U.S. Geological Survey
Photographs and other images of the Earth taken from the air and from space show a great deal about the planet's landforms, vegetation, and resources. Aerial and satellite images, known as remotely sensed images, permit accurate mapping of land cover and make landscape features understandable on regional, continental, and even global scales. Transient phenomena, such as seasonal vegetation vigor and contaminant discharges, can be studied by comparing images acquired at different times. The U.S. Geological Survey (USGS), which began using aerial photographs for mapping in the 1930's, archives photographs from its mapping projects and from those of some other Federal agencies. In addition, many images from such space programs as Landsat, begun in 1972, are held by the USGS. Most satellite scenes can be obtained only in digital form for use in computer-based image processing and geographic information systems, but in some cases are also available as photographic products.
U.S. Geological Survey
Because photographs and images taken from the air or from space are acquired without direct contact with the ground, they are referred to as remotely sensed images. The U.S. Geological Survey (USGS) has used remote sensing from the early years of the 20th century to support earth science studies and for mapping purposes.
Varga, Katalin; Szabó, Szilárd; Szabó, Gergely; Dévai, György; Tóthmérész, Béla
Manual Land Cover Mapping using aerial photographs provides sufficient level of resolution for detailed vegetation or land cover maps. However, in some cases it is not possible to achieve the desired information over large areas, for example from historical data where the quality and amount of available images is definitely lower than from modern data. The use of automated and semiautomated methods offers the means to identify the vegetation cover using remotely sensed data. In this paper automated methods were tested on aerial photographs and satellite images to extract better and more reliable information about vegetation cover. These testswere performed by using automated analysis of LANDSAT7 images (with and without the surface model of the Shuttle Radar Topography Mission (SRTM)) and two temporally similar aerial photographs. The spectral bands were analyzed with supervised (maximum likelihood) methods. In conclusion, the SRTM and the combination of two temporally similar aerial photographs from earlier years were useful in separating the vegetation cover on a floodplain area. In addition the different date of the vegetation season also gave reliable information about the land cover. High quality information about old and present vegetation on a large area is an essential prerequisites ensuring the conservation of ecosystems
Van Eeckhout, E.; Pope, P.; Becker, N.; Wells, B.; Lewis, A.; David, N.
The proper handling and characterization of past hazardous waste sites is becoming more and more important as world population extends into areas previously deemed undesirable. Historical photographs, past records, current aerial satellite imagery can play an important role in characterizing these sites. These data provide clear insight into defining problem areas which can be surface samples for further detail. Three such areas are discussed in this paper: (1) nuclear wastes buried in trenches at Los Alamos National Laboratory, (2) surface dumping at one site at Los Alamos National Laboratory, and (3) the historical development of a municipal landfill near Las Cruces, New Mexico.
Fiorucci, Federica; Cardinali, Mauro; Carlà Roberto; Mondini, Alessandro; Santurri, Leonardo; Guzzetti, Fausto
Landslide inventory maps are a common type of map used for geomorphological investigations, land planning, and hazard and risk assessment. Landslide inventory maps covering medium to large areas are obtained primarily exploiting traditional geomorphological techniques. These techniques combine the visual and heuristic interpretation of stereoscopic aerial photographs with more or less extensive field investigations. Aerial photographs most commonly used to prepare landslide inventory maps range in scale from about 1:10,000 to about 1:40,000. Interpretation of satellite images is a relatively recent, powerful tool to obtain information of the Earth surface potentially useful for the production of landslide inventory maps. The usefulness of satellite information - and the associated technology - for the identification of landslides and the production of landslide inventory maps, remains largely unexplored. In this context, it is of interest to investigate the type, quantity, and quality of the information that can be retrieved analyzing images taken by the last generation of high and very-high resolution satellite sensors, and to compare this information with the information obtained from the analysis of traditional stereoscopic aerial photographs, or in the field. In the framework of the MORFEO project for the exploitation of Earth Observation data and technology for landslide identification and risk assessment, of the Italian Space Agency, we have compared two event-based landslide inventory maps prepared exploiting two different techniques. The two maps portray the geographical distribution and types of landslides triggered by rainfall in the period from November 2004 to May 2005 in the Collazzone area, Umbria, central Italy. The first map was prepared through reconnaissance field surveys carried out mostly along roads. The second map was obtained through the combined visual interpretation of 1:10,000 scale, colour ortho-photo maps, and images taken by the IKONOS
U.S. Geological Survey
The National Cartographic Information Center of the U.S. Geological Survey maintains records of aerial photographic coverage of the United States and its Territories, based on reports from other Federal agencies as well as State governmental agencies and commercial companies. From these records, the Center furnishes data to prospective purchasers on available photography and the agency holding the aerial film.
Barras, John A.
-water datasets derived from the Landsat TM satellite imagery were combined with 2001 marsh vegetative communities (Chabreck and others, unpub. data, 2001) to identify land-water configurations by marsh community before and after the hurricanes. Links to the Landsat TM images and aerial photographs are given below (figs. 1-29). Comparison of land area before the storms to land area after the storms is made possible by the inclusion of Landsat TM images and aerial photographs taken in the years and months before the storms. The figures are arranged geographically from east to west to follow the chronology of the effects of the storms. For a more detailed analysis of the changes wrought by these storms, see 'Land Area Changes in Coastal Louisiana After Hurricanes Katrina and Rita' (Barras, in press).
Morrison, R. B.
A proposal is made for mapping from aerial photographs from the EROS program. Three kinds of maps (geomorphic or landform, soil, and surficial deposit) are being prepared at 1:250,000 scale for an 8000-square-mile area between Tucson and Ajo, Arizona. Nine cameras used on NASA mission 101 provided color, color infrared, and multispectral air photos from about 60,000 feet above the terrain and with photo scales ranging from 1:60,000 to 1:240,000. This area was selected because it provides a good sample of desert terrain and is suited for improving and testing the photointerpretive techniques for mapping geologic terrain features with small-scale photos.
11. Photographic copy of aerial photograph dated ca. 1954; Photographer unknown; Original owned by Waterloo Courier, Waterloo, Iowa; AERIAL VIEW OF RATH COMPLEX, LOOKING WEST; BEEF KILLING BUILDING (149 AND LIVESTOCK HOLDING AREAS ARE AT LEFT CENTER; FERTILIZER PLANT/STORAGE BUILDINGS ARE AT BOTTOM OF PHOTO - Rath Packing Company, Sycamore Street between Elm & Eighteenth Streets, Waterloo, Black Hawk County, IA
12. Photographic copy of aerial photograph dated October 1988; Photographed by Aerial Services, Incorporated, Waterloo, Iowa; THE RATH COMPLEX FROM DIRECTLY OVERHEAD; THE PACKING PLANT BUILDINGS OCCUPY UPPER RIGHT QUADRANT OF PHOTO; 18TH STREET BRIDGE AT CENTER - Rath Packing Company, Sycamore Street between Elm & Eighteenth Streets, Waterloo, Black Hawk County, IA
Shekede, Munyaradzi D.; Murwira, Amon; Masocha, Mhosisi
Although increased woody plant abundance has been reported in tropical savannas worldwide, techniques for detecting the direction and magnitude of change are mostly based on visual interpretation of historical aerial photography or textural analysis of multi-temporal satellite images. These techniques are prone to human error and do not permit integration of remotely sensed data from diverse sources. Here, we integrate aerial photographs with high spatial resolution satellite imagery and use a discrete wavelet transform to objectively detect the dynamics in bush encroachment at two protected Zimbabwean savanna sites. Based on the recently introduced intensity-dominant scale approach, we test the hypotheses that: (1) the encroachment of woody patches into the surrounding grassland matrix causes a shift in the dominant scale. This shift in the dominant scale can be detected using a discrete wavelet transform regardless of whether aerial photography and satellite data are used; and (2) as the woody patch size stabilises, woody cover tends to increase thereby triggering changes in intensity. The results show that at the first site where tree patches were already established (Lake Chivero Game Reserve), between 1972 and 1984 the dominant scale of woody patches initially increased from 8 m before stabilising at 16 m and 32 m between 1984 and 2012 while the intensity fluctuated during the same period. In contrast, at the second site, which was formely grass-dominated site (Kyle Game Reserve), we observed an unclear dominant scale (1972) which later becomes distinct in 1985, 1996 and 2012. Over the same period, the intensity increased. Our results imply that using our approach we can detect and quantify woody/bush patch dynamics in savanna landscapes.
Weeden, H. A.; Bolling, N. B. (Principal Investigator)
The author has identified the following significant results. Engineering soil and geology maps were successfully made from Pennsylvania aerial photographs taken at scales from 1:4,800 to 1:60,000. The procedure involved a detailed study of a stereoscopic model while evaluating landform, drainage, erosion, color or gray tones, tone and texture patterns, vegetation, and cultural or land use patterns.
U.S. Geological Survey
Geological Survey vertical aerial photography is obtained primarily for topographic and geologic mapping. Reproductions from this photography are usually satisfactory for general use. Because reproductions are not stocked, but are custom processed for each order, they cannot be returned for credit or refund.
49. Photocopy of photograph, AERIAL PHOTOGRAPH SHOWING VIEW OF CNJ BRIDGE PRIOR TO DEVELOPMENT OF PORT ELIZABETH - Central Railroad of New Jersey, Newark Bay Lift Bridge, Spanning Newark Bay, Newark, Essex County, NJ
McCarthy, L.E.; Marsh, S.E.; Lee, C.
Concern for environmental management of our natural resources is most often focused on the anthropogenic impacts placed upon these resources. Desert landscapes, in particular, are fragile environments, and minimal stresses on surficial materials can greatly increase the rate and character of erosional responses. The National Training Center, Ft. Irwin, located in the middle of the Mojave Desert, California, provides an isolated study area of intense ORV activity occurring over a 50-year period. Geomorphic surfaces, and surficial disruption from two study sites within the Ft. Irwin area were mapped from 1947, 1:28,400, and 1993 1:12,000 black and white aerial photographs. Several field checks were conducted to verify this mapping. However, mapping from black and white aerial photography relies heavily on tonal differences, patterns, and morphological criteria. Satellite imagery, sensitive to changes in mineralogy, can help improve the ability to distinguish geomorphic units in desert regions. In order to assess both the extent of disrupted surfaces and the surficial geomorphology discemable from satellite imagery, analysis was done on SPOT panchromatic and Landsat Thematic Mapper (TM) multispectral imagery acquired during the spring of 1987 and 1993. The resulting classified images provide a clear indication of the capabilities of the satellite data to aid in the delineation of disrupted geomorphic surfaces.
9. Photographic copy of aerial photograph of NUWC, 1993, view northwest. Original color negative no. 093(L)-09212.32 on file at photo lab at NUWC, Newport, R.I. Copyright-free. - Naval Undersea Warfare Center, East side of Smith & East Streets between Columbia & South Coves, New London, New London County, CT
8. PHOTOGRAPHIC COPY OF AERIAL PHOTOGRAPH, DATED CA. 1920-1925, FORT BLISS, ARROW POINTS TO 7TH CAVALRY CANTONMENT, COPY ON FILE IN THE ENVIRONMENTAL MANAGEMENT OFFICE, FORT BLISS - Fort Bliss, 7th Cavalry Buildings, U.S. Army Air Defence Artillery Center & Fort Bliss, El Paso, El Paso County, TX
Credit WCT. Photographic copy of photograph, low level aerial view of Test Stand "D," looking due west, after completion of Dd station installation in 1961. Note Test Stand "D" "neutralization pond" to immediate southeast of tower. (JPL negative no. 384-2997-B, 12 December 1961) - Jet Propulsion Laboratory Edwards Facility, Test Stand D, Edwards Air Force Base, Boron, Kern County, CA
U.S. Geological Survey
Declassified photographs from U.S. intelligence satellites provide an important worldwide addition to the public record of the Earth's land surface. This imagery was released to the National Archives and Records Administration (NARA) and the U.S. Geological Survey (USGS) in accordance with Executive Order 12951 on February 23, 1995. The NARA has the original declassified film and a viewing copy. The USGS has another copy of the film to complement the Landsat archive. The declassified collection involves more than 990,000 photographs taken from 1959 through 1980 and was released on two separate occasions: February 1995 (Declass 1) and September 2002 (Declass 2). The USGS copy is maintained by the Earth Resources Observation and Science (EROS) Center, near Sioux Falls, South Dakota. Both the NARA and EROS provide public access to this unique collection that extends the record of land-surface change back another decade from the advent of the Landsat program that began satellite operations in 1972.
U.S. Geological Survey
Recently declassified photographs from spy satellites are an important addition to the record of the Earth?s land surface held by the U.S. Geological Survey (USGS). More than 800,000 high-resolution photos taken between 1959 through 1972 were made available by Executive Order of the President. The collection is held at the USGS EROS Data Center, near Sioux Falls, S. Dak., and are offered for public sale. For some purposes in earth science studies, these photos extend the record of changes in the land surface another decade back in time from the advent of the Landsat earth-observing satellite program.
Gerbermann, A. H.; Cuellar, J. A.; Wiegand, C. L.
Estimates of per cent ground cover made by ground observers were compared with independent estimates made on the basis of low-altitude (640-1219 m) aerial photographs of the same fields. Standard statistical simple correlation and linear regression analyses revealed a high correlation between the two estimation methods. In crops such as grain, sorghum, corn, and forage sorghum, in which the broadest part of the leaf canopy is near the top of the plant, there was a tendency to overestimate the per cent ground cover from aerial photographs.
Photographic copy of photograph, aerial view looking north at Jet Propulsion Laboratory, Edwards Test Station complex in 1959, shortly after completion of 'D' stand construction and installation of underground tunnel system. Test stands 'A,' 'B,' 'C,' and 'D' are in view; the Control and Recording Center (Building 4221/E-22) is still under construction. (JPL negative no. 384-1917-A, 28 May 1959) - Jet Propulsion Laboratory Edwards Facility, Edwards Air Force Base, Boron, Kern County, CA
Photographic copy of photograph, aerial view looking south at Jet Propulsion Laboratory, Edwards Test Station complex in 1959, shortly after completion of Test Stand 'D' construction and installation of underground tunnel system. Test Stand 'D' is in the foreground, Test Stand 'A' complex in the background. Roads are as yet unpaved. (JPL negative no. 384-1917-B, 28 May 1959) - Jet Propulsion Laboratory Edwards Facility, Edwards Air Force Base, Boron, Kern County, CA
Photographic copy of photograph, aerial view looking north and showing Test Stand 'A' (at bottom), Test Stand 'B' (upper right), and a portion of Test Stand 'C' (top of view). Compare HAER CA-163-1 and 2 and note addition of liquid nitrogen storage tank (Building 4262/E-63) to west of Test Stand 'C' as well as various ancillary facilities located behind earth barriers near Test Stand 'C.' (JPL negative no. 384-3006-A, 12 December 1961) - Jet Propulsion Laboratory Edwards Facility, Edwards Air Force Base, Boron, Kern County, CA
Photographic copy of photograph, aerial view looking down at Jet Propulsion Laboratory, Edwards Test Station complex in 1961, with north toward the top of the view. Dd test station has been added to Test Stand 'D,' liquid nitrogen storage facility E-63 has been built, as well as several adjuncts to Test Stand 'C' behind earth barriers, such as oxidizer facility at 4263/E-64 and hydrogen tank at 4264/E-65. (JPL negative no. 384-3003-A, 12 December 1961) - Jet Propulsion Laboratory Edwards Facility, Edwards Air Force Base, Boron, Kern County, CA
12. Photocopy of photograph (original negative located at Aerial Mapping Company, Phoenix, Arizona, Negative No. 90046) Photographer unknown, March 28, 1990. DIMENSION-CONTROLLED AERIAL PHOTOGRAPHIC MAP. - Yuma Main Street Water Treatment Plant, Jones Street at foot of Main Street, Yuma, Yuma County, AZ
11. COPY OF 1970 AERIAL PHOTOGRAPH OF LORING AIR FORCE BASE. PHOTOGRAPH LOCATED AT AIR FORCE BASE CONVERSION AGENCY, LORING AIR FORCE BASE, MAINE. - Loring Air Force Base, Airfield, Central portion of base, Limestone, Aroostook County, ME
14. Photocopy, AERIAL VIEW OF FORT TOTTEN, photographed in the 1970s. Original photograph at North Dakota National Guard - Fort Totten, 12 miles southwest of Devils Lake City off Route 57, Devils Lake, Ramsey County, ND
Credit WCT. Photographic copy of photograph, low level aerial view of Test Stand "D," looking due south, after completion of Dd station installation in 1961. Note Test Stand "D" "neutralization pond" to immediate southeast of tower. A steel barrier north of and parallel to the Dd station separates fuel run tanks (on south side obscured from view) from oxidizer run tanks (on north side). Small Dj injector test stand is visible to the immediate left of oxidizer run tanks; it is oriented on a northeast/southwest diagonal to the Dd test station. The large tank to the north of the oxidizer run tanks (near center bottom of view) is an oxidizer storage tank for nitrogen tetroxide. Slender tanks to the northwest of the tower (lower right of view) contain high pressure nitrogen gas. A large vertical tank at the base of the tower contains distilled water for flushing propellant lines. (JPL negative no. 384-2997-B, 12 December 1961) - Jet Propulsion Laboratory Edwards Facility, Test Stand D, Edwards Air Force Base, Boron, Kern County, CA
Cain, Peggy W.; And Others
South Carolina has mountain chains, monadnocks, rolling hills, varying drainage patterns, rivers, a delta, barrier islands, rocks over a billion years old and land that was once part of another continent. This document contains a set of curriculum activities that have been developed from a diverse collection of aerial photographic, satellite,…
22. Photographer unknown, 1956 AERIAL VIEW, LOOKING SOUTH-SOUTHEAST, BUILDING 20 AT LEFT. DARK AREAS ARE LANDSCAPED. - U. S. Veterans Administration Medical Center, 2100 Ridgecrest Southeast, Albuquerque, Bernalillo County, NM
72. Frank Deras Jr., Photographer May 1998 CONTEXTUAL AERIAL VIEW OF TRANSBAY TERMINAL BUS LOOP, FACING NORTHEAST. - San Francisco Oakland Bay Bridge, Spanning San Francisco Bay, San Francisco, San Francisco County, CA
262. Frank Deras Jr., Photographer June 1998 AERIAL VIEW OF CANTILEVER TRUSS CANTILEVER ARM AND SUSPENDED SPAN, NORTH SIDE, FACING SOUTH. - San Francisco Oakland Bay Bridge, Spanning San Francisco Bay, San Francisco, San Francisco County, CA
15. AERIAL PHOTOGRAPH OF DAM SITE SHOWING SPILLWAY OGEE SECTION AND SPILLWAY APRON EXCAVATION IN FOREGROUND.... Volume XVIII, No. 10, January 18, 1940. - Prado Dam, Spillway, Santa Ana River near junction of State Highways 71 & 91, Corona, Riverside County, CA
Historic Image: Aerial view of cemetery and its environs. Photograph 2 November 1961. NCA History Collection - Cypress Hills National Cemetery, Jamaica Avenue Unit, 625 Jamaica Avenue, Brooklyn, Kings County, NY
HISTORIC IMAGE: AERIAL VIEW OF CEMETERY AND ITS ENVIRONS. PHOTOGRAPH 15 SEPTEMBER 1950. NCA HISTORY COLLECTION. - San Francisco National Cemetery, 1 Lincoln Boulevard, San Francisco, San Francisco County, CA
180. Frank Deras Jr., Photographer June 1998 AERIAL ELEVATION VIEW OF SUSPENSION BRIDGE AT CABLE VALLEY WITH SAN FRANCISCO IN BACKGROUND, FACING WEST NORTHWEST. - San Francisco Oakland Bay Bridge, Spanning San Francisco Bay, San Francisco, San Francisco County, CA
175. Frank Deras Jr., Photographer May 1998 AERIAL ELEVATION VIEW OF TOWER W-2, FACING NORTHWEST. - San Francisco Oakland Bay Bridge, Spanning San Francisco Bay, San Francisco, San Francisco County, CA
179. Dennis Hill, Photographer June 1998 AERIAL ELEVATION VIEW OF SUSPENSION BRIDGE STIFFENING TRUSS AND TOWER W-2, FACING NORTHWEST. - San Francisco Oakland Bay Bridge, Spanning San Francisco Bay, San Francisco, San Francisco County, CA
Bureau of Aeronautics, October 16, 1943, Photograph #4875. AERIAL OF ROOSEVELT BASE LOOKING EAST - Roosevelt Base, Bounded by Ocean Boulevard, Pennsylvania Avenue, Richardson Avenue, & Idaho Street, Long Beach, Los Angeles County, CA
Historic Image: Aerial view of Mount of Victory Plot. Photograph 1961. NCA History Collection - Cypress Hills National Cemetery, Mount of Victory Plot Unit, 625 Jamaica Avenue, Brooklyn, Kings County, NY
36. photographer unknown 7 October 1940 AERIAL VIEW OF BONNEVILLE PROJECT LOOKING WEST. - Bonneville Project, Columbia River, 1 mile Northeast of Exit 40, off Interstate 84, Bonneville, Multnomah County, OR
Aerial view after September 11, 2001. Photograph by Eric J. Tilford, U.S. Navy, September 17, 2001. - World Trade Center Site, Bounded by Vesey, Church, Liberty Streets, & Route 9A, New York County, NY
1. Aerial plan view of Longacres in 1936. (This photograph is an 8x10' enlargement made from a 4x5' two-step duplicate negative. The original negative is in the collection of The Boeing Co., Renton, WA. Photograph by Walker and Associates, Seattle, WA.) - Longacres, 1621 Southwest Sixteenth Street, Renton, King County, WA
52. Photocopy of photograph. AERIAL VIEW OF HEADHOUSE SECTIONS A AND B-C, PIERS A AND B, LOOKING WEST. (Original negative #TP-1054 on file at Port Authority, New York, NY. Photographed by Stern, December 5, 1956) - Hoboken Piers Headhouse, River Street at Hudson River, Hoboken, Hudson County, NJ
2. Aerial view turnpike running through center of photograph along the row of trees withing the bare spot on the landscape. Harriman Heights Road is the road located at the lower center of the photograph. View looking west. - Orange Turnpike, Parallel to new Orange Turnpike, Monroe, Orange County, NY
9. COPY OF UNDATED OBLIQUE AERIAL PHOTOGRAPH WEST SIDE OF BASE, PROBABLY TAKEN IN THE 1960'S. PHOTOGRAPH LOCATED AT AIR FORCE BASE CONVERSION AGENCY, LORING AIR FORCE BASE, MARINE. - Loring Air Force Base, Airfield, Central portion of base, Limestone, Aroostook County, ME
10. COPY OF OBLIQUE AERIAL PHOTOGRAPH OF FLIGHTLINE SHOWING BUILDING 8280 (DOUBLE CANTILEVER HANGAR) AT LEFT DATED JANUARY 18, 1968. PHOTOGRAPH FROM LORING AIR FORCE BASE MASTER PLAN LOCATED AT AIR FORCE BASE CONVERSION AGENCY, LORING AIR FORCE BASE, MAINE. - Loring Air Force Base, Airfield, Central portion of base, Limestone, Aroostook County, ME
67. COPY OF UNDATED OBLIQUE AERIAL PHOTOGRAPH SHOWING WEAPONS STORAGE AREA, FROM MASTER PLAN OF CARIBOU AFS. PHOTOGRAPH, PROBABLY TAKEN IN THE 1960'S LOCATED AT AIR FORCE BASE CONVERSION AGENCY, LORING AIR FORCE BASE, MAINE. - Loring Air Force Base, Weapons Storage Area, Northeastern corner of base at northern end of Maine Road, Limestone, Aroostook County, ME
3. Photocopy of photograph. Aerial view of the boat basin at east side of Shooters Island. Circa 1940, taken from The Staten Island Advance, photographer not stated. (Original in Staten Island Historic Society, Stanton Island, New York) - Shooters Island, Ships Graveyard, Newark Bay, Staten Island (subdivision), Richmond County, NY
5. Photocopy of photograph. Aerial view of island, looking northwest, showing A-Frame of vessel 53 and hull outline of vessel 54 visible at lower left. Circa 1969, photographer not known. (Original in South Stroot Seaport Museum, New York, New York) - Shooters Island, Ships Graveyard, Newark Bay, Staten Island (subdivision), Richmond County, NY
Block 1. Aerial Photograph taken from the top of the May D & F Tower and depicts the entire Block 1. Photograph shows the two public gathering spaces, a mid-section designated seating area and the fountain. In addition, the photograph shows an exit from underground public parking off eastern side along the street front - Skyline Park, 1500-1800 Arapaho Street, Denver, Denver County, CO
27. Aerial photograph dated 14 October 1943 taken directly over Gould Island. Completed complex shown at north end of the island (to right in photograph), including power plant, shop, frame approach, firing pier, and small harbor formed by finger pier off east side of firing pier. Photo courtesy of Naval Undersea Warfare Center, Division Newport, Rhode Island. - Naval Torpedo Station, Firing Pier, North end of Gould Island in Narragansett Bay, Newport, Newport County, RI
Matsunaga, Tsuneo; Kayanne, Hajime
Ishigaki Island is located at the southwestern end of Japanese Islands and famous for its fringing coral reefs. More than twenty LANDSAT TM images in twelve years and aerial photographs taken on 1977 and 1994 were used to survey two shallow reefs on this island, Shiraho and Kabira. Intensive field surveys were also conducted in 1995. All satellite images of Shiraho were geometrically corrected and overlaid to construct a multi-date satellite data set. The effects of solar elevation and tide on satellite imagery were studied with this data set. The comparison of aerial and satellite images indicated that significant changes occurred between 1977 and 1984 in Kabira: rapid formation in the western part and decrease in the eastern part of dark patches. The field surveys revealed that newly formed dark patches in the west contain young corals. These results suggest that remote sensing is useful for not only mapping but also monitoring of shallow coral reefs.
