100+ datasets found
  1. a

    Aerial Imagery 2013

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    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.

  2. 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.

  3. d

    Data from: Vertical Aerial Photography

    • environment.data.gov.uk
    • gimi9.com
    • +1more
    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.

  4. NZ 10m Satellite Imagery (2021-2022)

    • data.linz.govt.nz
    • geodata.nz
    dwg with geojpeg +8
    Updated Jul 1, 2022
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    Land Information New Zealand (2022). NZ 10m Satellite Imagery (2021-2022) [Dataset]. https://data.linz.govt.nz/layer/109401-nz-10m-satellite-imagery-2021-2022/
    Explore at:
    kml, pdf, geojpeg, jpeg2000, geotiff, jpeg2000 lossless, erdas imagine, kea, dwg with geojpegAvailable download formats
    Dataset updated
    Jul 1, 2022
    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 2021 - April 2022.

    Technical specifications:

    • 450 x ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:50,000 tile layout
    • Satellite sensors: ESA Sentinel-2A and Sentinel-2B
    • Acquisition dates: September 2021 - April 2022
    • 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.

  5. w

    Statewide NAIP 2017 3ft 4band Imagery

    • geo.wa.gov
    • hub.arcgis.com
    Updated Jan 1, 2017
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    Washington State Geospatial Portal (2017). Statewide NAIP 2017 3ft 4band Imagery [Dataset]. https://geo.wa.gov/datasets/785aa8e8876c4b8b9ed54e9816fb02c4
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    Dataset updated
    Jan 1, 2017
    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/Statewide_NAIP_2017_3ft_4band_wsps_83h_img

  6. 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.

  7. d

    Landsat 7 ETM/1G satellite imagery - Hawaiian Islands cloud-free mosaics

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated May 22, 2025
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    (Point of Contact, Custodian) (2025). Landsat 7 ETM/1G satellite imagery - Hawaiian Islands cloud-free mosaics [Dataset]. https://catalog.data.gov/dataset/landsat-7-etm-1g-satellite-imagery-hawaiian-islands-cloud-free-mosaics6
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    Dataset updated
    May 22, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    Hawaiian Islands, Hawaii
    Description

    Cloud-free Landsat satellite imagery mosaics of the islands of the main 8 Hawaiian Islands (Hawaii, Maui, Kahoolawe, Lanai, Molokai, Oahu, Kauai and Niihau). Landsat 7 ETM (enhanced thematic mapper) is a polar orbiting 8 band multispectral satellite-borne sensor. The ETM+ instrument provides image data from eight spectral bands. The spatial resolution is 30 meters for the visible and near-infrared (bands 1-5 and 7). Resolution for the panchromatic (band 8) is 15 meters, and the thermal infrared (band 6) is 60 meters. The approximate scene size is 170 x 183 kilometers (106 x 115 miles). A Nadir-looking system, the sensor has provided continuous coverage since July 1999, with a 16-day repeat cycle. The Level 1G product is radiometrically and geometrically corrected (systematic) to the user-specified parameters including output map projection, image orientation, pixel grid-cell size, and resampling kernel. The correctional gorithms model the spacecraft and sensor using data generated by onboard computers during imaging. Sensor, focal plane, and detector alignment information provided by the Image Assessment System (IAS) in the Calibration Parameter File (CPF) is also used to improve the overall geometric fidelity. The resulting product is free from distortions related to the sensor (e.g., jitter, view angle effect), satellite (e.g., attitude deviations from nominal), and Earth (e.g., rotation, curvature). Residual error in the systematic L1G product is less than 250 meters (1 sigma) inflat areas at sea level. The systematic L1G correction process does not employ ground control or relief models to attain absolute geodetic accuracy.

