100+ datasets found
  1. d

    Data from: Vertical Aerial Photography

    • environment.data.gov.uk
    Updated Oct 21, 2024
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    Environment Agency (2024). Vertical Aerial Photography [Dataset]. https://environment.data.gov.uk/dataset/dae203a8-ba24-4c54-bab0-866b9faadb58
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    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    Environment Agency
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Vertical aerial photography is an airborne mapping technique, which uses a high-resolution camera mounted vertically underneath the aircraft to capture reflected light in the red, green, blue and for some datasets, near infra-red spectrum. Images of the ground are captured at resolutions between 10cm and 50cm, and ortho-rectified using simultaneous LIDAR and GPS to a high spatial accuracy.

    The Environment Agency has been capturing vertical aerial photography data regularly since 2006 on a project by project basis each ranging in coverage from a few square kilometers to hundreds of square kilometers. The data is available as a raster dataset in ECW (enhanced compressed wavelet) format as either a true colour (RGB), near infra-red (NIR) or a 4-band (RGBN) raster. Where imagery has been captured under incident response conditions and the lighting conditions may be sub-optimal this is defined by the prefix IR. The data are presented as tiles in British National Grid OSGB 1936 projections. Data is available in 5km download zip files for each year of survey. Within each zip file are ECW files aligned to the Ordinance Survey grid. The size of each tile is dependent upon the spatial resolution of the data.

    Please refer to the metadata index catalgoues for the survey date captured, type of survey and spatial resolution of the imagery.

  2. n

    USGS High Resolution Orthoimagery

    • cmr.earthdata.nasa.gov
    • catalog.data.gov
    Updated Jan 29, 2016
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    (2016). USGS High Resolution Orthoimagery [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220567548-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Earth
    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.

  3. a

    Aerial Imagery 2010

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated May 14, 2010
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    Florida Department of Environmental Protection (2010). Aerial Imagery 2010 [Dataset]. https://hub.arcgis.com/datasets/391b0a1f180c499983f3bf588cee1526
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    Dataset updated
    May 14, 2010
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    1 ft ortho rectified imagery for the counties flown in the October 2009 - April 2010 flight acquistion cycle. This imagery layer was rebuilt in ArcGIS 10.2 as a raster mosaic dataset using MrSID imagery for the data source and published in ArcGIS Server 10.2 as a Image Service. This dataset has been published as an ArcGIS Server Image Service for easier maintenance and improved performance. Counties included in this dataset are: Bay, Calhoun, Charlotte (partial), Citrus, Columbia, Dixie, Escambia, Franklin, Gadsden, Gilchrist, Gulf, Hamilton, Hernando, Hillsborough, Jackson, Jefferson, Lafayette, Levy (partial), Madison, Manatee, Marion (partial), Okaloosa, Pasco, Pinellas, Santa Rosa, Sarasota, Suwannee, Taylor, Wakulla, and Washington. Please contact GIS.Librarian@FloridaDEP.gov for more information.

  4. High Resolution Aerial Photography of Puerto Rico and the U.S. Virgin...

    • fisheries.noaa.gov
    • cmr.earthdata.nasa.gov
    • +2more
    jpeg
    Updated Jan 1, 2002
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    Matt Kendall; Tim Battista (2002). High Resolution Aerial Photography of Puerto Rico and the U.S. Virgin Islands, 1965-1999 [Dataset]. https://www.fisheries.noaa.gov/inport/item/39463
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    jpegAvailable download formats
    Dataset updated
    Jan 1, 2002
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Matt Kendall; Tim Battista
    Time period covered
    1965 - 1999
    Area covered
    Description

    Aerial photographs were acquired for the Puerto Rico and U.S. Virgin Islands Benthic Mapping Project in 1999 by NOAA Aircraft Operation Centers aircraft and National Geodetic Survey cameras and personnel. Approximately 600, color, 9 by 9 inch photos were taken of the coastal waters of Puerto Rico and the U.S. Virgin Islands at 1:48000 scale. Specific sun angle and maximum percent cloud cover re...