5. Photographic copy of aerial photo of site c. 1945. Original photo on file at Public Affairs Office (PAO), Naval Undersea Warfare Center (NUWC), Newport, R.I. Copyright-free. - Naval Undersea Warfare Center, East side of Smith & East Streets between Columbia & South Coves, New London, New London County, CT
6. Photographic copy of aerial photo of site c. 1965. Original photo on file at (PAO), NUWC, Newport, R.I. Copyright-free. - Naval Undersea Warfare Center, East side of Smith & East Streets between Columbia & South Coves, New London, New London County, CT
26. Aerial photograph dated 20 June 1942, showing north end of Gould Island from the southwest. At upper left is firing pier. Shop building and power plant under construction at center. Photo courtesy of Naval Undersea Warfare Center, Division Newport, Rhode Island. - Naval Torpedo Station, Firing Pier, North end of Gould Island in Narragansett Bay, Newport, Newport County, RI
24. Aerial photograph dated 22 April 1942, showing Gould Island from the northeast. Complex under construction includes shop building (large rectangle at north end of island, and firing pier (at far right). Photo courtesy of Naval Undersea Warfare Center, Division Newport, Rhode Island. - Naval Torpedo Station, Firing Pier, North end of Gould Island in Narragansett Bay, Newport, Newport County, RI
18. Photocopy of Photograph AERIAL VIEW TO SOUTHEAST, GENERAL VIEW OF PAD A WITH MOBILE SERVICE STRUCTURE IN SERVICE POSITION, 02 December 1981. - Cape Canaveral Air Station, Launch Complex 17, Facility 28501, East end of Lighthouse Road, Cape Canaveral, Brevard County, FL
1. AERIAL VIEW, LOOKING NORTHWEST Photocopy of photograph, ca. 1980. Original print on file at Mississippi River Lock and Dam No. 25, Winfield, Missouri - Upper Mississippi River Nine-Foot Channel Project, Lock & Dam No. 25, Cap au Gris, Lincoln County, MO
Zhuchenko, A. G.; Morozova, L. A.; Petrov, V. Ia.
The paper describes an automated system for the extraction of geological information from aerial photographs; the system used is an information-search language of descriptor type, represented in the form of classifiers. A block diagram of the system is presented.
Saro, Lee; Hyun-Joo, Oh
susceptibility using GIS. Using landslide location and a spatial database containing information such as topography, soil, forest, geology, lineament and land cover, the weights-of-evidence model was applied to calculate each relevant factor's rating for the Jinbu-myeon area in Korea, which had suffered substantial landslide damage following heavy rain in 2006. In the topographic database, the factors were slope, aspect, curvature, Topographic Wetness Index (TWI) and Stream Power Index (SPI); in the soil database, they were soil texture, soil material, soil drainage, soil effective thickness and topographic type; in the forest map, they were forest type, timber diameter, timber age and forest density; lithology was derived from the geological database; land cover information came from SPOT satellite imagery; and lineament data from hillshade map. For the analysis of mapping landslide susceptibility, W+ and W-, of each factor's rating were overlaid spatially. The result of the analysis was validated using the known landslide locations (30% of total landslide occurrence), which were not used during the training of the weight-of-evidence model. The demonstrated prediction accuracy was 82.82%. Tests of conditional independence were performed for the selection of factors, allowing 17 combinations of factors to be analysed. The combination of slope, aspect, curvature, SPI, lineament, land cover, timber density, soil drainage and topography showed the best results. The results can be used for hazard prevention and land-use planning. The photograph was a time and cost effective to identify landslide prone area in the study area, and the landslide locations were equal to the locations where were checked in the field. In addition, it can help to assess a better understanding of the landslide processes. Keyword: Landslide susceptibility, Digital aerial photograph, GIS, Korea, Weight of evidence.
25. Aerial photograph dated 20 June 1942, showing north end of Gould Island from the northeast (caption on photo is in error). Shop and power plant under construction at left, firing pier under construction at far right. Photo courtesy of Naval Undersea Warfare Center, Division Newport, Rhode Island. - Naval Torpedo Station, Firing Pier, North end of Gould Island in Narragansett Bay, Newport, Newport County, RI
28. Undated aerial photograph taken prior to removal of third and fourth levels of firing pier in the 1980s. View looking northwest shows harbor serving the firing pier, with craft berthed alongside the recovery dock and finger pier. Photo courtesy of Naval Undersea Warfare Center, Division Newport, Rhode Island. - Naval Torpedo Station, Firing Pier, North end of Gould Island in Narragansett Bay, Newport, Newport County, RI
29. Aerial photograph (1973) looking south across Gould Island. Firing pier (still possessing third and fourth levels) in foreground. Pitched roof extending from south end of firing pier marks location of frame approach between pier and shop building (center rear) and power plant (to right of shop). Photo courtesy of Naval Undersea Warfare Center, Division Newport, Rhode Island. - Naval Torpedo Station, Firing Pier, North end of Gould Island in Narragansett Bay, Newport, Newport County, RI
9. photographer unknown 3 September 1984 AERIAL VIEW OF BONNEVILLE PROJECT TAKEN AT 3000-FOOT ELEVATION. FISH HATCHERY IS AT CENTER/RIGHT AND AUDITORIUM AND ADMINISTRATION BUILDINGS AT CENTER/LEFT. INTERSTATE ROUTE 84 RUNS ACROSS TOP OF PHOTO. THE COLUMBIA RIVER IS AT BOTTOM OF PHOTO AND FLOWS LEFT-TO-RIGHT. - Bonneville Project, Columbia River, 1 mile Northeast of Exit 40, off Interstate 84, Bonneville, Multnomah County, OR
11. photographer unknown 3 September 1984 AERIAL VIEW OF BONNEVILLE PROJECT TAKEN AT 6000-FOOT ELEVATION. POWERHOUSE #1 AND NAVIGATION LOCK ARE IN UPPER/CENTER PART OF PHOTO, AND THE DAM/SPILLWAY IS IN LEFT/CENTER; THE SECOND POWERHOUSE IS PARTIALLY VISIBLE IN LOWER LEFT CORNER. COLUMBIA RIVER FLOWS FROM LEFT-TO-RIGHT. - Bonneville Project, Columbia River, 1 mile Northeast of Exit 40, off Interstate 84, Bonneville, Multnomah County, OR
10. photographer unknown 3 September 1984 AERIAL VIEW OF BONNEVILLE PROJECT TAKEN AT 3000-FOOT ELEVATION. POWERHOUSE #1 IS IN CENTER OF PHOTO WITH NAVIGATION LOCK JUST ABOVE IT, AND DAM/SPILLWAY IS PARTIALLY VISIBLE AT EXTREME LOWER LEFT. THE COLUMBIA RIVER IS FLOWING LEFT-TO-RIGHT. - Bonneville Project, Columbia River, 1 mile Northeast of Exit 40, off Interstate 84, Bonneville, Multnomah County, OR
18. AERIAL VIEW OF PRISON COMPLEX, CIRCA 1930s Photographer unknown; National Archives and Records Administration photograph No. 18-AN-31716. - New Jersey State Prison, Second & Federal Streets, Trenton, Mercer County, NJ
Salotti, Marc; Laachfoubi, Nabil
We address the problem of predicting the propagation of forest fires, by estimating the local direction of the wind. Since the wind direction depends on many local factors, we propose to use aerial photographs and to analyze the shape of the smoke. First, a classification is performed with a learning strategy in order to identify pixels located in the smoke area. Then, we give algorithmic details of the computation of the medial graph, used to describe the shape of the smoke. Finally, the wind direction is given by the direction of edges along the nodes of the longest path of the medial graph. Interesting results illustrate the method.
Photocopy of recent aerial photograph (from U.S. Army Support Command Hawaii, Wheeler Army Air Base, Hawaii) Photographer unknown, Circa 1990 OBLIQUE AERIAL VIEW SHOWING MAIN SECTION OF BASE WITH LAKE WILSON IN THE FOREGROUND AND WAIANAE MOUNTAINS IN THE BACKGROUND. - Schofield Barracks Military Reservation, Wilikina Drive & Kunia Road, Wahiawa, Honolulu County, HI
Photocopy of recent aerial photograph (from U.S. Army Support Command Hawaii, Wheeler Army Air Base, Hawaii) Photographer unknown, Circa 1990 AERIAL VIEW SHOWING MAIN SECTION OF BASE, BETWEEN KUNIA ROAD, WILIKINA DRIVE, AND McMAHON ROAD, AS WELL AS ADJACENT PINEAPPLE FIELDS, AND LAKE WILSON. - Schofield Barracks Military Reservation, Wilikina Drive & Kunia Road, Wahiawa, Honolulu County, HI
Lockwood, H. E.
A series of Earth Resources Aircraft Program data flights were made over an aerial test range in Arizona for the evaluation of large cameras. Specifically, both medium altitude and high altitude flights were made to test and evaluate a series of color as well as black-and-white films. Image degradation, inherent in duplication processing, was studied. Resolution losses resulting from resolution characteristics of the film types are given. Color duplicates, in general, are shown to be degraded more than black-and-white films because of the limitations imposed by available aerial color duplicating stock. Results indicate that a greater resolution loss may be expected when the original has higher resolution. Photographs of the duplications are shown.
... maintenance of aerial photographic records? (a) Mark each aerial film container with a unique identification code to facilitate identification and filing. (b) Mark aerial film indexes with the unique aerial film identification codes or container codes for the aerial film that they index. Also, file and mark the...
... maintenance of aerial photographic records? (a) Mark each aerial film container with a unique identification code to facilitate identification and filing. (b) Mark aerial film indexes with the unique aerial film identification codes or container codes for the aerial film that they index. Also, file and mark the...
... maintenance of aerial photographic records? (a) Mark each aerial film container with a unique identification code to facilitate identification and filing. (b) Mark aerial film indexes with the unique aerial film identification codes or container codes for the aerial film that they index. Also, file and mark the...
Aerial photograph of the south half of the C.B & Q. R.R shops, 1955, showing the first roundhouse and backshops - Chicago, Burlington & Quincy Railroad, Roundhouse & Shops, Broadway & Spring Streets, Aurora, Kane County, IL
Photocopy, U.S. Navy photograph, 1944. (BMA - CP 121,957) Aerial view of Waipio Peninsula Amphibious Base - U.S. Naval Base, Pearl Harbor, Waipio Peninsula, Waipo Peninsula, Pearl City, Honolulu County, HI
Photocopy, U.S. Navy photograph, 1945. (BMA - CP 116,995) Aerial oblique of Waipio Peninsula Amphibious Base - U.S. Naval Base, Pearl Harbor, Waipio Peninsula, Waipo Peninsula, Pearl City, Honolulu County, HI
Blades, Mark; Spencer, Christopher
Discusses the importance of maps in geographical and environmental education. Reports on a study done with elementary school age children using aerial photographs. Indicates that children at age four can name some of the symbols on an aerial map, and by age six could recognize a majority of the symbols. (TW)
Luman, D.E.; Stohr, C.; Hunt, L.
Aerial photography from the 1920s and 1930s is a unique record of historical information used by government agencies, surveyors, consulting scientists and engineers, lawyers, and individuals for diverse purposes. Unfortunately, the use of the historical aerial photographic prints has resulted in their becoming worn, lost, and faded. Few negatives exist for the earliest photography. A pilot project demonstrated that high-quality, precision scanning of historical aerial photography is an appealing alternative to traditional methods for reproduction. Optimum sampling rate varies from photograph to photograph, ranging between 31 and 42 ??m/pixel for the USDA photographs tested. Inclusion of an index, such as a photomosaic or gazetteer, and ability to view the imagery promptly upon request are highly desirable.
Disperati, Attilio Antonio; Roderjan, Carlos Vellozo
This paper deals with the acquisition of 35 mm ground stereo photographs using one camera. The usual trees in the arborization of Curitiba were photographed in two different seasons of the year. Technical and practical aspects related with the acquisition and stereo observation are discussed. The ground stereo-pairs and aerial stereo-pairs, recently acquired from a photogrammetry survey, were introduced in the practical classes of Forest Photointerpretation and Dendrology and the reactions of the students were extremely favorable.
Photocopy of aerial photograph, Pacific Air Industries, Flight 123V, June 29, 1960 (University of California, Santa Barbara, Map and Imagery Collection) PORTION OF IRVINE RANCH SHOWING SITE CA-2275-A IN LOWER LEFT QUADRANT AND SITE CA-2275-B IN UPPER RIGHT QUADRANT (see separate photograph index for 2275-B) - Irvine Ranch Agricultural Headquarters, Carillo Tenant House, Southwest of Intersection of San Diego & Santa Ana Freeways, Irvine, Orange County, CA
52. Neg. No.-none, ca. 1950's, Photographer-Unknown, AERIAL VIEWS OF THE FORD MOTOR COMPANY ASSEMBLY PLANT, SOMETIME AFTER THE ADDITION OF THE NORTHERN WING - Ford Motor Company Long Beach Assembly Plant, Assembly Building, 700 Henry Ford Avenue, Long Beach, Los Angeles County, CA
This aerial photograph displays solid propellant line structures E-34 through E-40. Original 4 x 5 in negative housed in the JPL Archives, Pasadena, California. (JPL negative no. 384-6572A, 24 May 1967) - Jet Propulsion Laboratory Edwards Facility, Edwards Air Force Base, Boron, Kern County, CA
Spectral reflectances were measured by tri-band densitometry of aerial color-infrared photographs of soybean (Glycine mas fields that had been affected by sulfur dioside (SO2) emissions from large, coal-fired power plants in northwestern Alabama and western Tennessee. The photogr...
A scanning spectroradiometer was used to measure the optical densities of an aerial photograph of an experimental field in which soybeans were growing in response to different concentrations of ozone, an air pollutant. he plants were growing in 3 m diameter, 2.4m high open top ex...
Nielsen, Gerald A.; Long, Daniel S.; Queen, Lloyd P.
In site-specific crop management, treatments (e.g., fertilizer and herbicides) are applied precisely where they are needed. Global positioning system receivers allow accurate navigation of field implements and creation of crop yield maps. Remote sensing products help producers explain the wide range of yields shown on these maps and become the basis for digitized field management maps. Previous sources of remote sensing products for agriculture did not provide services that generated a sustained demand by crop producers, often because data were not delivered quickly enough. Public Access Resource Centers could provide a nearly uninterrupted electronic flow of data from NASA's MODIS and other sensors that could help producers and their advisors monitor crop conditions. This early warning/opportunity system would provide a low-cost way to discover conditions that merit examination on the ground. High-spatial-resolution digital aerial photographs or data from new commercial satellite companies would provide the basis for site-specific treatments. These detailed data are too expensive to acquire often and must be timed so as to represent differences in water supply characteristics and crop yield potentials. Remote sensing products must be linked to specific prescriptions that crop produces use to control operations and improve outcomes.
Chen, H. R.; Tseng, Y. H.
Historical aerial photographs directly provide good evidences of past times. The Research Center for Humanities and Social Sciences (RCHSS) of Taiwan Academia Sinica has collected and scanned numerous historical maps and aerial images of Taiwan and China. Some maps or images have been geo-referenced manually, but most of historical aerial images have not been registered since there are no GPS or IMU data for orientation assisting in the past. In our research, we developed an automatic process of matching historical aerial images by SIFT (Scale Invariant Feature Transform) for handling the great quantity of images by computer vision. SIFT is one of the most popular method of image feature extracting and matching. This algorithm extracts extreme values in scale space into invariant image features, which are robust to changing in rotation scale, noise, and illumination. We also use RANSAC (Random sample consensus) to remove outliers, and obtain good conjugated points between photographs. Finally, we manually add control points for registration through least square adjustment based on collinear equation. In the future, we can use image feature points of more photographs to build control image database. Every new image will be treated as query image. If feature points of query image match the features in database, it means that the query image probably is overlapped with control images.With the updating of database, more and more query image can be matched and aligned automatically. Other research about multi-time period environmental changes can be investigated with those geo-referenced temporal spatial data.
Cléri, I.; Pierrot-Deseilligny, M.; Vallet, B.
Historical photographs become widely used in geographical and environmental applications. Their enhancement involves converting them into georeferenced data, such as orthoimages or digital models. However no ground control points are available unlike in current image processing, and many problems such as image noise, landscape modifications, perspective distortion and unknown sensor calibration prevent automatic tie-point retrieval with current orthoimages. That is why photograph georeferencing remains a manual and time-consuming task. A novel method is presented in this paper to register photographs with current topographic database using line feature matching. Indeed, geometrical considerations only let avoid high radiometric difference issues when dealing with current orthoimages. Besides topographic database use lets selecting stable through time features, such as road network and historical buildings. A multi-scale approach allows very coarse georeferencing initialization, which can be set manually by a minimum number of ground control points per image set. At each scale an iterative processing improves the line matching and the registration model estimation at the same time. Finally, building integration makes registration more reliable for off-ground objects. Results are promising as georeferencing is much improved and its estimation converges in all test cases.
Fiorucci, F.; Cardinali, M.; Carlà, R.; Rossi, M.; Mondini, A. C.; Santurri, L.; Ardizzone, F.; Guzzetti, F.
We tested the possibility of using digital, color aerial ortho-photographs and monoscopic, panchromatic satellite images of comparable spatial and radiometric resolution, to map recent landslides in Italy and to update existing measures of landslide mobilization. In a 90-km 2 area in Umbria, central Apennines, rainfall resulted in abundant landslides in the period from September 2004 to June 2005. Analysis of the rainfall record determined the approximate dates of landslide occurrence and revealed that the slope failures occurred in response to moderately wet rainfall periods. The slope failures occurred primarily in cultivated terrain and left subtle morphological and land cover signatures, making the recognition and mapping of the individual landslides problematic. Despite the difficulty with the identification of the landslides without the use of stereoscopic visualization, visual analysis of the aerial and satellite images allowed mapping 457 new landslides, ranging in area 3.0 × 10 1 < AL < 2.5 × 10 4 m 2, for a total landslide area ALT = 6.92 × 10 5 m 2. To identify the landslides, the investigators adopted the interpretation criteria commonly used to identify and map landslides on aerial photography. The result confirms that monoscopic, very high resolution images taken by airborne and satellite sensors can be used to prepare landslide maps even where slope failures are difficult to detect, provided the imagery has sufficient geometric and radiometric resolutions. The different dates of the aerial (March 2005) and the satellite (June-July 2005) images allowed the temporal segmentation of the landslide information, and studying the statistics of landslide area and volume for different periods. Compared to pre-existing information on the abundance and size of the landslides in the area, the inventory obtained by studying the aerial and satellite images proved more complete. The new mapping showed 145% more landslides and 85% more landslide area than a pre
Lynch, David K.; Hudnut, Kenneth W.; Dearborn, David S.P.
Ever since 1858, when Gaspard-Félix Tournachon (pen name Félix Nadar) took the first aerial photograph (Professional Aerial Photographers Association 2009), the scientific value and popular appeal of such pictures have been widely recognized. Indeed, Nadar patented the idea of using aerial photographs in mapmaking and surveying. Since then, aerial imagery has flourished, eventually making the leap to space and to wavelengths outside the visible range. Yet until recently, the availability of such surveys has been limited to technical organizations with significant resources. Geolocation required extensive time and equipment, and distribution was costly and slow. While these situations still plague older surveys, modern digital photography and lidar systems acquire well-calibrated and easily shared imagery, although expensive, platform-specific software is sometimes still needed to manage and analyze the data. With current consumer-level electronics (cameras and computers) and broadband internet access, acquisition and distribution of large imaging data sets are now possible for virtually anyone. In this paper we demonstrate a simple, low-cost means of obtaining useful aerial imagery by reporting two new, high-resolution, low-cost, color digital photographic surveys of selected portions of the San Andreas fault in California. All pictures are in standard jpeg format. The first set of imagery covers a 92-km-long section of the fault in Kern and San Luis Obispo counties and includes the entire Carrizo Plain. The second covers the region from Lake of the Woods to Cajon Pass in Kern, Los Angeles, and San Bernardino counties (151 km) and includes Lone Pine Canyon soon after the ground was largely denuded by the Sheep Fire of October 2009. The first survey produced a total of 1,454 oblique digital photographs (4,288 x 2,848 pixels, average 6 Mb each) and the second produced 3,762 nadir images from an elevation of approximately 150 m above ground level (AGL) on the
Hudson, W. D.
