100+ datasets found
  1. G

    High Resolution Satellite Imagery

    • open.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://open.canada.ca/data/en/dataset/0a14b357-8a89-6e98-720e-3a800022cb99
    Explore at:
    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.

  2. 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.
  3. n

    Declassified Satellite Imagery 2 (2002)

    • cmr.earthdata.nasa.gov
    • gimi9.com
    • +4more
    Updated Jan 29, 2016
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    (2016). Declassified Satellite Imagery 2 (2002) [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220567575-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Earth
    Description

    Declassified satellite images provide an important worldwide record of land-surface change. With the success of the first release of classified satellite photography in 1995, images from U.S. military intelligence satellites KH-7 and KH-9 were declassified in accordance with Executive Order 12951 in 2002. The data were originally used for cartographic information and reconnaissance for U.S. intelligence agencies. Since the images could be of historical value for global change research and were no longer critical to national security, the collection was made available to the public.

    Keyhole (KH) satellite systems KH-7 and KH-9 acquired photographs of the Earth’s surface with a telescopic camera system and transported the exposed film through the use of recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications.

    The KH-7 surveillance system was a high resolution imaging system that was operational from July 1963 to June 1967. Approximately 18,000 black-and-white images and 230 color images are available from the 38 missions flown during this program. Key features for this program were larger area of coverage and improved ground resolution. The cameras acquired imagery in continuous lengthwise sweeps of the terrain. KH-7 images are 9 inches wide, vary in length from 4 inches to 500 feet long, and have a resolution of 2 to 4 feet.

    The KH-9 mapping program was operational from March 1973 to October 1980 and was designed to support mapping requirements and exact positioning of geographical points for the military. This was accomplished by using image overlap for stereo coverage and by using a camera system with a reseau grid to correct image distortion. The KH-9 framing cameras produced 9 x 18 inch imagery at a resolution of 20-30 feet. Approximately 29,000 mapping images were acquired from 12 missions.

    The original film sources are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery.

  4. Data from: Satellite Image

    • open.canada.ca
    • ouvert.canada.ca
    pdf
    Updated Mar 14, 2022
    + more versions
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    Natural Resources Canada (2022). Satellite Image [Dataset]. https://open.canada.ca/data/en/dataset/912a9d77-0a3f-5e0c-91f5-197ee5317e9f
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    pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    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

    Description

    The satellite image of Canada is a composite of several individual satellite images form the Advanced Very High Resolution Radiometre (AVHRR) sensor on board various NOAA Satellites. The colours reflect differences in the density of vegetation cover: bright green for dense vegetation in humid southern regions; yellow for semi-arid and for mountainous regions; brown for the north where vegetation cover is very sparse; and white for snow and ice. An inset map shows a satellite image mosaic of North America with 35 land cover classes, based on data from the SPOT satellite VGT (vegetation) sensor.

  5. 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

  6. n

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

    • cmr.earthdata.nasa.gov
    • datasets.ai
    • +4more
    not provided
    Updated May 23, 2023
    + more versions
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    (2023). High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1386246127-NSIDCV0.html
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    not providedAvailable download formats
    Dataset updated
    May 23, 2023
    Time period covered
    Aug 1, 2002 - Aug 2, 2002
    Area covered
    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. Contact NSIDC User Services at nsidc@nsidc.org to order the data, and include an NSF OPP award number in the email.

  7. n

    QuickBird full archive

    • cmr.earthdata.nasa.gov
    • eocat.esa.int
    • +2more
    not provided
    Updated Apr 24, 2025
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    (2025). QuickBird full archive [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1965336934-ESA.html
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    not providedAvailable download formats
    Dataset updated
    Apr 24, 2025
    Time period covered
    Nov 1, 2001 - Mar 31, 2015
    Area covered
    Earth
    Description

    QuickBird high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section.

    In particular, QuickBird offers archive panchromatic products up to 0.60 m GSD resolution and 4-Bands Multispectral products up to 2.4 m GSD resolution.