  5. a

    Aerial Imagery 2013

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Feb 25, 2014
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    Florida Department of Environmental Protection (2014). Aerial Imagery 2013 [Dataset]. https://hub.arcgis.com/datasets/78a04581786d451ab9b0fe162bb86196
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    Dataset updated
    Feb 25, 2014
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    This imagery service contains natural color orthophotos covering counties in north Florida that had imagery captured from October 2012 till spring 2013. An orthophoto is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Counties covered in this dataset are: Bay, Bradford, Calhoun, Columbia, Dixie, Duval, Escambia, Franklin, Gadsden, Gilchrist, Gulf, Hamilton, Holmes, Jackson, Jefferson, Lafayette, Levy, Madison, Okaloosa, Palm Beach (partial), Santa Rosa, Suwannee, Taylor, Union, Wakulla, Walton, and Washington. Please contact GIS.Librarian@FloridaDEP.gov for more information.

  6. LINZ Aerial Imagery Basemap - Web Mercator

    • data-smpdc.opendata.arcgis.com
    • opendata.rcmrd.org
    Updated Jun 10, 2021
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    Land Information New Zealand (2021). LINZ Aerial Imagery Basemap - Web Mercator [Dataset]. https://data-smpdc.opendata.arcgis.com/maps/850d6096d89b48228a0638842fa3801c
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    Dataset updated
    Jun 10, 2021
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

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

    Area covered
    Description

    An aerial imagery basemap of New Zealand in Web Mercator (WGS 1984) using the latest quality data from Land Information New Zealand.Add the map service directly to your ArcGIS Online map, or copy the Web Map Tile Service (WMTS) URL below for use in the desktop.This basemap is also available in NZTM from: https://linz.maps.arcgis.com/home/item.html?id=39cf07ebf8a2413696d8fd4d80570b84 The LINZ Aerial Imagery Basemap details New Zealand in high resolution - from a nationwide view all the way down to individual buildings.This basemap combines the latest high-resolution aerial imagery down to 5cm in urban areas and 10m satellite imagery to provide full coverage of mainland New Zealand, Chathams and other offshore islands.LINZ Basemaps are powered by data from the LINZ Data Service and other authoritative open data sources, providing you with a basemap that is free to use under an open licence.A XYZ tile API (Web Mercator only) is also available for use in web and mobile applications.See more information or provide your feedback at https://basemaps.linz.govt.nz/.For attribution requirements and data sources see: https://www.linz.govt.nz/data/linz-data/linz-basemaps/data-attribution.

  7. d

    USGS Imagery Only Base Map Service from The National Map.

    • datadiscoverystudio.org
    • data.wu.ac.at
    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.

  8. New Zealand 10m Satellite Imagery (2023-2024)

    • data.linz.govt.nz
    dwg with geojpeg +8
    Updated Oct 4, 2024
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    Land Information New Zealand (2024). New Zealand 10m Satellite Imagery (2023-2024) [Dataset]. https://data.linz.govt.nz/layer/120423-new-zealand-10m-satellite-imagery-2023-2024/
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    geotiff, pdf, kea, geojpeg, dwg with geojpeg, erdas imagine, jpeg2000 lossless, jpeg2000, kmlAvailable download formats
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    This dataset provides a seamless cloud-free 10m resolution satellite imagery layer of the New Zealand mainland and offshore islands.

    The imagery was captured by the European Space Agency Sentinel-2 satellites between September 2023 - April 2024.

    Data comprises: • 450 ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:50000 tile layout. • Satellite sensors: ESA Sentinel-2A and Sentinel-2B • Acquisition dates: September 2023 - April 2024 • Spectral resolution: R, G, B • Spatial resolution: 10 meters • Radiometric resolution: 8-bits (downsampled from 12-bits)

    This is a visual product only. The data has been downsampled from 12-bits to 8-bits, and the original values of the images have been modified for visualisation purposes.

    If you require the 12-bit imagery (R, G, B, NIR bands), send your request to imagery@linz.govt.nz

  9. a

    Africa Imagery

    • africageoportal.com
    • rwanda.africageoportal.com
    • +1more
    Updated Dec 1, 2017
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    Africa GeoPortal (2017). Africa Imagery [Dataset]. https://www.africageoportal.com/maps/africa::africa-imagery/about
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    Dataset updated
    Dec 1, 2017
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This map features the World Imagery map, focused on the continent of Africa. World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes 15m TerraColor imagery at small and mid-scales (~1:591M down to ~1:72k) and 2.5m SPOT Imagery (~1:288k to ~1:72k) for the world. DigitalGlobe sub-meter imagery is featured in many parts of the world, including Africa. Sub-meter Pléiades imagery is available in select urban areas. Additionally, imagery at different resolutions has been contributed by the GIS User Community.For more information on this map, view the World Imagery item description. Metadata: This service is metadata-enabled. With the Identify tool in ArcMap or the World Imagery with Metadata web map, you can see the resolution, collection date, and source of the imagery at the location you click. Values of "99999" mean that metadata is not available for that field. The metadata applies only to the best available imagery at that location. You may need to zoom in to view the best available imagery.Feedback: Have you ever seen a problem in the Esri World Imagery Map that you wanted to see fixed? You can use the Imagery Map Feedback web map to provide feedback on issues or errors that you see. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

