100+ datasets found
  1. d

    USGS High Resolution Orthoimagery

    • catalog.data.gov
    • cmr.earthdata.nasa.gov
    Updated Apr 11, 2025
    + more versions
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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.

  2. High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska,...

    • data.nasa.gov
    • datasets.ai
    • +4more
    Updated Mar 31, 2025
    + more versions
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    nasa.gov (2025). High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1 [Dataset]. https://data.nasa.gov/dataset/high-resolution-quickbird-imagery-and-related-gis-layers-for-barrow-alaska-usa-version-1
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Utqiagvik, Alaska, United States
    Description

    This data set contains high-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area (156.15° W - 157.07° W, 71.15° N - 71.41° N) and Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitalGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats. Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format). Unmodified QuickBird data comprise 62 data tiles in Universal Transverse Mercator (UTM) Zone 4 in GeoTIFF format. Standard release files describing the QuickBird data are included, along with the DigitalGlobe license agreement and product handbooks. The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are provided on four DVDs. This product is available only to investigators funded specifically from the National Science Foundation (NSF), Office of Polar Programs (OPP), Arctic Sciences Section. An NSF OPP award number must be provided when ordering this data.

  3. AK RGB High Resolution Imagery (50cm)

    • statewide-geoportal-1-soa-dnr.hub.arcgis.com
    • gis.data.alaska.gov
    Updated Jan 22, 2021
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    Alaska Department of Natural Resources ArcGIS Online (2021). AK RGB High Resolution Imagery (50cm) [Dataset]. https://statewide-geoportal-1-soa-dnr.hub.arcgis.com/maps/13dd1ccf165845eea5db36465e7d565c
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    Dataset updated
    Jan 22, 2021
    Dataset provided by
    Authors
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    Suggested use: Use tiled Map Service for large scale mapping when high resolution color imagery is needed.A web app to view tile and block metadata such as year, sensor, and cloud cover can be found here. CoverageState of AlaskaProduct TypeTile CacheImage BandsRGBSpatial Resolution50cmAccuracy5m CE90 or betterCloud Cover<10% overallOff Nadir Angle<30 degreesSun Elevation>30 degreesWMS version of this data: https://geoportal.alaska.gov/arcgis/services/ahri_2020_rgb_cache/MapServer/WMSServer?request=GetCapabilities&service=WMSWMTS version of this data:https://geoportal.alaska.gov/arcgis/rest/services/ahri_2020_rgb_cache/MapServer/WMTS/1.0.0/WMTSCapabilities.xml

  4. i

    Data from: GAZADeepDAV: A High Resolution Geotagged Satellite Imagery...

    • ieee-dataport.org
    Updated Oct 9, 2024
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    Marwen Bouabid (2024). GAZADeepDAV: A High Resolution Geotagged Satellite Imagery Dataset for Analyzing War-Induced Damage [Dataset]. https://ieee-dataport.org/documents/gazadeepdav-high-resolution-geotagged-satellite-imagery-dataset-analyzing-war-induced
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    Dataset updated
    Oct 9, 2024
    Authors
    Marwen Bouabid
    License

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

    Description

    validation

  5. G

    High Resolution Satellite Imagery

    • ouvert.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    esri rest, html
    Updated Jan 9, 2025
    + more versions
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    Government of Yukon (2025). High Resolution Satellite Imagery [Dataset]. https://ouvert.canada.ca/data/dataset/0a14b357-8a89-6e98-720e-3a800022cb99
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    esri rest, htmlAvailable 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.

  6. The WorldStrat Dataset: Open High-Resolution Satellite Imagery With Paired...

    • zenodo.org
    application/gzip, csv +2
    Updated Jul 16, 2024
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    Julien Cornebise; Julien Cornebise; Ivan Oršolić; Ivan Oršolić; Freddie Kalaitzis; Freddie Kalaitzis (2024). The WorldStrat Dataset: Open High-Resolution Satellite Imagery With Paired Multi-Temporal Low-Resolution [Dataset]. http://doi.org/10.5281/zenodo.6810792
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    csv, application/gzip, txt, pdfAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Julien Cornebise; Julien Cornebise; Ivan Oršolić; Ivan Oršolić; Freddie Kalaitzis; Freddie Kalaitzis
    Description

    What is this dataset?