    Band Combination Data Processing Level Resolution Panchromatic and 4-bands Standard(2A)/View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12,000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm

    4-Bands being an option from:

    4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) Natural Colour / Coloured Infrared (3-Band pan-sharpened) Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique intelligently increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details.

  8. n

    USGS High Resolution Orthoimagery

    • cmr.earthdata.nasa.gov
    • catalog.data.gov
    Updated Jan 29, 2016
    + more versions
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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.

  9. WorldView-2 full archive and tasking

    • earth.esa.int
    • fedeo.ceos.org
    • +2more
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    European Space Agency, WorldView-2 full archive and tasking [Dataset]. https://earth.esa.int/eogateway/catalog/worldview-2-full-archive-and-tasking
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    Dataset authored and provided by
    European Space Agencyhttp://www.esa.int/
    License

    https://earth.esa.int/eogateway/documents/20142/1560778/ESA-Third-Party-Missions-Terms-and-Conditions.pdfhttps://earth.esa.int/eogateway/documents/20142/1560778/ESA-Third-Party-Missions-Terms-and-Conditions.pdf

    Description

    WorldView-2 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-2 offers archive and tasking panchromatic products up to 0.46 m GSD resolution, and 4-Bands/8-Bands Multispectral products up to 1.84 m GSD resolution. Band Combination Data Processing Level Resolution Panchromatic and 4-bands Standard (2A)/View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm 8-bands Standard(2A)/View Ready Standard (OR2A) 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified 30 cm, 40 cm, 50/60 cm 4-Bands being an optional from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1). 8-Bands being an optional from: 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2). Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels, improves the visual clarity and allows to obtain an aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.

  10. D

    Imagery-Satellite-SPOT 2023

    • data.nsw.gov.au
    pdf
    Updated May 21, 2024
    + more versions
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). Imagery-Satellite-SPOT 2023 [Dataset]. https://data.nsw.gov.au/data/dataset/spot-mosaic-nsw-2023a
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    pdfAvailable download formats
    Dataset updated
    May 21, 2024
    Dataset provided by
    NSW Department of Climate Change, Energy, the Environment and Water
    Description

    The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by Geoimage Pty Ltd for NSW Government. The images were captured September 2022 through to March 2023. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through GeoImages Pty Ltd and Airbus Defence and Space.

    SPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health.

    Data products supplied for all of NSW are:

    1. State-wide mosaic

    2. 100k Mapsheet tiles (GDA94 and GDA2020)

    3. Multi spectral scenes (GDA94 and GDA2020)

    4. Pan sharpened scenes (GDA94 and GDA2020)

    5. Panchromatic scenes (GDA94 and GDA2020)

    6. Shapefile cutlines of statewide mosaic

    The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file (456gb in size). Individual 100k mapsheet mosaics contain BGR+NIR band combination; unenhanced 16-bit GeoTIFF format tile.

    The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.

    The 4band 100k mapsheet tiles are available for download from JDAP(pending). The rectified multispectral, pan sharpened and panchromatic scenes are available for download from JDAP (pending)

    Acknowledgement when referencing: includes material © CNES_ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved

    Contact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP

    These image products are only available to other NSW Government agencies upon request.

  11. N

    Nordics Satellite Imagery Services Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 15, 2024
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    Data Insights Market (2024). Nordics Satellite Imagery Services Market Report [Dataset]. https://www.datainsightsmarket.com/reports/nordics-satellite-imagery-services-market-14598
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Nordic countries, Global
    Variables measured
    Market Size
    Description

    The Nordics satellite imagery services market is projected to grow from $0.22 million in 2025 to $0.96 million by 2033, exhibiting a CAGR of 13.62% during the forecast period. The increasing adoption of satellite imagery for various applications, such as geospatial data acquisition and mapping, natural resource management, and surveillance and security, is driving the market growth. Moreover, the expanding construction and transportation & logistics sectors in the region are further boosting the demand for satellite imagery services. Key trends shaping the Nordics satellite imagery services market include:

    Growing adoption of cloud-based platforms and services for satellite imagery processing and analysis: This trend is enabling end-users to access satellite imagery data and services without the need for significant upfront investments in infrastructure. Increasing availability of high-resolution satellite imagery: The launch of new satellites and the development of new image processing technologies are making it possible to obtain high-resolution satellite imagery, which is essential for a variety of applications, such as mapping and land use planning. Emergence of new applications for satellite imagery: Satellite imagery is increasingly being used for a variety of new applications, such as environmental monitoring, disaster management, and precision agriculture. These new applications are creating new opportunities for growth in the Nordics satellite imagery services market. Recent developments include: May 2023 - Business Finland granted EUR 30 million (USD 32.75 million) loan funding for ICEYE's product development project based on innovative new sensor and space technology that will provide real-time and reliable information to support decision-making worldwide. The project aims to create a unique information and software platform, design and develop technology for next-generation satellites, and apply the high-accuracy information from satellites globally for natural catastrophe analysis, modeling, and decision-making., March 2023 - Norway's International Climate and Forest Initiative (NICFI) announced that NICFI's satellite data program is extended until September 2023. Norway's International Climate and Forest Initiative (NICFI) grant free access to high-resolution satellite imagery of the tropics to anyone, anywhere, to monitor tropical deforestation. Through Norway's International Climate & Forests Initiative, users can access the planet's high-resolution, analysis-ready satellite images of the world's tropics to help reduce and combat climate change and reverse the loss of tropical forests.. Key drivers for this market are: Increasing Demand among Various End-user Industries, notablly in Forestry Sector, Adoption of Big Data and Imagery Analytics. Potential restraints include: High Cost of Satellite Imaging Data Acquisition and Processing. Notable trends are: Forestry and Agriculture is Analyzed to Hold Significant Market Share.

  12. D

    Imagery-Satellite-SPOT 2022

    • data.nsw.gov.au
    pdf
    Updated May 21, 2024
    + more versions
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). Imagery-Satellite-SPOT 2022 [Dataset]. https://data.nsw.gov.au/data/dataset/spot-mosaic-nsw-2022a
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    pdfAvailable download formats
    Dataset updated
    May 21, 2024
    Dataset provided by
    NSW Department of Climate Change, Energy, the Environment and Water
    Description

    The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by Geoimage Pty Ltd for NSW Government. The images were captured September 2021 through to March 2022. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through GeoImages Pty Ltd and Airbus Defence and Space.

    SPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health.

    Data products supplied for all of NSW are:

    1. State-wide mosaic

    2. 100k Mapsheet tiles (GDA94 and GDA2020)

    3. Multi spectral scenes (GDA94 and GDA2020)

    4. Pan sharpened scenes (GDA94 and GDA2020)

    5. Panchromatic scenes (GDA94 and GDA2020)

    6. Shapefile cutlines of statewide mosaic

    The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file (456gb in size). Individual 100k mapsheet mosaics contain BGR+NIR band combination; unenhanced 16-bit GeoTIFF format tile.

    The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.

    The 4band 100k mapsheet tiles are available for download from JDAP. The rectified multispectral, pan sharpened and panchromatic scenes are available for download from JDAP (pending)

    Acknowledgement when referencing: includes material © CNES_ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved

    Contact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP

    These image products are only available to other NSW Government agencies upon request.