  10. G

    High Resolution Satellite Imagery

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    esri rest, html
    Updated Jan 9, 2025
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    Government of Yukon (2025). High Resolution Satellite Imagery [Dataset]. https://open.canada.ca/data/en/dataset/0a14b357-8a89-6e98-720e-3a800022cb99
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    html, esri restAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Government of Yukon
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This image service contains high resolution satellite imagery for selected regions throughout the Yukon. Imagery is 1m pixel resolution, or better. Imagery was supplied by the Government of Yukon, and the Canadian Department of National Defense. All the imagery in this service is licensed. If you have any questions about Yukon government satellite imagery, please contact Geomatics.Help@gov.yk.can. This service is managed by Geomatics Yukon.

  11. New Jersey Statewide Digital Aerial Imagery Catalog

    • registry.opendata.aws
    Updated Jul 9, 2020
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    The New Jersey Office of GIS, NJ Office of Information Technology (2020). New Jersey Statewide Digital Aerial Imagery Catalog [Dataset]. https://registry.opendata.aws/nj-imagery/
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    Dataset updated
    Jul 9, 2020
    Dataset provided by
    New Jersey Office of Information Technologyhttp://www.state.nj.us/it/
    Area covered
    New Jersey
    Description

    The New Jersey Office of GIS, NJ Office of Information Technology manages a series of 11 digital orthophotography and scanned aerial photo maps collected at various years ranging from 1930 to 2017. Each year’s worth of imagery are available as Cloud Optimized GeoTIFF (COG) files and some years are available as compressed MrSID and/or JP2 files. Additionally, each year of imagery is organized into a tile grid scheme covering the entire geography of New Jersey. Many years share the same tiling grid while others have unique grids as defined by the project at the time.

  12. d

    NSW Imagery

    • data.gov.au
    • data.nsw.gov.au
    • +1more
    esri mapserver, pdf +3
    Updated Sep 16, 2024
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    Spatial Services (DCS) (2024). NSW Imagery [Dataset]. https://data.gov.au/dataset/ds-nsw-88b00529-bc95-4dde-b5f0-662b3086eb45
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    pdf, url, xml, wms, esri mapserverAvailable download formats
    Dataset updated
    Sep 16, 2024
    Dataset provided by
    Spatial Services (DCS)
    Area covered
    New South Wales
    Description

    The NSW Imagery web service provides access to a repository of the Spatial Services (DCS) maintained standard imagery covering NSW, plus additional sourced imagery. It depicts an imagery map of NSW …Show full descriptionThe NSW Imagery web service provides access to a repository of the Spatial Services (DCS) maintained standard imagery covering NSW, plus additional sourced imagery. It depicts an imagery map of NSW showing a selection of LANDSAT® satellite imagery, standard 50cm orthorectified imageries, High resolution 10cm Town Imageries. It also contains high resolution imageries within multiple areas of NSW within DFSI, Spatial Services maintained projects and captured by AAM, VEKTA and Jacobs (previously SKM). The image web service is updated periodically when new imageries are available. The imageries are shown progressively from scales larger than 1:150,000 higher resolution imagery overlays lower resolution imagery and most recent imagery overlays older imagery within each resolution. The characteristics of each image such as accuracy, resolution, viewing scale, image format etc varies by sensor, location, capture methodology, source and processing. For specific information about the metadata for the imagery used, please refer to the individual data series within the NSW Data Catalogue. As a consequence of the variety of source data, each map displayed by the user within this map service may have a number of copyright permissions. It is emphasised that the user should check the use constraints for each image data series. NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.