The characteristics of 17 cover types (13 forest types or tree species and 4 nonforest cover types) in Michigan are discussed as well as their interpretation from medium scale color infrared photography. The occurrence of each type is described by region and site requirements. Those attributes of a tree or stand which are helpful when attempting to interpret the type from a vertical perspective are discussed as well as common crown types. The identification of the forest type or tree species by using image characteristics (size, shape, shadow, color, texture, pattern, or association) is discussed. Ground photographs and sketches of individual trees are included. Stereograms of typical stands are available.
Hogg, D. W.; Jackson, C.; Zytkow, A. N.; Irwin, M.; Webster, R.; Tremaine, S.
We have searched for satellites of Neptune to a limiting magnitude of BJ approximately = 20.5 in a 3 x 3 deg square region centered on the planet. This region is large enough to contain all potential satellites orbiting within the Jacobi limit rJ = (MP/3 solar mass)1/3a, where MP and solar mass are the planetary and solar masses and a is the planet's semimajor axis; for Neptune rJ/a = 1.48 deg. The search used sky-limited IIIaJ plates taken at the UK Schmidt Telescope, digitized using the APM facility in Cambridge and analyzed independently in Cambridge and Toronto. Nereid was recovered easily but no new satellites were found.
Uhrin, Amy V.; Townsend, Philip A.
Mapping of seagrass is challenging, particularly in areas where seagrass cover ranges from extensive, continuous meadows to aggregations of patchy mounds often no more than a meter across. Manual delineation of seagrass habitat polygons through visual photointerpretation of high resolution aerial imagery remains the most widely adopted approach for mapping seagrass extent but polygons often include unvegetated gaps. Although mapped polygon data exist for many estuaries, these are likely insufficient to accurately characterize spatial pattern or estimate area actually occupied by seagrass. We evaluated whether a linear spectral unmixing (LSU) classifier applied to manually-delineated seagrass polygons clipped from digital aerial images could improve mapping of seagrass in North Carolina. Representative seagrass endmembers were chosen directly from images and used to unmix image-clipped polygons, resulting in fraction planes (maps) of the proportion of seagrass present in each image pixel. Thresholding was used to generate seagrass maps for each pixel proportion from 0 (no thresholding, all pixel proportions included) to 1 (only pixels having 100% seagrass) in 0.1 increments. The optimal pixel proportion for identifying seagrass was assessed using Euclidean distance calculated from Receiver Operating Characteristic (ROC) curves and overall thematic accuracy calculated from confusion matrices. We assessed overall classifier performance using Kappa statistics and Area Under the (ROC) Curve (AUC). We compared seagrass area calculated from each threshold map to the total area of the corresponding manually-delineated polygon. LSU effectively classified seagrass and performed better than a random classification as indicated by high values for both Kappa statistics (0.72-98) and AUC (0.80-0.99). The LSU classifier effectively distinguished between seagrass and bare substrate resulting in fine-scale seagrass maps with overall thematic accuracies that exceeded our expected
Pettinger, Lawrence R.; Farmer, Adrian; Schamberger, Mel
The habitat value for elk and sage grouse of two proposed phosphate strip mine sites was determined using habitat parameter measurements from high-altitude color infrared aerial photographs. Habitat suitability was assessed using the Habitat Evaluation Procedures being developed by the U.S. Fish and Wildlife Service. Similar results were obtained from two approaches--a remote-sensing-only approach and a mix of measurements from photo interpretation and conventional field surveys.
Bartholomeus, H.; Kooistra, L.
For quantitative estimation of soil properties by means of remote sensing, often hyperspectral data are used. But these data are scarce and expensive, which prohibits wider implementation of the developed techniques in agricultural management. For precision agriculture, observations at a high spatial resolution are required. Colour aerial photographs at this scale are widely available, and can be acquired at no of very low costs. Therefore, we investigated whether publically available aerial photographs can be used to a) automatically delineate management zones and b) estimate levels of organic carbon spatially. We selected three study areas within the Netherlands that cover a large variance in soil type (peat, sand, and clay). For the fields of interest, RGB aerial photographs with a spatial resolution of 50 cm were extracted from a publically available data provider. Further pre-processing exists of geo-referencing only. Since the images originate from different sources and are potentially acquired under unknown illumination conditions, the exact radiometric properties of the data are unknown. Therefore, we used spectral indices to emphasize the differences in reflectance and normalize for differences in radiometry. To delineate management zones we used image segmentation techniques, using the derived indices as input. Comparison with management zone maps as used by the farmers shows that there is good correspondence. Regression analysis between a number of soil properties and the derived indices shows that organic carbon is the major explanatory variable for differences in index values within the fields. However, relations do not hold for large regions, indicating that local models will have to be used, which is a problem that is also still relevant for hyperspectral remote sensing data. With this research, we show that low-cost aerial photographs can be a valuable tool for quantitative analysis of organic carbon and automatic delineation of management zones
Niedzielski, Tomasz; Stec, Magdalena; Wieczorek, Malgorzata; Slopek, Jacek; Jurecka, Miroslawa
The objective of this work is to discuss the usefulness of the k-mean method in the process of detecting persons on oblique aerial photographs acquired by unmanned aerial vehicles (UAVs). The detection based on the k-mean procedure belongs to one of the modules of a larger Search and Rescue (SAR) system which is being developed at the University of Wroclaw, Poland (research project no. IP2014 032773 financed by the Ministry of Science and Higher Education of Poland). The module automatically processes individual geotagged visual-light UAV-taken photographs or their orthorectified versions. Firstly, we separate red (R), green (G) and blue (B) channels, express raster data as numeric matrices and acquire coordinates of centres of images using the exchangeable image file format (EXIF). Subsequently, we divide the matrices into matrices of smaller dimensions, the latter being associated with the size of spatial window which is suitable for discriminating between human and terrain. Each triplet of the smaller matrices (R, G and B) serves as input spatial data for the k-mean classification. We found that, in several configurations of the k-mean parameters, it is possible to distinguish a separate class which characterizes a person. We compare the skills of this approach by performing two experiments, based on UAV-taken RGB photographs and their orthorectified versions. This allows us to verify the hypothesis that the two exercises lead to similar classifications. In addition, we discuss the performance of the approach for dissimilar spatial windows, hence various dimensions of the above-mentioned matrices, and we do so in order to find the one which offers the most adequate classification. The numerical experiment is carried out using the data acquired during a dedicated observational UAV campaign carried out in the Izerskie Mountains (SW Poland).
Agrafiotis, P.; Georgopoulos, A.
This paper aims to assess the accuracy and radiometric quality of orthorectified high resolution satellite imagery from Pleiades-1B satellites through a comparative evaluation of their quantitative and qualitative properties. A Pleiades-B1 stereopair of high resolution images taken in 2013, two adjacent GeoEye-1 stereopairs from 2011 and aerial orthomosaic (LSO) provided by NCMA S.A (Hellenic Cadastre) from 2007 have been used for the comparison tests. As control dataset orthomosaic from aerial imagery provided also by NCMA S.A (0.25m GSD) from 2012 was selected. The process for DSM and orthoimage production was performed using commercial digital photogrammetric workstations. The two resulting orthoimages and the aerial orthomosaic (LSO) were relatively and absolutely evaluated for their quantitative and qualitative properties. Test measurements were performed using the same check points in order to establish their accuracy both as far as the single point coordinates as well as their distances are concerned. Check points were distributed according to JRC Guidelines for Best Practice and Quality Checking of Ortho Imagery and NSSDA standards while areas with different terrain relief and land cover were also included. The tests performed were based also on JRC and NSSDA accuracy standards. Finally, tests were carried out in order to assess the radiometric quality of the orthoimagery. The results are presented with a statistical analysis and they are evaluated in order to present the merits and demerits of the imaging sensors involved for orthoimage production. The results also serve for a critical approach for the usability and cost efficiency of satellite imagery for the production of Large Scale Orthophotos.
Li, S. Z.; Kittler, Josef; Petrou, Maria
We have developed a method of matching and recognizing aerial road network images based on road network models. The input is a list of line segments of an image obtained from a preprocessing stage, which is usually fragmentary and contains extraneous noisy segments. The output is the correspondences between the image line segments and model line segments. We use attributed relational graphs (ARG) to describe images and models. An ARG consists of a set of nodes, each node representing a line segment, and attributed relations between nodes. The task of matching is to find the best correspondences between the image ARG and the model ARG. The correspondences are found using a relaxation labeling algorithm, which optimizes a criterion of similarity. The algorithm is capable of subgraph matching of an image road structure to a map road model covering an area 10 times larger than the area imaged by the sensor, provided that the image distortion due to perspective imaging geometry has been corrected during preprocessing stages. We present matching experiments and demonstrate the stability of the matching method to extraneous line segments, missing line segments, and errors in scaling.
Habowski, S.; Cialek, C.
An inventory methodology was developed to identify potential wild area sites. A list of site criteria were formulated and tested in six selected counties. Potential sites were initially identified from LANDSAT satellite imagery. A detailed study of the soil, vegetation and relief characteristics of each site based on both high-altitude aerial photographs and existing map data was conducted to eliminate unsuitable sites. Ground reconnaissance of the remaining wild areas was made to verify suitability and acquire information on wildlife and general aesthetics. Physical characteristics of the wild areas in each county are presented in tables. Maps show the potential sites to be set aside for natural preservation and regulation by the state under the Wilderness and Natural Areas Act of 1972.
Clarke, Lucy; Fox, Adrian
Changes to glacier fronts and ice shelves and glacier acceleration are well documented, but there is almost no data on mass changes for the more than 400 glaciers on the Antarctic Peninsula. Current research demonstrates that the Antarctic Peninsula is contributing to sea-level change at a similar rate to that of other fast-changing near-polar or large mountain-glacier environments such as Iceland, Patagonia and Alaska (Hock, 2009). Forecasting the future impacts of the Antarctic Peninsula ice sheet on sea level will require a much improved understanding of 20th Century and contemporary glacier mass changes. Satellite data has been used to calculate these changes over the last three decades, but methods to quantify this over a longer time scale have eluded researchers. However, there is an archive of aerial photography of the Antarctic Peninsula dating back to the 1940s, this has been largely ignored due to the range of technical problems associated with deriving quantitative data from historic aerial photographs. This presentation demonstrates how advances in photogrammetric processing and capture of modern aerial photography have allowed this archive to be 'unlocked'. Accurate photogrammetric reconstruction from aerial photographs traditionally requires known ground control points acquired in the field; in remote and inaccessible areas, such as the Antarctic Peninsula, this is often impossible and so has restricted the use of photogrammetric analysis of the available aerial photography. A method for providing control for historic photos without fieldwork on the ground, by linking them to a newly acquired, highly accurate photogrammetric model adjusted through direct kinematic GPS positioning of the camera was developed by Fox and Cziferszky (2008), and this is now being applied to a number of glaciers across the Antarctic Peninsular using Intergraph Photogrammetry Suite (Erdas LPS 2013) software. This presentation will outline the photogrammetric workflow and
Pinz, Axel J.
Increasing problems of forest damage in Central Europe set the demand for an appropriate forest damage assessment tool. The Vision Expert System (VES) is presented which is capable of finding trees in color infrared aerial photographs. Concept and architecture of VES are discussed briefly. The system is applied to a multisource test data set. The processing of this multisource data set leads to a multiple interpretation result for one scene. An integration of these results will provide a better scene description by the vision system. This is achieved by an implementation of Steven's correlation algorithm.
Dejesusparada, N. (Principal Investigator); Formaggio, A. R.; Epiphanio, J. C. N.; Filho, M. V.
Data obtained from aerial photographs (1:60,000) and LANDSAT return beam vidicon imagery (1:100,000) concerning drainage density, drainage texture, hydrography density, and the average length of channels were compared. Statistical analysis shows that significant differences exist in data from the two sources. The highly drained area lost more information than the less drained area. In addition, it was observed that the loss of information about the number of rivers was higher than that about the length of the channels.
Sitnikov, Nikolay; Borisov, Yuriy; Akmulin, Dimitry; Chekulaev, Igor; Efremov, Denis; Sitnikova, Vera; Ulanovsky, Alexey; Popovicheva, Olga
The perspectives of the development of methods and facilities based on UAV for atmospheric investigations are considered. Some aspects of these methods applications are discussed. Developments of the experimental samples of UAV onboard equipment for measurements of atmospheric parameters carried out in Central Aerological Observatory are presented. Hardware system for the UAV is developed. The results of measurements of the spatial distributions of the thermodynamic parameters and the concentrations of some gas species onboard of remotely piloted and unmanned aerial vehicles obtained in field tests are presented. The development can be used for satellite data validation, as well as operative environmental monitoring of contaminated areas in particular, chemical plants, natural and industrial disasters territories, areas and facilities for space purposes , etc.
Cowardin, L.M.; Gilmer, D.S.; Mechlin, L.M.
Wetland characteristics were assessed from a systematic sample of 66 plots, 3.22 km2 each, drawn from a 10,041-km2 study area in central North Dakota. Each plot was visited once and 8 sets of aerial photographs were obtained in 3 years. Density of wetland basins was 11.00 ha/km2, and area averaged 9.7 ha/km2. Seasonal and temporary wetlands were most abundant; semipermanent wetlands occupied the greatest area. Basin size was positively correlated with water permanence. Discriminant function analysis based on size and an index to wetness derived from photographs misclassified 33% of the wetland basins. Forty percent of the wetlands were tilled. Photography of sample plots is potentially useful for determining number of basins and wetland area, but precise classification of plant communities in this region would require ground study.
Parada, N. D. J. (Principal Investigator); Moreira, M. A.; Chen, S. C.; Batista, G. T.
A procedure to estimate wheat (Triticum aestivum L) area using sampling technique based on aerial photographs and digital LANDSAT MSS data is developed. Aerial photographs covering 720 square km are visually analyzed. To estimate wheat area, a regression approach is applied using different sample sizes and various sampling units. As the size of sampling unit decreased, the percentage of sampled area required to obtain similar estimation performance also decreased. The lowest percentage of the area sampled for wheat estimation with relatively high precision and accuracy through regression estimation is 13.90% using 10 square km as the sampling unit. Wheat area estimation using only aerial photographs is less precise and accurate than those obtained by regression estimation.
Ishiguro, Satoshi; Yamano, Hiroya; Oguma, Hiroyuki
An accuracy assessment of digital surface models (DSMs) generated from archived aerial photographs using the structure from motion-multi-view stereo (SfM-MVS) technique was carried out. A four-step accuracy-assessment procedure was adopted using aerial photography from eight periods, as follows. Step 1: generate a DSM and orthophoto from digital aerial photographs taken in 2013 and ground control points (GCPs) measured by GNSS. Step 2: assess the accuracy of the DSM by comparison with altitude measured by leveling survey. Step 3: generate other historical DSMs and orthophotos from historical aerial photographs using GCPs extracted from the DSM of 2013. Step 4: assess the accuracy of all historical DSMs by comparing with the leveling survey. Then re-calculate the accuracy of historical DSMs by reducing the inherent error in the 2013 DSM. The DSM based on the aerial photographs taken in 2013 was generated with a resolution of 48.2 cm. The residual height error of the GCPs was 15.4 cm. Validation against the altitudes of 171 points revealed that this DSM has a height root-mean-square-error (RMSE) of 24.1 cm and is 9.2 cm lower than the leveling data on average. Even using US military photos with unconfirmed detailed specifications, the model can measure the altitude with an RMSE value of 121.5 cm. It appears therefore that analysis by SfM-MVS can give comparable measurement accuracy to traditional aerial photogrammetry. The low cost and high accuracy obtained with archived aerial photographs are worthy of special mention.
Bangen, S. G.; Wheaton, J. M.; Bouwes, N.
A severe decline in Columbia River salmonid populations and subsequent Federal listing of subpopulations has mandated both the monitoring of populations and evaluation of the status of available habitat. Numerous field and analytical methods exist to assist in the quantification of the abundance and quality of in-stream habitat for salmonids. These methods range from field 'stick and tape' surveys to spatially explicit topographic and aerial photographic surveys from a mix of ground-based and remotely sensed airborne platforms. Although several previous studies have assessed the quality of specific individual survey methods, the intercomparison of competing techniques across a diverse range of habitat conditions (wadeable headwater channels to non-wadeable mainstem channels) has not yet been elucidated. In this study, we seek to enumerate relative quality (i.e. accuracy, precision, extent) of habitat metrics and inventories derived from an array of ground-based and remotely sensed surveys of varying degrees of sophistication, as well as quantify the effort and cost in conducting the surveys. Over the summer of 2010, seven sample reaches of varying habitat complexity were surveyed in the Lemhi River Basin, Idaho, USA. Complete topographic surveys were attempted at each site using rtkGPS, total station, ground-based LiDaR and traditional airborne LiDaR. Separate high spatial resolution aerial imagery surveys were acquired using a tethered blimp, a drone UAV, and a traditional fixed-wing aircraft. Here we also developed a relatively simplistic methodology for deriving bathymetry from aerial imagery that could be readily employed by instream habitat monitoring programs. The quality of bathymetric maps derived from aerial imagery was compared with rtkGPS topographic data. The results are helpful for understanding the strengths and weaknesses of different approaches in specific conditions, and how a hybrid of data acquisition methods can be used to build a more complete
Rivera, A.; Casassa, G.; Bown, F.; Fernandez, A.
The glaciers located in the Chilean southern Andes region (41-51S) have been re- treating and shrinking during most of the last century, in response to a climate warm- ing trend recognised in many climatic stations of the country. During recent years, several calving and small mountain glaciers have been analysed, in an attempt to cor- relate the short historical glacier variation (no longer than 150 years) with long term dendrochronological series (from 300 to 1000 years). The aim of this analysis is to un- derstand climate change during the last millennia, as well as the mechanisms of glacier response to such climatic changes. In this context, mass balance studies are one of the most important approaches to determine the specific relationship of glaciers to annual and decadal climatic changes. In Chile, only one glacier (glaciar Echaurren, 33S) has been systematically measured since 1975, generating the longest mass balance series of the country. To account for the mass balance of glaciers in the southern region of Chile, a geodetic method is presented, based upon the comparison of digital elevation models (DEM) obtained from aerial photographs and ASTER imagery from different dates. This method have been applied to glaciar Chico located at 49S in the Southern Patagonia Icefield, where we have generated DEMs from aerial photographs of 1975 and 1995, as well as one DEM from an ASTER image of October 2001. The DEMs are geo-referenced to a network of GPS points, measured in several field campaigns carried out during recent years at rock outcrops and in the accumulation area of the glacier. The last campaign was done during September and October 2001, allowing a high accuracy ground control validation for DEM derived from the contemporary ASTER image. The mass balance analysis is complemented with frontal variations derived from Landsat TM imagery, as well as field data and aerial photographs. One preliminary result of this study shows a consistent ice thinning, at
Barragán, W.; Campos, A.; Sanchez, G.
The objective of this research is automatic generation of buildings in the interest areas. This research was developed by using high resolution vertical aerial photographs and the LIDAR point cloud through radiometric and geometric digital processes. The research methodology usesknown building heights and various segmentation algorithms and spectral band combination. The overall effectiveness of the algorithm is 97.2% with the test data.
Kamiya, K.; Fuse, T.; Takahashi, M.
Since satellite and aerial imageries are recently widely spread and frequently observed, combination of them are expected to complement spatial and temporal resolution each other. One of the prospective applications is traffic monitoring, where objects of interest, or vehicles, need to be recognized automatically. Techniques that employ object detection before object recognition can save a computational time and cost, and thus take a significant role. However, there is not enough knowledge whether object detection method can perform well on satellite and aerial imageries. In addition, it also has to be studied how characteristics of satellite and aerial imageries affect the object detection performance. This study employ binarized normed gradients (BING) method that runs significantly fast and is robust to rotation and noise. For our experiments, 11-bits BGR-IR satellite imageries from WorldView-3, and BGR-color aerial imageries are used respectively, and we create thousands of ground truth samples. We conducted several experiments to compare the performances with different images, to verify whether combination of different resolution images improved the performance, and to analyze the applicability of mixing satellite and aerial imageries. The results showed that infrared band had little effect on the detection rate, that 11-bit images performed less than 8-bit images and that the better spatial resolution brought the better performance. Another result might imply that mixing higher and lower resolution images for training dataset could help detection performance. Furthermore, we found that aerial images improved the detection performance on satellite images.
Pope, P.; Van Eeckhout, E.; Rofer, C.; Baldridge, S.; Ferguson, J.; Jiracek, G.; Balick, L.; Josten, N.; Carpenter, M.
Six different techniques were used to delineate 40 year old trench boundary at Los Alamos National Laboratory. Data from historical aerial photographs, a magnetic gradient survey, airborne multispectral and thermal infra-red imagery, seismic refraction, DC resistivity, and total field magnetometry were utilized in this process. Each data set indicated a southern and northern edge for the trench. Average locations and 95% confidence limits for each edge were determined along a survey line perpendicular to the trench. Trench edge locations were fairly consistent among all six techniques. Results from a modeling effort performed with the total magnetic field data was the least consistent. However, each method provided unique and complementary information, and the integration of all this information led to a more complete characterization of the trench boundaries and contents.
Edwards, G.J.; Cure, W.W.
A scanning spectroradiometer was used to measure the optical densities of an aerial photograph of an experimental field in which soybeans were growing in response to different concentrations of ozone, an air pollutant. The plants were growing in 3 m diameter, 2.4 m high open-top exposure chambers. Correlation coefficients among the film densities, plant yield and visual estimates of non-green leaf area for the 16 test plots were highly significant (p<0.0); those with ozone treatment concentrations were significant (p<0.05). The early senescence induced by this form of environmental stress can thus be detected by film density differences, and these differences are well correlated with ground indicators of crop condition.
The stability of the Neosho River channel downstream from John Redmond Dam, in southeast Kansas, was investigated using multiple-date aerial photographs and stream-gage information. Bankfull channel width was used as the primary indicator variable to assess pre- and post-dam channel change. Five six-mile river reaches and four stream gages were used in the analysis. Results indicated that, aside from some localized channel widening, the overall channel change has been minor with little post-dam change in bankfull channel width. The lack of a pronounced postdam channel change may be attributed to a substantial reduction in the magnitude of the post-dam annual peak discharges in combination with the resistance to erosion of the bed and bank materials. Also, the channel may have been overwidened by a series of large floods that predated construction of the dam, including one with an estimated 500-year recurrence interval.
Haramis, G.M.; Goldsberry, J.R.; McAuley, D.G.; Derleth, E.L.
Conventional 35 mm photography was used to conduct an aerial photographic census of canvasbacks (A. valisineria) throughout Chesapeake Bay (tidal Maryland and Virginia) and coastal North Carolina, Jan. 26-30, 1981. Flock size and sex ratio characteristics were determined from examination of color transparencies of 165 canvasback flocks totaling > 95,000 birds. A sex ratio of 2.91 males/female was determined from 68,769 birds, 80% of the birds in 150 flocks. Sex ratio for the Atlantic Flyway was projected as 2.90 males/female. The greatest number of canvasbacks and the widest range of flock size were recorded in Maryland waters; the fewest canvasbacks and the smallest average flock size in Virginia; and the fewest but on average the largest flocks of canvasbacks in North Carolina. Sex ratio varied latitudinally in the flyway with a tendency for males to occupy more northern and females more southern latitudes in winter. Sex ratio (males/female) was highest in Maryland (3.98), slightly lower in Virginia (3.71), and lowest in North Carolina (1.70). Locally, sex ratio varied with flock size. In Chesapeake Bay, small flocks ( 1000) flocks. By providing large-sample sex ratio information, as well as exact counts of birds, low-level 35-mm aerial photography is the most efficient and accurate means of determining canvasback population status in eastern coastal habitats.