  8. NZ 10m Satellite Imagery (2019-2020)

    • data.linz.govt.nz
    dwg with geojpeg +8
    Updated Jun 24, 2020
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    Land Information New Zealand (2020). NZ 10m Satellite Imagery (2019-2020) [Dataset]. https://data.linz.govt.nz/layer/104735-nz-10m-satellite-imagery-2019-2020/
    Explore at:
    kea, erdas imagine, kml, geotiff, jpeg2000 lossless, geojpeg, pdf, jpeg2000, dwg with geojpegAvailable download formats
    Dataset updated
    Jun 24, 2020
    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 2019 - April 2020.

    Technical specifications:

    • 450 x ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:50,000 tile layout
    • Satellite sensors: ESA Sentinel-2A and Sentinel-2B
    • Acquisition dates: September 2019 - April 2020
    • 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.

  9. 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).**

  10. 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
    + more versions
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    Tim Battista; Matt Kendall (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
    Tim Battista; Matt Kendall
    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...

  11. Digital Aerial Photo | DATA.GOV.HK

    • data.gov.hk
    Updated Oct 14, 2023
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    data.gov.hk (2023). Digital Aerial Photo | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-landsd-openmap-development-hkms-digital-aerial-photo
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    Dataset updated
    Oct 14, 2023
    Dataset provided by
    data.gov.hk
    Description

    Lands Department captures aerial photographs at various flying heights over different years covering the whole territory of Hong Kong. DAP-L0 is a digital compressed image of these aerial photographs which is saved in 300 dpi image resolution in JPEG format.

  12. P

    AID Dataset

    • paperswithcode.com
    Updated Jun 16, 2024
    + more versions
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    Gui-Song Xia; Jingwen Hu; Fan Hu; Baoguang Shi; Xiang Bai; Yanfei Zhong; Liangpei Zhang (2024). AID Dataset [Dataset]. https://paperswithcode.com/dataset/aid
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    Dataset updated
    Jun 16, 2024
    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.

  13. a

    Massachusetts NAPP - Historic Imagery

    • apfo-usdaonline.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 5, 2017
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    USDA_FPAC-BC (2017). Massachusetts NAPP - Historic Imagery [Dataset]. https://apfo-usdaonline.opendata.arcgis.com/maps/36dfb8c30cfa4754bc4792ebb9fdc29c
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    Dataset updated
    Jan 5, 2017
    Dataset authored and provided by
    USDA_FPAC-BC
    Area covered
    Description

    The National Aerial Photography Program (NAPP) was coordinated by the USGS as an interagency project to acquire cloud-free aerial photographs at an altitude of 20,000 feet above mean terrain elevation. The photographs were taken with a 6-inch focal length lens at a scale of 1:40,000. Coverage over the conterminous United States includes both black-and-white (BW) and color infrared (CIR) aerial photographs. Film type and extent of coverage were determined by available funds and operational requirements. The NAPP program, which was operational from 1987 to 2007, consists of more than 1.3 million images. Photographs were acquired on 9-inch film and were centered over quarters of USGS 7.5-minute quadrangles.To view historical imagery availability by county please visit the Historical Availability of Imagery map.To view more NAPP imagery visit the NAPP Historical Imagery Portfolio app.For ordering information please contact the GEO Customer Service Section at geo.sales@usda.gov.

  14. r

    2020 Aerial Imagery

    • researchdata.edu.au
    • data.melbourne.vic.gov.au
    Updated Apr 10, 2024
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    data.vic.gov.au (2024). 2020 Aerial Imagery [Dataset]. https://researchdata.edu.au/2020-aerial-imagery/2927800
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    Dataset updated
    Apr 10, 2024
    Dataset provided by
    data.vic.gov.au
    Description

    Aerial image (true ortho) mosaic of the City of Melbourne municipal area. The true ortho image has been corrected to provide a true ‘top down’ view of the city, removing building lean and other interference typically found in oblique aerial imagery. The aerial image was captured May 2020 and is available for download in georeferenced format (JPEG2000).

    Capture Information

    - Capture Date: May 2020

    - Capture Pixel Size: 10cm ground sample distance

    - Map Projection: MGA 2020 Zone 55

    – 11 cm absolute accuracy

    Limitations:

    Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.

