liquid water clouds from MODIS on the Terra spacecraft. Finally, this MODIS-based algorithm was adapted to Multiangle Imaging SpectroRadiometer (MISR) data to infer the cloud optical thickness Of liquid water clouds from MISR. Results of this analysis are compared and contrasted.

  5. Fog and Haze in California's San Joaquin Valley

    NASA Technical Reports Server (NTRS)

    2001-01-01

    This illustration features images of southern California and southwestern Nevada acquired on January 3, 2001 (Terra orbit 5569), and includes data from three of MISR's nine cameras. The San Joaquin Valley, which comprises the southern extent of California's Central Valley, covers much of the viewed area. Also visible are several of the Channel Islands near the bottom, and Mono and Walker Lakes, which stand out as darker patches near the top center, especially in the vertical and backward oblique images. Near the lower right of each image is the Los Angeles Basin, with the distinctive chevron shape of the Mojave Desert to its north.

    The Central Valley is a well-irrigated and richly productive agricultural area situated between the Coast Range and the snow-capped Sierra Nevadas. During the winter, the region is noted for its hazy overcasts and a low, thick ground fog known as the Tule. Owing to the effects of the atmosphere on reflected sunlight, dramatic differences in the MISR images are apparent as the angle of view changes. An area of thick, white fog in the San Joaquin Valley is visible in all three of the images. However, the pervasive haze that fills most of the valley is only slightly visible in the vertical view. At the oblique angles, the haze is highly distinguishable against the land surface background, particularly in the forward-viewing direction. Just above image center, the forward view also reveals bluish-tinged plumes near Lava Butte in Sequoia National Forest, where the National Interagency Coordination Center reported an active forest fire.

    The changing surface visibility in the multi-angle data allows us to derive the amount of atmospheric haze. In the lower right quadrant is a map of haze amount determined from automated processing of the MISR imagery. Low amounts of haze are shown in blue, and a variation in hue through shades of green, yellow, and red indicates progressively larger amounts of airborne particulates. Due to the topographically complex terrain, no results are obtained over the Sierra Nevada and Coastal mountains and these areas are shown in black. However, the enhanced haziness of the San Joaquin Valley is evident in this derived product. Within the yellow pixels, the Sun would look about 40% dimmer to an observer on the ground in comparison to its brightness on a much clearer day.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  6. Distinguishing Clouds from Ice over the East Siberian Sea, Russia

    NASA Technical Reports Server (NTRS)

    2002-01-01

    As a consequence of its capability to retrieve cloud-top elevations, stereoscopic observations from the Multi-angle Imaging SpectroRadiometer (MISR) can discriminate clouds from snow and ice. The central portion of Russia's East Siberian Sea, including one of the New Siberian Islands, Novaya Sibir, are portrayed in these views from data acquired on May 28, 2002.

    The left-hand image is a natural color view from MISR's nadir camera. On the right is a height field retrieved using automated computer processing of data from multiple MISR cameras. Although both clouds and ice appear white in the natural color view, the stereoscopic retrievals are able to identify elevated clouds based on the geometric parallax which results when they are observed from different angles. Owing to their elevation above sea level, clouds are mapped as green and yellow areas, whereas land, sea ice, and very low clouds appear blue and purple. Purple, in particular, denotes elevations very close to sea level. The island of Novaya Sibir is located in the lower left of the images. It can be identified in the natural color view as the dark area surrounded by an expanse of fast ice. In the stereo map the island appears as a blue region indicating its elevation of less than 100 meters above sea level. Areas where the automated stereo processing failed due to lack of sufficient spatial contrast are shown in dark gray. The northern edge of the Siberian mainland can be found at the very bottom of the panels, and is located a little over 250 kilometers south of Novaya Sibir. Pack ice containing numerous fragmented ice floes surrounds the fast ice, and narrow areas of open ocean are visible.

    The East Siberian Sea is part of the Arctic Ocean and is ice-covered most of the year. The New Siberian Islands are almost always covered by snow and ice, and tundra vegetation is very scant. Despite continuous sunlight from the end of April until the middle of August, the ice between the island and the mainland typically remains until August or September.

