100+ datasets found
  1. d

    Oregon Statewide Aerial Imagery Download

    • catalog.data.gov
    • data.oregon.gov
    Updated May 17, 2025
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    State of Oregon (2025). Oregon Statewide Aerial Imagery Download [Dataset]. https://catalog.data.gov/dataset/oregon-statewide-aerial-imagery-download
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    Dataset updated
    May 17, 2025
    Dataset provided by
    State of Oregon
    Area covered
    Oregon
    Description

    {{description}}

  2. n

    Latest Orthoimagery

    • nconemap.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Dec 9, 2016
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    NC OneMap / State of North Carolina (2016). Latest Orthoimagery [Dataset]. https://www.nconemap.gov/datasets/c5b316f805ab4d74bf7b598220ac5558
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    Dataset updated
    Dec 9, 2016
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Area covered
    Description

    NOTE: DO NOT DOWNLOAD THE IMAGERY BY USING THE MAP OR DOWNLOAD TOOLS ON THIS ARCGIS HUB ITEM PAGE. IT WILL RESULT IN A PIXELATED ORTHOIMAGE. INSTEAD, DOWNLOAD THE IMAGERY BY TILE OR BY COUNTY MOSAIC (2010 - current year).This service contains the most recent imagery collected by the NC Orthoimagery Program for any given area of North Carolina. The imagery has a pixel resolution of 6 inches with an RMSE of 1.0 ft X and Y. Individual pixel values may have been altered during image processing. Therefore, this service should be used for general reference and viewing. Image analysis requiring examination of individual pixel values is discouraged.

  3. f

    Power Plant Satellite Imagery Dataset

    • figshare.com
    pdf
    Updated May 31, 2023
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    Kyle Bradbury; Benjamin Brigman; Gouttham Chandrasekar; Leslie Collins; Shamikh Hossain; Marc Jeuland; Timothy Johnson; Boning Li; Trishul Nagenalli (2023). Power Plant Satellite Imagery Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.5307364.v1
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Authors
    Kyle Bradbury; Benjamin Brigman; Gouttham Chandrasekar; Leslie Collins; Shamikh Hossain; Marc Jeuland; Timothy Johnson; Boning Li; Trishul Nagenalli
    License

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

    Description

    This dataset contains satellite imagery of 4,454 power plants within the United States. The imagery is provided at two resolutions: 1m (4-band NAIP iamgery with near-infrared) and 30m (Landsat 8, pansharpened to 15m). The NAIP imagery is available for the U.S. and Landsat 8 is available globally. This dataset may be of value for computer vision work, machine learning, as well as energy and environmental analyses.Additionally, annotations of the specific locations of the spatial extent of the power plants in each image is provided. These annotations were collected via the crowdsourcing platform, Amazon Mechanical Turk, using multiple annotators for each image to ensure quality. Links to the sources of the imagery data, the annotation tool, and the team that created the dataset are included in the "References" section.To read more on these data, please refer to the "Power Plant Satellite Imagery Dataset Overview.pdf" file. To download a sample of the data without downloading the entire dataset, download "sample.zip" which includes two sample powerplants and the NAIP, Landsat 8, and binary annotations for each.Note: the NAIP imagery may appear "washed out" when viewed in standard image viewing software because it includes a near-infrared band in addition to the standard RGB data.

  4. i

    Labeled Image Datasets for AI & Computer Vision

    • images.cv
    Updated Apr 26, 2024
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    Images.cv (2024). Labeled Image Datasets for AI & Computer Vision [Dataset]. https://images.cv/
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    Dataset updated
    Apr 26, 2024
    Dataset provided by
    Images.cv
    License

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

    Description

    Explore and download labeled image datasets for AI, ML, and computer vision. Find datasets for object detection, image classification, and image segmentation.

