95 datasets found
  1. g

    Geospatial Ontario Imagery Data Services

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    Updated Aug 23, 2022
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    Land Information Ontario (2022). Geospatial Ontario Imagery Data Services [Dataset]. https://geohub.lio.gov.on.ca/maps/ff68b90cc7ae4168b7c8d10b87d10d2d
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    Dataset updated
    Aug 23, 2022
    Dataset authored and provided by
    Land Information Ontario
    Area covered
    Description

    Mosaics are published as ArcGIS image serviceswhich circumvent the need to download or order data. GEO-IDS image services are different from standard web services as they provide access to the raw imagery data. This enhances user experiences by allowing for user driven dynamic area of interest image display enhancement, raw data querying through tools such as the ArcPro information tool, full geospatial analysis, and automation through scripting tools such as ArcPy.Image services are best accessed through the ArcGIS REST APIand REST endpoints (URL's). You can copy the OPS ArcGIS REST API link below into a web browser to gain access to a directory containing all OPS image services. Individual services can be added into ArcPro for display and analysis by using Add Data -> Add Data From Path and copying one of the image service ArcGIS REST endpoint below into the resultant text box. They can also be accessed by setting up an ArcGIS server connectionin ESRI software using the ArcGIS Image Server REST endpoint/URL. Services can also be accessed in open-source software. For example, in QGIS you can right click on the type of service you want to add in the browser pane (e.g., ArcGIS REST Server, WCS, WMS/WMTS) and copy and paste the appropriate URL below into the resultant popup window. All services are in Web Mercator projection.For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.caAvailable Products:ArcGIS REST APIhttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/Image Service ArcGIS REST endpoint / URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServerhttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServerWeb Coverage Services (WCS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WCSServer/Web Mapping Service (WMS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WMSServer/Metadata for all imagery products available in GEO-IDS can be accessed at the links below:South Central Ontario Orthophotography Project (SCOOP) 2023North-Western Ontario Orthophotography Project (NWOOP) 2022Central Ontario Orthophotography Project (COOP) 2021South-Western Ontario Orthophotography Project (SWOOP) 2020Digital Raster Acquisition Project Eastern Ontario (DRAPE) 2019-2020South Central Ontario Orthophotography Project (SCOOP) 2018North-Western Ontario Orthophotography Project (NWOOP) 2017Central Ontario Orthophotography Project (COOP) 2016South-Western Ontario Orthophotography Project (SWOOP) 2015Algonquin Orthophotography Project (2015)Additional Documentation:Ontario Web Raster Services User Guide (Word)Status:Completed: Production of the data has been completed Maintenance and Update Frequency:Annually: Data is updated every yearContact:Geospatial Ontario (GEO), geospatial@ontario.ca

  2. a

    Montana NAIP 2013

    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    Updated Jan 1, 2014
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    Montana Geographic Information (2014). Montana NAIP 2013 [Dataset]. https://montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com/datasets/montana::montana-naip-2013-1/about
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    Dataset updated
    Jan 1, 2014
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Description

    This is an ArcGIS Server Image Service of the 4-band 2013 National Agricultural Imagery Program (NAIP) orthorectified digital aerial photos of Montana. The web services available include: ArcGIS Server Image services, Open Geospatial Consortium, Inc. (OGC) web coverage services (WCS), and OGC web map services (WMS). The image and web coverage services provide users direct access to the native GeoTIFF files and pixel data for geoprocessing and image analysis. Imagery defaults to natural color. To view the imagery as false-color infrared (CIR), select band 4 as the red image, band 1 as the green, and band 2 as the blue. The service is available in Open GIS Consortium (OGC) formats: WCS: https://gisservicemt.gov/arcgis/rest/services/MSDI_Framework/NAIP_2013/ImageServer/WCSServer WMS: https://gisservicemt.gov/arcgis/rest/services/MSDI_Framework/NAIP_2013/ImageServer/WMSServer The data are also available from the State Library in three different formats: They are downloadable as a collection of 698 compressed natural-color MrSID images, each 24 kilometers square. These images are in Montana State Plane coordinates, units meters. The web map for accessing these images is https://montana.maps.arcgis.com/home/webmap/viewer.html?webmap=6564af20b08f4d29b61a5692ee001a2c They are downloadable as a collection of 56 compressed county mosaic (CCM) natural color MrSID images. These data are in UTM coordinates. The FTP folder containing these images is https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Imagery/2013_NAIP/UTM_County_Mosaics. They are available from the State Library as a collection 11,776 4-band (near infrared, red, green and blue) TIFF images in UTM coordinates. Each image is about 170 megabytes. The tiling format of the TIFF imagery is based on 3.75 x 3.75 minute quarter-quadrangles with a 300 pixel buffer on all four sides. An ESRI shapefile index showing the dates and times the images were acquired is available at: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Imagery/2013_NAIP/NAIP_2013_Dates.zip. An ESRI shapefile index showing the extent of the individual TIFF image files is available at: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Imagery/2013_NAIP/NAIP_2013_tiff_index.zip. To order TIFF images from the State Library, select the quadrangles you want from the tiff index shapefile and send them to the Library, along with a storage device of sufficient size to hold them and return postage for the device.