    The Multi-angle Imaging SpectroRadiometer views almost the entire Earth every 9 days. These images were acquired during Terra orbit 12986 and cover an area of about 380 kilometers x 1117 kilometers. They utilize data from blocks 24 to 32 within World Reference System-2 path 117.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  7. Long Smoke Plumes from California Destructive Bluecut Fire Spotted by NASA MISR

    NASA Image and Video Library

    2016-08-17

    On Aug. 16, 2016, at around 10:30 a.m., a brush fire ignited in the Cajon Pass east of Los Angeles, just to the west of Interstate 15. Within a matter of hours, extreme temperatures, high winds and low humidity allowed the fire to spread rapidly, burning through brush left tinder-dry by years of drought. Firefighters quickly responded, ordering the evacuation of about 83,000 people in and around the Cajon Pass, Wrightwood, Lytle Creek, Oak Hills and surrounding areas. An as-yet uncounted number of homes and structures have burned, and Interstate 15 remains closed to downed power lines and barrier damage. By Aug. 17, the fire had expanded to more than 30,000 acres and remains zero percent contained as some 1,300 firefighters continue to battle to save homes and evacuate residents. The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite passed over the region on Aug. 17 around 11:50 a.m. PDT and captured this natural-color image from MISR's 70-degree forward-viewing camera, which covers an areas about 257 miles (414 kilometers) wide. The oblique view angle makes the smoke more apparent than it would be in a more conventional vertical view. The Los Angeles metropolitan area is the large gray area on the coast in the center of the image. Three plumes from the Blue Cut Fire are clearly visible in the mountains to the north. This oblique view also shows an enormous cloud of smoke spreading northeastward over a significant portion of eastern California and Nevada. This smoke probably originated from the fire as it consumed almost 20,000 acres on the evening of the 16th and traveled north overnight. Also visible from this oblique view is considerable haziness filling California's Central Valley, to the northwest of the Blue Cut Fire. This haziness is most likely due to smoke from several other fires burning in California, including the Soberanes Fire near Monterey, the Clayton Fire that has destroyed 175 structures north of San Francisco, the Chimney Fire and the Cedar Fire, which is visible in the image in the southern Sierra Nevada. The total number of acres burned in California this year has tripled in just the past week. The 3D stereo anaglyph is made by combining data from MISR's 60-degree and 70-degree forward-viewing cameras. You will need red-blue glasses to view the 3D effect (ensure the red lens is over your left eye). In order to enable stereo viewing, the image has been rotated so north is to the left. These data were acquired during Terra orbit 88648. http://photojournal.jpl.nasa.gov/catalog/PIA20888

  8. NASA GES DISC Aerosol analysis and visualization services

    NASA Astrophysics Data System (ADS)

    Wei, J. C.; Ichoku, C. M.; Petrenko, M.; Yang, W.; Albayrak, A.; Zhao, P.; Johnson, J. E.; Kempler, S.

    2015-12-01

    Among the known atmospheric constituents, aerosols represent the greatest uncertainty in climate research. Satellite data products are important for a wide variety of applications that can bring far-reaching benefits to the science community and the broader society. These benefits can best be achieved if the satellite data are well utilized and interpreted. Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite-borne sensors routinely measure aerosols. There is often disagreement between similar aerosol parameters retrieved from different sensors, leaving users confused as to which sensors to trust for answering important science questions about the distribution, properties, and impacts of aerosols. Such misunderstanding may be avoided by providing satellite data with accurate pixel-level (Level 2) information, including pixel coverage area delineation and science team recommended quality screening for individual geophysical parameters. NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) have developed multiple MAPSS applications as a part of Giovanni (Geospatial Interactive Online Visualization and Analysis Interface) data visualization and analysis tool - Giovanni-MAPSS and Giovanni-MAPSS_Explorer since 2007. The MAPSS database provides spatio-temporal statistics for multiple spatial spaceborne Level 2 aerosol products (MODIS Terra, MODIS Aqua, MISR, POLDER, OMI, CALIOP, SeaWiFS Deep Blue, and VIIRS) sampled over AERONET ground stations. In this presentation, I will demonstrate the improved features from Giovanni-MAPSS and introduce a new visualization service (Giovanni VizMAP) supporting various visualization and data accessing capabilities from satellite Level 2 data (non-aggregated and un-gridded) at high spatial resolution. Functionality will include selecting data sources (e.g., multiple parameters under the same measurement), defining area-of-interest and temporal extents, zooming, panning, overlaying, sliding, and data subsetting and reformatting.

  9. NASA's MISR Instrument Captures Stereo View of Mountain Fire Near Idyllwild, Calif.

    Atmospheric Science Data Center

    2016-09-27

    ... been produced. The image is best viewed with standard "red/blue" 3-D glasses with the red lens over the left eye. The image is oriented ... 2.5 to 3 miles (4 to 5 kilometers) above sea level with very light winds at this time. The image extends from about 34.8 degrees north ...