  13. d

    Aerial imagery data of the Colorado River Corridor, Arizona - 2021

    • catalog.data.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Aerial imagery data of the Colorado River Corridor, Arizona - 2021 [Dataset]. https://catalog.data.gov/dataset/aerial-imagery-data-of-the-colorado-river-corridor-arizona-2021
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Colorado River, Arizona
    Description

    In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202) and the North American Datum of 1983 (NAD83) National Adjustment of 2011 (NA2011). The airborne data acquisition was conducted under contract by Fugro Earthdata Inc (Fugro) using two fixed wing aircraft from May 29th to June 4th, 2021 at flight altitudes from approximately 2,440 to 3,350 meters above mean sea level. Fugro produced a corridor-wide mosaic using the best possible flight line images with the least amount of smear, the smallest shadow extent, and clearest, most glint-free water possible. The mosaic delivered by Fugro was then further corrected by GCMRC for smear, shadow extent and water clarity as described in the process steps of this metadata and for previous image acquisitions in Durning et al. (2016) and Davis (2012). 47 ground controls points (GCPs) were used to conduct an independent spatial accuracy assessment by GCMRC. The accuracy calculated from the GCPs is reported at 95% confidence as 0.514 m and a Root Mean Square Error (RMSE) of 0.297 m.

  14. P

    AID Dataset

    • paperswithcode.com
    Updated Aug 20, 2016
    + more versions
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    Gui-Song Xia; Jingwen Hu; Fan Hu; Baoguang Shi; Xiang Bai; Yanfei Zhong; Liangpei Zhang (2016). AID Dataset [Dataset]. https://paperswithcode.com/dataset/aid
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    Dataset updated
    Aug 20, 2016
    Authors
    Gui-Song Xia; Jingwen Hu; Fan Hu; Baoguang Shi; Xiang Bai; Yanfei Zhong; Liangpei Zhang
    Description

    AID is a new large-scale aerial image dataset, by collecting sample images from Google Earth imagery. Note that although the Google Earth images are post-processed using RGB renderings from the original optical aerial images, it has proven that there is no significant difference between the Google Earth images with the real optical aerial images even in the pixel-level land use/cover mapping. Thus, the Google Earth images can also be used as aerial images for evaluating scene classification algorithms.

    The new dataset is made up of the following 30 aerial scene types: airport, bare land, baseball field, beach, bridge, center, church, commercial, dense residential, desert, farmland, forest, industrial, meadow, medium residential, mountain, park, parking, playground, pond, port, railway station, resort, river, school, sparse residential, square, stadium, storage tanks and viaduct. All the images are labelled by the specialists in the field of remote sensing image interpretation, and some samples of each class are shown in Fig.1. In all, the AID dataset has a number of 10000 images within 30 classes.

    The images in AID are actually multi-source, as Google Earth images are from different remote imaging sensors. This brings more challenges for scene classification than the single source images like UC-Merced dataset. Moreover, all the sample images per each class in AID are carefully chosen from different countries and regions around the world, mainly in China, the United States, England, France, Italy, Japan, Germany, etc., and they are extracted at different time and seasons under different imaging conditions, which increases the intra-class diversities of the data.

  15. w

    NAIP 2005 2m Color Imagery

    • geo.wa.gov
    • hub.arcgis.com
    Updated Jan 1, 2005
    + more versions
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    Washington State Geospatial Portal (2005). NAIP 2005 2m Color Imagery [Dataset]. https://geo.wa.gov/datasets/4ce9c7f04fca4dec96b8b1078e730733
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    Dataset updated
    Jan 1, 2005
    Dataset authored and provided by
    Washington State Geospatial Portal
    Area covered
    Earth
    Description

    The USGS NAIP Imagery service from The National Map consists of 4-band high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a map. Resolution of National Agriculture Imagery Program (NAIP) data is most commonly 1 meter, which means that every pixel in the digital orthoimage covers a one meter square of the earth’s surface. Some states to include Wyoming and New York began collection of 0.5 meter pixel resolution NAIP in 2015. Many states contribute orthoimagery to The National Map, and USGS relies on a partnership with the U.S. Department of Agriculture’s Farm Service Agency for NAIP data. The USGS NAIP Imagery service is a mosaic of natural color and color infrared (4-band) aerial imagery, containing NAIP and other imagery sources to complete the mosaic. The National Map download client allows free downloads of public domain compressed 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 additional information on orthoimagery, go to https://nationalmap.gov/ortho.html. This imagery service is for viewing only, no downloading of the raster images available. NAIP/NAIP_2005_2m_color_wsps_83h_img

  16. g

    Ontario Imagery Web Map Service (OIWMS)