  13. S

    Land-Use Data Set Based on “Gaofen-1 Satellite” Data

    • scidb.cn
    Updated Dec 2, 2017
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    邹金秋; 中国农业科学院农业资源与农业区划研究所; zoujinqiu@caas.cn。陈佑启; 中国农业科学院农业资源与农业区划研究所; chenyouqi@caas.cn。 (2017). Land-Use Data Set Based on “Gaofen-1 Satellite” Data [Dataset]. http://doi.org/10.11922/sciencedb.538
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 2, 2017
    Dataset provided by
    Science Data Bank
    Authors
    邹金秋; 中国农业科学院农业资源与农业区划研究所; zoujinqiu@caas.cn。陈佑启; 中国农业科学院农业资源与农业区划研究所; chenyouqi@caas.cn。
    License

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

    Description

    "Gaofen-1 satellite" is the first earth observation system with high resolution, launched in April 2013. Its data is mainly used now in the fields of land, agriculture and environment. "Gaofeng-1" has three different resolutions such as 2 meters of panchromatic data, 8 meters and 16 meters of spectral data, combining. The Institute of agricultural resources and regionalization, Chinese academy of agricultural sciences, as the main application unit of the agricultural sector, can obtain relevant data for free and in real time. After the atmospheric and radiation correction, geometric correctionand projection transformation, and on the basis of "status of land use classification standard (GB - T21010-2015)" issued by the ministry of land and resources, for all types of land classification and summary statistics can be obtained through image analysis. At present, the land-use classification and extraction of 2016-2017 of 16 provinces have been preliminarily completed, which has formed a land-use map and statistics based on the administrative region. Comparing with the land-use data obtained by the Institute of Geographic Science and Resources, Chinese academy of sciences based on MODIS data, this data has a higher resolution and a characteristic of more up-to-date, and it can provide better service for all kinds of management and research departments.

  14. d

    Data from: IKONOS-2

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Apr 11, 2025
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    DOI/USGS/EROS (2025). IKONOS-2 [Dataset]. https://catalog.data.gov/dataset/ikonos-2
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    DOI/USGS/EROS
    Description

    Since its launch in September 1999, GeoEye's IKONOS satellite has provided a reliable stream of image data since January 2000, which has become the standard for commercial high-resolution satellite data products. With an altitude of 681 km and a revisit time of approximately 3 days, IKONOS produces one-meter panchromatic and four-meter multispectral imagery that can be combined to accommodate a wide range of high-resolution imagery applications.

  15. Imagery-Satellite-SPOT 2022

    • researchdata.edu.au
    Updated May 20, 2024
    + more versions
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    data.nsw.gov.au (2024). Imagery-Satellite-SPOT 2022 [Dataset]. https://researchdata.edu.au/imagery-satellite-spot-2022/2959381
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    Dataset updated
    May 20, 2024
    Dataset provided by
    Government of New South Waleshttp://nsw.gov.au/
    Area covered
    Description

    The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by Geoimage Pty Ltd for NSW Government. The images were captured September 2021 through to March 2022. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through GeoImages Pty Ltd and Airbus Defence and Space. \r \r SPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health.\r \r Data products supplied for all of NSW are:\r \r 1. State-wide mosaic \r \r 2. 100k Mapsheet tiles (GDA94 and GDA2020)\r \r 3. Multi spectral scenes (GDA94 and GDA2020)\r \r 4. Pan sharpened scenes (GDA94 and GDA2020)\r \r 5. Panchromatic scenes (GDA94 and GDA2020)\r \r 6. Shapefile cutlines of statewide mosaic \r \r \r The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file (456gb in size). Individual 100k mapsheet mosaics contain BGR+NIR band combination; unenhanced 16-bit GeoTIFF format tile.\r \r The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.\r \r The 4band 100k mapsheet tiles are available for download from JDAP.\r The rectified multispectral, pan sharpened and panchromatic scenes are available for download from JDAP (pending)\r \r Acknowledgement when referencing: includes material © CNES_ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved\r \r Contact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP \r \r These image products are only available to other NSW Government agencies upon request.\r

  16. d

    High-Resolution Infrared Enhanced Satellite Cloud Imagery - East Asia

    • data.gov.tw
    json, xml
    Updated Jun 1, 2025
    + more versions
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    Central Weather Administration Ministry of Transportation and Communications (2025). High-Resolution Infrared Enhanced Satellite Cloud Imagery - East Asia [Dataset]. https://data.gov.tw/en/datasets/8350
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    json, xmlAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Central Weather Administration Ministry of Transportation and Communications
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    East Asia, Asia
    Description