    Nearly 10,000 km² of free high-resolution and matched low-resolution satellite imagery of unique locations which ensure stratified representation of all types of land-use across the world: from agriculture to ice caps, from forests to multiple urbanization densities.

    Those locations are also enriched with typically under-represented locations in ML datasets: sites of humanitarian interest, illegal mining sites, and settlements of persons at risk.

    Each high-resolution image (1.5 m/pixel) comes with multiple temporally-matched low-resolution images from the freely accessible lower-resolution Sentinel-2 satellites (10 m/pixel).

    We accompany this dataset with a paper, datasheet for datasets and an open-source Python package to: rebuild or extend the WorldStrat dataset, train and infer baseline algorithms, and learn with abundant tutorials, all compatible with the popular EO-learn toolbox.

    Why make this?

    We hope to foster broad-spectrum applications of ML to satellite imagery, and possibly develop the same power of analysis allowed by costly private high-resolution imagery from free public low-resolution Sentinel2 imagery. We illustrate this specific point by training and releasing several highly compute-efficient baselines on the task of Multi-Frame Super-Resolution.

    Licences

    • The high-resolution Airbus imagery is distributed, with authorization from Airbus, under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
    • The labels, Sentinel2 imagery, and trained weights are released under Creative Commons with Attribution 4.0 International (CC BY 4.0).
    • The source code (will be shortly released on GitHub) under 3-Clause BSD license.
  7. MSG: High resolution visible imagery over the UK

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated Jul 18, 2025
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    NERC EDS Centre for Environmental Data Analysis (2025). MSG: High resolution visible imagery over the UK [Dataset]. https://catalogue.ceda.ac.uk/uuid/d9935bb3ebc54939bd3cc4ee05d88892
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    License

    https://artefacts.ceda.ac.uk/licences/specific_licences/msg.pdfhttps://artefacts.ceda.ac.uk/licences/specific_licences/msg.pdf

    Area covered
    Variables measured
    Visible Imagery, http://vocab.ndg.nerc.ac.uk/term/P141/4/GVAR0925
    Description

    The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas.

    This dataset contains high resolution visible images from MSG satellites over the UK area. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old.

    The geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).

  8. d

    High Resolution Orthoimagery Collection – Historical

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). High Resolution Orthoimagery Collection – Historical [Dataset]. https://catalog.data.gov/dataset/high-resolution-orthoimagery-orthorectified-metro-areas-2000-2016
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    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, color infrared, or color near infrared (4-band) 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. World Imagery

    • hurricane-tx-arcgisforem.hub.arcgis.com
    • esriaustraliahub.com.au
    • +5more
    Updated Dec 13, 2009
    + more versions
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    Esri (2009). World Imagery [Dataset]. https://hurricane-tx-arcgisforem.hub.arcgis.com/maps/esri::world-imagery/about?layer=1
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    Dataset updated
    Dec 13, 2009
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources: Worldwide 15-m resolution TerraColor imagery at small and medium map scales.Maxar imagery basemap products around the world: Vivid Premium at 15-cm HD resolution for select metropolitan areas, Vivid Advanced 30-cm HD for more than 1,000 metropolitan areas, and Vivid Standard from 1.2-m to 0.6-cm resolution for the most of the world, with 30-cm HD across the United States and parts of Western Europe. More information on the Maxar products is included below. High-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 30-cm to 3-cm resolution. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. Maxar Basemap ProductsVivid PremiumProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.Vivid AdvancedProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.Vivid StandardProvides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD. More on Maxar HD. Imagery UpdatesYou can use the Updates Mode in the World Imagery Wayback app to learn more about recent and pending updates. Accessing this information requires a user login with an ArcGIS organizational account. CitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map.UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map.FeedbackHave you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

  10. 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 - Jun 2025
    Area covered
    WOOD, SJER, LIRO, UNDE, ABBY, CLBJ, JERC, CPER, GUAN, TEAK
    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.