  3. a

    Maryland Historic NAIP Imagery - 2009

    • hub.arcgis.com
    • data.imap.maryland.gov
    Updated Jan 7, 2019
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    ArcGIS Online for Maryland (2019). Maryland Historic NAIP Imagery - 2009 [Dataset]. https://hub.arcgis.com/datasets/f3bd0147b4024acea815a8ec0d2bfc4d
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    Dataset updated
    Jan 7, 2019
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States. This service contains NAIP imagery from 2009 in the Web Mercator projection.This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.Image Service Layer:https://mdgeodata.md.gov/imagery/rest/services/NAIP/NAIPImagery2009/ImageServer

  4. a

    Montana NAIP 2009

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Feb 1, 2010
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    Montana Geographic Information (2010). Montana NAIP 2009 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/2df13dd63de64c8288bc33470fda4f3b
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    Dataset updated
    Feb 1, 2010
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Description

    This is an ArcGIS Server Image Service that provides a four-band image of the 2009 National Agricultural Imagery Program (NAIP) orthorectified digital aerial photos of Montana. Imagery defaults to natural color. To view the imagery as false-color infrared (CIR), select band 4 as the red image, band 1 as the green, and band 2 as the blue. The 1 meter ground sample distance (GSD) ortho images were rectified to a horizontal accuracy of within /- 5 meters of reference digital ortho quarter quads (DOQQs) from the National Digital Ortho Program (NDOP). The data were provided by the U.S. Farm Services Agency National Agricultural Imagery Program to the State of Montana as multispectral 4-band GeoTIFF files tiled as 3.75' x 3.75' quarter quadrangles formatted to the UTM coordinate system using NAD83. An Esri shapefile of the dates the images were collected is available at https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Imagery/2009_NAIP/Naip_2009_Dates.zipServices available include: ArcGIS Server Image services, Open Geospatial Consortium, Inc. (OGC) web coverage services (WCS), and OGC web map services (WMS). The image and web coverage services provide users direct access to the native GeoTIFF files and pixel data for geoprocessing and image analysis. The original GeoTIFF files are available by request from the State Library. Connection URLs for OGC services: WCS: https://gisservicemt.gov/arcgis/rest/services/MSDI_Framework/NAIP_2009/ImageServer/WCSServer WMS: https://gisservicemt.gov/arcgis/rest/services/MSDI_Framework/NAIP_2009/ImageServer/WMSServer The State Library also provides the 2009 NAIP as downloadable natural-color Compressed County Mosaics (CCMs) and as 12-kilometer blocks from the Montana State Library at: https://montana.maps.arcgis.com/home/webmap/viewer.html?webmap=fbffcee9488a40d2825d2f049b5c7656

  5. H

    Vivid 2022 Image Service Metadata Layer

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +1more
    Updated Feb 27, 2024
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    Office of Planning (2024). Vivid 2022 Image Service Metadata Layer [Dataset]. https://opendata.hawaii.gov/dataset/vivid-2022-image-service-metadata-layer
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    zip, kml, arcgis geoservices rest api, csv, html, geojson, pdf, ogc wms, ogc wfsAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Description
    [Metadata] This layer contains the collection dates of the imagery contained in the image service shown here: https://geodata.hawaii.gov/arcgis/rest/services/SoH_Imagery/Vivid_2022/ImageServer. Source: USDA Farm Production and Conservation Business Center Geospatial Operations Group, April, 2023.