  10. Toward a Sustainable Society in the Mena (Middle East and North Africa) Region: Roadmap and Priorities

    ERIC Educational Resources Information Center

    El-Bassiouny, Noha

    2012-01-01

    The Business and Society Research Cluster (BSRC) at the German University in Cairo, the El-Khazindar Business Research and Case Center at the American University in Cairo and Misr El-Kheir (MEK) Foundation, Egypt, hosted the region's first sustainability and corporate social responsibility (CSR) case studies conference, entitled "Toward a…

  11. Precision of LVIS and MISR canopy height estimates for desert grassland shrub canopies assessed with field and UAV estimates in multiscale approach

    USDA-ARS?s Scientific Manuscript database

    Many science questions in large-scale terrestrial ecology are concerned with changes in the Earth’s carbon cycle and ecosystems and the consequences for the Earth's carbon budget, ecosystem sustainability, and biodiversity [1]. To address these questions, we must know the distribution of aboveground...

  12. Characteristics of Borneo and Sumatra fire plume heights and smoke clouds and their impact on regional El Niño-induced drought

    NASA Astrophysics Data System (ADS)

    Tosca, Michael; Randerson, James; Zender, Charles; Flanner, Mark; Nelson, David; Diner, David; Rasch, Phil; Logan, Jennifer

    2010-05-01

    During the dry season, anthropogenic fires burn the tropical forests and peatlands of equatorial Asia and produce regionally expansive smoke clouds. We estimated the altitude of smoke from these fires, characterized the sensitivity of this smoke to regional drought and El Niño variability, and investigated its effect on climate. We used the MISR satellite product and MISR INteractive eXplorer (MINX) software to estimate the heights of 382 smoke plumes (smoke with a visible surface source and transport direction) on Borneo and 121 plumes on Sumatra for 2001-2009. In addition, we estimated the altitudes of 10 smoke clouds (opaque regions of smoke with no detectable surface source or transport direction) on Borneo for 2006. Most smoke plumes (80%) were observed during El Niño events (2002, 2004, 2006, 2009); this is consistent with higher aerosol optical depths observed during El Niño-induced drought. Annually averaged plume heights on Borneo were positively correlated to the Oceanic Niño Index (ONI), an indicator of El Niño (r2 = 0.53). The mean plume height for all El Niño years was 765.8 ± 19.7m, compared to 711.4 ± 28.7 for non-El Niño years. The median altitude of all 10 smoke clouds observed on Borneo during 2006 was 1313m, compared to a median 787m for smoke plume grid cells. The area covered by all smoke plumes from 2006 corresponded to approximately three individual smoke clouds. We investigated the climate response to these expansive smoke clouds using the Community Atmosphere Model (CAM). Climate variables from two 30 year simulations were compared: one simulation was forced with fire emissions typical of a dry (El Niño) burning year, while the other was forced with emissions typical of a low (La Niña) burning year. Fire aerosols reduced net shortwave radiation at the surface during August-October by an average of 10% in the region encompassing most of Sumatra and Borneo (90°E-120°E, 5°S-5°N). The reductions in net radiation cooled both ocean (0.5 ± 0.3°C) and land (0.4 ± 0.2°C) temperatures during these months. Tropospheric heating from black carbon (BC) absorption increased substantially (20.5 ± 9.3 W m-2), but was balanced by an overall reduction in latent heating. The combination of decreased SSTs and increased atmospheric heating reduced regional precipitation by 0.9 ± 0.6 mm d-1 (10%). This implies that the vulnerability of ecosystems to fire was increased because the reductions in precipitation exceeded those for evapotranspiration. Together, the satellite and modeling results imply a possible positive feedback loop in which anthropogenic burning in the region intensifies drought stress during El Niño.

  13. Status of the Multi-Angle SpectroRadiometer Instrument for EOS- AM1 and Its Application to Remote Sensing of Aerosols

    NASA Technical Reports Server (NTRS)

    Diner, D. J.; Abdou, W. A.; Bruegge, C. J.; Conel, J. E.; Kahn, R. A.; Martonchik, J. V.; Paradise, S. R.; West, R. A.

    1995-01-01

    The Multi-Angle Imaging SpectroRadiometer (MISR) is being developed at JPL for the AM1 spacecraft in the Earth Observing System (EOS) series. This paper reports on the progress of instrument fabrication and testing, and it discusses the strategy to use the instrument for studying tropospheric aerosols.