  5. a

    Africa Landsat Imagery

    • africageoportal.com
    • rwanda.africageoportal.com
    • +2more
    Updated Dec 2, 2017
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    Africa GeoPortal (2017). Africa Landsat Imagery [Dataset]. https://www.africageoportal.com/maps/africa::africa-landsat-imagery/about
    Explore at:
    Dataset updated
    Dec 2, 2017
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This map contains a number of world-wide dynamic image services providing access to various Landsat scenes covering the landmass of the World for visual interpretation. Landsat 8 collects new scenes for each location on Earth every 16 days, assuming limited cloud coverage. Newest and near cloud-free scenes are displayed by default on top. Most scenes collected since 1st January 2015 are included. The service also includes scenes from the Global Land Survey* (circa 2010, 2005, 2000, 1990, 1975).The service contains a range of different predefined renderers for Multispectral, Panchromatic as well as Pansharpened scenes. The layers in the service can be time-enabled so that the applications can restrict the displayed scenes to a specific date range. This ArcGIS Server dynamic service can be used in Web Maps and ArcGIS Desktop, Web and Mobile applications using the REST based image services API. Users can also export images, but the exported area is limited to maximum of 2,000 columns x 2,000 rows per request.Data Source: The imagery in these services is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). The data for these services reside on the Landsat Public Datasets hosted on the Amazon Web Service cloud. Users can access full scenes from https://github.com/landsat-pds/landsat_ingestor/wiki/Accessing-Landsat-on-AWS, or alternatively access http://landsatlook.usgs.gov to review and download full scenes from the complete USGS archive.For more information on Landsat 8 images, see http://landsat.usgs.gov/landsat8.php.*The Global Land Survey includes images from Landsat 1 through Landsat 7. Band numbers and band combinations differ from those of Landsat 8, but have been mapped to the most appropriate band as in the above table. For more information about the Global Land Survey, visit http://landsat.usgs.gov/science_GLS.php.For more information on each of the individual layers, see http://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b ; http://www.arcgis.com/home/item.html?id=6b003010cbe64d5d8fd3ce00332593bf ; http://www.arcgis.com/home/item.html?id=a7412d0c33be4de698ad981c8ba471e6

  6. a

    Imagery Download Page 2016

    • jazzyhubs-ontarioregion.opendata.arcgis.com
    • hub.arcgis.com
    • +3more
    Updated Mar 12, 2018
    + more versions
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    City of Peterborough (2018). Imagery Download Page 2016 [Dataset]. https://jazzyhubs-ontarioregion.opendata.arcgis.com/documents/c459ad4674d14c79b508437e647de24a
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    Dataset updated
    Mar 12, 2018
    Dataset authored and provided by
    City of Peterborough
    Area covered
    Description

    Aerial imagery captured in 2016 at 5cm resolution is available for download via this pdf Imagery Download Page. The area extent has been divided into 15 sections. Each section is less than 1Gb in size and consists of approximately 50-60 imagery tiles in MrSID format. Simply click on the section of interest to begin the download from ArcGIS Online. The download will require some time to complete and will vary depending on the size of the download and the download speed available.

  7. O

    Aerial Imagery and Lidar Elevation Download Tile Grid

    • data.ct.gov
    • geodata.ct.gov
    application/rdfxml +5
    Updated Feb 4, 2025
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    UConn (2025). Aerial Imagery and Lidar Elevation Download Tile Grid [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/Aerial-Imagery-and-Lidar-Elevation-Download-Tile-G/kwj2-q499
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    xml, json, application/rdfxml, csv, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Feb 4, 2025
    Dataset authored and provided by
    UConn
    Description

    This feature service is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. The tile grid service is as an index for accessing aerial imagery and lidar elevation data files for Connecticut and is used in the Download Tool.


    There are 23,381 tiles in the grid, each representing a uniform geographic area. Attributes for each tile include file names with hyperlinks leading to zip files of imagery and elevation files for multiple data acquisitions (see list below). The file links provide direct access making it easy for users to retrieve data for specific locations in Connecticut.

    Dataset Information
    Extent: The tile grid has the extent of data acquisitions which cover Connecticut and beyond in some places.
    Date: The tile grid was originally created as part of the 2016 flight which further divided tiles collected in the 2012 flight.

    More Information
    The datasets linked in the table of the tile grid, which are also available in the Download Tool, include
    • 2023 Acquisition - aerial imagery (GeoTIFF, MrSID Gen 3, MrSID Gen 4), DEM elevation (GeoTIFF), lidar point cloud (LAZ)
    • 2019 Acquisition - aerial imagery (GeoTIFF)
    • 2016 Acquisition - aerial imagery (GeoTIFF, MrSID Gen 3, MrSID Gen 4), DEM elevation (GeoTIFF), lidar point cloud (LAS)

    Also see the CT Aerial Imagery page and CT Elevation pages on CT ECO for more information.