    For additional information, please see https://files.hawaii.gov/dbedt/op/gis/data/Vivid_2022_Metadata.pdf, or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
  6. Maryland Three Inch Imagery - Image Service

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.imap.maryland.gov
    • +3more
    Updated May 1, 2017
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    ArcGIS Online for Maryland (2017). Maryland Three Inch Imagery - Image Service [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/maryland::maryland-three-inch-imagery-image-service/api
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    Dataset updated
    May 1, 2017
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    This image service provides Three Inch resolution aerial imagery for the State of Maryland. The imagery for this service is composed of imagery flown in 2014 (Annapolis, Rockville and Gaithersburg) and 2016 (Easton). This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/imagery/rest/services/ThreeInch/MD_ThreeInchImagery/ImageServer

  7. m

    Maryland Six Inch Imagery - Image Service

    • data.imap.maryland.gov
    • data-maryland.opendata.arcgis.com
    • +2more
    Updated May 1, 2017
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    ArcGIS Online for Maryland (2017). Maryland Six Inch Imagery - Image Service [Dataset]. https://data.imap.maryland.gov/datasets/7ff8fee809dd4afcab7fbea0916e4ebe
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    Dataset updated
    May 1, 2017
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    This service provides Six Inch resolution aerial imagery for the State of Maryland. The imagery for this service is composed of imagery flown in 2023 (Western Shore) and 2024 (Eastern Shore).This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/imagery/rest/services/SixInch/SixInchImagery/ImageServer

  8. w

    San Mateo County Aerial Imagery Service 2006

    • data.wu.ac.at
    csv, json, xml
    Updated Nov 28, 2017
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    GIS Team, County of San Mateo Information Services Department (2017). San Mateo County Aerial Imagery Service 2006 [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/a2ttYy14cDMz
    Explore at:
    json, csv, xmlAvailable download formats
    Dataset updated
    Nov 28, 2017
    Dataset provided by
    GIS Team, County of San Mateo Information Services Department
    License

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

    Area covered
    San Mateo County
    Description

    Aerial imagery map service of San Mateo County. Acquired in 2006. For use as a basemap in online maps.

    Spatial Reference: 102643 (2227) Pixel Size X: 0.25 Pixel Size Y: 0.25

    More information about the service itself can be found here: http://gis.co.sanmateo.ca.us/arcgis/rest/services/COMMON/SanMateoCounty_Imagery2006/ImageServer

  9. g

    Ontario Land Cover Version 1.0

    • geohub.lio.gov.on.ca
    • data.urbandatacentre.ca
    • +4more
    Updated Aug 31, 2023
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    Land Information Ontario (2023). Ontario Land Cover Version 1.0 [Dataset]. https://geohub.lio.gov.on.ca/documents/667367a759214a089917adccdbae7cb2
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    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    Land Information Ontario
    Area covered
    Description

    Ontario Land Cover (OLC) is a primary data layer. It provides a comprehensive, standardized, landscape level inventory of Ontario’s natural, rural and anthropogenic (human made) features.Product Packages:Esri-compatible PackageOpen source compatible PackageService:Now also available through a web service which circumvents the need to download data by exposing it for visualization over the internet. When using the ESRI Image Server URL in ESRI software full geoprocessing and analysis can also be done using just the service URL.Services can be accessed directly in ArcPro by using Add Data -> Add Data From Path and copying the desired service URL below into the text box. They can also be accessed by setting up an ArcGIS server connection in ESRI software using the ArcGIS Image Server REST endpoint URL.Services can also be accessed in open-source software. For example, in QGIS you can right click on the type of service you want to add in the browser pane (e.g., ArcGIS Rest Server, WCS, WMS/WMTS) and add the appropriate URL in the resultant popup window.. All services are in Web Mercator projection.For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca.Service URL’sArcGIS Image Server Resthttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Thematic/Ontario_Land_Cover_Baseline_V1/ImageServerWeb Mapping Service (WMS)https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/Thematic/Ontario_Land_Cover_Baseline_V1/ImageServer/WMSServer/Web Coverage Service (WCS)https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/Thematic/Ontario_Land_Cover_Baseline_V1/ImageServer/WCSServer/Additional DocumentationBaseline Class Descriptions - Ontario Land Cover Version 1 (TEXT)Changes Descriptions - Ontario Land Cover Version 1 (TEXT)StatusCompleted: Production of the data has been completedMaintenance and Update FrequencyAs needed: Data is updated as deemed necessaryContactJoel Mostoway, Natural Resources and Forestry, Science and Research Branch, joel.mostoway@ontario.ca