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    Updated Mar 31, 2014
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    Land Information Ontario (2014). Ontario Imagery Web Map Service (OIWMS) [Dataset]. https://geohub.lio.gov.on.ca/maps/101295c5d3424045917bdd476f322c02
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    Dataset updated
    Mar 31, 2014
    Dataset authored and provided by
    Land Information Ontario
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    The Ontario Imagery Web Map Service (OIWMS) is an open data service available to everyone free of charge. It provides instant online access to the most recent, highest quality, province wide imagery. GEOspatial Ontario (GEO) makes this data available as an Open Geospatial Consortium (OGC) compliant web map service or as an ArcGIS map service. Imagery was compiled from many different acquisitions which are detailed in the Ontario Imagery Web Map Service Metadata Guide linked below. Instructions on how to use the service can also be found in the Imagery User Guide linked below.Note: This map displays the Ontario Imagery Web Map Service Source, a companion ArcGIS web map service to the Ontario Imagery Web Map Service. It provides an overlay that can be used to identify acquisition relevant information such as sensor source and acquisition date. OIWMS contains several hierarchical layers of imagery, with coarser less detailed imagery that draws at broad scales, such as a province wide zooms, and finer more detailed imagery that draws when zoomed in, such as city-wide zooms. The attributes associated with this data describes at what scales (based on a computer screen) the specific imagery datasets are visible.Available ProductsOntario Imagery OCG Web Map Service – public linkOntario Imagery ArcGIS Map Service – public linkOntario Imagery Web Map Service Source – public linkOntario Imagery ArcGIS Map Service – OPS internal linkOntario Imagery Web Map Service Source – OPS internal linkAdditional DocumentationOntario Imagery Web Map Service Metadata Guide (PDF)Imagery User Guide (Word)StatusCompleted: Production of the data has been completedMaintenance and Update FrequencyAnnually: Data is updated every yearContactOntario Ministry of Natural Resources, Geospatial Ontario, imagery@ontario.ca

  17. G

    Aerial imagery - orthophotographic mosaics

    • ouvert.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    csv, html, shp
    Updated May 1, 2025
    + more versions
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    Government and Municipalities of Québec (2025). Aerial imagery - orthophotographic mosaics [Dataset]. https://ouvert.canada.ca/data/dataset/105ad752-420e-4b03-bcee-34e26639db6e
    Explore at:
    csv, html, shpAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset provided by
    Government and Municipalities of Québec
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    **New aerial images released for free! **### All orthophotographic mosaics produced since 2002, in order to meet the needs related to the ecoforest inventory of southern Quebec (IEQM), are now available as open data. For more information on this product, please refer to the fact sheet ** Historic Airborne Forest Imagery **. To download them, please consult the ** download map **. **** Orthophotographic mosaics present an aerial view of Quebec territory at different times. Each image has been analytically straightened to eliminate inaccuracies caused by the camera being tilted at the time of shooting or by the image being moved due to terrain. These collections are the result of governmental and regional initiatives, namely: * The Ecoforest Inventory of Southern Quebec (IEQM) * Partnerships between ministries, agencies and municipal communities Their download is free, as they were acquired under an open data license (** Creative Commons 4.0 **). Three formats are available depending on the territory: JPEG 2000, ECW and GeoTIFF. For product ownership information (resolution, image type, etc.), please refer to the information for each mosaic available in the ** download card **. For more information on priced aerial imagery, please consult the sheet ** aerial imagery ** in the “Maps and Geographic Information” section of the Ministry of Energy and Natural Resources website.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

  18. e

    Download Service Digital Orthophotos 20 cm MV (ATOM_MV_DOP)

    • data.europa.eu
    atom feed
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    Download Service Digital Orthophotos 20 cm MV (ATOM_MV_DOP) [Dataset]. https://data.europa.eu/data/datasets/0dea084c-5d2f-4aa0-a974-481dcd85a0ab
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    atom feedAvailable download formats
    License

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

    Description

    Digital orthophotos (DOPs) are high-resolution, distortion-free aerial images that have a uniform image scale and an exact relation to the country coordinate system. They document the state of landscape at a given time and contain completely all landscape information visible from the “bird perspective” without having already been selected or structured. DOPs are photo-based, pixel-based, geocoded and true to position and are available with a soil resolution of 0.1 m (DOP10), 0.2 m (DOP20) and 0.4 m (DOP40). Through the use of image processing methods, DOP is created from the current aerial stock. Starting with the 2004 flying year, the DOPs are also available as color infrared images (CIR). Since 2013, the airfields have been included both inside and outside the certified situation. The timeliness for the country’s area is about three years. Aerial photographs or DOPs are ideal for comprehending the historical development of landscapes and settlements. This download service provides colored DOP with a ground resolution of 0.2 m via an atomic feed. The RGBI tiles are available in full color resolution and the RGB and CIR tiles are reduced to 256 colors.