  14. Development of an Operational Multi-sensor and Multi-channel Aerosol Assimilation Package Using NAAPS and NAVDAS

    DTIC Science & Technology

    2010-09-30

    5593-1, 2010, EGU General Assembly 2010. Shi, Y., J. Zhang, J. S. Reid, E. Hyer, Evaluation of MISR Aerosol Optical Depth Product for Aerosol Data...a surrogate for aerosol type, as large η values are generally related to fine mode aerosols, such as sulfate and smoke aerosols, and small η values

  15. A Radiative Analysis of Angular Signatures and Oblique Radiance Retrievals over the Polar Regions from the Multi-Angle Imaging Spectroradiometer

    ERIC Educational Resources Information Center

    Wilson, Michael Jason

    2009-01-01

    This dissertation studies clouds over the polar regions using the Multi-angle Imaging SpectroRadiometer (MISR) on-board EOS-Terra. Historically, low thin clouds have been problematic for satellite detection, because these clouds have similar brightness and temperature properties to the surface they overlay. However, the oblique angles of MISR…

  16. Analysis of fine-mode aerosol retrieval capabilities by different passive remote sensing instrument designs.

    PubMed

    Knobelspiesse, Kirk; Cairns, Brian; Mishchenko, Michael; Chowdhary, Jacek; Tsigaridis, Kostas; van Diedenhoven, Bastiaan; Martin, William; Ottaviani, Matteo; Alexandrov, Mikhail

    2012-09-10

    Remote sensing of aerosol optical properties is difficult, but multi-angle, multi-spectral, polarimetric instruments have the potential to retrieve sufficient information about aerosols that they can be used to improve global climate models. However, the complexity of these instruments means that it is difficult to intuitively understand the relationship between instrument design and retrieval success. We apply a Bayesian statistical technique that relates instrument characteristics to the information contained in an observation. Using realistic simulations of fine size mode dominated spherical aerosols, we investigate three instrument designs. Two of these represent instruments currently in orbit: the Multiangle Imaging SpectroRadiometer (MISR) and the POLarization and Directionality of the Earths Reflectances (POLDER). The third is the Aerosol Polarimetry Sensor (APS), which failed to reach orbit during recent launch, but represents a viable design for future instruments. The results show fundamental differences between the three, and offer suggestions for future instrument design and the optimal retrieval strategy for current instruments. Generally, our results agree with previous validation efforts of POLDER and airborne prototypes of APS, but show that the MISR aerosol optical thickness uncertainty characterization is possibly underestimated.

  17. Self-Organizing-Map Program for Analyzing Multivariate Data

    NASA Technical Reports Server (NTRS)

    Li, P. Peggy; Jacob, Joseph C.; Block, Gary L.; Braverman, Amy J.

    2005-01-01

    SOM_VIS is a computer program for analysis and display of multidimensional sets of Earth-image data typified by the data acquired by the Multi-angle Imaging Spectro-Radiometer [MISR (a spaceborne instrument)]. In SOM_VIS, an enhanced self-organizing-map (SOM) algorithm is first used to project a multidimensional set of data into a nonuniform three-dimensional lattice structure. The lattice structure is mapped to a color space to obtain a color map for an image. The Voronoi cell-refinement algorithm is used to map the SOM lattice structure to various levels of color resolution. The final result is a false-color image in which similar colors represent similar characteristics across all its data dimensions. SOM_VIS provides a control panel for selection of a subset of suitably preprocessed MISR radiance data, and a control panel for choosing parameters to run SOM training. SOM_VIS also includes a component for displaying the false-color SOM image, a color map for the trained SOM lattice, a plot showing an original input vector in 36 dimensions of a selected pixel from the SOM image, the SOM vector that represents the input vector, and the Euclidean distance between the two vectors.

  18. Aerosol Remote Sensing from Space - Where We Stand, Where We're Heading

    NASA Technical Reports Server (NTRS)

    Kahn, Ralph

    2012-01-01

    The MISR and MODIS instruments aboard the NASA Earth Observing System's Terra Satellite have been collecting data containing information about the state of Earth's atmosphere and surface for over twelve years. Among the retrieved quantities are the amount and type of wildfire smoke, desert dust, volcanic effluent, urban and industrial pollution particles, and other aerosols. Data from these instruments have been used to develop a global, monthly climatology of aerosol amount that is widely used as a constraint on climate models, including those used for the 2007 IPCC assessment report. However, the broad scientific challenges of understanding aerosol impacts on climate and health place different, and very exacting demands on our measurement capabilities. And these data sets, though much more advanced in many respects than previous aerosol data records, are imperfect. The next frontier in assessing aerosol radiative forcing of climate is aerosol type, and in particular, the absorption properties of major aerosol air masses. In this presentation, I will summarize current understanding of MISR and MODIS aerosol product strengths and limitations, discuss how they relate to the bigger aerosol science questions we must address, and give my view of the way forward.