  10. a

    LandsatLook Viewer

    • disasters.amerigeoss.org
    • amerigeo.org
    • +8more
    Updated Nov 9, 2018
    + more versions
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    AmeriGEOSS (2018). LandsatLook Viewer [Dataset]. https://disasters.amerigeoss.org/datasets/landsatlook-viewer
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    Dataset updated
    Nov 9, 2018
    Dataset authored and provided by
    AmeriGEOSS
    Description

    Welcome to the LandsatLook Viewer!The LandsatLook Viewer is a prototype tool that was developed to allow rapid online viewing and access to the USGS Landsat image archives. This viewer allows you to:Interactively explore the Landsat archive at up to full resolution directly from a common web browserSearch for specific Landsat images based on area of interest, acquisition date, or cloud coverCompare image features and view changes through timeDisplay configurable map information layers in combination with the Landsat imageryCreate a customized image display and export as a simple graphic fileView metadata and download the full-band source imagerySearch by address or place, or zoom to a point, bounding box, or Sentinel-2 Tile or Landsat WRS-1 or WRS-2 Path/RowGenerate and download a video animation of the oldest to newest images displayed in the viewerWe welcome feedback and input for future versions of this Viewer! Please provide your comments or suggestions .About the ImageryThis viewer provides visual and download access to the USGS LandsatLook "Natural Color" imageproduct archive.BackgroundThe Landsat satellites have been collecting multispectral images of Earth from space since 1972. Each image contains multiple bands of spectral information which may require significant user time, system resources, and technical expertise to obtain a visual result. As a result, the use and access to Landsat data has been historically limited to the scientific and technical user communities.The LandsatLook “Natural Color” image product option was created to provide Landsat imagery in a simple user-friendly and viewer-ready format, based on specific bands that have been selected and arranged to simulate natural color. This type of product allows easy visualization of the archived Landsat image without any need for specialized software or technical expertise.LandsatLook ViewerThe LandsatLook Viewer displays the LandsatLook Natural Color image product for all Landsat 1-8 images in the USGS archive and was designed primarily for visualization purposes.The imagery within this Viewer will be of value to anyone who wants to quickly see the full Landsat record for an area, along with major image features or obvious changes to Earth’s surface through time. An area of interest may be extracted and downloaded as a simple graphic file directly through the viewer, and the original full image tile is also available if needed. Any downloaded LandsatLook image product is a georeferenced file and will be compatible within most GIS and Web mapping applications.If the user needs to perform detailed technical analysis, the full bands of Landsat source data may also be accessed through direct links provided on the LandsatLook Viewer.Image ServicesThe imagery that is visible on this LandsatLook Viewer is based on Web-based ArcGIS image services. The underlying REST service endpoints for the LandsatLook imagery are available at https://landsatlook.usgs.gov/arcgis/rest/services/LandsatLook/ImageServer .Useful linksLandsat- Landsat Mission (USGS)- Landsat Science (NASA)LandsatLook- Product Description- USGS Fact Sheet- LandsatLook image services (REST)Landsat Products- Landsat 8 OLI/TIRS- Landsat 7 ETM+- Landsat 4-5 TM- Landsat 1-5 MSS- Landsat Band DesignationsLandsatLook images are full-resolution files derived from Landsat Level-1 data products. The images are compressed and stretched to create an image optimized for image selection and visual interpretation. It is recommended that these images not be used in image analysis.LandsatLook image files are included as options when downloading Landsat scenes from EarthExplorer, GloVis, or the LandsatLook Viewer (See Figure 1).Figure 1. LandsatLook and Level-1 product download optionsLandsatLook Natural Color ImageThe LandsatLook Natural Color image is a .jpg composite of three bands to show a “natural” looking (false color) image. Reflectance values were calculated from the calibrated scaled digital number (DN) image data. The reflectance values were scaled to a 1-255 range using a gamma stretch with a gamma=2.0. This stretch was designed to emphasize vegetation without clipping the extreme values.Landsat 8 OLI = Bands 6,5,4Landsat 7 ETM+ and Landsat 4-5 TM = Bands 5,4,3Landsat 4-5 MSS = Bands 2,4,1Landsat 1-3 MSS = Bands 7,5,4LandsatLook Thermal ImageThe LandsatLook Thermal image is a one-band gray scale .jpg image that displays thermal properties of a Landsat scene. Image brightness temperature values were calculated from the calibrated scaled digital number (DN) image data. An image specific 2 percent clip and a linear stretch to 1-255 were applied to the brightness temperature values.Landsat 8 TIRS = Band 10Landsat 7 ETM+ = Band 61-high gainLandsat 4-5 TM = Band 6Landsat 1-5 MSS = not availableLandsatLook Quality ImageLandsatLook Quality images are 8-bit files generated from the Landsat Level-1 Quality band to provide a quick view of the quality of the pixels within the scene to determine if a particular scene would work best for the user's application. This file includes values representing bit-packed combinations of surface, atmosphere, and sensor conditions that can affect the overall usefulness of a given pixel. Color mapping assignments can be seen in the tables below. For each Landsat scene, LandsatLook Quality images can be downloaded individually in .jpg format, or as a GeoTIFF format file (_QB.TIF) within the LandsatLook Images with Geographic Reference file.Landsat Collection 1 LandsatLook 8-bit Quality Images DesignationsLandsat 8 OLI/TIRSLandsat 7 ETM+, Landsat 4-5 TMLandsat 1-5 MSSColorBitDescriptionBitDescriptionBitDescription 0Designated Fill0Designated Fill0Designated Fill 1Terrain Occlusion1Dropped Pixel1Dropped Pixel 2Radiometric Saturation 2Radiometric Saturation ​2Radiometric Saturation 3Cloud3Cloud3Cloud 4Cloud Shadow4Cloud Shadow 4Unused 5Snow/Ice 5Snow/Ice 5Unused 6Cirrus 6Unused6Unused 7Unused7Unused7UnusedUnusedTable 1. Landsat Collection 1 LandsatLook 8-bit Quality Images Designations LandsatLook Images with Geographic ReferenceThe LandsatLook Image with Geographic Reference is a .zip file bundle that contains the Natural Color, Thermal, and the 8-bit Quality images in georeferenced GeoTiff (.TIF) file format.Figure 2. LandsatLook Natural Color Image: Landsat 8 Path 45 Row 30 Acquired April 23, 2013Figure 3. LandsatLook Thermal Image: Landsat 8 Path 45 Row 30 Acquired April 23, 2013Figure 4. LandsatLook Quality Image: Landsat 8 Path 45 Row 30 Acquired April 23, 2013 with background color set to dark grey. Additional Information About LandsatLook ImagesMany geographic information systems and image processing software packages easily support .jpg images. To create these files, Landsat data is mapped to a 1-255 range, with the fill area set to zero (if a no-data value is set to zero, the compression algorithm may introduce zero-value artifacts into the data area causing very dark data values to be displayed as no-data).

