100+ datasets found
  1. d

    U.S. Geological Survey Aerial Photography

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Apr 11, 2025
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    DOI/USGS/EROS (2025). U.S. Geological Survey Aerial Photography [Dataset]. https://catalog.data.gov/dataset/u-s-geological-survey-aerial-photography
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The U.S. Geological Survey (USGS) Aerial Photography data set includes over 2.5 million film transparencies. Beginning in 1937, photographs were acquired for mapping purposes at different altitudes using various focal lengths and film types. The resultant black-and-white photographs contain less than 5 percent cloud cover and were acquired under rigid quality control and project specifications (e.g., stereo coverage, continuous area coverage of map or administrative units). Prior to the initiation of the National High Altitude Photography (NHAP) program in 1980, the USGS photography collection was one of the major sources of aerial photographs used for mapping the United States. Since 1980, the USGS has acquired photographs over project areas that require photographs at a larger scale than the photographs in the NHAP and National Aerial Photography Program collections.

  2. a

    Earth Explorer

    • amerigeo.org
    • data.amerigeoss.org
    • +3more
    Updated Nov 10, 2018
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    AmeriGEOSS (2018). Earth Explorer [Dataset]. https://www.amerigeo.org/datasets/21a227e6c315488492d8f0a924cd487e
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    Dataset updated
    Nov 10, 2018
    Dataset authored and provided by
    AmeriGEOSS
    Description

    EarthExplorerUse the USGS EarthExplorer (EE) to search, download, and order satellite images, aerial photographs, and cartographic products. In addition to data from the Landsat missions and a variety of other data providers, EE provides access to MODIS land data products from the NASA Terra and Aqua missions, and ASTER level-1B data products over the U.S. and Territories from the NASA ASTER mission. Registered users of EE have access to more features than guest users.Earth Explorer Distribution DownloadThe EarthExplorer user interface is an online search, discovery, and ordering tool developed by the United States Geological Survey (USGS). EarthExplorer supports the searching of satellite, aircraft, and other remote sensing inventories through interactive and textual-based query capabilities. Through the interface, users can identify search areas, datasets, and display metadata, browse and integrated visual services within the interface.The distributable version of EarthExplorer provides the basic software to provide this functionality. Users are responsible for verification of system recommendations for hosting the application on your own servers. By default, this version of our code is not hooked up to a data source so you will have to integrate the interface with your data. Integration options include service-based API's, databases, and anything else that stores data. To integrate with a data source simply replace the contents of the 'getDataset' and 'search' functions in the CWIC.php file.Distribution is being provided due to users requests for the codebase. The EarthExplorer source code is provided "As Is", without a warranty or support of any kind. The software is in the public domain; it is available to any government or private institution.The software code base is managed through the USGS Configuration Management Board. The software is managed through an automated configuration management tool that updates the code base when new major releases have been thoroughly reviewed and tested.Link: https://earthexplorer.usgs.gov/

  3. c

    Aerial Photographs (from AMES Pilot Land Data System); USGS EDC, Sioux Falls...

    • s.cnmilf.com
    • data.nasa.gov
    • +4more
    Updated Apr 10, 2025
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    DOI/USGS/EROS (2025). Aerial Photographs (from AMES Pilot Land Data System); USGS EDC, Sioux Falls [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/aerial-photographs-from-ames-pilot-land-data-system-usgs-edc-sioux-falls
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Sioux Falls
    Description