Liu, S. B.; Poore, B. S.; Plant, N. G.; Stockdon, H. F.; Morgan, K.; Snell, R.
The U.S. Geological Survey (USGS) has been acquiring oblique aerial photographs of the coast before and after major storms since 1995 and has amassed a database of over 140,000 photographs of the Gulf, Atlantic, and Pacific coasts. USGS coastal scientists use these photographs to document and characterize coastal change caused by storms. The images can also be used to evaluate the accuracy of predictive models of coastal erosion. However, the USGS does not have the personnel to manually analyze all of the photographs taken after a storm. Also, computers cannot yet automatically identify damages and geomorphic changes to the coast from the oblique aerial photographs. There is a high public interest in accessing the limited number of pre- and post-storm photographic pairs the USGS is currently able to share. Recent federal policies that encourage open data and open innovation initiatives have resulted in many federal agencies developing new ways of using citizen science and crowdsourcing techniques to share data and collaborate with the public to accomplish large tasks. The USGS launched a crowdsourcing application in June 2014 called "iCoast - Did the Coast Change?" (http://coastal.er.usgs.gov/icoast) to allow citizens to help USGS scientists identify changes to the coast by comparing USGS aerial photographs taken before and after storms, and then selecting pre-defined tags like "dune scarp" and "sand on road." The tags are accompanied by text definitions and pictorial examples of these coastal morphology terms and serve to informally and passively educate users about coastal hazards. The iCoast application facilitates greater citizen awareness of coastal change and is an educational resource for teachers and students interested in learning about coastal vulnerability. We expect that the citizen observations from iCoast will assist with probabilistic model development to produce more accurate predictions of coastal vulnerability.
Morgan, Karen L. M.; Karen A. Westphal
The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 9-10, 2008, the USGS conducted an oblique aerial photographic survey from Calcasieu Lake, Louisiana, to Brownsville, Texas, aboard a Cessna C-210 (aircraft) at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect baseline data for assessing incremental changes of the beach and nearshore area, and the data can be used in the assessment of future coastal change.The photographs provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML file was created using the photographic navigation files. The KML file can be found in the kml folder.
Muller, B. M.; Herbster, C. G.; Mosher, F. R.
Unique aerial photographs of atmospheric eddies in marine stratocumulus clouds downwind of complex terrain along the California coast are presented and analyzed. While satellite imagery of similar eddies have appeared in the scientific literature since the 1960's, it is believed that these are the first close-up photographs of such eddies, taken from an airplane, to appear in publication. Two photographs by a commercial pilot, flying California coastal routes, are presented: one from July 16, 2006 downwind of Santa Cruz Island, a 740 m peak bordering the Santa Barbara Channel off the California coast; and one from September 12, 2006 near Grover Beach, California, downwind of a headland containing the San Luis Range, a region of complex terrain near San Luis Obispo, California, with ridges ranging approximately from 240 to 550 m elevation. Both eddies occurred in the lee of inversion-penetrating terrain, and were marked by a cyclonic vortex in the clouds with a striking cloud-free 'eye' feature roughly 3 km in diameter. The Santa Cruz Island eddy was 25 km in length and 9-10 km in width, while the Grover Beach eddy was 17 km in length and had a width of 9 km, placing it in the meso-gamma scale of atmospheric features. GOES (Geostationary Operational Environmental Satellite) imagery for both cases was obtained and help to define the lifecycle and motions of the eddies captured in the snapshots. Relevant meteorological observations for the Santa Cruz Island eddy were not located, but in-situ observations from the Diablo Canyon Nuclear Power Plant, California Polytechnic State University (Cal Poly) pier, and the San Luis Obispo County Air Pollution Control District, made possible a more detailed examination of the Grover Beach eddy and its structure. Additionally, we offer speculation on an eddy formation mechanism consistent with the satellite and in-situ observations described in this presentation, and hypotheses from the literature on low Froude number, continuously
Cheriyadat, Anil M
Automatic scene categorization can benefit various aerial video processing applications. This paper addresses the problem of predicting the scene category from aerial video frames using a prior model learned from satellite imagery. We show that local and global features in the form of line statistics and 2-D power spectrum parameters respectively can characterize the aerial scene well. The line feature statistics and spatial frequency parameters are useful cues to distinguish between different urban scene categories. We learn the scene prediction model from highresolution satellite imagery to test the model on the Columbus Surrogate Unmanned Aerial Vehicle (CSUAV) dataset ollected by high-altitude wide area UAV sensor platform. e compare the proposed features with the popular Scale nvariant Feature Transform (SIFT) features. Our experimental results show that proposed approach outperforms te SIFT model when the training and testing are conducted n disparate data sources.
'unlocking the Archive': Using Digital Photogrammetry of Modern Airborne Aerial Photography for Analysis of Historic Aerial Photographs to Extend the Record of Glacier Mass Balance Change on the Antarctic Peninsula
Clarke, L. E.; Miller, P.; Fox, A. J.; Mills, J. P.
Changes to glacier fronts and ice shelves and glacier acceleration are well documented, but there are almost no data on mass changes for the more than 400 glaciers on the Antarctic Peninsula. Satellite data have been used to calculate change over the last 3 decades, but methods to quantify this over longer timescales have eluded researchers. However there is an archive of aerial photography dating back to the 1940s, this has been largely ignored due to the range of technical problems associated with deriving quantitative data from historic imagery and the lack of ground control data. This presentation demonstrates how advances in photogrammetric processing and capture of modern aerial photography has allowed this archive to be 'unlocked'. Accurate photogrammetric reconstruction from aerial photographs traditionally requires known ground control points acquired in the field; however, in remote and inaccessible areas, such as the Antarctic Peninsula, this is often impossible. A method for providing control for historic photos without fieldwork, by linking them to a newly acquired, highly accurate photogrammetric model adjusted through direct kinematic GPS positioning of the camera has been applied to a number of glaciers across the Antarctic Peninsula. This presentation will outline the photogrammetric workflow and associated errors to highlight the suitability of this technique and demonstrate the data that can be obtained. Accurate measurements of surface elevation change on glaciers on the Antarctic Peninsula over a 70 year time span have enabled quantification of spatial and temporal patterns of change. The results show a general trend of glacier retreat, but with thinning of the glacier terminus marginally offset by accumulation in the upper areas of the glacier. The use of this technique opens up possibilities for 'unlocking the archive' in other remote glacial areas where historic aerial photography exists but the collection of ground control points is limited.
Zen, Luan; Tan, Jiubin; Zhao, Zhongwen
In order to make it possible for an image data acquisition and storage system used for aerial photographic survey to have a continuous storage speed of 144 MB/s and data storage capacity of 260GB, three main problems have been solved in this paper. First, with multi-channel synchronous DMA transfer, parallel data storage of four SCSI hard disks is realized. It solved the problem of the data transfer rate too high for direct storage. Then, to increase the data transfer rate, a high speed BUS based on LVDS and a SCSI control circuit based on FAS368M were designed. It solved the problem of PCI BUS limiting the storage speed. Finally, the problem of the SCSI hard disk continuous storage speed declining led by much time interval between two DMA transfers is solved by optimizing DMA channel. The practical system test shows that the acquisition and storage system has a continuous storage speed of 150 MB/s and a data storage capacity of 280GB. Therefore, it is a new storage method for high speed and mass image data.
Korsgaard, Niels J; Nuth, Christopher; Khan, Shfaqat A; Kjeldsen, Kristian K; Bjørk, Anders A; Schomacker, Anders; Kjær, Kurt H
Digital Elevation Models (DEMs) play a prominent role in glaciological studies for the mass balance of glaciers and ice sheets. By providing a time snapshot of glacier geometry, DEMs are crucial for most glacier evolution modelling studies, but are also important for cryospheric modelling in general. We present a historical medium-resolution DEM and orthophotographs that consistently cover the entire surroundings and margins of the Greenland Ice Sheet 1978-1987. About 3,500 aerial photographs of Greenland are combined with field surveyed geodetic ground control to produce a 25 m gridded DEM and a 2 m black-and-white digital orthophotograph. Supporting data consist of a reliability mask and a photo footprint coverage with recording dates. Through one internal and two external validation tests, this DEM shows an accuracy better than 10 m horizontally and 6 m vertically while the precision is better than 4 m. This dataset proved successful for topographical mapping and geodetic mass balance. Other uses include control and calibration of remotely sensed data such as imagery or InSAR velocity maps. PMID:27164457
Korsgaard, Niels J.; Nuth, Christopher; Khan, Shfaqat A.; Kjeldsen, Kristian K.; Bjørk, Anders A.; Schomacker, Anders; Kjær, Kurt H.
Digital Elevation Models (DEMs) play a prominent role in glaciological studies for the mass balance of glaciers and ice sheets. By providing a time snapshot of glacier geometry, DEMs are crucial for most glacier evolution modelling studies, but are also important for cryospheric modelling in general. We present a historical medium-resolution DEM and orthophotographs that consistently cover the entire surroundings and margins of the Greenland Ice Sheet 1978–1987. About 3,500 aerial photographs of Greenland are combined with field surveyed geodetic ground control to produce a 25 m gridded DEM and a 2 m black-and-white digital orthophotograph. Supporting data consist of a reliability mask and a photo footprint coverage with recording dates. Through one internal and two external validation tests, this DEM shows an accuracy better than 10 m horizontally and 6 m vertically while the precision is better than 4 m. This dataset proved successful for topographical mapping and geodetic mass balance. Other uses include control and calibration of remotely sensed data such as imagery or InSAR velocity maps. PMID:27164457
Harb Rabia, Ahmed; Terribile, Fabio
Aerial photography is an important source of high resolution remotely sensed data. Before 1970, aerial photographs were the only remote sensing data source for land use and land cover classification. Using these old aerial photographs improve the final output of land use and land cover change detection. However, classic techniques of aerial photographs classification like manual interpretation or screen digitization require great experience, long processing time and vast effort. A new technique needs to be developed in order to reduce processing time and effort and to give better results. Geographic object based image analysis (GEOBIA) is a newly developed area of Geographic Information Science and remote sensing in which automatic segmentation of images into objects of similar spectral, temporal and spatial characteristics is undertaken. Unlike pixel-based technique, GEOBIA deals with the object properties such as texture, square fit, roundness and many other properties that can improve classification results. GEOBIA technique can be divided into two main steps; segmentation and classification. Segmentation process is grouping adjacent pixels into objects of similar spectral and spatial characteristics. Classification process is assigning classes to the generated objects based on the characteristics of the individual objects. This study aimed to use GEOBIA technique to develop a novel approach for land use and land cover classification of aerial photographs that saves time and effort and gives improved results. Aerial photographs from 1954 of Valle Telesina in Italy were used in this study. Images were rectified and georeferenced in Arcmap using topographic maps. Images were then processed in eCognition software to generate land use and land cover map of 1954. A decision tree rule set was developed in eCognition to classify images and finally nine classes of general land use and land cover in the study area were recognized (forest, trees stripes, agricultural
Urban land-use research is a key component in analyzing the interactions between human activities and environmental change. Researchers have conducted many experiments to classify urban or built-up land, forest, water, agriculture, and other land-use and land-cover types. Separating residential land uses from other land uses within urban areas, however, has proven to be surprisingly troublesome. Although high-resolution images have recently become more available for land-use classification, an increase in spatial resolution does not guarantee improved classification accuracy by traditional classifiers due to the increase of class complexity. This research presents an approach to detect and separate residential land uses on a building scale directly from remotely sensed imagery to enhance urban land-use analysis. Specifically, the proposed methodology applies a multi-directional ground filter to generate a bare ground surface from lidar data, then utilizes a morphology-based building detection algorithm to identify buildings from lidar and aerial photographs, and finally separates residential buildings using a supervised C4.5 decision tree analysis based on the seven selected building land-use indicators. Successful execution of this study produces three independent methods, each corresponding to the steps of the methodology: lidar ground filtering, building detection, and building-based object-oriented land-use classification. Furthermore, this research provides a prototype as one of the few early explorations of building-based land-use analysis and successful separation of more than 85% of residential buildings based on an experiment on an 8.25-km2 study site located in Austin, Texas.
Murphy, Marilyn K.; Kowalski, Kurt P.; Grapentine, Joel L.
The geocontrol template method was developed to georeference multiple, overlapping analog aerial photographs without reliance upon conventionally obtained horizontal ground control. The method was tested as part of a long-term wetland habitat restoration project at a Lake Erie coastal wetland complex in the U.S. Fish and Wildlife Service Ottawa National Wildlife Refuge. As in most coastal wetlands, annually identifiable ground-control features required to georeference photo-interpreted data are difficult to find. The geocontrol template method relies on the following four components: (a) an uncontrolled aerial photo mosaic of the study area, (b) global positioning system (GPS) derived horizontal coordinates of each photo’s principal point, (c) a geocontrol template created by the transfer of fiducial markings and calculated principal points to clear acetate from individual photographs arranged in a mosaic, and (d) the root-mean-square-error testing of the system to ensure an acceptable level of planimetric accuracy. Once created for a study area, the geocontrol template can be registered in geographic information system (GIS) software to facilitate interpretation of multiple images without individual image registration. The geocontrol template enables precise georeferencing of single images within larger blocks of photographs using a repeatable and consistent method.
Nyssen, Jan; Gebremeskel, Gezahegne; Mohamed, Sultan; Petrie, Gordon; Seghers, Valérie; Meles Hadgu, Kiros; De Maeyer, Philippe; Haile, Mitiku; Frankl, Amaury
8281 assemblages of aerial photographs (APs) acquired by the 7a Sezione Topocartografica during the Italian occupation of Ethiopia (1935-1941) have recently been discovered, scanned and organised. The oldest APs of the country that are known so far were taken in the period 1958-1964. The APs of the 1930s were analysed for their technical characteristics, scale, flight lines, coverage, use in topographic mapping, and potential future uses. The APs over Ethiopia in 1935-1941 are presented as assemblages on approx. 50 cm x 20 cm cardboard tiles, each holding a label, one nadir-pointing photograph flanked by two low-oblique photographs and one high-oblique photograph. The four APs were exposed simultaneously and were taken across the flight line; the high-oblique photograph is presented alternatively at left and at right; there is approx. 60% overlap between subsequent sets of APs. One of Santoni's glass plate multi-cameras was used, with focal length of 178 mm, flight height at 4000-4500 m a.s.l., which results in an approximate scale of 1:11 500 for the central photograph and 1:16 000 to 1:18 000 for the low-oblique APs. The surveyors oriented themselves with maps of Ethiopia at 1:400 000 scale, compiled in 1934. The flights present a dense AP coverage of Northern Ethiopia, where they were acquired in the context of upcoming battles with the Ethiopian army. Several flights preceded the later advance of the Italian army southwards towards the capital Addis Ababa. Further flights took place in central Ethiopia for civilian purposes. As of 1936, the APs were used to prepare highly detailed topographic maps at 1:100 000 scale. These APs (1935-1941) together with APs of 1958-1964, 1994 and recent high-resolution satellite imagery are currently being used in spatially explicit change studies of land cover, land management and (hydro)geomorphology in Ethiopia over a time span of almost 80 years, the first results of which will be presented.
Topographical analysis of the territory by field survey, check on site and revision of previous data and pertinent documentation (bibliography, archives, information in loco, etc.), examination and analysis of historical and recent aerial photographs from different archives, monitorig flights on risk areas. Aim: historical sight of territory to create a standard format for legal protection of cultural heritage remains, need of knowledge for the establishment of a global Cultural Heritage Cadastre connected to studies for legal protection and enjoyment of great interest sites; not last the correct territory planning.
Shukla, P. K.; Goel, S.; Singh, P.; Lohani, B.
Tracking of targets from aerial platforms is an important activity in several applications, especially surveillance. Knowled ge of geolocation of these targets adds additional significant and useful information to the application. This paper determines the geolocation of a target being tracked from an aerial platform using the technique of image registration. Current approaches utilize a POS to determine the location of the aerial platform and then use the same for geolocation of the targets using the principle of photogrammetry. The constraints of cost and low-payload restrict the applicability of this approach using UAV platforms. This paper proposes a methodology for determining the geolocation of a target tracked from an aerial platform in a partially GPS devoid environment. The method utilises automatic feature based registration technique of a georeferenced satellite image with an ae rial image which is already stored in UAV's database to retrieve the geolocation of the target. Since it is easier to register subsequent aerial images due to similar viewing parameters, the subsequent overlapping images are registered together sequentially thus resulting in the registration of each of the images with georeferenced satellite image thus leading to geolocation of the target under interest. Using the proposed approach, the target can be tracked in all the frames in which it is visible. The proposed concept is verified experimentally and the results are found satisfactory. Using the proposed method, a user can obtain location of target of interest as well features on ground without requiring any POS on-board the aerial platform. The proposed approach has applications in surveillance for target tracking, target geolocation as well as in disaster management projects like search and rescue operations.
Sadowski, Franklin G.; Sturdevant, James A.; Rowntree, Rowan A.
Two methods of analysis were evaluated for mapping urban vegetation on high-altitude, color-infrared aerial photographs and Landsat MSS data of Syracuse, NY. The first method consisted of defining the spatial patterns (strata) of urban vegetation occurrence. The second method discriminated woody and herbaceous vegetation classes within defined strata. Emphasis was placed on evaluating the consistency of each method. Results indicate that consistent spatial patterns of urban vegetation strata were not achieved on either of the two data types tested due to the spatial complexity of the urban vegetation. However, for discriminating woody and herbaceous vegetation classes within defined strata, good consistency was noted among the interpreters of the high-altitude aerial photographs. The coarse spatial resolution of the Landsat MSS data resulted in low precision for identifying these two vegetation classes in this highly urbanized area. Where photointerpretation efforts are intended for mapping vegetation within numerous urban areas, the estimation of proportions of vegetation classes within defined strata should be a data analysis procedure more objective and consistently repeatable than is the delineation of vegetation patterns.
Erfanifard, Yousef; Feghhi, Jahangir; Zobeiri, Mahmoud; Namiranian, Manouchehr
The purpose of this investigation was to develop a method to determine the spatial pattern of trees as a robust indicator to monitor changes from B&W aerial photographs in Persian oak forests of Zagros, Iran. A 500 x 600 m study area was selected in Servak forests next to Yasuj city in Kohgiluyeh-Va-BuyerAhmad Province. All the trees were tagged in the study area and the point map of stems were prepared. The spatial distribution of trees was determined as "dispersed" using nearest neighbour technique. Then the index of "C" calculated by T-square sampling method was applied to the point map of the study area in 30 systematic sample points in a 100 x 100 m network. Comparing the results of this method with the true spatial pattern of the study area showed that "C" can detect the spatial arrangement of trees. Thereafter the index was used on the air photo of the study area that was made of B&W aerial photographs. The method suggested in this study provides a suitable approach for detecting the spatial pattern of trees in Zagros forests on B&W air photos. PMID:18351437
Sun, Bo; Xu, Qihua; He, Jun; Ge, Fengxiang; Wang, Ying
In recent years, earthquake and heavy rain have triggered more and more landslides, which have caused serious economic losses. The timely detection of the disaster area and the assessment of the hazard are necessary and primary for disaster mitigation and relief. As high-resolution satellite and aerial images have been widely used in the field of environmental monitoring and disaster management, the damage assessment by processing satellite and aerial images has become a hot spot of research work. The rapid assessment of building damage caused by landslides with high-resolution satellite or aerial images is the focus of this article. In this paper, after analyzing the morphological characteristics of the landslide disaster, we proposed a set of criteria for rating building damage, and designed a semi-automatic evaluation system. The system is applied to the satellite and aerial images processing. The performance of the experiments demonstrated the effectiveness of our system.
Tan, Hui Li; Fan, Jiayuan; Lu, Shijian
Rooftop extraction from satellite/aerial imagery is an important geospatial problem with many practical applications. However, rooftop extraction remains a challenging problem due to the diverse characteristics and appearances of the buildings, as well as the quality of the satellite/aerial images. Many existing rooftop extraction methods use rooftop corners as a basic component. Nonetheless, existing rooftop corner detectors either suffer from high missed detection or introduce high false alarm. Based on the observation that rooftop corners are typically of L-shape, we propose an L-shaped corner detector for automatic rooftop extraction from high resolution satellite/aerial imagery. The proposed detector considers information in a spatial circle around each pixel to construct a feature map which captures the probability of L-shaped corner at every pixel. Our experimental results on a rooftop database of over 200 buildings demonstrate its effectiveness for detecting rooftop corners. Furthermore, our proposed detector is complementary to many existing rooftop extraction approaches which require reliable rooftop corners as their inputs. For instance, it can be used in the quadrilateral footprint extraction methods or in driving level-set-based segmentation techniques.
Parada, N. D. J. (Principal Investigator); Costa, S. R. X.; Paiao, L. B. F.; Mendonca, F. J.; Shimabukuro, Y. E.; Duarte, V.
The two phase sampling technique was applied to estimate the area cultivated with sugar cane in an approximately 984 sq km pilot region of Campos. Correlation between existing aerial photography and LANDSAT data was used. The two phase sampling technique corresponded to 99.6% of the results obtained by aerial photography, taken as ground truth. This estimate has a standard deviation of 225 ha, which constitutes a coefficient of variation of 0.6%.
Because they contain abundant spatial information, high resolution satellite images are widely used in a variety of applications. Aerial triangulation is one of the most important technologies to obtain accurate spatial information from those images. Thus aerial triangulation is always an important research topic in the photogrammetric community and automatic aerial triangulation is a common goal of such PhD research activities. To date, many techniques have been developed to improve the efficiency and accuracy of aerial triangulation. However, for processing high resolution satellite images, automatic aerial triangulation still faces many challenges, including tie point extraction and sensor model refinement. The main purpose of this research is to develop and test new tie point extraction, sensor model refinement and bundle block adjustment methods for improving the automation and accuracy of aerial triangulation. The accuracy of tie points directly determines the success of aerial triangulation. Generally both the corner point and the gravity center point of a rectangular or circular object can be used as tie points, but the resulting outcomes can vary greatly in aerial triangulation. However, this difference has not drawn much attention from researchers yet. Thus, most of the tie point extraction algorithms only extract various corners. In order to quantify the difference between corner and center tie points for image registration, this research analyzed the error introduced by using corner or center tie points in different cases. Through quantitative analysis and experiments, the author reached the conclusion that the 'center' points, when used as tie points, can improve the accuracy of image registration by at least 40 percent over that for the 'corner' points. Extracting a large number of tie points is the prerequisite of automatic aerial triangulation. Interest point matching can extract tie points automatically. To date numerous interest point matching
The Environmental Photographic Interpretation Center (EPIC) is a field station of the Landscape Ecology Branch (LEB), Environmental Sciences Division - Las Vegas, Office of Research and Development EPIC provides remote sensing technical support to help the Agency achieve its mult...