  19. An Irish Tale: One City, Two Asteroids

    NASA Technical Reports Server (NTRS)

    2000-01-01

    This MISR nadir-camera image of Ireland was acquired on May 5, 2000 during Terra orbit 2026. The location of the town of Armagh in Northern Ireland is marked. Armagh is the site of the 200-year-old Armagh Observatory. The observatory's contributions to astronomical research were recently commemorated by the official naming of two asteroids, 'ArmaghObs' and 'Ardmacha.' The latter is the ancient Gaelic name for the town, which was founded in 445 A.D. by St. Patrick.

    The asteroids were discovered in July 1987 by planetary astronomer Eleanor Helin, Principal Investigator of JPL's Near-Earth Asteroid Tracking (NEAT) program. The new names were published in the January 2001 Minor Planet Circular of the International Astronomical Union.

    The Irish Sea and the Isle of Man are located on the right-hand side of this image. Southwestern Scotland is visible in the upper right corner, and portions of northwestern Wales can be seen in the lower right.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Office of Earth Science, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is a division of the California Institute of Technology.

  20. Tracking Hurricane Wilma Across the Caribbean

    NASA Technical Reports Server (NTRS)

    2005-01-01

    Information on cloud top heights at different stages in the life cycle of the rapidly intensifying Hurricane Wilma may prove useful for evaluating the ability of numerical weather models to predict the intensity changes of hurricanes. NASA's Multi-angle Imaging SpectroRadiometer (MISR) acquired this sequence of images and cloud-top height observations for Hurricane Wilma as it progressed across the Caribbean in October 2005. Each pair in the sequence has a photo-like view of the storm on the left and a matching color-coded image of cloud-top height on the right. Cloud-top heights range from 0 (purple) to 18 (red) kilometers altitude. Areas where cloud heights could not be determined are shown in dark gray.

    The pair on the left show Wilma on Tuesday, October 18, when Hurricane watches were posted for Cuba and Mexico. The central pair shows the eye of Hurricane Wilma just hours before the storm began to cross the Yucatan Peninsula on Friday, October 21. At that time, Wilma was a powerful Category 4 Hurricane on the Saffir-Simpson scale, and had a minimum recorded central pressure of 930 millibars. Hurricane Wilma surged from tropical storm to Category 5 hurricane status in record time, but the storm slowed and weakened considerably after battering Mexico's Yucatan Peninsula and the Caribbean. The right-hand image pair displays the eastern edges of a weakened Wilma, when Wilma had been reduced to Category 2 status and was just starting to reach southern Florida on the morning of Sunday, October 23. Wilma gathered speed and strengthened on Sunday night, crossing Florida as a Category 3 storm on Monday, October 24.

    On the 18th, Wilma looked a bit ragged. Its eye is located at the center of the left edge, and its outer bands of clouds appear to be dominated by a rather loose collection of thunderstorms. In the photo-like images, these look like areas of 'boiling clouds,' and in the cloud-height image, these appear as orange blobs, sometimes topped with pinkish-red. On October 21 (center), when Wilma was a Category 4 storm, cloud-top height on the eastern side of the storm near the eye reached 18 kilometers in altitude, with lower heights on the western side. The image from the 23rd shows the eastern edge of Wilma as it approached Florida (upper right) and Cuba (center right).

    MISR has nine different cameras which view the Earth from a variety of angles. Shifts in the clouds' apparent position from one camera's perspective to another's allows MISR to measure the height of the cloud-tops. MISR scientists have programmed computers to compare the different views, identify features that appear to shift from view to view, and use that information to calculate cloud height automatically. The height fields pictured have not been corrected for the effects of cloud motion. Wind-corrected heights (which have higher accuracy but sparser spatial coverage) are within about 1 kilometer of the heights shown here.

    The Multi-angle Imaging SpectroRadiometer observes the daylit Earth continuously, viewing the entire globe between 82o north and 82o south latitude every nine days. Each image covers an area of about 380 kilometers by 1830 kilometers. The data products were generated from a portion of the imagery acquired during Terra orbits 31037, 31081 and 31110, and utilize data from within blocks 68-83 within World Reference System-2 paths 13, 16 and 18, respectively.

    MISR was built and is managed by NASA's Jet Propulsion Laboratory, Pasadena, CA, for NASA's Science Mission Directorate, Washington, DC. The Terra satellite is managed by NASA's Goddard Space Flight Center, Greenbelt, MD. JPL is managed for NASA by the California Institute of Technology.

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