    The aerial photography inventoried by the Pilot Land Data System (PLDS) at NASA AMES Research Center has been transferred to the USGS EROS Data Center. The photos were obtained from cameras mounted on high and medium altitude aircraft based at the NASA Ames Research Center. Several cameras with varying focal lengths, lenses and film formats are used, but the Wild RC-10 camera with a focal length of 152 millimeters and a 9 by 9 inch film format is most common. The positive transparencies are typically used for ancillary ground checks in conjunctions with digital processing for the same sites. The aircraft flights, specifically requested by scientists performing approved research, often simultaneously collect data using other sensors on board (e.g. Thematic Mapper Simulators (TMS) and Thermal Infrared Multispectral Scanners). High altitude color infrared photography is used regularly by government agencies for such applications as crop yield forecasting, timber inventory and defoliation assessment, water resource management, land use surveys, water pollution monitoring, and natural disaster assessment. To order, specify the latitude and longitude of interest. You will then be given a list of photos available for that _location. In some cases, "flight books" are available at EDC that describe the nature of the mission during which the photos were taken and other attribute information. The customer service personnel have access to these books for those photo sets for which the books exist.

  4. a

    1947 Aerial Map

    • data-roseville.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 28, 2019
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    CityofRoseville (2019). 1947 Aerial Map [Dataset]. https://data-roseville.opendata.arcgis.com/maps/a522a09c7e0d4cde8b3f495009eb83d3
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    Dataset updated
    Mar 28, 2019
    Dataset authored and provided by
    CityofRoseville
    Area covered
    Description

    This raster dataset corresponds to the year 1947, with data obtained from the USGS Earth Explorer, an online collection of aerial photography. This image is a mosaic of the following photo frames: 1EJA000010017, 1EJA000010019, 1EJA000010024, 1EJA000010025, 1EJA000010027, 1EJA000010066, 1EJA000010067, 1EJA000010102, 1EJA000010103, 1EJA000010106, 1EJA000020081, 1EJA000020082,Some images were clipped to fit into the Roseville City limit.

    Access the Data:

    Access the REST Service from https://ags.roseville.ca.us/arcgis/rest/services/PublicServices/. View the data in our Historical Imagery Collection.Add data to ArcMap or ArcPro by clicking on “View Metadata” and selecting “Open in ArcGIS Desktop”.

  5. d

    Point Cloud derived from historical aerial imagery of the South Cow Mountain...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Point Cloud derived from historical aerial imagery of the South Cow Mountain Recreational Area, Lake County, California, 19770527 [Dataset]. https://catalog.data.gov/dataset/point-cloud-derived-from-historical-aerial-imagery-of-the-south-cow-mountain-recreational-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Lake County, California
    Description

    The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products using historic aerial imagery and Structure from Motion (SfM) photogrammetry methods. A point cloud dataset (.laz) of the South Cow Mountain Recreational Area was generated from stereo historical aerial imagery acquired in by the BLM in 1977. The aerial imagery was downloaded from the USGS Earth Resources Observation and Science (EROS) Data Center's USGS Single Aerial Frame Photo archive and the point cloud was created using USGS guidelines. Photo alignment, error reduction, and dense point cloud generation followed guidelines documented in Over, J.R., Ritchie, A.C., Kranenburg, C.J., Brown, J.A., Buscombe, D., Noble, T., Sherwood, C.R., Warrick, J.A., and Wernette, P.A., 2021, Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6— Structure from motion workflow documentation: U.S. Geological Survey Open-File Report 2021–1039, 46 p., https://doi.org/10.3133/ofr20211039. Photo-identifiable points, selected as synthetic ground-control points, followed guidelines documented in Sherwood, C.R.; Warrick, J.A.; Hill, A.D.; Ritchie, A.C.; Andrews, B.D., and Plant, N.G., 2018. Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry https://doi.org/10.2112/JCOASTRES-D-18-00016.1 Additional post-processing of the 1977 dense point cloud, using Iterative Closest Point (ICP) analysis, was used to improve the alignment with the 2015 LiDAR point cloud. The ICP analysis is explained in Low, K.L., 2004. Linear least-squares optimization for point-to-plane ICP surface registration. Chapel Hill, University of North Carolina, 4(10), pp.1-3. http://www.comp.nus.edu.sg/~lowkl/publications/lowk_point-to-plane_icp_techrep.pdf Data were processed using photogrammetry to generate a three-dimensional point cloud that identifies pixels of an object from multiple images taken from various angles and calculates the x, y, and z coordinates of that object/pixel. The point cloud was processed to create a digital surface model of the study area (57.3 cm resolution). Finally, source images were stitched together based on shared pixels and orthogonally adjusted to the digital surface model to create a high resolution (approximately 18.3 cm) orthoimage for the study area.