  19. LINZ Aerial Imagery Basemap - Web Mercator

    • opendata.rcmrd.org
    Updated Jun 10, 2021
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    Land Information New Zealand (2021). LINZ Aerial Imagery Basemap - Web Mercator [Dataset]. https://opendata.rcmrd.org/maps/LINZ::linz-aerial-imagery-basemap-web-mercator/about
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    Dataset updated
    Jun 10, 2021
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

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

    Area covered
    Description

    An aerial imagery basemap of New Zealand in Web Mercator (WGS 1984) using the latest quality data from Land Information New Zealand.Add the map service directly to your ArcGIS Online map, or copy the Web Map Tile Service (WMTS) URL below for use in the desktop.This basemap is also available in NZTM from: https://linz.maps.arcgis.com/home/item.html?id=39cf07ebf8a2413696d8fd4d80570b84 The LINZ Aerial Imagery Basemap details New Zealand in high resolution - from a nationwide view all the way down to individual buildings.This basemap combines the latest high-resolution aerial imagery down to 5cm in urban areas and 10m satellite imagery to provide full coverage of mainland New Zealand, Chathams and other offshore islands.LINZ Basemaps are powered by data from the LINZ Data Service and other authoritative open data sources, providing you with a basemap that is free to use under an open licence.A XYZ tile API (Web Mercator only) is also available for use in web and mobile applications.See more information or provide your feedback at https://basemaps.linz.govt.nz/.For attribution requirements and data sources see: https://www.linz.govt.nz/data/linz-data/linz-basemaps/data-attribution.

  20. n

    NEON (National Ecological Observatory Network) High-resolution...

    • data.neonscience.org
    zip
    Updated Jun 15, 2023
    + more versions
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    (2023). NEON (National Ecological Observatory Network) High-resolution orthorectified camera imagery mosaic (DP3.30010.001) [Dataset]. https://data.neonscience.org/data-products/DP3.30010.001
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    zipAvailable download formats
    Dataset updated
    Jun 15, 2023
    License

    https://www.neonscience.org/data-samples/data-policies-citationhttps://www.neonscience.org/data-samples/data-policies-citation

    Time period covered
    Jun 2013 - May 2025
    Area covered
    SJER, WOOD, LIRO, JERC, TEAK, UNDE, ABBY, CLBJ, CPER, GUAN
    Description

    Level 1 high-resolution orthorectified camera images are mosaiced and tiled into 1 km by 1 km data sets. Mosiac is output onto a fixed, uniform spatial grid using nearest-neighbor resampling; spatial resolution is at least 0.1 m.

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Environment Agency (2024). Vertical Aerial Photography [Dataset]. https://environment.data.gov.uk/dataset/dae203a8-ba24-4c54-bab0-866b9faadb58

Data from: Vertical Aerial Photography

Related Article
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Dataset updated
Oct 21, 2024
Dataset authored and provided by
Environment Agency
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Description

Vertical aerial photography is an airborne mapping technique, which uses a high-resolution camera mounted vertically underneath the aircraft to capture reflected light in the red, green, blue and for some datasets, near infra-red spectrum. Images of the ground are captured at resolutions between 10cm and 50cm, and ortho-rectified using simultaneous LIDAR and GPS to a high spatial accuracy.

The Environment Agency has been capturing vertical aerial photography data regularly since 2006 on a project by project basis each ranging in coverage from a few square kilometers to hundreds of square kilometers. The data is available as a raster dataset in ECW (enhanced compressed wavelet) format as either a true colour (RGB), near infra-red (NIR) or a 4-band (RGBN) raster. Where imagery has been captured under incident response conditions and the lighting conditions may be sub-optimal this is defined by the prefix IR. The data are presented as tiles in British National Grid OSGB 1936 projections. Data is available in 5km download zip files for each year of survey. Within each zip file are ECW files aligned to the Ordinance Survey grid. The size of each tile is dependent upon the spatial resolution of the data.

Please refer to the metadata index catalgoues for the survey date captured, type of survey and spatial resolution of the imagery.

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