    Credit and Funding
    The tile grid with links was created for use in the Download Tool which was part of a project between the CT GIS Office and UConn CLEAR/CT ECO. Each data acquisition had different funders and partners. Please see the acquisition pages for that information.

  8. w

    Statewide NAIP 2017 3ft 4band Imagery

    • geo.wa.gov
    • hub.arcgis.com
    Updated Jan 1, 2017
    + more versions
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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

  9. 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.

  10. Aerial Image Index Web Map

    • arc-garc.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +1more
    Updated Jan 24, 2017
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    Dunwoody ArcGIS Online (2017). Aerial Image Index Web Map [Dataset]. https://arc-garc.opendata.arcgis.com/maps/be29a18e512c4b37b04523b2eb55312d
    Explore at:
    Dataset updated
    Jan 24, 2017
    Dataset provided by
    https://arcgis.com/
    Authors
    Dunwoody ArcGIS Online
    License

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

    Area covered
    Description

    Zoom to desired area, click in the map and click the link to download 2016 Aerial Imagery at 3" resolution of the selected Index Grid. Image downloads are a .zip MrSid file with the .sid and the .sdw. The .sdw contains the georeferencing information for the .sid image.

    Download the entire imagery for Dunwoody here: https://dungis.dunwoodyga.gov/SIDZIP/

    Download / Reference / get a spreadsheet of the Image Index Grid Polygon here: https://get-dunwoody.opendata.arcgis.com/datasets/aerial-image-index-grid-layer

  11. e

    Aerial images Download

    • data.europa.eu
    Updated Dec 7, 2024
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    (2024). Aerial images Download [Dataset]. https://data.europa.eu/data/datasets/836d8acb-84b7-42b7-90ba-a588d623faea
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    Dataset updated
    Dec 7, 2024
    Description

    Aerial image data at 0.15 m, 0.24 m, 0.37 m and 0.48 m resolution, depending on where in the country it is and when the image was photographed. Available as RGB and IR, as well as as 4-channels from 2019. The product is delivered in raster form.

  12. g

    Oregon Statewide Aerial Imagery Download | gimi9.com

    • gimi9.com
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    Oregon Statewide Aerial Imagery Download | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_oregon-statewide-aerial-imagery-download/
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    Area covered
    Oregon
    Description

    🇺🇸 미국

  13. c

    Caribbean Landsat Imagery

    • caribbeangeoportal.com
    Updated Mar 20, 2020
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    Caribbean GeoPortal (2020). Caribbean Landsat Imagery [Dataset]. https://www.caribbeangeoportal.com/maps/0ee1dca67c9744169f8f1c0607923454
    Explore at:
    Dataset updated
    Mar 20, 2020
    Dataset authored and provided by
    Caribbean GeoPortal
    Area covered
    Description

    This map contains a number of world-wide dynamic image services providing access to various Landsat scenes covering the landmass of the World for visual interpretation. Landsat 8 collects new scenes for each location on Earth every 16 days, assuming limited cloud coverage. Newest and near cloud-free scenes are displayed by default on top. Most scenes collected since 1st January 2015 are included. The service also includes scenes from the Global Land Survey* (circa 2010, 2005, 2000, 1990, 1975).The service contains a range of different predefined renderers for Multispectral, Panchromatic as well as Pansharpened scenes. The layers in the service can be time-enabled so that the applications can restrict the displayed scenes to a specific date range. This ArcGIS Server dynamic service can be used in Web Maps and ArcGIS Desktop, Web and Mobile applications using the REST based image services API. Users can also export images, but the exported area is limited to maximum of 2,000 columns x 2,000 rows per request.Data Source: The imagery in these services is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). The data for these services reside on the Landsat Public Datasets hosted on the Amazon Web Service cloud. Users can access full scenes from https://github.com/landsat-pds/landsat_ingestor/wiki/Accessing-Landsat-on-AWS, or alternatively access http://landsatlook.usgs.gov to review and download full scenes from the complete USGS archive.For more information on Landsat 8 images, see http://landsat.usgs.gov/landsat8.php.*The Global Land Survey includes images from Landsat 1 through Landsat 7. Band numbers and band combinations differ from those of Landsat 8, but have been mapped to the most appropriate band as in the above table. For more information about the Global Land Survey, visit http://landsat.usgs.gov/science_GLS.php.For more information on each of the individual layers, see http://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b ; http://www.arcgis.com/home/item.html?id=6b003010cbe64d5d8fd3ce00332593bf ; http://www.arcgis.com/home/item.html?id=a7412d0c33be4de698ad981c8ba471e6