  6. n

    USGS Digital Orthophoto Quadrangles

    • cmr.earthdata.nasa.gov
    • datasets.ai
    Updated Jan 29, 2016
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    (2016). USGS Digital Orthophoto Quadrangles [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220566203-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    A Digital Orthophoto Quadrangle (DOQ) is a computer-generated image of an aerial photograph in which the image displacement caused by terrain relief and camera tilt has been removed. The DOQ combines the image characteristics of the original photograph with the georeferenced qualities of a map.

    DOQs are black and white (B/W), natural color, or color-infrared (CIR) images with 1-meter ground resolution.

    The USGS produces three types of DOQs:

    1. 3.75-minute (quarter-quad) DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Most of the U.S. is currently available, and the remaining locations should be complete by 2004. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed via File Transfer Protocol (FTP) as uncompressed files.

    2. 7.5-minute (full-quad) DOQs cover an area measuring 7.5-minutes longitude by 7.5-minutes latitude. Full-quad DOQs are mostly available for Oregon, Washington, and Alaska. Limited coverage may also be available for other states. Full-quad DOQs are available in both Native and GeoTIFF formats. Native is formatted with an ASCII keyword header followed by a series of 8-bit binary image lines for B/W. DOQs in native format are cast to the UTM projection and referenced to either NAD27 or NAD83. GeoTIFF is a georeferenced Tagged Image File Format with referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W full quad is 140-150 megabytes. Full-quad DOQs are distributed via FTP as uncompressed files.

    3. Seamless DOQs are available for free download from the Seamless site. DOQs on this site are the most current version and are available for the conterminous U.S.

    [Summary provided by the USGS.]

  7. d

    NHAP = National High-Altitude Aerial Photography: 1980 - 1989

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). NHAP = National High-Altitude Aerial Photography: 1980 - 1989 [Dataset]. https://catalog.data.gov/dataset/nhap-national-high-altitude-aerial-photography-1980-1989
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    'The National High Altitude Photography (NHAP) program, which was operated from 1980-1989, was coordinated by the U.S. Geological Survey as an interagency project to eliminate duplicate photography in various Government programs. The aim of the program was to cover the 48 conterminous states over a 5-year span. In the NHAP program, black-and-white and color-infrared aerial photographs were obtained on 9-inch film from an altitude of 40,000 feet above mean terrain elevation and are centered over USGS 7.5-minute quadrangles. The color-infrared photographs are at a scale of 1:58,000 (1 inch equals about .9 miles), and the black-and-white photographs are at a scale of 1:80,000 (1 inch equals about 1.26 miles). All NHAP flights were flown in a North to South direction. These photographs are offered as digital images. '

  8. d

    USGS High Resolution Orthoimagery

    • catalog.data.gov
    • cmr.earthdata.nasa.gov
    Updated Apr 11, 2025
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    DOI/USGS/EROS (2025). USGS High Resolution Orthoimagery [Dataset]. https://catalog.data.gov/dataset/usgs-high-resolution-orthoimagery
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    High resolution orthorectified images combine the image characteristics of an aerial photograph with the geometric qualities of a map. An orthoimage is a uniform-scale image where corrections have been made for feature displacement such as building tilt and for scale variations caused by terrain relief, sensor geometry, and camera tilt. A mathematical equation based on ground control points, sensor calibration information, and a digital elevation model is applied to each pixel to rectify the image to obtain the geometric qualities of a map. A digital orthoimage may be created from several photographs mosaicked to form the final image. The source imagery may be black-and-white, natural color, or color infrared with a pixel resolution of 1-meter or finer. With orthoimagery, the resolution refers to the distance on the ground represented by each pixel.