Longhenry, R.; Sohre, T.; McKinney, R.; Mentele, T.
The United States Geological Survey (USGS) Earth Resources Observation Science (EROS) Center is home to one of the largest civilian collections of images of the Earth's surface. These images are collected from recent satellite platforms such as the Landsat, Terra, Aqua and Earth Observer-1, historical airborne systems such as digital cameras and side-looking radar, and digitized historical aerial photography dating to the 1930's. The aircraft scanners include instruments such as the Advanced Solid State Array Spectrometer (ASAS). Also archived at EROS are specialized collections of aerial images, such as high-resolution orthoimagery, extensive collections over Antarctica, and historical airborne campaigns such as the National Aerial Photography Program (NAPP) and the National High Altitude Photography (NHAP) collections. These collections, as well as digital map data, declassified historical space-based photography, and variety of collections such as the Global Land Survey 2000 (GLS2000) and the Shuttle Radar Topography Mission (SRTM) are accessible through the USGS Earth Explorer (EE) client. EE allows for the visual discovery and browse of diverse datasets simultaneously, permitting the co-discovery and selection refinement of both satellite and aircraft imagery. The client, in use for many years was redesigned in 2010 to support requirements for next generation Landsat Data Continuity Mission (LDCM) data access and distribution. The redesigned EE is now supported by standards-based, open source infrastructure. EE gives users the capability to search 189 datasets through one interface, including over 8.4 million frames of aerial imagery. Since April 2011, NASA datasets archived at the Land Processes Distributed Active Archive Center (LP DAAC) including the MODIS land data products and ASTER Level-1B data products over the U.S. and Territories were made available via the EE client enabling users to co-discover aerial data archived at the USGS EROS along with USGS
Precision agriculture management of nitrogen (N) using aerial imagery of corn [Zea mays L.] canopy color has been a proposed strategy to understand crop N health and base within-season N fertilizer application rates. The objective of this study was to evaluate at field scale the relationship between...
Wang, Shujie; Liu, Hongxing; Yu, Bailang; Zhou, Guoqing; Cheng, Xiao
The reconnaissance ARGON satellites collected the earliest images of Antarctica from space dating back to the 1960s, providing valuable historical baseline information for studying polar ice sheets. Those photographs are underutilized for ice motion mapping, due to lack of sufficient ground controls for image orthorectification. In this study, we orthorectified the ARGON photographs by fully exploiting the metric qualities of WorldView satellite images: very high spatial resolution and precise geolocation. Through a case study over Larsen Ice Shelf, we demonstrated that the camera model with bundle block adjustment can achieve geolocation accuracy of better than the nominal resolution (140 m) for orthorectifying ARGON images, with WorldView imagery as ground control source. This allowed us to extend the ice velocity records of Larsen Ice Shelf back into 1960s~1970s for the first time. The retrospective analysis revealed that acceleration of the collapsed Larsen B occurred much earlier than previously thought.
Beaumont, Benjamin; Bouvy, Alban; Stephenne, Nathalie; Mathoux, Pierre; Bastin, Jean-François; Baudot, Yves; Akkermans, Tom
Monitoring tropical forest carbon stocks changes has been a rising topic in the recent years as a result of REDD+ mechanisms negotiations. Such monitoring will be mandatory for each project/country willing to benefit from these financial incentives in the future. Aerial and satellite remote sensing technologies offer cost advantages in implementing large scale forest inventories. Despite the recent progress made in the use of airborne LiDAR for carbon stocks estimation, no widely operational and cost effective method has yet been delivered for central Africa forest monitoring. Within the Maï Ndombe region of Democratic Republic of Congo, the EO4REDD project develops a method combining satellite, aerial and ground measurements. This combination is done in three steps:  mapping and quantifying forest cover changes using an object-based semi-automatic change detection (deforestation and forest degradation) methodology based on very high resolution satellite imagery (RapidEye),  developing an allometric linear model for above ground biomass measurements based on dendrometric parameters (tree crown areas and heights) extracted from airborne stereoscopic image pairs and calibrated using ground measurements of individual trees on a data set of 18 one hectare plots and  relating these two products to assess carbon stocks changes at a regional scale. Given the high accuracies obtained in  (> 80% for deforestation and 77% for forest degradation) and the suitable, but still to be improved with a larger calibrating sample, model (R² of 0.7) obtained in , EO4REDD products can be seen as a valid and replicable option for carbon stocks monitoring in tropical forests. Further improvements are planned to strengthen the cost effectiveness value and the REDD+ suitability in the second phase of EO4REDD. This second phase will include [A] specific model developments per forest type; [B] measurements of afforestation, reforestation and natural regeneration processes and
Gialdini, M. J.
The production of a vegetation map of over 2.2 million acres with detail down to the plant community level, and the production of estimates of rangeland productivity (pounds of usable forage per acre for cattle) for a 500,000 acre subset of area with a design goal for accuracy and precision of + or - 20% at the 80% confidence level, are considered. The data consist of five groups: maps of area, LANDSAT data, digital terrain data, large scale aerial photography, and ground plots. An outline of the data acquisition and data reduction schemes are presented.
Fujita, T. T.; Wakimoto, R. M.
Preliminary results obtained from the JAWS (Joint Airport Weather Studies) Project near Denver, Colorado in the spring and summer of 1982 using Doppler radar, PAM, and aerial photography are presented. The definitions of the microburst phenomenon are discussed, and statistics comparing NIMROD (Northern Illinois Meteorological Research On Downbursts) for the Midwest region are compared with JAWS for the High Plains region. Possible parent clouds of the microburst are considered, and an analysis of a macroburst/microburst event on July 14, 1982 is presented.
In this thesis, the problem of three dimensional (3D) reconstruction of building models using photometric satellite and aerial images is investigated. Here, two systems are pre-sented: 1) 3D building reconstruction using a nadir single-view image, and 2) 3D building reconstruction using slant multiple-view aerial images. The first system detects building rooftops in orthogonal aerial/satellite images using a hierarchical segmentation algorithm and a shadow verification approach. The heights of detected buildings are then estimated using a fuzzy rule-based method, which measures the height of a building by comparing its predicted shadow region with the actual shadow evidence in the image. This system finally generated a KML (Keyhole Markup Language) file as the output, that contains 3D models of detected buildings. The second system uses the geolocation information of a scene containing a building of interest and uploads all slant-view images that contain this scene from an input image dataset. These images are then searched automatically to choose image pairs with different views of the scene (north, east, south and west) based on the geolocation and auxiliary data accompanying the input data (metadata that describes the acquisition parameters at the capture time). The camera parameters corresponding to these images are refined using a novel point matching algorithm. Next, the system independently reconstructs 3D flat surfaces that are visible in each view using an iterative algorithm. 3D surfaces generated for all views are combined, and redundant surfaces are removed to create a complete set of 3D surfaces. Finally, the combined 3D surfaces are connected together to generate a more complete 3D model. For the experimental results, both presented systems are evaluated quantitatively and qualitatively and different aspects of the two systems including accuracy, stability, and execution time are discussed.
Rodríguez-Martínez, Jesús; Richards, Ronald T.
The development potential of ground-water resources in the karst limestone of northwestern Puerto Rico, in an area extending from the Río Camuy to Aguadilla, is uncertain as a result of limited knowledge of the location of areas where a high density of cavities (interconnected fractures, conduits, and other dissolution features) might suggest the occurrence of high water yields. The presence in northwestern Puerto Rico of numerous coastal submarine springs, cavernous porosity in some of the wells, and rivers with entrenched and underground paths, indicate that it is probable that water-bearing, subterranean interconnected cavities occur in the area between the Río Camuy and Aguadilla. The number of exploratory wells needed to determine the location of these conduits or zones of enhanced secondary porosity could be substantially reduced if more information were available about the location of these subterranean features, greatly reducing the drilling costs associated with a trial-and-error exploratory process. A 3-year study was conducted by the U.S. Geological Survey, in cooperation with the Puerto Rico Aqueduct and Sewer Authority, to detect the presence of cavities that might suggest the occurrence of conduit-controlled groundwater flow. Aerial photographs, geologic and topographic maps, and field reconnaissance were used to identify such linear terrain features as ridges, entrenched canyons, and fracture traces. Natural potential and gravity geophysical methods were also used. The following sites were selected for the aerial photograph interpretation and geophysical testing: Caimital Bajo uplands and former Ramey Air Force Base in Aguadilla; Quebrada de los Cedros between Aguadilla and Isabela; the University of Puerto Rico Agricultural Experiment Station, Otilio dairy farm, and Pozo Brujo in Isabela; the Monte Encantado area in Moca and Isabela; and the Rio Camuy cave system in Hatillo and Camuy. In general, the degree of success varied with site and the
Snyder, N. P.; Schultz, L. L.
Precise measurement of stream morphology over entire watersheds is one of the great research opportunities provided by airborne laser swath mapping (ALSM). ALSM surveys allow for rapid quantification of factors, such as channel width and gradient, that control stream hydraulic and ecologic properties. We compare measurements from digital elevation models (DEMs) derived from ALSM data collected by the National Center for Airborne Laser Mapping (NCALM) to field surveys, traditional DEMs (rasterized from topographic maps), and aerial photographs. The field site is in the northern Black Mountains in arid Death Valley National Park (California). The area is unvegetated, and therefore is excellent for testing DEM analysis methods because the ALSM data required minimal filtering, and the resulting DEM contains relatively few unphysical sinks. Algorithms contained in geographic information systems (GIS) software used to extract stream networks from DEMs yield best results where streams are steep enough for resolvable pixel-to-pixel elevation change, and channel width is on the order of pixel resolution. This presents a new challenge with ALSM-derived DEMs because the pixel size (1 m) is often an order of magnitude or more smaller than channel width. We find the longitudinal profile of Gower Gulch in the northern Black Mountains (~4 km total length) extracted using the ALSM DEM and a flow accumulation algorithm is 14% longer than a traditional 10-m DEM, and 13% longer than a field survey. These differences in length (and therefore gradient) are due to the computed channel path following small-scale topographic variations within the channel bottom that are not relevant during high flows. However, visual analysis of shaded-relief images created from high-resolution ALSM data is an excellent method for digitizing channel banks and thalweg paths. We used these lines to measure distance, elevation, and width. In Gower Gulch, the algorithm-derived profile is 10% longer than that
U.S. Geological Survey
The Aerial Photography Summary Record System (APSRS) describes aerial photography projects that meet specified criteria over a given geographic area of the United States and its territories. Aerial photographs are an important tool in cartography and a number of other professions. Land use planners, real estate developers, lawyers, environmental specialists, and many other professionals rely on detailed and timely aerial photographs. Until 1975, there was no systematic approach to locate an aerial photograph, or series of photographs, quickly and easily. In that year, the U.S. Geological Survey (USGS) inaugurated the APSRS, which has become a standard reference for users of aerial photographs.
Bressette, W. E.
A photographic flight was made over the James River on May 17, 1977. The data show that, in general, James River water has very high sunlight reflectance. In the Bailey Bay area this reflectance is drastically reduced. Also shown is a technique for normalizing off-axis variations in radiance film exposure from camera falloff and uneven sunlight conditions to the nadir value. After data normalization, a spectral analysis is performed that identifies Bailey Creek water in James River water. The spectral results when compared with laboratory spectrometer data indicate that reflectance from James River water is dominated by suspended matter, while the substance most likely responsible for reduced reflectance in Bailey Creek water is dissolved organic carbon.
Snags are an important component of forest ecosystems because of their utility in forest-nutrient cycling and provision of critical wildlife habitat, as well as associated fuel management concerns relating to coarse woody debris (CWD). Knowledge of snag and CWD trajectories are needed for land managers to plan for long-term ecosystem change in post-fire regimes. This need will likely be exacerbated by increasingly warm and dry climatic conditions projected for the U.S. Southwest. One of the best prospects for studying fire-induced landscape change beyond the plot scale, but still at a resolution sufficient to resolve individual snags, is to utilize the available aerial photography record. Previous field-based studies of snag and CWD loads in the Southwest have relied on regional chronosequences to judge the recovery dynamic of ponderosa pine (Pinus ponderosa) burns. This previous research has been spatially and temporally restricted because of field survey extent limitations and uncertainty associated with the chronosequence approach (i.e., space-for-time substitution), which does not consider differences between specific site conditions and histories. This study develops highly automated methods for remotely quantifying and characterizing the spatial and temporal distribution of large snags associated with severe forest fires from very high resolution (VHR) landscape imagery I obtained from scans of aerial photos. Associated algorithms utilize the sharp edges, shape, shadow, and contrast characteristics of snags to enable feature recognition. Additionally, using snag shadow length, image acquisition time, and location information, heights were estimated for each identified snag. Furthermore, a novel solution was developed for extracting individual snags from areas of high snag density by overlaying parallel lines in the direction of the snag shadows and extracting local maxima lines contained by each snag polygon. Field survey data coincident to imagery coverage
Sowmya, Arcot; Trinder, John
New digital systems for the processing of photogrammetric and remote sensing images have led to new approaches to information extraction for mapping and Geographic Information System (GIS) applications, with the expectation that data can become more readily available at a lower cost and with greater currency. Demands for mapping and GIS data are increasing as well for environmental assessment and monitoring. Hence, researchers from the fields of photogrammetry and remote sensing, as well as computer vision and artificial intelligence, are bringing together their particular skills for automating these tasks of information extraction. The paper will review some of the approaches used in knowledge representation and modelling for machine vision, and give examples of their applications in research for image understanding of aerial and satellite imagery.
Aerial Photographic Interpretation is a timed-tested technique for extracting landscape- level information from aerial photographs and other types of remotely sensed images. The U.S. Environmental Protection Agency's Environmental Photographic Interpretation Center (EPIC) has a 2...
Michalowska, K.; Glowienka, E.; Pekala, A.
Digital photogrammetry and remote sensing solutions applied under the project and combined with the geographical information system made it possible to utilize data originating from various sources and dating back to different periods. Research works made use of archival and up-to-date aerial images, satellite images, orthophotomaps. Multitemporal data served for mapping and monitoring intermediate conditions of the Baltic Sea shore zone without a need for a direct interference in the environment. The main objective of research was to determine the dynamics and volume of sea shore changes along the selected part of coast in the period of 1951-2004, and to assess the tendencies of shore development in that area. For each of the six annual data sets, the following were determined: front dune base line, water line and the beach width. The location of the dune base line, which reflects the course of the shoreline in a given year was reconstructed based on stereoscopic study of images from each annual set. Unidirectional changes in the period of 1951-2004 occurred only within 10% of the examined shore section length. The examined shore is marked by a high and considerable dynamics of changes. Almost half of the shore, in particular the middle coast shows big changes, in excess of 2 m/year. The limits of shoreline changes ranged from 120 to -90 m, and their velocity from 0 to 11 m/year, save that the middle and west parts of the examined coast section were subjected to definitely more intense shore transformations. Research based on the analysis of multitemporal aerial images made it possible to reconstruct the intermediate conditions of the Baltic Sea shoreline and determine the volume and rate of changes in the location of dune base line in the examined period of 53 years, and to find out tendencies of shore development and dynamics.
Morgan, Karen L.M.
The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On October 7–9, 2015, the USGS conducted an oblique aerial photographic survey of the coast from the South Carolina/North Carolina border to Montauk Point, New York (fig. 1), aboard a Cessna 182 (aircraft) at an altitude of 500 feet (ft) and approximately 1,200 ft offshore fig. 2. This mission was conducted to collect post-Hurricane Joaquin data for assessing incremental changes in the beach and nearshore area since the last surveys, mission flown in September 2014 (Virginia to New York: Morgan, 2015), November 2012 (northern North Carolina: Morgan and others, 2014) and May 2008 (southern North Carolina: unpublished report), and the data can be used to assess of future coastal change.The photographs in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file
Morgan, Karen L. M.; Karen A. Westphal
The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 2-3, 2012, the USGS conducted an oblique aerial photographic survey along the Alabama, Mississippi, and Louisiana barrier islands aboard a Cessna 172 (aircraft) at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect post-Hurricane Isaac data for assessing incremental changes in the beach and nearshore area since the last survey, flown in September 2008 (central Louisiana barrier islands) and June 2011 (Dauphin Island, Alabama, to Breton Island, Louisiana), and the data can be used in the assessment of future coastal change.The photographs provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on
Morgan, Karen L. M.; Krohn, M. Dennis; Guy, Kristy K.
The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 14-15, 2008, the USGS conducted an oblique aerial photographic survey along the Alabama, Mississippi, and Louisiana barrier islands and the north Texas coast, aboard a Beechcraft Super King Air 200 (aircraft) at an altitude of 500 feet (ft) and approximately 1,200 ft offshore. This mission was flown to collect post-Hurricane Ike data for assessing incremental changes in the beach and nearshore area since the last survey, flown on September 9-10, 2008, and the data can be used in the assessment of future coastal change.The photographs provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail
Pavelka, Karel; Faltynova, Martina; Bila, Zdenka
The Middle Europe such as next world cultural centres are inhabited by humans tens of thousands years. In the last ten years, new methods are implemented in archaeology. It means new sensitive geophysical methods, very high resolution remote sensing and Airborne Laser Scanning (ALS). This contribution will refer about new technological possibilities for archaeology in the Czech Republic to two project examples. VHR satellite data or aerial image data can be used for searching of potential archaeological sites. In some cases, orthophoto mosaic is very useful; nowadays, different aerial orthophotomosaic layers are available in the Czech Republic (2002-3, 2006 and 2009) with pixel resolution 25cm. The archaeological findings are best visible in the Czech Republic by their vegetation indices. For this reason, the best time for data acquiring is mid of spring, in rapid vegetation process. Another option is the soil indices - the best time is early spring or autumn, after crop. A new progressive method is ALS, which can be used for spatial indices. Since autumn 2009 the entire area of the Czech Republic is mapped by technology of ALS. The aim of mapping is to get authentic and detailed digital terrain model (DTM) of the Czech Republic. About 80% (autumn 2012) of the Czech territory is currently covered by the DTM based on ALS. The standard deviation of model points in altitude is better than 20cm. The DTM displayed in appropriate form (as shaded surface) can be used as a data source for searching and description of archaeological sites - mainly in forested areas. By using of above mentioned methods a lot of interesting historical sites were discovered. The logical next step is a verification of these findings by using terrestrial methods - in this case by using of geophysical instruments. At the CTU Prague, the walking gradiometer GSM-19 and georadar SIR-3000 are at disposal. In first example the former fortification from Prussia - Austrian was localized on orthophoto
Morgan, Karen L.M.; Krohn, M. Dennis; Peterson, Russell D.; Thompson, Philip R.; Subino, Janice A.
Table 1 provides detailed information about the GPS location, image name, date, and time for each of the 3,381 photographs taken, along with links to each photograph. The photographs are organized into segments, also referred to as contact sheets, and represent approximately 5 minutes of flight time. In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided, which can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.
Change Detection using 75-year Aerial Photo and Satellite Data Sets, Inexpensive Means to Obtain 6 cm Resolution Data, and Developing Opportunities for Community-oriented Remote Sensing through Photography
Rango, A.; Laliberte, A.; Winters, C.; Steele, C. M.; Browning, D. M.
Some governmental research sites have been in existence for as many as 100 years with ground photography used for documentation starting in the early 1900s(e.g., at the USDA Jornada Experimental Range(JER)(783 km2) in south central New Mexico) If ground photography is properly documented when acquired, it can be used as a baseline for later re-photography assessments of change or for providing historical perspective. The JER historical ground photographic data base contains 3148 scenes and is available from a number of photographic archives. For long-term change detection, earth resources satellites (starting in 1972) have been valuable, but their usefulness can be enhanced when combined with data from vertical aerial photography programs begun in the mid 1930s by USDA (and other agency/aerial photo contractors). This historic aerial photography is generally an untapped data resource. Most of these aerial photos have approximately 1-2 m spatial resolution but are scattered in numerous archives around the United States. For the JER, we have been able to locate and obtain 5500 individual aerial photos which have been indispensable in evaluating vegetation change, locating treatment legacies on the landscape, and assessing rangeland treatment effectiveness. All the acquired aerial photos have been digitized and stored in the JER data base. We have also been exploring the use of small Unmanned Aerial Vehicles (UAVs) to provide hyperspatial aerial photos at about 6 cm spatial resolution to complement the 1-2 m resolution aerial photos. The areas covered by these individual UAV photos are only about 215 x 160 m, so in order to cover larger areas we have had to develop our own methods for mosaicing and analysis. In four years of flying the UAV, we have obtained about 15,000 images over JER and other western rangelands. This method is very cost effective because we are able to use an inexpensive 10 megapixel consumer-grade digital camera on the UAV as opposed to more
Guyassa, Etefa; Frankl, Amaury; Zenebe, Amanuel; Lanckriet, Sil; Demissie, Biadgilgn; Zenebe, Gebreyohanis; Poesen, Jean; Nyssen, Jan
In the Highlands of Northern Ethiopia, land degradation is claimed to have occurred over a long time mainly due agricultural practices and lack of land management. However, quantitative information on the long term land use, cover and management change is rare. The knowledge of such historical changes is essential for the present and future land management for sustainable development, especially in an agriculture-based economy. Hence, this study aimed to investigate the changes of land use, cover and management around Hagere Selam, Northern Ethiopia, over the last 80 years (1935 - 2014). We recovered a flight of ten aerial photographs at an approximate scale of 1:11,500, realized by the Italian Military Geographical Institute in 1935, along a mountain ridge between 13.6490°N, 39.1848°E and 13.6785°N, 39.2658°E. Jointly with Google Earth images (2014), the historical aerial photographs were used to compare changes over the long time. The point-count technique was used by overlaying a grid of 18 x 15 points (small squares) on 20 cm x 15 cm aerial photographs and on Google Earth images representing the same area. Occurrence of major land cover types (cropland, forest, grassland, shrubland, bare land, built-up areas and water body) was counted to compute their proportion in 1935 and 2014. In 1935, cropland, shrubland and built-up areas were predominant while other land cover types were not observed. On the Google Earth images, all categories were observed except forest. The results show that in both times cropland was the dominant land cover followed by shrubland. The proportion of cropland at present (70.5%) is approximately the same as in the 1930s (72%), but shrubland decreased and bare land, grassland and built-up areas have increased. Hence, the large share of cropland was maintained over the past long period without allowing for woody vegetation to expand its area, while some cropland was abandoned and converted to grassland and bare land. The increased
Williams, R.S., Jr.; Lyons, T.R.; Ferrigno, J.G.; Quinn, M.C.
Discusses the programme on reproducing the 1930's and early 1940's nitrate aerial photographs of large areas of the US onto stable-base safety film, and the proceedings of a February 1981 meeting at the National Archives and Records Service, General Services Administration, which discussed the programme and inspected the results of the new full-size (1:1), roll-to-roll conversions. The latter process was found to be acceptable to all current and envisaged future users of this photography.-R.House
Villa, G.; Mas, S.; Fernández-Villarino, X.; Martínez-Luceño, J.; Ojeda, J. C.; Pérez-Martín, B.; Tejeiro, J. A.; García-González, C.; López-Romero, E.; Soteres, C.