  11. a

    World Imagery - ESRI

    • hub.arcgis.com
    • fesec-cesj.opendata.arcgis.com
    Updated Feb 14, 2019
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    Centre d'enseignement Saint-Joseph de Chimay (2019). World Imagery - ESRI [Dataset]. https://hub.arcgis.com/maps/CESJ::world-imagery-esri/about
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    Dataset updated
    Feb 14, 2019
    Dataset authored and provided by
    Centre d'enseignement Saint-Joseph de Chimay
    Area covered
    World,
    Description

    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. The map features 0.5m resolution imagery in the continental United States and parts of Western Europe from DigitalGlobe. Additional DigitalGlobe sub-meter imagery is featured in many parts of the world. In the United States, 1 meter or better resolution NAIP imagery is available in some areas. In other parts of the world, imagery at different resolutions has been contributed by the GIS User Community. In select communities, very high resolution imagery (down to 0.03m) is available down to ~1:280 scale. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. View the list of Contributors for the World Imagery Map.CoverageView the links below to learn more about recent updates and map coverage:What's new in World ImageryWorld coverage mapCitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map.UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map. A similar raster web map, Imagery with Labels, is also available.FeedbackHave you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

  12. Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite...

    • catalog.data.gov
    • datasets.ai
    Updated Mar 14, 2022
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    U.S. EPA Office of Research and Development (ORD) (2022). Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery [Dataset]. https://catalog.data.gov/dataset/vertical-artifacts-in-high-resolution-worldview-2-and-worldview-3-satellite-imagery
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    Dataset updated
    Mar 14, 2022
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Satellite sensor artifacts can negatively impact the interpretation of satellite data. One such artifact is linear features in imagery which can be caused by a variety of sensor issues and can present as either wide, consistent features called banding, or as narrow, inconsistent features called striping. This study used high-resolution data from DigitalGlobe's WorldView-3 satellite collected at Lake Okeechobee, Florida, on 30 August 2017. Primarily designed as a land sensor, this study investigated the impact of vertical artifacts on both at-sensor radiance and a spectral index for an aquatic target. This dataset is not publicly accessible because: NGA Nextview license agreements prohibit the distribution of original data files from WorldView due to copyright. It can be accessed through the following means: National Geospatial Intelligence Agency contract details prevent distribution of Maxar data. Questions regarding Nextvew can be sent so NGANextView_License@nga.mil. Questions regarding the NASA Commercial Data Buy can be sent to yvonne.ivey@nasa.gov. Format: high-resolution data from DigitalGlobe's WorldView-3 satellite. This dataset is associated with the following publication: Coffer, M., P. Whitman, B. Schaeffer, V. Hill, R. Zimmerman, W. Salls, M. Lebrasse, and D. Graybill. Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems. INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 43(4): 1199-1225, (2022).

  13. USGS High Resolution Orthoimagery - Dataset - NASA Open Data Portal

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    Updated Mar 31, 2025
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    nasa.gov (2025). USGS High Resolution Orthoimagery - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/usgs-high-resolution-orthoimagery
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.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.

  14. d

    USGS Imagery Only Base Map Service from The National Map.

    • datadiscoverystudio.org
    • cloud.csiss.gmu.edu
    • +1more
    xml
    Updated Feb 8, 2018
    + more versions
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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.