  9. w

    USGS Aerial Photography 1995-1998

    • data.wu.ac.at
    data, html, rest, xml
    Updated Nov 27, 2017
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    State of North Dakota (2017). USGS Aerial Photography 1995-1998 [Dataset]. https://data.wu.ac.at/odso/data_gov/NWMyNzk0MjctYmZkMy00YmQ2LWI3NGMtYWNhZjI4ODc4MThk
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    data, xml, rest, htmlAvailable download formats
    Dataset updated
    Nov 27, 2017
    Dataset provided by
    State of North Dakota
    Area covered
    c738d191870b6a8b83afb41411be3e992dc1041d
    Description

    The aerial imagery in this dataset are copies of standard digital orthophoto quarter quadrangles (DOQQ) received from the Natural Resource and Conservation Service which they obtained from the US Geological Survey. Dates range from approximately 1995 on the western side of the state thru 1998 on the eastern side of the state. An index containing dates is available in the QuadIndex dataset. Image acquisition scale: 1:40,000 (1"=3,333 feet); Map scale: Meets national map accuracy standards for the scale of 1:12,000 (1"=1000 feet); Accuracy: +/- 33.3 feet; Pixel size: 1 meter x 1 meter.

    DOQ images were acquired in native BSQ or TIFF format and either 1) left in UTM, NAD83, Zone 14 format, or 2) reprojected from UTM NAD83 Zone 13 to Zone 14 using ArcInfo Workstation vers. 8.2, 8.3, and 9.0; They were then clipped to USGS 3.75' quarter quadrangles before being mosaiced into state-wide image; Resampling for SDE pyramids was done using bilinear interpolation. The work was done June 2002 thru September 2004.

    Constraints:
    Not to be used for navigation, for informational purposes only. See full disclaimer for more information.

  10. d

    USGS Imagery Only Base Map Service from The National Map.

    • datadiscoverystudio.org
    • cloud.csiss.gmu.edu
    • +1more
    xml
    Updated Feb 8, 2018
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    (2018). USGS Imagery Only Base Map Service from The National Map. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c02a45986160400ca5bc3a71cb554a7f/html
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    xmlAvailable download formats
    Dataset updated
    Feb 8, 2018
    Description

    description: USGS Imagery Only is a tile cache base map of orthoimagery in The National Map visible to the 1:18,000 scale. Orthoimagery data are typically high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation source is displayed at small to medium scales. However, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1-meter pixel resolution with "leaf-on". Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. The National Map program is working on acquisition of high resolution orthoimagery (HRO) for Alaska and Hawaii. Most of the new Alaska imagery data will not be available in this service due to license restrictions. The National Map viewer allows free downloads of public domain, 1-meter resolution orthoimagery in JPEG 2000 (jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution also in JPEG 2000 (jp2) format. For scales below 1:18,000, use the dynamic USGS Imagery Only Large service, https://services.nationalmap.gov/arcgis/rest/services/USGSImageOnlyLarge/MapServer.; abstract: USGS Imagery Only is a tile cache base map of orthoimagery in The National Map visible to the 1:18,000 scale. Orthoimagery data are typically high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation source is displayed at small to medium scales. However, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1-meter pixel resolution with "leaf-on". Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. The National Map program is working on acquisition of high resolution orthoimagery (HRO) for Alaska and Hawaii. Most of the new Alaska imagery data will not be available in this service due to license restrictions. The National Map viewer allows free downloads of public domain, 1-meter resolution orthoimagery in JPEG 2000 (jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution also in JPEG 2000 (jp2) format. For scales below 1:18,000, use the dynamic USGS Imagery Only Large service, https://services.nationalmap.gov/arcgis/rest/services/USGSImageOnlyLarge/MapServer.