  14. a

    Satellite Maps 3D Scene 2023 - for website

    • noaa.hub.arcgis.com
    Updated Jul 24, 2023
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    NOAA GeoPlatform (2023). Satellite Maps 3D Scene 2023 - for website [Dataset]. https://noaa.hub.arcgis.com/maps/320e766fff7d4b5a8280c86373ee60e0
    Explore at:
    Dataset updated
    Jul 24, 2023
    Dataset authored and provided by
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This application is intended for informational purposes only and is not an operational product. The tool provides the capability to access, view and interact with satellite imagery, and shows the latest view of Earth as it appears from space.For additional imagery from NOAA's GOES East and GOES West satellites, please visit our Imagery and Data page or our cooperative institute partners at CIRA and CIMSS.This website should not be used to support operational observation, forecasting, emergency, or disaster mitigation operations, either public or private. In addition, we do not provide weather forecasts on this site — that is the mission of the National Weather Service. Please contact them for any forecast questions or issues. Using the Maps​What does the Layering Options icon mean?The Layering Options widget provides a list of operational layers and their symbols, and allows you to turn individual layers on and off. The order in which layers appear in this widget corresponds to the layer order in the map. The top layer ‘checked’ will indicate what you are viewing in the map, and you may be unable to view the layers below.Layers with expansion arrows indicate that they contain sublayers or subtypes.Do these maps work on mobile devices and different browsers?Yes!Why are there black stripes / missing data on the map?NOAA Satellite Maps is for informational purposes only and is not an operational product; there are times when data is not available.Why are the North and South Poles dark?The raw satellite data used in these web map apps goes through several processing steps after it has been acquired from space. These steps translate the raw data into geospatial data and imagery projected onto a map. NOAA Satellite Maps uses the Mercator projection to portray the Earth's 3D surface in two dimensions. This Mercator projection does not include data at 80 degrees north and south latitude due to distortion, which is why the poles appear black in these maps. NOAA's polar satellites are a critical resource in acquiring operational data at the poles of the Earth and some of this imagery is available on our website (for example, here ).Why does the imagery load slowly?This map viewer does not load pre-generated web-ready graphics and animations like many satellite imagery apps you may be used to seeing. Instead, it downloads geospatial data from our data servers through a Map Service, and the app in your browser renders the imagery in real-time. Each pixel needs to be rendered and geolocated on the web map for it to load.How can I get the raw data and download the GIS World File for the images I choose?NOAA Satellite Maps offers an interoperable map service to the public. Use the camera tool to select the area of the map you would like to capture and click ‘download GIS WorldFile.’The geospatial data Map Service for the NOAA Satellite Maps GOES satellite imagery is located on our Satellite Maps ArcGIS REST Web Service ( available here ).We support open information sharing and integration through this RESTful Service, which can be used by a multitude of GIS software packages and web map applications (both open and licensed).Data is for display purposes only, and should not be used operationally.Are there any restrictions on using this imagery?NOAA supports an open data policy and we encourage publication of imagery from NOAA Satellite Maps; when doing so, please cite it as "NOAA" and also consider including a permalink (such as this one) to allow others to explore the imagery.For acknowledgment in scientific journals, please use:We acknowledge the use of imagery from the NOAA Satellite Maps application: LINKThis imagery is not copyrighted. You may use this material for educational or informational purposes, including photo collections, textbooks, public exhibits, computer graphical simulations and internet web pages. This general permission extends to personal web pages. About this satellite imageryWhat am I looking at in these maps?What am I seeing in the NOAA Satellite Maps 3D Scene?There are four options to choose from, each depicting a different view of the Earth using the latest satellite imagery available. The first three views show the Western Hemisphere and the Pacific Ocean, as captured by the NOAA GOES East (GOES-16) and GOES West (GOES-17) satellites. These images are updated approximately every 15 minutes as we receive data from the satellites in space. The three views show GeoColor, infrared and water vapor. See our other FAQs to learn more about what the imagery layering options depict.The fourth option is a global view, captured by NOAA’s polar-orbiting satellites (NOAA/NASA Suomi NPP and NOAA-20). The polar satellites circle the globe 14 times a day, taking in one complete view of the Earth in daylight every 24 hours. This composite view is what is projected onto the 3D map scene each morning, so you are seeing how the Earth looked from space one day ago.What am I seeing in the Latest 24 Hrs. GOES Constellation Map?In this map you are seeing the past 24 hours (updated approximately every 15 minutes) of the Western Hemisphere and Pacific Ocean, as seen by the NOAA GOES East (GOES-16) and GOES West (GOES-17) satellites. In this map you can also view three different ‘layers’. The three views show ‘GeoColor’ ‘infrared’ and ‘water vapor’.