Usual workflows for production, archiving, dissemination and use of Earth observation images (both aerial and from remote sensing satellites) pose big interoperability problems, as for example: non-alignment of pixels at the different levels of the pyramids that makes it impossible to overlay, compare and mosaic different orthoimages, without resampling them and the need to apply multiple resamplings and compression-decompression cycles. These problems cause great inefficiencies in production, dissemination through web services and processing in "Big Data" environments. Most of them can be avoided, or at least greatly reduced, with the use of a common "nested grid" for mutiresolution production, archiving, dissemination and exploitation of orthoimagery, digital elevation models and other raster data. "Nested grids" are space allocation schemas that organize image footprints, pixel sizes and pixel positions at all pyramid levels, in order to achieve coherent and consistent multiresolution coverage of a whole working area. A "nested grid" must be complemented by an appropriate "tiling schema", ideally based on the "quad-tree" concept. In the last years a "de facto standard" grid and Tiling Schema has emerged and has been adopted by virtually all major geospatial data providers. It has also been adopted by OGC in its "WMTS Simple Profile" standard. In this paper we explain how the adequate use of this tiling schema as common nested grid for orthoimagery, DEMs and other types of raster data constitutes the most practical solution to most of the interoperability problems of these types of data.
Malfitana, Daniele; Shehi, Eduard; Masini, Nicola; Scardozzi, Giuseppe
The paper presents the preliminary results of an integrated multidiscipliary research project concerning the urban area of the modern Durres (ancient Dyrrachium). Here a joint Italian and Albanian researcher are starting preliminary investigations on the place of an ancient roman villa placed in the urban centre of the modern town. In a initial phase are offering interesting results the use of a rich multitemporal remote sensing data-set, historical aerial photos of 1920s and 1930s, photos of USA spy satellites of 1960s and 1970s (Corona KH-4A and KH-4B), and very high resolution satellite imagery. The historical aerial documentation is very rich and includes aerial photogrammetrich flights of two Italian Institutions: the private company SARA - Società Anonima Rilevamenti Aerofotogrammetrici in Rome (1928) and the IGM - Istituto Geografico Militare (1936, 1937 e 1941), which flew on Durres for purposes of cartographic production and military. These photos offer an image of the city before the urban expansion after the Second World War and in recent decades, progressively documented by satellite images of the 1960s-1970s and recent years. They enable a reconstruction of the ancient topography of the urban area, even with the possibility of detailed analysis, as in the case of the the Roman villa, nowadays buried under a modern garden, but also investigated with a GPR survey, in order to rebuild its plan and contextualize the villa in relation to the urban area of the ancient Dyrrachium.
Skalos, Jan; Engstová, Barbora
The objective of this study was to test a method for analysing long-term structural changes in non-forest wood elements, using a newly developed classification system and relevant landscape characteristics. Although these non-forest wood elements are biotopes that have positive effects for the ecological stability of the landscape little is known about their long-term dynamics. The newly developed knowledge of the historical impact of various landscape management practices on non-forest wood elements can be applied in landscape planning procedures (e.g. planning ecological networks) in order to ensure relevant landscape management in the future. The method was applied in two contrasting study sites, Honbice (244 ha) and Krida (268 ha), located in east Bohemia and north Bohemia, in the Czech Republic. The study was based on old cadastral maps (from 1839 to 1843), black and white aerial photographs (from 1938, 1950, 1966, 1975 to 2006) and field control data from 2006. At the Honbice study site, the proportion of non-forest wood elements increased from 2.0 to 2.9% of the study site, due to large plantations of scattered vegetation in the open landscape. On the other hand, more than half of the wood vegetation in the village was cut down between 1966 and 2006. In addition, the relative length of the tree alleys decreased from 0.021 km ha(-1) to 0.018 km ha(-1) between 1950 and 1966. At the Krida study site, there was a significant increase in non-forest vegetation (from 2.4 to 8.2%), due to abandonment of the landscape (former military area). As the village disappeared, the total amount of scattered vegetation grew, due to the natural succession process. The relative length of the tree alleys decreased from 0.009 km ha(-1) to 0.005 km ha(-1). The method that was applied and based on the analysis of long-term structural changes in non-forest wood elements, using a (newly developed) classification system and relevant landscape characteristics has proved to be a suitable
Lissauer, I.M.; Baird, D.A.
During the summers of 1979 and 1980 aerial photographs of the land fast ice north of Prudhoe Bay, Alaska, were taken. These photographs, covering two-week periods, highlight the decay and break-up of the land fast ice sheet. During the period of photography, wind speed, wind direction, barometric pressure, and tidal height measurements were recorded continuously. Several larger ice floes were 'tagged' with colored plywood markers during 1979. Both these marked flows and other distinctively shaped floes were tracked on the photographic surveys to determine the effect the wind had on their movement. Within the barrier islands, average ice floe velocities as a percentage of wind speed exceeded the 3.5% figure 'normally' found in the literature. North of these islands average ice floe velocities as a percentage of wind speed were less than the 3.5% value. In addition to the flow drift calculations the photographs provide information on melt pool formation and a comparison of the decay and breakup processes between the 1979 and 1980 seasons. The decay and breakup process appears to be triggered by strong wind events in early July.
Hayas, Antonio; Giráldez, Juan V.; Laguna, Ana; Peña, Peña; Vanwalleghem, Tom
Gully erosion is widely recognized as an important erosion process and source of sediment, especially in Mediterranean basins. Recent advances in monitoring techniques, such as ground-based LiDAR, drone-bounded cameras or photoreconstruction, allow quantifying gully erosion rates with unprecedented accuracy. However, many studies only focus on gully growth during a short period. In agricultural areas, farmers frequently erase gullies artificially. Over longer time scales, this results in an important dynamic of gully growth and infilling. Also, given the significant temporal variability of precipitation, land use and the proper gully erosion processes, gully growth is non-linear over time. This study therefore aims at analyzing gully morphodynamics over a long time scale (1957-2011) in a large catchment in order to quantify gully erosion processes and its contribution to overall sediment dynamics. The 20 km2 study area is located in SW Spain. The extension of the gully network was digitized by photographic interpretation based on aerial photographs from 1957, 1981, 1985, 1999, 2002, 2005, 2007, 2009 and 2011. Gully width was measured at representative control points for each of these years. During this period, the dominant land use changed considerably from herbaceous crops to olive orchards. A field campaign was conducted in 2014 to measure current gully width and depth. Total gully volume and uncertainty was determined by Monte Carlo-based simulations of gully cross-sectional area for unmeasured sections. The extension of the gully network both increased and decreased in the study period. Gully density varied between 1.93 km km-2 in 1957, with a minimum of 1.37 km km-2 in 1981 and a maximum of 5.40 km km-2 in 2011. Gully width estimated in selected points from the orthophotos range between 0.9 m and 59.2 m, and showed a good lognormal fit. Field campaigns results in a collection of cross-section measures with gullies widths between 1.87 and 28.5 m and depths from
Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction due to its ability to detect crop growth conditions on spatial and temporal scales in a cost effective manner. Many empirical relationships have been established in the past between spectral vegetation indices and leaf area index, fractional ground cover, and crop growth rates for different crops through ground sampling. Remote sensing-based vegetation index (VI) yield models using airborne and satellite data have been developed only for grain crops like barley, corn, wheat, and sorghum. So it becomes important to validate and extend the VI-based model for tuber crops like potato, taking into account the most significant parameters that affect the final crop yield of these crops. This research involved developing and validating yield models for potato crop in southern Idaho fields using high-resolution airborne and satellite remote sensing. High-resolution multispectral airborne imagery acquired on three dates throughout the growing season in 2004 was used to develop a VI-based statistical yield model by integrating the area under the Soil Adjusted Vegetation Index (SAVI) curve. The model was developed using hand-dug samples collected in two center pivots based on soil variability and crop growth patterns to account for variability in the leaf area duration and yields. The three-date Integrated SAVI (ISAVI) model developed was then validated using 2005 spot yield samples collected from two center pivot fields and also tested for 2004 and 2005 whole field data over dozens of center pivot fields. The three- date model was applied using 2004 and 2005 satellite images and tested. The eight-date ISAVI yield model was also extended to satellite images to estimate the potato yield. The overall yield estimation using the eight-date ISAVI model was better than the three-date model as the image inputs covered the complete growth cycle of the crop from emergence to harvest. Actual
Morgan, Karen L. M.
In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then the thumbnail or the link below the thumbnail. The KML file was created using the photographic navigation files. This KML file can be found in the kml folder.
Morgan, Karen L. M.
In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.
37. Photographic copy of photograph, James K. Corrigan, Photographer, 1987, (original print in Cooper-Howard Counties Job no. J5P0257 Project File, Cultural Resources Section, Design Division, Missouri Highway and Transportation Department, Jefferson City). Pennsylvania spans, aerial view to the southwest - Boonville Bridge, Spanning Missouri River at U.S. Route 40 & State Routes 5 & 87, Boonville, Cooper County, MO
34. Photographic copy of photograph, James K. Corrigan, Photographer, 1987, (original print in Cooper-Howard Counties Job no. J5P0257 Project File, Cultural Resources Section, Design Division, Missouri Highway and Transportation Department, Jefferson City). Aerial view to the northeast - Boonville Bridge, Spanning Missouri River at U.S. Route 40 & State Routes 5 & 87, Boonville, Cooper County, MO
36. Photographic copy of photograph, James K. Corrigan, Photographer, 1987, (original print in Cooper-Howard Counties Job no. J5P0257 Project File, Cultural Resources Section, Design Division, Missouri Highway and Transportation Department, Jefferson City). Aerial view to the southwest - Boonville Bridge, Spanning Missouri River at U.S. Route 40 & State Routes 5 & 87, Boonville, Cooper County, MO
35. Photographic copy of photograph, James K. Corrigan, Photographer, 1987, (original print in Cooper-Howard Counties Job no. J5P0257 Project File, Cultural Resources Section, Design Division, Missouri Highway and Transportation Department, Jefferson City). Aerial view to the southeast - Boonville Bridge, Spanning Missouri River at U.S. Route 40 & State Routes 5 & 87, Boonville, Cooper County, MO
38. Photographic copy of photograph, James K. Corrigan, Photographer, 1987, (original print in Cooper-Howard Counties Job no. J5P0257 Project File, Cultural Resources Section, Design Division, Missouri Highway and Transportation Department, Jefferson City). Parker spans, aerial view to the northwest - Boonville Bridge, Spanning Missouri River at U.S. Route 40 & State Routes 5 & 87, Boonville, Cooper County, MO
33. Photographic copy of photograph, James K. Corrigan, Photographer, 1987, (original print in Cooper-Howard Counties Job no. J5P0257 Project File, Cultural Resources Section, Design Division, Missouri Highway and Transportation Department, Jefferson City). Aerial view to the northwest - Boonville Bridge, Spanning Missouri River at U.S. Route 40 & State Routes 5 & 87, Boonville, Cooper County, MO
Magnússon, E.; Muñoz-Cobo Belart, J.; Pálsson, F.; Ágústsson, H.; Crochet, P.
In this paper we describe how recent high-resolution digital elevation models (DEMs) can be used to extract glacier surface DEMs from old aerial photographs and to evaluate the uncertainty of the mass balance record derived from the DEMs. We present a case study for Drangajökull ice cap, NW Iceland. This ice cap covered an area of 144 km2 when it was surveyed with airborne lidar in 2011. Aerial photographs spanning all or most of the ice cap are available from survey flights in 1946, 1960, 1975, 1985, 1994 and 2005. All ground control points used to constrain the orientation of the aerial photographs were obtained from the high-resolution lidar DEM. The lidar DEM was also used to estimate errors of the extracted photogrammetric DEMs in ice- and snow-free areas, at nunataks and outside the glacier margin. The derived errors of each DEM were used to constrain a spherical semivariogram model, which along with the derived errors in ice- and snow-free areas were used as inputs into 1000 sequential Gaussian simulations (SGSims). The simulations were used to estimate the possible bias in the entire glaciated part of the DEM and the 95 % confidence level of this bias. This results in bias correction varying in magnitude between 0.03 m (in 1975) and 1.66 m (in 1946) and uncertainty values between ±0.21 m (in 2005) and ±1.58 m (in 1946). Error estimation methods based on more simple proxies would typically yield 2-4 times larger error estimates. The aerial photographs used were acquired between late June and early October. An additional seasonal bias correction was therefore estimated using a degree-day model to obtain the volume change between the start of 2 glaciological years (1 October). This correction was largest for the 1960 DEM, corresponding to an average elevation change of -3.5 m or approx. three-quarters of the volume change between the 1960 and the 1975 DEMs. The total uncertainty of the derived mass balance record is dominated by uncertainty in the volume
Jones, J.; Dale, P. E. R.; Chandica, A. L.; Breitfuss, M. J.
Runnelling, a method of habitat modification used for mosquito management in intertidal saltmarshes in Australia, alters marsh hydrology. The objective of this research was to assess if runnelling had affected the distribution of the grey mangrove ( Avicennia marina (Forsk.)) at a study site in southeast Queensland. Since runnelling is carried out in diverse marshes a second aim was to assess differences in mangrove colonisation in the two main saltmarsh species in the area. These are marine couch [ Sporobolus virginicus (L.) Kunth.] and samphire [ Sarcocornia quinqueflora (Bunge ex Ung.-Stern.)]. Runnels at the study site were in an area dominated by Sporobolus. The mangrove area was measured by classifying digital color infrared (CIR) data obtained from aerial photographs acquired in 1982, which was 3 years before runnelling, and in 1987, 1991 and 1999, 2-14 years after. Changes in the spatial extent of A. marina were identified using difference images produced from post-classification change detection. The results showed that runnels did not significantly influence the distribution of A. marina at the study site. At a more detailed level differences in A. marina establishment in the Sporobolus and Sarcocornia areas were determined from counts of trees on the aerial photographs. There was a greater proportion of mangroves in Sarcocornia than Sporobolus and this increased over time. This may be related to differences in density between the plant species, to grapsid crab activity or to other edaphic conditions. There may be implications for runnelling in Sarcocornia marshes. The large increase observed in A. marina in the area generally is likely to be related to factors such as catchment modification or tidal/sea-level changes. It is concluded that runnelling has not led to mangrove establishment in the Sporobolus dominated saltmarsh.
El-awawdeh, R.T.; Full, W.E.
The study area includes fifty-one keys (islands) located in the north-central portion of the Florida Bay, south of the Everglades coastline and the coastline itself using aerial photography. These keys consisted of Quaternary unconsolidated fine-grained, calcareous mud overlaying Pleistocene rocks of the Miami Limestone. This region is sensitive to environmental changes caused by variations in the amount of fresh water flushing through the Everglades, by human influences such as channel dredging, and by strong storms. The primary purpose of this study is to identify and quantify morphologic changes in the keys and along the coastline over the last fifty to sixty years and to relate theses changes to the aforementioned processes. Well defined key-shape changes were found and quantified using aerial photographs of Deer, Cluett and Pelican Keys. These changes defined using three different shape analysis methods: Fourier two-dimensional shape analysis, Fractals in closed form, and the Zahn-Roskies algorithm in closed form. For the coastlines, Fractals in open form and the Zahn-Roskies in open form quantified shape differences. The observed changes were likely related to changes in sediment deposition throughout the bay due caused by environmental changes related to alterations of the bay`s natural drainage by artificial channel formation and storm deposition. The coastline remained essentially the same except for some minor changes around Alligator Bay attributed to mangrove expansion and sediment buildup due to storms. 19 refs., 5 figs.
21. Photocopy of photograph (from Hugh Ackroyd photograph, Study for POP Drydock Passage, 1978, Burlington Northern correspondence files) AERIAL VIEW FROM SOUTHWEST - Burlington Northern Railroad Bridge, Spanning Willamette River at River Mile 6.9, Portland, Multnomah County, OR
Kicherer, Stefan; Malpica, Jose A.; Alonso, Maria C.
In this paper, an interactive technique for extracting cartographic features from aerial and spatial images is presented. The method is essentially an interactive method of image region segmentation based on pixel grey level and texture information. The underlying segmentation method is seeded region growing. The criterion for growing regions is based on both texture and grey level, where texture is quantified using co-occurrence matrices. The Kullback distance is utilised with co-occurrence matrices in order to describe the image texture, then the Theory of Evidence is applied to merge the information coming from texture and grey level image from the RGB bands. Several results from aerial and spatial images that support the technique are presented
49. Photocopy of photograph, dated August 12, 1987, photograph by Tony Cammarata, Boston Photographers. Original photograph property of the U.S. Coast Guard. AERIAL VIEW OF PORT SIDE WHILE UNDERWAY. - U.S. Coast Guard Cutter WHITE LUPINE, U.S. Coast Guard Station Rockland, east end of Tillson Avenue, Rockland, Knox County, ME
50. Photocopy of photograph, dated August 11, 1987, photograph by Tony Cammarata, Boston Photographers. Original photograph property of the U.S. Coast Guard. AERIAL VIEW OF STARBOARD BOW WHILE UNDERWAY. - U.S. Coast Guard Cutter WHITE HEATH, USGS Integrated Support Command Boston, 427 Commercial Street, Boston, Suffolk County, MA
Anderson, William H.
Considerable interest has developed recently in the use of aerial photographs for agricultural management. Even the simplest hand-held aerial photographs, especially those taken with color infrared film, often provide information not ordinarily available through routine ground observation. When fields are viewed from above, patterns and variations become more apparent, often allowing problems to be spotted which otherwise may go undetected.
Aerial photographic interpretation is the process of examining objects on aerial photographs and determining their significance. t is often defined as both art and science because the process, and the quality of the derived information, is often a qualitative nature and much depe...
Fram, J. R.; Deutsch, E. S.
A technique for the quantitative evaluation of edge detection schemes is presented. It is used to assess the performance of three such schemes using a specially-generated set of images containing noise. The ability of human subjects to distinguish the edges in the presence of noise is also measured and compared with that of the edge detection schemes. The edge detection schemes are used on a high-resolution satellite photograph with varying degrees of noise added in order to relate the quantitative comparison to real-life imagery.
Two of the fundamental issues in water resources in arid regions are (1) the ability to accurately predict the presence of groundwater shallow enough to support riparian ecosystems and (2) the ability to assess the vulnerability of those ecosystems to withdrawals by an ever-increasing human population. A new technique for finding areas of shallow groundwater in arid and semi-arid environments has been developed that addresses both of these concerns by using the relative health of natural vegetation as an indicator of perennial shallow groundwater in environments where water is the main biolimiting factor to growth. The technique revolves around the differences in the spectral response between: actively transpiring vegetation; dormant vegetation; and dry, bare soil in the 400-900nm range as recorded by color infrared film in the dry pre-monsoon months. Distilling out only the active vegetation from aerial photographs was achieved through the creation of an index-based filter using readily available, inexpensive photo processing software. The output of the filter was carefully designed to maximize the qualitative interpretability by an analyst through the careful selection of display colors that are tuned to the maximum sensitivity range of the human vision system. When the analyst combines the qualitative interpretation of the spatial distribution of active vegetation with an understanding of the rooting depth of the native species it becomes possible to extrapolate a quantitative, basin-scale reconnaissance level map which defines the lateral extent of areas of shallow <20m(+/-5m) groundwater with a spatial accuracy of just a few meters. The research plan for the development of this technique also explored the potential for conducting the entire analysis procedure in three dimensions by projecting the filtered aerial photographs onto 10m resolution Digital Elevation Models (DEMs). When this is done and the geomorphology of the region is carefully considered the
Isaacson, Sivan; Blumberg, Dan G.; Rachmilevitch, Shimon; Ephrath, Jhonathan E.
Hyper-arid zones are characterized by highly sparse vegetation cover. Monitoring vegetation dynamics in hyper-arid zones is important because any reduction in the vegetation cover in these areas can lead to a considerable reduction in the carrying capacity of the ecological system. Remote sensing expands the spatial and temporal database and is thus a powerful tool for long-term monitoring in arid zones, where access is limited and long-term ground data are rarely available. The main goal of this research was to study both the long-term and short-term spatial processes affecting the acacia population, by using information from a single, three bands color infrared (CIR) aerial photograph (green, red and near infrared). CIR images enable us to obtain information about photosynthetically active biomass by using vegetation indices such as NDVI. A map of individual acacia trees that was extracted from a CIR aerial photograph of Wadi Ktora allowed us to examine the distribution pattern of the trees size and foliage health status (NDVI). Tree size distribution was used as an indicator of long-term (decades) geo-hydrologic spatial processes effecting the acacia population. The tree health status distribution was used as an indicator for short-term (months to a few years) geo-hydrologic spatial processes, such as the paths of recent flashfloods events. Comparison of the tree size distribution and NDVI values distribution enabled us to differentiate between long-term and short-term processes that brought the population to its present state. The spatial analysis revealed that both the tree size and NDVI distribution patterns were significantly clustered, suggesting that the processes responsible for tree size and tree health status do have a spatial expression. Furthermore, each of the attributes has a different distribution and unique clustering location. We suggest that the lack of spatial correlation between tree size and health status is a result of spatial
Lallias-Tacon, S.; Liébault, F.; Piégay, H.; Leduc, P.
The recent development of innovative topographic survey technologies offers new opportunities for investigating spatial and temporal patterns of gravel-bed rivers morphological responses to flood events. In this study, multidate airborne LiDAR surveys were used to reconstruct reach-scale morphological changes of a gravel-bed braided river following a channel-forming flood event. LiDAR surveys were acquired in October 2008 and June 2010 for a 7-km reach of the Bès River, a very active aggrading braided channel, which is a tributary to the Bléone River in the Southern French Prealps (drainage area: 234 km2). Between these two dates, a 15-year flood occurred in December 2009, with a peakflow discharge of 171 m3 s-1. A DEM of difference (DoD) was produced by subtraction of LiDAR-derived DTM pair. Spatially distributed error in Dod was accounted with dGPS field measurement by sampling of different types of terrains (exposed gravel bars, spares and dense vegetated areas). The scour and fill maps allowed reconstructing erosion and deposition of bedforms and provide a volume estimate for calculating a sediment budget. These bedforms were described by different factors like their geometry (width, shape), their position and elevation relative to the main low-flow channel and their vegetation cover. Bed morphology was also studied by extracting different metrics at regularly-spaced cross-sections to infer information about sediment transfer in the braided channel. Final aim is to link bedform characteristics with their morphological response. Morphological changes were also studied in a historical context with a series of aerial photographs (1948-2010) to link the present-day morphology of the river with longer term channel changes. Active channel and island area were measured at reach and sub-reach scales (50 m), as well as active channel and island widths for cross-sections (every 10 m along). These variables were coupled with landscape changes and hydrological events in
Vaudour, Emmanuelle; Leclercq, Léa; Gilliot, Jean-Marc; Chaignon, Benoît
In order to elaborate adequate and sustainable practices while better controlling harvest composition at farm scale, the detailed spatial assessment of terroir units is needed. Although such assessment is made in the present time, it reflects vine behaviour and soil quality according to cumulated past choices in vineyard management. in addition to demarcate homogeneous within-vineyard zones, there is a need, in cases where the winegrower starts up its activities, to retrace the behaviour of these zones in the past, so as to consolidate the diagnosis of vine fertility, and determine further adoption of new soil and vineyard management practices that are likely to favour a long-term preservation of quality production together with soil ecosystem functions. In this study we aimed at performing such historical and spatial tracing using a long term time-series of aerial survey images, in combination with a set of very high resolution data: resistivity EM38 measurements and very high resolution Pléiades satellite images. This study was conducted over a 6 ha-farm mainly planted with rainfed black Grenache and Syrah varieties in the Southern Rhone Valley. In a previous study carried out at regional scale, soil landscape and potential terroir units had been characterized. A new field survey carried out in January 2015 considered a total of 98 topsoil sampling sites in addition to 14 soil pits, the horizons of which were described and sampled. Physico-chemical analyses were made for all soil samples, and for those horizons having the highest root development, additional analytical parameters such as copper, active lime and mineral nutrients contents were determined. Along with soil parameters, soil surface condition, vine biological parameters including vigour, presence of diseases, stock-unearthing were collected. A total of 25 aerial photographs in digitized format from the French National Institute of Geographic and Forest Information (IGN) were examined over the 1947
Chang, J.-C.; Shen, S.-M.; Liu, Y.-S.