  11. d

    Aerial imagery and other remotely-sensed data from a UAS survey of...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 20, 2024
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    U.S. Geological Survey (2024). Aerial imagery and other remotely-sensed data from a UAS survey of Pepperwood Preserve, Sonoma County, CA [Dataset]. https://catalog.data.gov/dataset/aerial-imagery-and-other-remotely-sensed-data-from-a-uas-survey-of-pepperwood-preserve-son
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Sonoma County, California
    Description

    This data release contains Uncrewed Aircraft System (UAS) imagery from three data collection campaigns (flights) over the Pepperwood Preserve in Sonoma County, California. Each child item contains: 1) Orthophoto, 2) Thermal, 3) Normalized Difference Vegetation Index (NDVI), 4) L-band microwave brightness temperature (Tb), 5) Estimated soil moisture, and 6) Digital elevation model from orthoimagery. The overall footprint varies depending on the flight, and the third flight in May 2023 contains an additional set of high-resolution Tb and calculated soil moisture maps for a smaller footprint. The first two flights were performed using a BlackSwift S2, which is a fixed-wing UAS with a 3-meter wingspan, and the third flight was performed using a BlackSwift E2 multirotor UAS, which contained the same instruments as the S2. All files are raster (*.tif) files that can be visualized and edited by geospatial software including ArcGIS, QGIS, Python, and R. The spatial resolution of each raster is dependent on the instrument, type of UAS, and the UAS altitude during data collection. The UAS equipment was operated by personnel from BlackSwift Technologies, LLC, and data were provided to the U.S. Geological Survey.

  12. a

    Aerial Imagery of the Western & Southeastern Idaho (1992, 100-cm)

    • uidaho.hub.arcgis.com
    Updated Feb 17, 2022
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    University of Idaho (2022). Aerial Imagery of the Western & Southeastern Idaho (1992, 100-cm) [Dataset]. https://uidaho.hub.arcgis.com/datasets/c24acff8f4364806828244e003e7983e
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    Dataset updated
    Feb 17, 2022
    Dataset authored and provided by
    University of Idaho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This collections contains 2914 1992 1-meter black & white digital orthorectified images of multiple non-contiguous locations in Idaho. These data were acquired from May 12, 1992 to September 22, 1992, These data are sourced from the U.S. Geological Survey and commonly referred to as a DOQ (Digital Orthophoto Quadrangle).Some DOQs in this collection are made up of source images from just the most recent year. But, some DOQs in this collection were created from source images from more then one year. Regardless, every DOQ in this collection will be made up of at least one source image from the most recent year.Refer to the .hdr file associated with each DOQ for specific image dates. The .hdr file contains a list of all source image dates (SOURCE_IMAGE_DATE) for a DOQ. The source data for this service are available for download from USGS EarthExplorer.Individual image tiles can be downloaded using the Idaho Aerial Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.

  13. d

    Aerial Photo Single Frames

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Apr 11, 2025
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    DOI/USGS/EROS (2025). Aerial Photo Single Frames [Dataset]. https://catalog.data.gov/dataset/aerial-photo-single-frames
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    DOI/USGS/EROS
    Description

    The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4 million frames of photographic images are available for download as medium and high resolution digital products. The high resolution data provide access to photogrammetric quality scans of aerial photographs with sufficient resolution to reveal landscape detail and to facilitate the interpretability of landscape features. Coverage is predominantly over the United States and includes portions of Central America and Puerto Rico. Individual photographs vary in scale, size, film type, quality, and coverage.

  14. a

    Aerial Imagery of Areas Along the Idaho/Wyoming Border, Idaho/Oregon Border,...