    Preview Image:

    See an example image showing the data quality of the aerial:


    Download:

    Download the aerial image data as a zipped .jpg2000 file. (45GB)

  15. Orthoimages of Canada, 1999-2003

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    geotif, gml, kmz, pdf +2
    Updated Aug 11, 2021
    + more versions
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    Natural Resources Canada (2021). Orthoimages of Canada, 1999-2003 [Dataset]. https://open.canada.ca/data/en/dataset/560351c7-061f-442f-9539-e38bb453ccbf
    Explore at:
    geotif, wms, shp, pdf, gml, kmzAvailable download formats
    Dataset updated
    Aug 11, 2021
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    License

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

    Time period covered
    Jan 1, 1999 - Jan 1, 2003
    Area covered
    Canada
    Description

    This collection is a legacy product that is no longer supported. It may not meet current government standards. This inventory presents chronologically the satellite images acquired, orthorectified and published over time by Natural Resources Canada. It is composed of imagery from the Landsat7 (1999-2003) and RADARSAT-1 (2001-2002) satellites, as well as the CanImage by-product and the control points used to process the images. Landsat7 Orthorectified Imagery: The orthoimage dataset is a complete set of cloud-free (less than 10%) orthoimages covering the Canadian landmass and created with the most accurate control data available at the time of creation. RADARSAT-1 Orthorectified Imagery: The 5 RADARSAT-1 images (processed and distributed by RADARSAT International (RSI) complete the landsat 7 orthoimagery coverage. They are stored as raster data produced from SAR Standard 7 (S7) beam mode with a pixel size of 15 m. They have been produced in accordance with NAD83 (North American Datum of 1983) using the Universal Transverse Mercator (UTM) projection. RADARSAT-1 orthoimagery were produced with the 1:250 000 Canadian Digital Elevation Data (CDED) and photogrammetric control points generated from the Aerial Survey Data Base (ASDB). CanImage -Landsat7 Orthoimages of Canada,1:50 000: CanImage is a raster image containing information from Landsat7 orthoimages that have been resampled and based on the National Topographic System (NTS) at the 1:50 000 scale in the UTM projection. The product is distributed in datasets in GeoTIFF format. The resolution of this product is 15 metres. Landsat7 Imagery Control Points: the control points were used for the geometric correction of Landsat7 satellite imagery. They can also be used to correct vector data and for simultaneously displaying data from several sources prepared at different scales or resolutions.

  16. Landsat 8 Satellite Imagery Collection 1 - Papua New Guinea

    • png-data.sprep.org
    • pacific-data.sprep.org
    zip
    Updated Feb 15, 2022
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    United States Geological Survey and National Aeronautics and Space Administration (2022). Landsat 8 Satellite Imagery Collection 1 - Papua New Guinea [Dataset]. https://png-data.sprep.org/dataset/landsat-8-satellite-imagery-collection-1-papua-new-guinea
    Explore at:
    zip(5852463504)Available download formats
    Dataset updated
    Feb 15, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    Authors
    United States Geological Survey and National Aeronautics and Space Administration
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    140.7396697998 -6.4408592866477, 156.3842010498 -6.0913976976422, 155.1976776123 -11.775947798478, 146.4965057373 -1.4884800029826, 155.0658416748 -9.3569327887185, 153.3959197998 -2.9375549775994, 154.7142791748 -2.6303012095641, 149.3968963623 -0.8733792609738, 142.3656463623 -10.093262015308)), 142.6732635498 -1.2248822742251, Papua New Guinea
    Description

    Since 1972, the joint NASA/ U.S. Geological Survey Landsat series of Earth Observation satellites have continuously acquired images of the Earth’s land surface, providing uninterrupted data to help land managers and policymakers make informed decisions about natural resources and the environment.