The Taiwan Island, located at the collision boundary of the Eurasia Plate and the Philippine Sea Plate, is characterized by intensive weathering, frequent landslides and debris flows. The latter, however, had never been regarded as a serious threat until the extensive debris flows, induced by Typhoon Herb in 1996 and/or Typhoon Toraji in 2001, caused unprecedented hazardous damages in many low-order streams, especially in the Chenyulan river basin, central Taiwan. Certain streams that remained intact in 1996 experienced dramatic change in 2001. For a better understanding of the historical records of the debris flow, a thorough examination of 17~29 versions of aerial photographs (ranging from 1951 to 2000) of four selected small catchments, which are located in the northern part of the Chenyulan basin, were conducted. The result shows that the Fengchiu stream has experienced six debris flow events over last 50 years and stands for the most vulnerable group in the basin. Statistically, the accumulation rainfall amount of an individual typhoon over 200 mm may trigger debris flow in this stream. During the same period, the other three streams did not experience any dramatic change Typhoon Toraji (>400 mm / 12 hrs). The devastating earthquake (magnitude 7.3), which occurred in 1999 and caused extensive landslides and rockfalls, is also believed playing an important role.
Fytsilis, Anastasios L.; Prokos, Anthony; Koutroumbas, Konstantinos D.; Michail, Dimitrios; Kontoes, Charalambos C.
In this paper a novel integrated hybrid methodology for unsupervised change detection between Unmanned Aerial Vehicle (UAV) and satellite images, which can be utilized in various fields like security applications (e.g. border surveillance) and damage assessment, is proposed. This is a challenging problem mainly due to the difference in geographic coverage and the spatial resolution of the two images, as well as to the acquisition modes which lead to misregistration errors. The methodology consists of the following steps: (a) pre-processing, where the part of the satellite image that corresponds to the UAV image is determined and the UAV image is ortho-rectified using information provided by a Digital Terrain Model, (b) the detection of potential changes, which is based exclusively on intensity and image gradient information, (c) the generation of the region map, where homogeneous regions are produced by the previous potential changes via a seeded region growing algorithm and placed on the region map, and (d) the evaluation of the above regions, in order to characterize them as true changes or not. The methodology has been applied on demanding real datasets with very encouraging results. Finally, its robustness to the misregistration errors is assessed via extensive experimentation.
The improvements in precision to be obtained by the use of an automatic image processing system to determine the positions of Jupiter and its Galilean satellites are evaluated. A computer-guided microdensitometer was used to measure photometric intensities and positions on a long-focus astrometric photographic plate containing images of the Galilean satellites, Jupiter, field stars and a trail left by a star or satellite for the determination of orientation. The problem of determining the center of gravity of the planet is approached by the determination of planetary limb according to inflection points on either side of the photometric density profile. Automatic measures of Jupiter position made on the basis of this procedure are found to represent a significant improvement in accuracy relative to manual measurements, allowing an improvement in planet-satellite distance determinations. It is noted that the use of an interactive computer facility of large capacity would allow a reduction in processing time associated with a means of screening plate quality.
Pearl, Christopher A.; Adams, Michael J.; Haggerty, Patricia K.; Urban, Leslie
Beavers (Castor canadensis) influence habitat for many species and pose challenges in developed landscapes. They are increasingly viewed as a cost-efficient means of riparian habitat restoration and water storage. Still, information on their status is rare, particularly in western North America. We used aerial photography to evaluate changes in beaver occupancy between 1942–1968 and 2009 in upper portions of 2 large watersheds in Oregon, USA. We used multiple observers and occupancy modeling to account for bias related to photo quality, observers, and imperfect detection of beaver impoundments. Our analysis suggested a slightly higher rate of beaver occupancy in the upper Deschutes than the upper Klamath basin. We found weak evidence for beaver increases in the west and declines in eastern parts of the study area. Our study presents a method for dealing with observer variation in photo interpretation and provides the first assessment of the extent of beaver influence in 2 basins with major water-use challenges. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
Mackey, B. H.; Roering, J. J.; Hollingsworth, J.; Lamb, M. P.
Large, slow-moving landslides known as earthflows can continuously move and evolve for centuries. They can exhibit complex spatiotemporal patterns of movement, thought to be influenced by precipitation, toe erosion, the distribution of mass within the flow, and interaction with surface gullies. However, few studies have sufficient duration or spatial resolution to quantitatively assess how these factors interact and control the long-term activity and morphology of large earthflows. We leverage airborne LiDAR to unlock the wealth of quantitative information available from historical aerial photos, and document the 62 year evolution, kinematics, morphology, and change of the Boulder Creek earthflow along the Eel River, northern California. This 5 km long, glacier-like earthflow has an active surface area exceeding 3 km2. Multiple tributary flows feed into a central transport zone, which terminates at a large toe. We orthorectified 8 sets of aerial photographs dating back to 1944 by incorporating 1 m2 LiDAR as the reference image and elevation model, achieving a median rectification error of ~2.3 m. By tracking the position of individual trees growing on the earthflow surface through sequential photos, we built up a detailed vector field and time series of earthflow movement. To augment the vector field provided by displaced trees, we utilized the Cosi-Corr program to automatically detect changes between sequential orthorectified aerial photos at the pixel scale. This process identified broad zones of movement conforming to the manual displacement mapping, and detected additional movement in locations devoid of trees where manual tracking was not possible. To assess vertical change, we combine stereo-pair aerial photos and the LiDAR DEM to construct a 1.5 m resolution DEM dating to 1944 (vertical error of ± 1-2 m). We then compared this historical 1944 DEM to the 1 m LiDAR to construct a DEM of differential elevation. Earthflow velocities average 1-2 m/yr, but vary
Elmes, A.; Rogan, J.; Williams, C. A.; Martin, D. G.; Ratick, S.; Nowak, D.
Urban tree canopy (UTC) coverage is a critical component of sustainable urban areas. Trees provide a number of important ecosystem services, including air pollution mitigation, water runoff control, and aesthetic and cultural values. Critically, urban trees also act to mitigate the urban heat island (UHI) effect by shading impervious surfaces and via evaporative cooling. The cooling effect of urban trees can be seen locally, with individual trees reducing home HVAC costs, and at a citywide scale, reducing the extent and magnitude of an urban areas UHI. In order to accurately model the ecosystem services of a given urban forest, it is essential to map in detail the condition and composition of these trees at a fine scale, capturing individual tree crowns and their vertical structure. This paper presents methods for delineating UTC and measuring canopy structure at fine spatial resolution (<1m). These metrics are essential for modeling the HVAC benefits from UTC for individual homes, and for assessing the ecosystem services for entire urban areas. Such maps have previously been made using a variety of methods, typically relying on high resolution aerial or satellite imagery. This paper seeks to contribute to this growing body of methods, relying on a data fusion method to combine the information contained in high resolution WorldView-3 satellite imagery and aerial lidar data using an object-based image classification approach. The study area, Worcester, MA, has recently undergone a large-scale tree removal and reforestation program, following a pest eradication effort. Therefore, the urban canopy in this location provides a wide mix of tree age class and functional type, ideal for illustrating the effectiveness of the proposed methods. Early results show that the object-based classifier is indeed capable of identifying individual tree crowns, while continued research will focus on extracting crown structural characteristics using lidar-derived metrics. Ultimately
Gaffin, Douglas D.; Dewar, Alexander; Graham, Paul; Philippides, Andrew
Humans have long marveled at the ability of animals to navigate swiftly, accurately, and across long distances. Many mechanisms have been proposed for how animals acquire, store, and retrace learned routes, yet many of these hypotheses appear incongruent with behavioral observations and the animals’ neural constraints. The “Navigation by Scene Familiarity Hypothesis” proposed originally for insect navigation offers an elegantly simple solution for retracing previously experienced routes without the need for complex neural architectures and memory retrieval mechanisms. This hypothesis proposes that an animal can return to a target location by simply moving toward the most familiar scene at any given point. Proof of concept simulations have used computer-generated ant’s-eye views of the world, but here we test the ability of scene familiarity algorithms to navigate training routes across satellite images extracted from Google Maps. We find that Google satellite images are so rich in visual information that familiarity algorithms can be used to retrace even tortuous routes with low-resolution sensors. We discuss the implications of these findings not only for animal navigation but also for the potential development of visual augmentation systems and robot guidance algorithms. PMID:25874764
Lasaponara, R.; Masini, N.; Holmgren, R.; Backe Forsberg, Y.
The objective of this research is to detect and extract traces of past human activities on the Etruscan site of San Giovenale (Blera) in Northern Lazio, Italy. Investigations have been conducted by integrating high-resolution satellite data with digital models derived from LiDAR survey and multisensory aerial prospection (traditional, thermal and near infrared pictures). The use of different sensor technologies is requested to cope with (i) different types of surface covers, i.e. vegetated and non-vegetated areas (trees, bushes, agricultural uses, etc), (ii) variety of archaeological marks (micro-relief, crop marks, etc) and (iii) different types of expected spatial/spectral feature patterns linked to past human activities (urban necropoleis, palaeorivers, etc). Field surveys enabled us to confirm remotely sensed features which were detected in both densely and sparsely vegetated areas, thus revealing a large variety of cultural transformations, ritual and infrastructural remains such as roads, tombs and water installations. Our findings clearly point out a connection between the Vignale plateau and the main acropolis (San Giovenale) as well as with the surrounding burial grounds. Our results suggest that the synergic use of multisensory/multisource data sets, including ancillary information, provides a comprehensive overview of new findings. This facilitates the interpretation of various results obtained from different sensors when studied in a larger prospective.
Andrefeouet, Serge; Robinson, Julie
Coral reefs worldwide are suffering from severe and rapid degradation (Bryant et A, 1998; Hoegh-Guldberg, 1999). Quick, consistent, large-scale assessment is required to assess and monitor their status (e.g., USDOC/NOAA NESDIS et al., 1999). On-going systematic collection of high resolution digital satellite data will exhaustively complement the relatively small number of SPOT, Landsat 4-5, and IRS scenes acquired for coral reefs the last 20 years. The workhorse for current image acquisition is the Landsat 7 ETM+ Long Term Acquisition Plan (Gasch et al. 2000). Coral reefs are encountered in tropical areas and cloud contamination in satellite images is frequently a problem (Benner and Curry 1998), despite new automated techniques of cloud cover avoidance (Gasch and Campana 2000). Fusion of multidate acquisitions is a classical solution to solve the cloud problems. Though elegant, this solution is costly since multiple images must be purchased for one location; the cost may be prohibitive for institutions in developing countries. There are other difficulties associated with fusing multidate images as well. For example, water quality or surface state can significantly change through time in coral reef areas making the bathymetric processing of a mosaiced image strenuous. Therefore, another strategy must be selected to detect clouds and improve coral reefs mapping. Other supplemental data could be helpful and cost-effective for distinguishing clouds and generating the best possible reef maps in the shortest amount of time. Photographs taken from the 1960s to the present from the Space Shuttle and other human-occupied spacecraft are one under-used source of alternative multitemporal data (Lulla et al. 1996). Nearly 400,000 photographs have been acquired during this period, an estimated 28,000 of these taken to date are of potential value for reef remote sensing (Robinson et al. 2000a). The photographic images can be digitized into three bands (red, green and blue) and
48. Photocopy of photograph, dated March 23, 1964, photographer unknown. Original photograph property of the U.S. Coast Guard. AERIAL VIEW OF STARBOARD SIDE WHILE UNDERWAY. - U.S. Coast Guard Cutter WHITE HEATH, USGS Integrated Support Command Boston, 427 Commercial Street, Boston, Suffolk County, MA
33. Photographic copy of photograph (ca. 1962, original print in possession of Army Corps of Engineers, Ft. Belvoir, Virginia) Photographer unknown. Aerial view of launch control facility under construction, parking area and approach road completed, sewage lagoon at lower right - Ellsworth Air Force Base, Delta Flight, 10 mile radius around Exit 127 off Interstate 90, Interior, Jackson County, SD
15. Photographic copy of photograph (circa 1950, original print in Archives, Public Affairs Department, Sears Merchandise Group, Hoffman Estates, Illinois), Photographer unknown. AERIAL VIEW OF MAIL ORDER PLANT AND SURROUNDING NEIGHBORHOOD, VIEW TO WEST - Sears Roebuck & Company Mail Order Plant, Bounded by Lexington & Grenshaw Streets, Kedzie Avenue & Independence Boulevard, Chicago, Cook County, IL
14. Photographic copy of photograph (circa 1950, original print in Archives, Public Affairs Department, Sears Merchandise Group, Hoffman Estates, Illinois), Photographer unknown. AERIAL VIEW OF MAIL ORDER PLANT AND SURROUNDING NEIGHBORHOOD, VIEW TO SOUTHEAST - Sears Roebuck & Company Mail Order Plant, Bounded by Lexington & Grenshaw Streets, Kedzie Avenue & Independence Boulevard, Chicago, Cook County, IL
31. Photographic copy of photograph (ca. 1962, original print in possession of Army Corps of Engineers, Ft. Belvoir, Virginia) Photographer unknown. Aerial view of egg of launch control center, nearly buried - Ellsworth Air Force Base, Delta Flight, 10 mile radius around Exit 127 off Interstate 90, Interior, Jackson County, SD
40. Photocopy of photograph (negative made from original photograph on file at Veterans Administration in Wichita, Kansas), photographer unknown, ca. 1933. Panoramic aerial view of Veterans Administration Center, view north, City of Wichita in background, Building 8 is first structure on right - Veterans Administration Center, Officers Duplex Quarters, 5302 East Kellogg (Legal Address); 5500 East Kellogg (Common Address), Wichita, Sedgwick County, KS
Photocopy of photograph (original photograph in possession of Atlanta Housing Authority, Atlanta, GA). Photographer unknown, 1981. AERIAL VIEW IN CONTEXT, TECHWOOD HOMES, FROM SOUTHEAST FACING NORTHWEST. - Techwood Homes (Public Housing), Bounded by North Avenue, Parker Street, William Street & Lovejoy Street, Atlanta, Fulton County, GA
32. Photographic copy of photograph (ca. 1962, original print in possession of Army Corps of Engineers, Ft. Belvoir, Virginia) Photographer unknown. Aerial view of launch control facility under construction - Ellsworth Air Force Base, Delta Flight, 10 mile radius around Exit 127 off Interstate 90, Interior, Jackson County, SD
6. Photocopy of photograph original print located at Arizona Photographic Associates, Inc., Phoenix, Arizona. Photographer: Herb McLaughlin, circa. 1965 AERIAL VIEW, LOOKING SOUTHEAST TOWARD TEMPE BUTTE, SHOWING, FROM TOP, MILL AVENUE BRIDGE, ASH AVENUE BRIDGE, AND SOUTHERN PACIFIC RAILROAD BRIDGE - Ash Avenue Bridge, Spanning Salt River at Foot of Ash Avenue, Tempe, Maricopa County, AZ
2. Photocopy of photograph (original photograph in possession of Atlanta Housing Authority, Atlanta, GA). Photographer unknown, circa 1940. Aerial view of Clark Howell Homes, center, Techwood Homes, left, Georgia Institute of Technology, bottom. - Clark Howell Homes (Public Housing), Bounded by North Avenue, Lovejoy Street, Mills Street & Luckie Street, Atlanta, Fulton County, GA
1. Photocopy of photograph (original photograph in possession of Atlanta Housing Authority, Atlanta, GA). Photographer unknown, circa 1940. Aerial view, Clark Howell Homes, left, Techwood Homes, right, Georgia Institute of Technology, top, right. - Clark Howell Homes (Public Housing), Bounded by North Avenue, Lovejoy Street, Mills Street & Luckie Street, Atlanta, Fulton County, GA
Morgan, Karen L.M.; Hapke, Cheryl J.; Himmelstoss, Emily A.
Table 1 provides detailed information about the GPS location, name, date, and time for each of the 12,726 photographs taken along with links to each photograph. In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files
Morgan, Karen L. M.; Krohn, M. Dennis
Table 1 provides detailed information about the GPS location, image name, date, and time for each of the 2,688 photographs that were taken along with links to each photograph.In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML also shows the track of Hurricane Irene. The KML files were created using the photographic navigation files. These KML file(s) can be found in the kml folder.
includes noncontact registration of eye motion, reconstruction of "attention landscape" fixed by the expert, recording the comments of the expert who is a specialist in the field of images` interpretation, and transfer this information into knowledge base.Creation of base of ophthalmologic images (OI) includes making semantic contacts from great number of OI based on analysis of OI and expert's comments.Processing of OI and making generalized OI (GOI) is realized by inductive logic algorithms and consists in synthesis of structural invariants of OI. The mode of recognition and interpretation of unknown images consists of several stages, which include: comparison of unknown image with the base of structural invariants of OI; revealing of structural invariants in unknown images; ynthesis of interpretive message of the structural invariants base and OI base (the experts` comments stored in it). We want to emphasize that the training mode does not assume special involvement of experts to teach the system - it is realized in the process of regular experts` work on image interpretation and it becomes possible after installation of a special apparatus for non contact registration of experts` attention. Consequently, the technology, which principles is described there, provides fundamentally new effective solution to the problem of exploration of mineral resource deposits based on computer analysis of aerial and satellite image data.
Morgan, Karen L. M.
In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.
Morgan, Karen L. M.
In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files. These KML files can be found in the kml folder.
7. Photographic copy of photograph, 1975 (original photograph in 55th Wing Historian files, Offutt Air Force Base, Bellevue, Nebraska). Aerial view of project looking glass historic district. Large rectangular form closet to top of photograph is the district's centerpiece, the operational apron. - Offutt Air Force Base, Looking Glass Airborne Command Post, Looking Glass Avenue between Comstat Drive & Nightwatch Avenue, Offutt Air Force Base, Bellevue, Sarpy County, NE
Wells, G. L.; Tapley, B. D.; Bettadpur, S. V.; Howard, T.; Porter, B.; Smith, S.; Teng, L.; Tapley, C.
The effective use of remote sensing products as guidance to emergency managers and first responders during field operations requires close coordination and communication with state-level decision makers, incident commanders and the leaders of individual strike teams. Information must be tailored to meet the needs of different emergency support functions and must contain current (ideally near real-time) data delivered in standard formats in time to influence decisions made under rapidly changing conditions. Since 2003, a representative of the University of Texas Center for Space Research (CSR) has served as a member of the Governor's Emergency Management Council and has directed the flow of information from remote sensing observations and high performance computing modeling and simulations to the Texas Division of Emergency Management in the State Operations Center. The CSR team has supported response and recovery missions resulting from hurricanes, tornadoes, flash floods, wildfires, oil spills and other natural and man-made disasters in Texas and surrounding states. Through web mapping services, state emergency managers and field teams have received threat model forecasts, real-time vehicle tracking displays and imagery to support search-and-clear operations before hurricane landfall, search-and-rescue missions following floods, tactical wildfire suppression, pollution monitoring and hazardous materials detection. Data servers provide near real-time satellite imagery collected by CSR's direct broadcast receiving system and post data products delivered during activations of the United Nations International Charter on Space and Major Disasters. In the aftermath of large-scale events, CSR is charged with tasking state aviation resources, including the Air National Guard and Texas Civil Air Patrol, to acquire geolocated aerial photography of the affected region for wide area damage assessment. A data archive for each disaster is available online for years following
Hepworth, J. V. (Principal Investigator); Akehurst, S. M.
The author has identified the following significant results. Small scale ERTS-1 imagery has enabled investigators to study large areas at a time. The imagery appears to confirm a new theory that Archean greenstone belts in NE Botswanna and SW Rhodesia are co-extensive and that these so-called schist relics formerly covered a much wider area than is apparent now. The central parts of the region bounded by the schist relics are believed to have suffered granitization. A remnant of an older drainage system to the southwest of the Okavango Swamps, which seems to have been newly discovered on the imagery, may be an indication of the seismic instability of the region. Even quite small earth movements in the swamps could radically affect the direction of water flow. The imagery has proved successful in showing areas infested by the water weed Salvinia Auriculata in the Chobe and Zambesi rivers. This will be immensely valuable in later surveys on the ground. If the satellite was to have continued working, the imagery would have enabled workers to determine the extent of encroachment of the weed without recourse to field observations.
The Environmental Sciences Division (ESD) in the National Exposure Research Laboratory (NERL) of the Office of Research and Development provides remote sensing technical support including aerial photograph acquisition and interpretation to the EPA Program Offices, ORD Laboratorie...
35. Photographic copy of an historic photograph (From the Navy Yard Historical Center). AERIAL VIEW OF THE NAVY YARD DURING THE 1936 FLOOD. VIEW LOOKING NORTHWEST. BUILDING 36, JUST RIGHT OF CENTER, CONSISTS OF THE EAST AND NORTH WINGS OF THE QUADRANGLE STRUCTURE. - Navy Yard, Ordnance Building, Intersection of Paulding & Kennon Streets, Washington, District of Columbia, DC
Photographic copy of photograph from Panama Birdseye presented to The Panama Canal by Major General Sturgis, October 1, 1938 (original print located in the Panama Canal Commission Technical Resources Center Collection Balboa, Republic of Panama). Aerial view of Balboa Heights with Balboa Elementary School in background center. - Balboa School, Northeast end of El Prado, Balboa, Former Panama Canal Zone, CZ
Photographic copy of photograph from Panama Birdseye presented to The Panama Canal by Major General Sturgis, October 1, 1938 (original print located in the Panama Canal Commission Technical Resources Center Collection Balboa, Republic of Panama). Aerial view of Fort Amador - Fort Amador, Pacific entrance to Panama Canal, Panama City, Former Panama Canal Zone, CZ
Photographic copy of photograph from Panama Birdseye presented to The Panama Canal by Major General Sturgis, October 1, 1938 (original print located in the Panama Canal Commission Technical Resources Center Collection Balboa, Republic of Panama). Aerial view of Ancon Hill and Quarry Heights - Quarry Heights Military Reservation, Ancon Hill, Balboa, Former Panama Canal Zone, CZ
Photographic copy of photograph, ca. 1921 (original print located in the National Archives & Records Administration, Still Picture Branch, Panama Canal Collection Series 185-G, #453, Washington, D.C.). Aerial view of Quarry Heights and Balboa from Sosa Hill - Quarry Heights Military Reservation, Ancon Hill, Balboa, Former Panama Canal Zone, CZ
Magnússon, E.; Belart, J. M. C.; Pálsson, F.; Ágústsson, H.; Crochet, P.