    • hub.arcgis.com
    • geocatalog-uidaho.opendata.arcgis.com
    Updated Feb 17, 2022
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    University of Idaho (2022). Aerial Imagery of Areas Along the Idaho/Wyoming Border, Idaho/Oregon Border, & Idaho/Nevada Border (1992/1994, 100-cm) [Dataset]. https://hub.arcgis.com/datasets/002e447147124bc391d859c149be2118
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    Dataset updated
    Feb 17, 2022
    Dataset authored and provided by
    University of Idaho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This collections contains 249 1992 | 1994 1-meter black & white digital orthorectified images of multiple non-contiguous locations in Idaho. These data were acquired from July 30, 1992 to September 17, 1994, These data are sourced from the U.S. Geological Survey and commonly referred to as a DOQ (Digital Orthophoto Quadrangle).Some DOQs in this collection are made up of source images from just the most recent year. But, some DOQs in this collection were created from source images from more then one year. Regardless, every DOQ in this collection will be made up of at least one source image from the most recent year.Refer to the .hdr file associated with each DOQ for specific image dates. The .hdr file contains a list of all source image dates (SOURCE_IMAGE_DATE) for a DOQ. The source data for this service are available for download from USGS EarthExplorer.Individual image tiles can be downloaded using the Idaho Aerial Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.

  15. a

    Aerial Imagery of the Caribou Range; Central Idaho (1997/1998/1999/2000,...

    • hub.arcgis.com
    • geocatalog-uidaho.hub.arcgis.com
    • +1more
    Updated Feb 17, 2022
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    University of Idaho (2022). Aerial Imagery of the Caribou Range; Central Idaho (1997/1998/1999/2000, 100-cm) [Dataset]. https://hub.arcgis.com/datasets/5106b065eb83433087f77ace7fba6a7b
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    Dataset updated
    Feb 17, 2022
    Dataset authored and provided by
    University of Idaho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This collections contains 408 1997 | 1998 | 1999 | 2000 1-meter black & white digital orthorectified images of multiple non-contiguous locations in Idaho. These data were acquired from July 8, 1997 to November 22, 2000, These data are sourced from the U.S. Geological Survey and commonly referred to as a DOQ (Digital Orthophoto Quadrangle).Some DOQs in this collection are made up of source images from just the most recent year. But, some DOQs in this collection were created from source images from more then one year. Regardless, every DOQ in this collection will be made up of at least one source image from the most recent year.Refer to the .hdr file associated with each DOQ for specific image dates. The .hdr file contains a list of all source image dates (SOURCE_IMAGE_DATE) for a DOQ. The source data for this service are available for download from USGS EarthExplorer.Individual image tiles can be downloaded using the Idaho Aerial Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.

  16. 2006 USGS Southeast U.S. Imagery

    • fisheries.noaa.gov
    html
    Updated May 1, 2006
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    OCM Partners (2006). 2006 USGS Southeast U.S. Imagery [Dataset]. https://www.fisheries.noaa.gov/inport/item/49578
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    htmlAvailable download formats
    Dataset updated
    May 1, 2006
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    May 2006
    Area covered
    Description

    Aerial imagery is a critical geospatial data component in identyfing, planning, and preparing for the protection of the US and its people. This dataset includes approximately 78,000 square miles of coverage along or near the Gulf Coast and the Atlantic coastline, terminating north of Wilmington, North Carolina. The imagery was collected in 2006 using aircraft to produce a 0.5 meter pixel reso...

  17. a

    Aerial Imagery of Areas Along the Idaho/Montana Border (1992/1995, 100-cm)