(Please note: GOES West imagery is currently only available in GeoColor. The infrared and water vapor imagery will be available in Spring 2019.)This maps shows the coverage area of the GOES East and GOES West satellites. GOES East, which orbits the Earth from 75.2 degrees west longitude, provides a continuous view of the Western Hemisphere, from the West Coast of Africa to North and South America. GOES West, which orbits the Earth at 137.2 degrees west longitude, sees western North and South America and the central and eastern Pacific Ocean all the way to New Zealand.What am I seeing in the Global Archive Map?In this map, you will see the whole Earth as captured each day by our polar satellites, based on our multi-year archive of data. This data is provided by NOAA’s polar orbiting satellites (NOAA/NASA Suomi NPP from January 2014 to April 19, 2018 and NOAA-20 from April 20, 2018 to today). The polar satellites circle the globe 14 times a day taking in one complete view of the Earth every 24 hours. This complete view is what is projected onto the flat map scene each morning.What does the GOES GeoColor imagery show?The 'Merged GeoColor’ map shows the coverage area of the GOES East and GOES West satellites and includes the entire Western Hemisphere and most of the Pacific Ocean. This imagery uses a combination of visible and infrared channels and is updated approximately every 15 minutes in real time. GeoColor imagery approximates how the human eye would see Earth from space during daylight hours, and is created by combining several of the spectral channels from the Advanced Baseline Imager (ABI) – the primary instrument on the GOES satellites. The wavelengths of reflected sunlight from the red and blue portions of the spectrum are merged with a simulated green wavelength component, creating RGB (red-green-blue) imagery. At night, infrared imagery shows high clouds as white and low clouds and fog as light blue. The static city lights background basemap is derived from a single composite image from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day Night Band. For example, temporary power outages will not be visible. Learn more.What does the GOES infrared map show?The 'GOES infrared' map displays heat radiating off of clouds and the surface of the Earth and is updated every 15 minutes in near real time. Higher clouds colorized in orange often correspond to more active weather systems. This infrared band is one of 12 channels on the Advanced Baseline Imager, the primary instrument on both the GOES East and West satellites. on the GOES the multiple GOES East ABI sensor’s infrared bands, and is updated every 15 minutes in real time. Infrared satellite imagery can be "colorized" or "color-enhanced" to bring out details in cloud patterns. These color enhancements are useful to meteorologists because they signify “brightness temperatures,” which are approximately the temperature of the radiating body, whether it be a cloud or the Earth’s surface. In this imagery, yellow and orange areas signify taller/colder clouds, which often correlate with more active weather systems. Blue areas are usually “clear sky,” while pale white areas typically indicate low-level clouds. During a hurricane, cloud top temperatures will be higher (and colder), and therefore appear dark red. This imagery is derived from band #13 on the GOES East and GOES West Advanced Baseline Imager.How does infrared satellite imagery work?The infrared (IR) band detects radiation that is emitted by the Earth’s surface, atmosphere and clouds, in the “infrared window” portion of the spectrum. The radiation has a wavelength near 10.3 micrometers, and the term “window” means that it passes through the atmosphere with relatively little absorption by gases such as water vapor. It is useful for estimating the emitting temperature of the Earth’s surface and cloud tops. A major advantage of the IR band is that it can sense energy at night, so this imagery is available 24 hours a day.What do the colors on the infrared map represent?In this imagery, yellow and orange areas signify taller/colder clouds, which often correlate with more active weather systems. Blue areas are clear sky, while pale white areas indicate low-level clouds, or potentially frozen surfaces. Learn more about this weather imagery.What does the GOES water vapor map layer show?The GOES ‘water vapor’ map displays the concentration and location of clouds and water vapor in the atmosphere and shows data from both the GOES East and GOES West satellites. Imagery is updated approximately every 15 minutes in