In this paper we describe how recent high resolution Digital Elevation Models (DEMs) can be used as constraints for extracting glacier surface DEMs from old aerial photographs and to evaluate the uncertainty of the mass balance record derived from the DEMs. We present a case study for Drangajökull ice cap, NW-Iceland. This ice cap covered an area of 144 km2 when it was surveyed with airborne LiDAR in 2011. Aerial photographs spanning all or most of the ice cap are available from survey flights in 1946, 1960, 1975, 1985, 1994 and 2005. All ground control points used to constrain the orientation of the aerial photographs were obtained from the high resolution LiDAR DEM (2 m × 2 m cell size and vertical accuracy < 0.5 m). The LiDAR DEM was also used to estimate errors of the extracted photogrammetric DEMs in ice and snow free areas, at nunataks and outside the glacier margin. The derived errors of each DEM were used to constrain a spherical variogram model, which along with the derived errors in ice and snow free areas were used as inputs into 1000 Sequential Gaussian Simulations (SGSim). The simulations were used to estimate the possible bias in the entire glaciated part of the DEM. The derived bias correction, varying in magnitude between DEMs from 0.03 to 1.66 m (1946 DEM) was then applied. The simulation results were also used to calculate the 95 % confidence level of this bias, resulting in values between ±0.21 m (in 2005) and ±1.58 m (in 1946). Error estimation methods based on more simple proxies would typically yield 2-4 times larger error estimates. The aerial photographs used were acquired between late June and early October. An additional bias correction was therefore estimated using a degree day model to obtain the volume change between the start of two hydrological years (1 October). This correction corresponds to an average elevation change of ~ -3 m in the worst case for 1960, or about ~ 2/3 of volume change between the 1960 and the 1975 DEMs. The
1. Aerial view, looking northeast up Newark Bay, showing entire island Charles Wisniewski, photographer, January 1985 - Shooters Island, Ships Graveyard, Newark Bay, Staten Island (subdivision), Richmond County, NY
Photographic copy of photograph, dated September 1971, (original print in possession of CSSD-HO, Huntsville, AL). Photographer unknown. Aerial view looking north of remote sprint launch site #2, during construction. In the foreground is the remote launch operations building (RLOB); sprint silos are being installed in the background - Stanley R. Mickelsen Safeguard Complex, Remote Sprint Launch Site No. 2, West of Mile Marker 220 on State Route 1, 6.0 miles North of Langdon, ND, Nekoma, Cavalier County, ND
41. Photocopy of photograph (negative made from original photograph on file at Veterans Administration in Wichita, Kansas), photographer unknown, ca. 1933. Aerial view of Veterans Administration Center, view north and east, in the forefront, left to right, are Building 3, Building 1, and Building 2, Buildings 10 through 14 are in background at right - Veterans Administration Center, Officers Duplex Quarters, 5302 East Kellogg (Legal Address); 5500 East Kellogg (Common Address), Wichita, Sedgwick County, KS
45. Photographic copy of photograph, dated October 1970 (original print in possession of CSSD-HO, Huntsville, AL). Photographer unknown. Aerial mid-construction view (northeast to southwest) of perimeter acquisition radar building and par power plant. These buildings were approximately 33% complete at the time - Stanley R. Mickelsen Safeguard Complex, Perimeter Acquisition Radar Building, Limited Access Area, between Limited Access Patrol Road & Service Road A, Nekoma, Cavalier County, ND
San Emeterio, J. L.; Mering, C.
The purpose of the work is to retrieve the major changes in the spatial organization of the ligneous cover in the Sahel due to the climate variability during the last fifty years from the comparison between ancient aerial photos and recent high resolution panchromatic remotely sensed images. Vegetation may be considered as one of the essential resources for the rural societies of the Sahel. Degradation of vegetation cover which has followed the decrease in rainfall from the early 1970s to the mid 1990 have often been considered as a premonitory sign of non reversing desertification. In Sahelian regions, vegetation cover becomes more and more discontinuous with the increasing of dryness and demographic growth. This phenomenon, called 'patchiness' is a good indicator for climate stress. According to some topoedaphic and societal conditions, patchiness leads to various kinds of facies of the ligneous cover from dotted spatial organizations to banded ones, well known as tiger bush. As shrub is overexploited by rural populations for pastoral and domestic use, contraction of the vegetation has negative consequences on human activity in the whole Sahelian zone. In the context of the rainfall increase all over the west African Sahel since the second part of the 1990s, a widespread increase in vegetation productivity has been detected at regional scale. Although, some local observations of recent land clearance seem to be contradictory with such recent greening of the Sahel. As a matter of fact, human actions such as intensive farming and urbanization as a response to recent demographic increase in West Africa have also strong impacts on the degradation of ligneous cover. In order to shed light on the respective parts of climate, environment and human practices in the sahelian vegetation dynamics at local scale in various sahelian sites , a comparison between aerial photographs taken before the severe droughts in West Africa of the 70 and 80's and after the increase of
U.S. Geological Survey
The locations of aerial photographs from the National Aerial Photography Program (NAPP) and the National High Altitude Photography (NHAP) program are shown on flight-line indexes, which are available on microfiche or printed copy of microfiche.
Burns, J.A.; Matthews, M.S.
The present work is based on a conference: Natural Satellites, Colloquium 77 of the IAU, held at Cornell University from July 5 to 9, 1983. Attention is given to the background and origins of satellites, protosatellite swarms, the tectonics of icy satellites, the physical characteristics of satellite surfaces, and the interactions of planetary magnetospheres with icy satellite surfaces. Other topics include the surface composition of natural satellites, the cratering of planetary satellites, the moon, Io, and Europa. Consideration is also given to Ganymede and Callisto, the satellites of Saturn, small satellites, satellites of Uranus and Neptune, and the Pluto-Charon system.
6. Photocopy of photograph (original print in possession of Western Archaeologial and Conservation Center (WACC), Tucson, Arizona), photographer unknown, undated AERIAL VIEW OF FARAWAY RANCH AND VICINITY - Faraway Ranch, Willcox, Cochise County, AZ
Nakada, Ryuji; Takigawa, Masanori; Ohga, Tomowo; Fujii, Noritsuna
Digital oblique aerial camera (hereinafter called "oblique cameras") is an assembly of medium format digital cameras capable of shooting digital aerial photographs in five directions i.e. nadir view and oblique views (forward and backward, left and right views) simultaneously and it is used for shooting digital aerial photographs efficiently for generating 3D models in a wide area. For aerial photogrammetry of public survey in Japan, it is required to use large format cameras, like DMC and UltraCam series, to ensure aerial photogrammetric accuracy. Although oblique cameras are intended to generate 3D models, digital aerial photographs in 5 directions taken with them should not be limited to 3D model production but they may also be allowed for digital mapping and photomaps of required public survey accuracy in Japan. In order to verify the potency of using oblique cameras for aerial photogrammetry (simultaneous adjustment, digital mapping and photomaps), (1) a viewer was developed to interpret digital aerial photographs taken with oblique cameras, (2) digital aerial photographs were shot with an oblique camera owned by us, a Penta DigiCAM of IGI mbH, and (3) accuracy of 3D measurements was verified.
Photographic copy of photograph, dated September 1973 (original in the possession of CSSD-HO, Huntsville AL). Photographer unknown. Aerial photograph (west to 0 east) of remote sprint launch site #1. In background are waste stabilization pounds. On next row are the sprint cells. In foreground are the remote launch operations building on left and the limited area sentry station on right. The view illustrates the relatively flat topography of the SRMSC area Benjamin Halpern, 5-18 October 1992 - Stanley R. Mickelsen Safeguard Complex, Remote Sprint Launch Site No. 1, Just South of Ramsey-Cavalier County line & 3 miles West of Hampden, ND, Nekoma, Cavalier County, ND
Diaz, J. A.; Pieri, D. C.; Bland, G.; Fladeland, M. M.
The development of small unmanned aerial systems (sUAS) with a variety of sensor packages, enables in situ and proximal remote sensing measurements of volcanic plumes. Using Costa Rican volcanoes as a Natural Laboratory, the University of Costa Rica as host institution, in collaboration with four NASA centers, have started an initiative to develop low-cost, field-deployable airborne platforms to perform volcanic gas & ash plume research, and in-situ volcanic monitoring in general, in conjunction with orbital assets and state-of-the-art models of plume transport and composition. Several gas sensors have been deployed into the active plume of Turrialba Volcano including a miniature mass spectrometer, and an electrochemical SO2 sensor system with temperature, pressure, relative humidity, and GPS sensors. Several different airborne platforms such as manned research aircraft, unmanned aerial vehicles, tethered balloons, as well as man-portable in-situ ground truth systems are being used for this research. Remote sensing data is also collected from the ASTER and OMI spaceborne instruments and compared with in situ data. The CARTA-UAV 2013 Mission deployment and follow up measurements successfully demonstrated a path to study and visualize gaseous volcanic emissions using mass spectrometer and gas sensor based instrumentation in harsh environment conditions to correlate in situ ground/airborne data with remote sensing satellite data for calibration and validation purposes. The deployment of such technology improves on our current capabilities to detect, analyze, monitor, model, and predict hazards presented to aircraft by volcanogenic ash clouds from active and impending volcanic eruptions.
Caprioli, Mauro; Ceppi, Claudia; Falchi, Ugo; Mancini, Francesco; Scarano, Mario
The use of thermal remote sensing to estimate the phenomenon of urban heat islands (UHI) and development of climate anomalies in urban context represents a consolidated approach. In the current scientific literature a widespread case studies were focused on the estimation of the relationship between features related to the urban environment and the Land Surface Temperatures (LST). The latter is a basic starting observation in the investigation on the UHI phenomenon . However, the evaluation of these relationships is rather difficult. This is due to deficiencies in the detailed knowledge of parameters able to describe geometric and qualitative properties of land covers. These properties are very often not repeatable and not easily transferable in other contexts. In addition, many of the relevant parameters are difficult to be determined at the required spatial resolution and analyses are affected by a lack in the amount of quantitative parameters used. In addition to the LST, several useful indicators are introduced by the literature in the investigation of such phenomena. The objective of this work is to study the relationship between the LST and a set of variables that characterize the anthropic and natural domains of the urban areas, such as urban morphology, the Normalized Differenced Vegetation Index (NDVI), the Sky View Factor (SVF) and other morphometric parameters implemented within a GIS environment. The study case is the city of Bari (Southern Italy) where several recognizable morphologies exhibit a different thermal behavior. The LST parameter was derived from a collection of satellite ASTER images collected within a period spanning from July 2001 and July 2006, whereas aerial thermal imageries were acquired on September 2013. The basic data used for the determination of the descriptive parameters of the urban environmental are derived from digital maps(Geographic Information System of the Apulia Region), Digital Elevation Model and Land Use. The analysis
Svejkovsky, Jan; Hess, Mark; Muskat, Judd; Nedwed, Tim J; McCall, Jenifer; Garcia, Oscar
Knowledge of the spatial distribution of oil thickness patterns within an on-water spill is of obvious importance for immediate spill response activities as well as for subsequent evaluation of the spill impacts. For long-lasting continuous spills like the 2010 3-month Deepwater Horizon (DWH) event in the Gulf of Mexico, it is also important to identify changes in the dominant oil features through time. This study utilized very high resolution (≤5m) aerial and satellite imagery acquired during the DWH spill to evaluate the shape, size and thickness of surface oil features that dominated the DWH slick. Results indicate that outside of the immediate spill source region, oil distributions did not encompass a broad, varied range of thicknesses. Instead, the oil separated into four primary, distinct characterizations: 1) invisible surface films detectable only with Synthetic Aperture Radar imaging because of the decreased surface backscatter, 2) thicker sheen & rainbow areas (<0.005mm), 3) large regional areas of relatively thin, "metallic appearance" films (0.005-0.08mm), and 4) strands of thick, emulsified oil (>1mm) that were consistently hundreds of meters long but most commonly only 10-50m wide. Where present within the slick footprint, each of the three distinct visible oil thickness classes maintained its shape characteristics both spatially (at different distances from the source and in different portions of the slick), and temporally (from mid-May through July 2010). The region over the source site tended to contain a more continuous range of oil thicknesses, however, our results indicate that the continuous injection of subsurface dispersants starting in late May significantly altered (lowered) that range. In addition to characterizing the oil thickness distribution patterns through the timeline of one of the world's largest oil spills, this paper also details the extension of using high resolution aerial imagery to calibrate medium resolution satellite data
Ofli, Ferda; Meier, Patrick; Imran, Muhammad; Castillo, Carlos; Tuia, Devis; Rey, Nicolas; Briant, Julien; Millet, Pauline; Reinhard, Friedrich; Parkan, Matthew; Joost, Stéphane
Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resolution of aerial imagery is an order of magnitude higher than the imagery produced by the most sophisticated commercial satellites today. Both the United States Federal Emergency Management Agency (FEMA) and the European Commission's Joint Research Center (JRC) have noted that aerial imagery will inevitably present a big data challenge. The purpose of this article is to get ahead of this future challenge by proposing a hybrid crowdsourcing and real-time machine learning solution to rapidly process large volumes of aerial data for disaster response in a time-sensitive manner. Crowdsourcing can be used to annotate features of interest in aerial images (such as damaged shelters and roads blocked by debris). These human-annotated features can then be used to train a supervised machine learning system to learn to recognize such features in new unseen images. In this article, we describe how this hybrid solution for image analysis can be implemented as a module (i.e., Aerial Clicker) to extend an existing platform called Artificial Intelligence for Disaster Response (AIDR), which has already been deployed to classify microblog messages during disasters using its Text Clicker module and in response to Cyclone Pam, a category 5 cyclone that devastated Vanuatu in March 2015. The hybrid solution we present can be applied to both aerial and satellite imagery and has applications beyond disaster response such as wildlife protection, human rights, and archeological exploration. As a proof of concept, we recently piloted this solution using very high-resolution aerial photographs of a wildlife reserve in Namibia to support rangers with their wildlife conservation efforts (SAVMAP project, http://lasig.epfl.ch/savmap ). The
An aerial radiological survey was conducted over eleven atolls and two islands within the northern Marshall Islands between September and November 1978. This survey was part of a comprehensive radiological survey, which included extensive terrestrial and marine sampling, to determine possible residual contamination which might remain as a result of the United States nuclear testing program conducted at Bikini Enewetak Atolls between 1946 and 1958. A similar survey was conducted at Enewetak Atoll in 1972. The present survey covered those atolls known to have received direct fallout from the Bravo event, conducted in March 1954 at Bikini Atoll. These included Bikini, Rongelap, Rongerik, Ailinginae, Bikar, Taka, and Utirik Atolls. In addition, several atolls and islands which might have been at the fringes of the Bravo fallout were also surveyed, including Likiep and Ailuk Atolls, Jemo and Mejit Islands, and Wotho Atoll. Ujelang Atoll, which lies approximately 200 km southwest of Enewetak, was also surveyed. Island-averaged terrestrial exposure rates in the range of 30 to 50 ..mu..R/h were observed over parts of Bikini Atoll, including Bikini Island, and over the northern part of Rongelap Atoll. Levels over southern Rongelap and over Rongerik Atoll ranged from 4 to 7 ..mu..R/h. Levels were somewhat lower at Ailinginae Atoll (approximately 2 ..mu..R/h) and at Utirik Atoll (approximately 0.7 ..mu..R/h). The variations observed were consistent with what might be expected from the fallout pattern of the Bravo event. Levels at Ailuk, Likiep, Wotho and Ujelang Atolls and at Mejit and Jemo Islands were consistent with /sup 137/Cs activity, due to worldwide fallout, observed within the United States and at other locations in the central Pacific. These four atolls and the two islands, therefore, do not appear to have recieved any significant direct contamination from the Bravo event or the other tests conducted at Bikini and Enewetak Atolls.
5. Aerial view of turnpike path running through center of photograph along row of trees. 1917 realignment visible along left edge of photograph along edge of forest. Modernized alignment resumes at top right of photograph. View looking north. - Orange Turnpike, Parallel to new Orange Turnpike, Monroe, Orange County, NY
Young, Larry A.; Pisanich, Greg; Ippolito, Corey
This paper presents recent results from a mission architecture study of planetary aerial explorers. In this study, several mission scenarios were developed in simulation and evaluated on success in meeting mission goals. This aerial explorer mission architecture study is unique in comparison with previous Mars airplane research activities. The study examines how aerial vehicles can find and gain access to otherwise inaccessible terrain features of interest. The aerial explorer also engages in a high-level of (indirect) surface interaction, despite not typically being able to takeoff and land or to engage in multiple flights/sorties. To achieve this goal, a new mission paradigm is proposed: aerial explorers should be considered as an additional element in the overall Entry, Descent, Landing System (EDLS) process. Further, aerial vehicles should be considered primarily as carrier/utility platforms whose purpose is to deliver air-deployed sensors and robotic devices, or symbiotes, to those high-value terrain features of interest.
Photographic copy of photograph (original print in possession of James E. Zelinski, Earth Tech, Huntsville, AL). Photographer unknown. Aerial view (southwest to northeast) of remote sprint launch site #2, nearing completion. The RLOB has been earth-mounded. The limited access sentry station can be seen in the PAR right foreground, behind it are the waste stabilization ponds. Barely discernible is the exclusion area sentry station at the entrance to the sprint field - Stanley R. Mickelsen Safeguard Complex, Remote Sprint Launch Site No. 2, West of Mile Marker 220 on State Route 1, 6.0 miles North of Langdon, ND, Nekoma, Cavalier County, ND
43. Photographic copy of photograph, dated September 1973 (original print in possession of CSSD-HO, Huntsville, AL). Photographer unknown. Aerial view (southwest to northeast) of perimeter acquisition radar building, showing tactical and nontactical support buildings. From lest hand corner, note storage building (#709); to the right, gymnasium (715). Next row, left to BOQ (#708); Bachelor's enlisted men's quarters (#720). Above #720 can be seen industrial building (#730), and above that, a substation (#740). Below PARB, to left and right, are PARPP exhaust shafts and heat sink (#813) - Stanley R. Mickelsen Safeguard Complex, Perimeter Acquisition Radar Building, Limited Access Area, between Limited Access Patrol Road & Service Road A, Nekoma, Cavalier County, ND
7. Photographic copy of photograph, date unknown (original print in possession of James E. Zielinski Earth Tech, Huntsville, AL). Pan American World Airways, photographer. Aerial view (north to south) of missile launch area. Warhead handling building can be seen at the bottom center of the picture and the universal missile building in the middle right. In the distance can be seen the missile site control building and related structures - Stanley R. Mickelsen Safeguard Complex, Missile Launch Area, Within Exclusion Area, Nekoma, Cavalier County, ND
Photographic copy of photograph, dated September 1973 (original in possession of CSSD-HO, Huntsville, AL). Photographer unknown. Aerial view (northwest to southeast) of remote sprint launch site #4 during construction. In the background are the waste stabilization ponds. In the foreground, left to right, are the remote launch operations building, the exclusion area sentry stations, and the sprint launch cells - Stanley R. Mickelsen Safeguard Complex, Remote Sprint Launch Site No. 4, North of State Highway 17, approximately 9 miles Northwest of Adams, ND, Nekoma, Cavalier County, ND
11. Photocopy of photograph (original print located in the private collection of Emil Eger, photographer, Yuma, Arizona) Photographer: Emil Eger, October 15, 1953. AERIAL VIEW LOOKING NORTHEAST. - Yuma Main Street Water Treatment Plant, Jones Street at foot of Main Street, Yuma, Yuma County, AZ
10. Photocopy of photograph (original print located in the private collection of Emil Eger, photographer, Yuma, Arizona) Photographer: Emil Eger, October 18, 1950. AERIAL VIEW LOOKING EAST. - Yuma Main Street Water Treatment Plant, Jones Street at foot of Main Street, Yuma, Yuma County, AZ
Athale, R.; Lee, S. H.
Various defects in mass-produced pictures transmitted to earth from a satellite are investigated. It is found that the following defects are readily detectable via Fourier spectrum analysis: (1) bit slip, (2) breakup causing loss of image, and (3) disabled track at the top of the imagery. The scratches made on the film during mass production, which are difficult to detect by visual observation, also show themselves readily in Fourier spectrum analysis. A relation is established between the number of scratches, their width and depth and the intensity of their Fourier spectra. Other defects that are found to be equally suitable for Fourier spectrum analysis or visual (image analysis) detection are synchronous loss without blurring of image, and density variation in gray scale. However, the Fourier spectrum analysis is found to be unsuitable for detection of such defects as pin holes, annotation error, synchronous loss with blurring of images, and missing image in the beginning of the work order. The design of an automated, real time system, which will reject defective films, is treated.
Spallek, Waldemar; Witek, Matylda; Niedzielski, Tomasz
Snow cover is a key environmental variable that influences high flow events driven by snow-melt episodes. Estimates of snow extent (SE), snow depth (SD) and snow water equivalent (SWE) allow to approximate runoff caused by snow-melt episodes. These variables are purely spatial characteristics, and hence their pointwise measurements using terrestrial monitoring systems do not offer the comprehensive and fully-spatial information on water storage in snow. Existing satellite observations of snow reveal moderate spatial resolution which, not uncommonly, is not fine enough to estimate the above-mentioned snow-related variables for small catchments. High-resolution aerial photographs and the resulting orthophotomaps and digital surface models (DSMs), obtained using unmanned aerial vehicles (UAVs), may offer spatial resolution of 3 cm/px. The UAV-based observation of snow cover may be done using the near-infrared (NIR) cameras and visible-light cameras. Since the beginning of 2015, in frame of the research project no. LIDER/012/223/L-5/13/NCBR/2014 financed by the National Centre for Research and Development of Poland, we have performed a series of the UAV flights targeted at four sites in the Kwisa catchment in the Izerskie Mts. (part of the Sudetes, SW Poland). Observations are carried out with the ultralight UAV swinglet CAM (produced by senseFly, lightweight 0.5 kg, wingspan 80 cm) which enables on-demand sampling at low costs. The aim of the field work is to acquire aerial photographs taken using the visible-light and NIR cameras for a purpose of producing time series of DSMs and orthophotomaps with snow cover for all sites. The DSMs are used to calculate SD as difference between observational (with snow) and reference (without snow) models. In order to verify such an approach to compute SD we apply several procedures, one of which is the estimation of SE using the corresponding orthophotomaps generated on a basis of visual-light and NIR images. The objective of this