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • geocatalog-uidaho.hub.arcgis.com
    Updated Feb 17, 2022
    + more versions
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    University of Idaho (2022). Aerial Imagery of Areas Along the Idaho/Montana Border (1992/1995, 100-cm) [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/90426dc255d549eea1e86c10e275d34a
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    Dataset updated
    Feb 17, 2022
    Dataset authored and provided by
    University of Idaho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This collections contains 161 1992 | 1995 1-meter black & white digital orthorectified images of multiple non-contiguous locations in Idaho. These data were acquired from July 26, 1992 to September 12, 1995, These data are sourced from the U.S. Geological Survey and commonly referred to as a DOQ (Digital Orthophoto Quadrangle).Some DOQs in this collection are made up of source images from just the most recent year. But, some DOQs in this collection were created from source images from more then one year. Regardless, every DOQ in this collection will be made up of at least one source image from the most recent year.Refer to the .hdr file associated with each DOQ for specific image dates. The .hdr file contains a list of all source image dates (SOURCE_IMAGE_DATE) for a DOQ. The source data for this service are available for download from USGS EarthExplorer.Individual image tiles can be downloaded using the Idaho Aerial Imagery Explorer.These data can be bulk downloaded from a web accessible folder.Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.

  18. a

    Photogrammetric scans of aerial photographs of North American glaciers,...

    • arcticdata.io
    • dataone.org
    Updated Oct 30, 2017
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    Dr. Matt Nolan; Austin S. Post; William Hauer; Alexander Zinck; Shad O'Neel (2017). Photogrammetric scans of aerial photographs of North American glaciers, 1968. Roll 2 jpegs [Dataset]. http://doi.org/10.18739/A20K01
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    Dataset updated
    Oct 30, 2017
    Dataset provided by
    Arctic Data Center
    Authors
    Dr. Matt Nolan; Austin S. Post; William Hauer; Alexander Zinck; Shad O'Neel
    Time period covered
    Jan 1, 1968
    Area covered
    Variables measured
    Date, Roll, Frame, Media, Altitude, Comments, Latitude, Location, Longitude
    Description

    Introduction: Between 1958 and 1999, Austin Post led the USGS collection of aerial imagery of North American glaciers. These images are primarily vertical stereo black and white images, although single oblique images, as well as color images have been collected. The glaciers of North America were the subjects, and the digital products made available here serve to document the changes that have occurred to the glaciers over the past 5 decades. The purpose of this project is to preserve the data contained within these film images in a digital format for future analysis of North American glacier change. File Layout: 1. The first level contains an overall data set of image metadata from 1964 - 1997 (nagapData.csv) and an R script (searchData.R) with instructions on how to search and subset the data. fileLayout.pdf shows the file structure and folder contents visually. There are also three kml files with flight path information by decade. 2. The second level is the year in which the pictures were taken. There are 32 years with images from 1964 – 1997. The majority of these folders are jpegs with notes provided by Austin Post. They also contain a year-specific csv (YYYY.csv) that contains image metadata for the entire year (date, roll numbers, location name, longitude, latitude, altitude, media, and comments). The overall data set (nagapData.csv) is the aggregate of each individual “YYYY.csv” file. 3. The glacier photos are located at the third level (this level). The folders at this level are distinguished by camera roll number (1, 2, etc.), and image type (thumbnail, jpeg, or tif); some also contain fiducial and oblique image folders. This level primarily contains image files of aerial photos as either thumbnails, jpegs, or tifs. It also includes a csv with image metadata specific to each roll (date, roll numbers, location name, longitude, latitude, altitude, media, and comments), a text file (info.txt) with camera specifications unique to each image, and a text file (histo.txt or matchReport.txt) with color information and scanner specifications unique to each image.

  19. a

    Photogrammetric scans of aerial photographs of North American glaciers,...