  15. AK CIR High Resolution Imagery (50cm)

    • gis.data.alaska.gov
    Updated Sep 8, 2021
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    Alaska Department of Natural Resources ArcGIS Online (2021). AK CIR High Resolution Imagery (50cm) [Dataset]. https://gis.data.alaska.gov/maps/dc463942f08a40158ccbb75165aa0780
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    Dataset updated
    Sep 8, 2021
    Dataset provided by
    Authors
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    Suggested use: Use this basemap for large scale mapping when high resolution color infrared imagery is needed.A web app to view tile and block metadata such as year, sensor, and cloud cover can be found here. CoverageState of AlaskaProduct TypeTile Cache Level 19Image BandsCIRSpatial Resolution50cm or betterAccuracy5m CE90 or betterCloud Cover<10% overallOff Nadir Angle<30 degreesSun Elevation>30 degreesWMS version of this data: https://geoportal.alaska.gov/arcgis/services/ahri_2020_cir_cache/MapServer/WMSServer?request=GetCapabilities&service=WMSWMTS version of this data:https://geoportal.alaska.gov/arcgis/rest/services/ahri_2020_cir_cache/MapServer/WMTS/1.0.0/WMTSCapabilities.xml

  16. a

    High Resolution 30cm Imagery

    • hub.arcgis.com
    Updated Dec 3, 2018
    + more versions
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    Technical Consulting (2018). High Resolution 30cm Imagery [Dataset]. https://hub.arcgis.com/datasets/esprd::high-resolution-30cm-imagery/explore?showTable=true
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    Dataset updated
    Dec 3, 2018
    Dataset authored and provided by
    Technical Consulting
    Area covered
    Description

    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 (591M down to 72k) and 2.5m SPOT Imagery (288k to 72k) for the world, and USGS 15m Landsat imagery for Antarctica. The map features 0.3m resolution imagery in the continental United States and 0.6m resolution imagery in parts of Western Europe from Digital Globe. Recent 1m USDA NAIP imagery is available in select states of the US. In other parts of the world, 1 meter resolution imagery is available from GeoEye IKONOS, AeroGRID, and IGN Spain. Additionally, imagery at different resolutions has been contributed by the GIS User Community. For more information on this map, including the terms of use, visit us online at https://goto.arcgisonline.com/tiledbasemaps/World_Imagery

  17. U

    Data release for Applying high-resolution imagery to evaluate...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Jun 9, 2018
    + more versions
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    Vanderhoof Melanie K; Burt Clifton M (2018). Data release for Applying high-resolution imagery to evaluate restoration-induced changes in stream condition, Missouri River Headwaters Basin, Montana [Dataset]. http://doi.org/10.5066/P9F9618G
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    Dataset updated
    Jun 9, 2018
    Dataset provided by
    United States Geological Survey
    Authors
    Vanderhoof Melanie K; Burt Clifton M
    License

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

    Time period covered
    Jun 23, 2014 - Aug 2, 2017
    Area covered
    Basin, Missouri River, Montana
    Description

    Degradation of streams and associated riparian habitat across the Missouri River Headwaters Basin has motivated several stream restoration projects across the watershed. Many of these projects install a series of beaver dam analogues (BDAs) to aggrade incised streams, elevate local water tables, and create natural surface water storage by reconnecting streams with their floodplains. Satellite imagery can provide a spatially continuous mechanism to monitor the effects of these in-stream structures on stream surface area. However, remote sensing-based approaches to map narrow (e.g., <5 m wide) linear features such as streams have been under-developed relative to efforts to map other types of aquatic systems, such as wetlands or lakes. We mapped pre- and post-restoration (one to three years post-restoration) stream surface area and riparian greenness at four stream restoration sites using Worldview-2 and 3 images as well as a QuickBird-2 image. We found that panchromatic brightness and ...

  18. Hurricane Wilma Aerial Photography: High-Resolution Imagery of the Florida...

    • datasets.ai
    • fisheries.noaa.gov
    • +1more
    0, 33
    Updated Sep 10, 2024
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    National Oceanic and Atmospheric Administration, Department of Commerce (2024). Hurricane Wilma Aerial Photography: High-Resolution Imagery of the Florida Coast After Landfall [Dataset]. https://datasets.ai/datasets/hurricane-wilma-aerial-photography-high-resolution-imagery-of-the-florida-coast-after-landfall
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    0, 33Available download formats
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    National Oceanic and Atmospheric Administration, Department of Commerce
    Area covered
    Florida
    Description

    The imagery posted on this site is of the Florida coast after Hurricane Wilma made landfall. The regions photographed range from Key West to Sixmile Bend, Florida. The aerial photograph missions were conducted by the NOAA Remote Sensing Division the day after Wilma made landfall, October 25 and concluded October 27. The images were acquired from an altitude of 7,500 feet, using an Emerge/Applanix Digital Sensor System (DSS). Over 1000 aerial images were obtained during this time period, with most available to view online and download.