    High-resolution satellite cloud imagery *The download URL has been changed since September 15, 2023. Please update it before December 31, 2023, otherwise the old version link will be invalid. If you need to download a large amount of data, please apply for membership on the Meteorological Data Open Platform at https://opendata.cwa.gov.tw/index

  17. WorldView-3 full archive and tasking

    • earth.esa.int
    • fedeo.ceos.org
    • +1more
    Updated Sep 2, 2014
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    European Space Agency (2014). WorldView-3 full archive and tasking [Dataset]. https://earth.esa.int/eogateway/catalog/worldview-3-full-archive-and-tasking
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    Dataset updated
    Sep 2, 2014
    Dataset authored and provided by
    European Space Agencyhttp://www.esa.int/
    License

    https://earth.esa.int/eogateway/documents/20142/1560778/ESA-Third-Party-Missions-Terms-and-Conditions.pdfhttps://earth.esa.int/eogateway/documents/20142/1560778/ESA-Third-Party-Missions-Terms-and-Conditions.pdf

    Description

    WorldView-3 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-3 offers archive and tasking panchromatic products up to 0.31m GSD resolution, 4-Bands/8-Bands products up to 1.24 m GSD resolution, and SWIR products up to 3.70 m GSD resolution. Band Combination Data Processing Level Resolution High Res Optical: Panchromatic and 4-bands Standard(2A)/View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map Ready (Ortho) 1:12.000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm High Res Optical: 8-bands Standard(2A)/View Ready Standard (OR2A) 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map Ready (Ortho) 1:12.000 Orthorectified 30 cm, 40 cm, 50/60 cm High Res Optical: SWIR Standard(2A)/View Ready Standard (OR2A) 3.7 m or 7.5 m (depending on the collection date) Map Ready (Ortho) 1:12.000 Orthorectified 4-Bands being an optional from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) 8-Bands being an optional from: 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.

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

    • nsidc.org
    Updated Aug 1, 2002
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    National Snow and Ice Data Center (2002). High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1 [Dataset]. https://nsidc.org/data/arcss304/versions/1
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    Dataset updated
    Aug 1, 2002
    Dataset authored and provided by
    National Snow and Ice Data Center
    Area covered
    United States, Alaska, Utqiagvik
    Description

    an index map for the 62 QuickBird tiles (ESRI Shapefile format)

  19. D

    Imagery-Satellite-SPOT 2008-2009

    • data.nsw.gov.au
    pdf
    Updated May 21, 2024
    + more versions
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). Imagery-Satellite-SPOT 2008-2009 [Dataset]. https://data.nsw.gov.au/data/dataset/spot-mosaic-nsw-2008-2009-rw
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    pdfAvailable download formats
    Dataset updated
    May 21, 2024
    Dataset provided by
    Department of Climate Change, Energy, the Environment and Water of New South Waleshttps://www.nsw.gov.au/departments-and-agencies/dcceew
    Description

    The NSW SPOT 5 imagery product is a state-wide satellite imagery product provided by the Remote Sensing and Regulatory Mapping team of NSW Government. Capture dates for imagery products for 2008-2009 are;

    • 2008 - October 2007 through to September 2008

    • 2009 - October 2008 through to August 2009

    The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data sets for have been acquired from SPOT Imaging and processed by GeoImage Pty Ltd.

    SPOT imagery products offer high resolution over broad areas using the SPOT 5 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 2.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000.

    Data products supplied for all of NSW are:

    1. State-wide mosaic

    2. Reflectance scenes

    3. Panchromatic scenes

    The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file. The reflectance and panchromatic scenes are available to download from JDAP.

    The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.