    • arcticdata.io
    • dataone.org
    Updated Oct 30, 2017
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    Dr. Matt Nolan; Austin S. Post; William Hauer; Alexander Zinck; Shad O'Neel (2017). Photogrammetric scans of aerial photographs of North American glaciers, 1969. Roll 3 jpegs [Dataset]. http://doi.org/10.18739/A2VR9X
    Explore at:
    Dataset updated
    Oct 30, 2017
    Dataset provided by
    Arctic Data Center
    Authors
    Dr. Matt Nolan; Austin S. Post; William Hauer; Alexander Zinck; Shad O'Neel
    Time period covered
    Jan 1, 1969
    Area covered
    Variables measured
    Date, Roll, Frame, Media, Altitude, Comments, Latitude, Location, Longitude
    Description

    Introduction: Between 1958 and 1999, Austin Post led the USGS collection of aerial imagery of North American glaciers. These images are primarily vertical stereo black and white images, although single oblique images, as well as color images have been collected. The glaciers of North America were the subjects, and the digital products made available here serve to document the changes that have occurred to the glaciers over the past 5 decades. The purpose of this project is to preserve the data contained within these film images in a digital format for future analysis of North American glacier change. File Layout: 1. The first level contains an overall data set of image metadata from 1964 - 1997 (nagapData.csv) and an R script (searchData.R) with instructions on how to search and subset the data. fileLayout.pdf shows the file structure and folder contents visually. There are also three kml files with flight path information by decade. 2. The second level is the year in which the pictures were taken. There are 32 years with images from 1964 – 1997. The majority of these folders are jpegs with notes provided by Austin Post. They also contain a year-specific csv (YYYY.csv) that contains image metadata for the entire year (date, roll numbers, location name, longitude, latitude, altitude, media, and comments). The overall data set (nagapData.csv) is the aggregate of each individual “YYYY.csv” file. 3. The glacier photos are located at the third level (this level). The folders at this level are distinguished by camera roll number (1, 2, etc.), and image type (thumbnail, jpeg, or tif); some also contain fiducial and oblique image folders. This level primarily contains image files of aerial photos as either thumbnails, jpegs, or tifs. It also includes a csv with image metadata specific to each roll (date, roll numbers, location name, longitude, latitude, altitude, media, and comments), a text file (info.txt) with camera specifications unique to each image, and a text file (histo.txt or matchReport.txt) with color information and scanner specifications unique to each image.

  20. U

    True color aerial imagery from unmanned aerial systems (UAS) flights:...

    • data.usgs.gov
    • gimi9.com
    • +3more
    Updated Oct 23, 2019
    + more versions
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    Matthew Cashman; Sandra Brosnahan; Samuel Caldwell; Jessica Dewitt; John Young; Leah Staub; James Duda; Andrew Greise (2019). True color aerial imagery from unmanned aerial systems (UAS) flights: Potomac River in White's Ferry, Maryland on October 23, 2019 [Dataset]. http://doi.org/10.5066/P970EQ7D
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    Dataset updated
    Oct 23, 2019
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Matthew Cashman; Sandra Brosnahan; Samuel Caldwell; Jessica Dewitt; John Young; Leah Staub; James Duda; Andrew Greise
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Oct 23, 2019
    Area covered
    Potomac River, Maryland
    Description

    These digital images were taken over an area of the Potomac River in White's Ferry, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 23, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release includes the original true color images from the Ricoh GRII digital camera of the Potomac River in White's Ferry, Maryland.

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DOI/USGS/EROS (2025). U.S. Geological Survey Aerial Photography [Dataset]. https://catalog.data.gov/dataset/u-s-geological-survey-aerial-photography

U.S. Geological Survey Aerial Photography

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12 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 11, 2025
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Description

The U.S. Geological Survey (USGS) Aerial Photography data set includes over 2.5 million film transparencies. Beginning in 1937, photographs were acquired for mapping purposes at different altitudes using various focal lengths and film types. The resultant black-and-white photographs contain less than 5 percent cloud cover and were acquired under rigid quality control and project specifications (e.g., stereo coverage, continuous area coverage of map or administrative units). Prior to the initiation of the National High Altitude Photography (NHAP) program in 1980, the USGS photography collection was one of the major sources of aerial photographs used for mapping the United States. Since 1980, the USGS has acquired photographs over project areas that require photographs at a larger scale than the photographs in the NHAP and National Aerial Photography Program collections.

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