    Landsat is a part of the USGS National Land Imaging (NLI) Program. To support analysis of the Landsat long-term data record that began in 1972, the USGS. Landsat data archive was reorganized into a formal tiered data collection structure. This structure ensures all Landsat Level 1 products provide a consistent archive of known data quality to support time-series analysis and data “stacking”, while controlling continuous improvement of the archive, and access to all data as they are acquired. Collection 1 Level 1 processing began in August 2016 and continued until all archived data was processed, completing May 2018. Newly-acquired Landsat 8 and Landsat 7 data continue to be processed into Collection 1 shortly after data is downlinked to USGS EROS.

    Acknowledgement or credit of the USGS as data source should be provided by including a line of text citation such as the example shown below. (Product, Image, Photograph, or Dataset Name) courtesy of the U.S. Geological Survey Example: Landsat-8 image courtesy of the U.S. Geological Survey

  17. LINZ Aerial Imagery Basemap - Web Mercator

    • anrgeodata.vermont.gov
    • opendata.rcmrd.org
    Updated Jun 10, 2021
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    Land Information New Zealand (2021). LINZ Aerial Imagery Basemap - Web Mercator [Dataset]. https://anrgeodata.vermont.gov/maps/850d6096d89b48228a0638842fa3801c
    Explore at:
    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.

  18. d

    CORONA Satellite Photography

    • catalog.data.gov
    • gimi9.com
    • +5more
    Updated Apr 10, 2025
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    DOI/USGS/EROS (2025). CORONA Satellite Photography [Dataset]. https://catalog.data.gov/dataset/corona-satellite-photography
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    DOI/USGS/EROS
    Description

    On February 24, 1995, President Clinton signed an Executive Order, directing the declassification of intelligence imagery acquired by the first generation of United States photo-reconnaissance satellites, including the systems code-named CORONA, ARGON, and LANYARD. More than 860,000 images of the Earth's surface, collected between 1960 and 1972, were declassified with the issuance of this Executive Order. Image collection was driven, in part, by the need to confirm purported developments in then-Soviet strategic missile capabilities. The images also were used to produce maps and charts for the Department of Defense and for other Federal Government mapping programs. In addition to the images, documents and reports (collateral information) are available, pertaining to frame ephemeris data, orbital ephemeris data, and mission performance. Document availability varies by mission; documentation was not produced for unsuccessful missions.

  19. Historical Aerial Photography Information Hub

    • researchdata.edu.au
    • ecat.ga.gov.au
    Updated May 8, 2025
    + more versions
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    Geoscience Australia (2025). Historical Aerial Photography Information Hub [Dataset]. https://researchdata.edu.au/historical-aerial-photography-information-hub/3403674
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    Dataset updated
    May 8, 2025
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

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

    http://creativecommons.org/licenses/http://creativecommons.org/licenses/

    Time period covered
    Jan 1, 1928 - Dec 31, 1996
    Area covered
    Description

    This Hub contains information, resources and discovery of Commonwealth Historical Aerial Photography across Australia. Geoscience Australia has developed the Historical Aerial Photography (HAP) collection in an online data delivery system. Using the application, uses can search and download the commonwealth photography collection for free. The hub demonstrates the breadth of the collection and showcases the efforts in collecting and curating an extensive physical collection of film and documents.

    Geoscience Australia has the most extensive historical aerial photography collection in terms of land coverage and time (from 1928-1996). This online catalogue provides means of easy search of the collection records. The mapping system allows users to understand what information is available and, if digitised, to preview and download the image data.

    The application contains a map which users can search areas, current location or an area of interest, as well as customize the search criteria (date range, film number etc). The search results list the available aerial photography or flight line diagram, and if is available for direct download for free.

  20. 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.

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Florida Department of Environmental Protection (2014). Aerial Imagery 2013 [Dataset]. https://hub.arcgis.com/datasets/78a04581786d451ab9b0fe162bb86196

Aerial Imagery 2013

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18 scholarly articles cite this dataset (View in Google Scholar)
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.

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