    Contact spatial.imagery@environment.nsw.gov.au for further information

    “Includes material © CNES 2008 & 2009, Distribution Astrium Services / Spot Image S.A., France, all rights reserved”

    These image products are only available to other NSW Government agencies upon request.

  20. r

    Data from: Mapping Long Term Changes in Mangrove Cover and Predictions of...

    • researchdata.edu.au
    Updated May 22, 2018
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    Kumar Lalit; Ghosh Manoj; Manoj Kumer Ghosh; Lalit Kumar; Ghosh Manoj; Ghosh Manoj (2018). Mapping Long Term Changes in Mangrove Cover and Predictions of Future Change under Different Climate Change Scenarios in the Sundarbans, Bangladesh [Dataset]. https://researchdata.edu.au/mapping-long-term-sundarbans-bangladesh/1594527
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    Dataset updated
    May 22, 2018
    Dataset provided by
    University of New England, Australia
    Authors
    Kumar Lalit; Ghosh Manoj; Manoj Kumer Ghosh; Lalit Kumar; Ghosh Manoj; Ghosh Manoj
    Area covered
    Bangladesh, Sundarbans
    Description

    Ground-based readings of temperature and rainfall, satellite imagery, aerial photographs, ground verification data and Digital Elevation Model (DEM) were used in this study. Ground-based meteorological information was obtained from Bangladesh Meteorological Department (BMD) for the period 1977 to 2015 and was used to determine the trends of rainfall and temperature in this thesis. Satellite images obtained from the US Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS) website (www.glovis.usgs.gov) in four time periods were analysed to assess the dynamics of mangrove population at species level. Remote sensing techniques, as a solution to lack of spatial data at a relevant scale and difficulty in accessing the mangroves for field survey and also as an alternative to the traditional methods were used in monitoring of the changes in mangrove species composition, . To identify mangrove forests, a number of satellite sensors have been used, including Landsat TM/ETM/OLI, SPOT, CBERS, SIR, ASTER, and IKONOS and Quick Bird. The use of conventional medium-resolution remote sensor data (e.g., Landsat TM, ASTER, SPOT) in the identification of different mangrove species remains a challenging task. In many developing countries, the high cost of acquiring high- resolution satellite imagery excludes its routine use. The free availability of archived images enables the development of useful techniques in its use and therefor Landsat imagery were used in this study for mangrove species classification. Satellite imagery used in this study includes: Landsat Multispectral Scanner (MSS) of 57 m resolution acquired on 1st February 1977, Landsat Thematic Mapper (TM) of 28.5 m resolution acquired on 5th February 1989, Landsat Enhanced Thematic Mapper (ETM+) of 28.5 m resolution acquired on 28th February 2000 and Landsat Operational Land Imager (OLI) of 30 m resolution acquired on 4th February 2015. To study tidal channel dynamics of the study area, aerial photographs from 1974 and 2011, and a satellite image from 2017 were used. Satellite images from 1974 with good spatial resolution of the area were not available, and therefore aerial photographs of comparatively high and fine resolution were considered adequate to obtain information on tidal channel dynamics. Although high-resolution satellite imagery was available for 2011, aerial photographs were used for this study due to their effectiveness in terms of cost and also ease of comparison with the 1974 photographs. The aerial photographs were sourced from the Survey of Bangladesh (SOB). The Sentinel-2 satellite image from 2017 was downloaded from the European Space Agency (ESA) website (https://scihub.copernicus.eu/). In this research, elevation data acts as the main parameter in the determination of the sea level rise (SLR) impacts on the spatial distribution of the future mangrove species of the Bangladesh Sundarbans. High resolution elevation data is essential for this kind of research where every centimeter counts due to the low-lying characteristics of the study area. The high resolution (less than 1m vertical error) DEM data used in this study was obtained from Water Resources Planning Organization (WRPO), Bangladesh. The elevation information used to construct the DEM was originally collected by a Finnish consulting firm known as FINNMAP in 1991 for the Bangladesh government.

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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

High Resolution Satellite Imagery

Explore at:
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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