  15. 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).**

  16. d

    Publicly Available IKONOS-2 Commercial Imagery

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Publicly Available IKONOS-2 Commercial Imagery [Dataset]. https://catalog.data.gov/dataset/publicly-available-ikonos-2-commercial-imagery
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    'The USGS Commercial Data Purchases (UCDP) imagery collection is an archive of commercial remote sensing imagery from several different commercial vendors. The UCDP imagery is located at the Earth Resources Observation & Science (EROS) Center. This collection of imagery supports the Commercial Remote Sensing Space Policy (CRSSP). The overall goal of the UCDP imagery collection is to provide data to qualified users, primarily federal agencies at no cost or at a nominal cost. Limitations on which users have access to use/purchase copies of the imagery are based on vendor licensing for individual images. Users are allowed to search all UCDP imagery in the archive, but are restricted to only ordering properly licensed images. Users have the option to purchase imagery license upgrades for imagery not currently licensed appropriately for their federal agency. The Commercial Remote Sensing Data Contracts (CRSDC), available through the USGS, handles the imagery license upgrades. The imagery license upgrades enable federal users to purchase and use a copy of the imagery at a nominal fee. Copies of the current imagery can be downloaded/purchased from EarthExplorer. Users can not specify processing parameters for the imagery. (e.g. if an IKONOS image was originally purchased from Space Imaging as a "Standard Ortho" product, UTM projection, WGS84 Datum, and GeoTiff format, those are the only parameters available for that image.) Current USGS Commercial Data Purchases (UCDP) imagery includes IKONOS imagery from Space Imaging, QuickBird Imagery from DigitalGlobe and OrbView imagery from ORBIMAGE.'

  17. P

    AID Dataset

    • paperswithcode.com
    Updated Jun 16, 2024
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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.

  18. n

    QuickBird full archive

    • cmr.earthdata.nasa.gov
    • fedeo.ceos.org
    • +1more
    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.

  19. D

    Imagery-Satellite-SPOT 2008-2009

    • data.nsw.gov.au
    pdf
    Updated May 21, 2024
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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. d

    Aerial Photography (Orthophoto) - 2021

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated May 7, 2025
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    D.C. Office of the Chief Technology Officer (2025). Aerial Photography (Orthophoto) - 2021 [Dataset]. https://catalog.data.gov/dataset/aerial-photography-orthophoto-2021
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    Dataset updated
    May 7, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    2021 Orthophoto - 3 inch resolution: This document describes the processes used to create the orthoimagery data produced for the District of Columbia from 2021 digital aerial photography. It was flown on March 11, 2021. The aerial imagery acquisition was flown to support the creation of 4-band digital orthophotography with a 3 inch/0.08 meter pixel resolution over the full project area covering the District of Columbia which is approximately 69 square miles. The contractor received waivers to fly in the Flight Restricted Zone (FRZ) and P-56 areas. The ortho imagery was submitted to DC OCTO in GeoTiff/TFW format tiles following the tile scheme provided by OCTO. MrSID and JPEG2000 compressed mosaics were delivered as well using a 50:1 compression ratio. This dataset provided as an ArcGIS Image service. Please note, the download feature for this image service in Open Data DC provides a compressed PNG, JPEG or TIFF. The compressed MrSID and JPEG2000 mosaic raster datasets are available under additional options when viewing downloads. Requests for the individual GeoTIFF set of images should be sent to open.data@dc.gov.

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State of Oregon (2025). Oregon Statewide Aerial Imagery Download [Dataset]. https://catalog.data.gov/dataset/oregon-statewide-aerial-imagery-download

Oregon Statewide Aerial Imagery Download

Explore at:
Dataset updated
May 17, 2025
Dataset provided by
State of Oregon
Area covered
Oregon
Description

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