  19. s

    World Imagery - Dataset - Portal Satu Data Indonesia

    • katalog.satudata.go.id
    Updated Jan 23, 2025
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    (2025). World Imagery - Dataset - Portal Satu Data Indonesia [Dataset]. https://katalog.satudata.go.id/dataset/world-imagery
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    Dataset updated
    Jan 23, 2025
    Area covered
    World
    Description

    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 ~1:288k) for the world. The map features Maxar imagery at 0.3m resolution for select metropolitan areas around the world, 0.5m resolution across the United States and parts of Western Europe, and 1m resolution imagery across the rest of the world. In addition to commercial sources, the World Imagery map features high-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 0.3m to 0.03m resolution (down to ~1:280 in select communities). For more information on this map, including the terms of use, visit us online at http://goto.arcgisonline.com/maps/World_Imagery

  20. Data from: Site-specific management of cotton root rot using airborne and...

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    Updated Apr 21, 2025
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    Agricultural Research Service (2025). Data from: Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology [Dataset]. https://catalog.data.gov/dataset/data-from-site-specific-management-of-cotton-root-rot-using-airborne-and-high-resolution-s-9a191
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Servicehttps://www.ars.usda.gov/
    Description

    Cotton root rot is a century-old cotton disease that now can be effectively controlled with Topguard Terra fungicide. Because this disease tends to occur in the same general areas within fields in recurring years, site-specific application of the fungicide only to infested areas can be as effective as and considerably more economical than uniform application. The overall objective of this research was to demonstrate how site-specific fungicide application could be implemented based on historical remote sensing imagery and using variable-rate technology. Procedures were developed for creating binary prescription maps from historical airborne and high-resolution satellite imagery. Two different variable-rate liquid control systems were adapted to two existing cotton planters, respectively, for site-specific fungicide application at planting. One system was used for site-specific application on multiple fields in 2015 and 2016 near Edroy, Texas, and the other system was used on multiple fields in both years near San Angelo, Texas. Airborne multispectral imagery taken during the two growing seasons was used to monitor the performance of the site-specific treatments. Results based on prescription maps derived from historical airborne and satellite imagery of two fields in 2015 and one field in 2016 are reported in this article. Two years of field experiments showed that the prescription maps and the variable-rate systems performed well and that site-specific fungicide treatments effectively controlled cotton root rot. Reduction in fungicide use was 41%, 43%, and 63% for the three fields, respectively. The methodologies and results of this research will provide cotton growers, crop consultants, and agricultural dealers with practical guidelines for implementing site-specific fungicide application using historical imagery and variable-rate technology for effective management of cotton root rot. Resources in this dataset: Resource Title: A ground picture of cotton root rot File Name: IMG_0124.JPG Resource Description: A cotton root rot-infested area in a cotton field near Edroy, TX. Resource Title: An aerial image of a cotton field File Name: Color-infrared image of a field.jpg Resource Description: Aerial color-infrared (CIR) image of a cotton field infested with cotton root rot. Resource Title: As-applied fungicide application data File Name: Jim Ermis-Farm 1-Field 11 Fungicide Application.csv Resource Description: As-applied fungicide application rates for variable rate application of Topguard to a cotton field infested with cotton rot

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DOI/USGS/EROS (2025). USGS High Resolution Orthoimagery [Dataset]. https://catalog.data.gov/dataset/usgs-high-resolution-orthoimagery

USGS High Resolution Orthoimagery

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43 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

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.

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