  11. w

    San Mateo County Digital Elevation Model Service 2017

    • data.wu.ac.at
    csv, json, xml
    Updated Nov 29, 2017
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    GIS Team, County of San Mateo Information Services Department (2017). San Mateo County Digital Elevation Model Service 2017 [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/dmJ0cy1nYmJx
    Explore at:
    csv, xml, jsonAvailable download formats
    Dataset updated
    Nov 29, 2017
    Dataset provided by
    GIS Team, County of San Mateo Information Services Department
    License

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

    Area covered
    San Mateo County
    Description

    Digital elevation model (DEM) map service of San Mateo County. Includes elevation derived from aerial imagery acquired in 2016. For use as a basemap in online maps.

    Spatial Reference: 102643 (2227)

    More information about the service itself can be found here: http://gis.co.sanmateo.ca.us/arcgis/rest/services/COMMON/SanMateoCounty_DEM2017/ImageServer

  12. m

    Maryland LiDAR Anne Arundel County - Slope

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +1more
    Updated Jan 1, 2011
    + more versions
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    ArcGIS Online for Maryland (2011). Maryland LiDAR Anne Arundel County - Slope [Dataset]. https://data.imap.maryland.gov/datasets/58d51bc868004923b618ce49e534ea22
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    Dataset updated
    Jan 1, 2011
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    DEM raster for Anne Arundel County.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/AnneArundel/MD_annearundel_slope_m/ImageServer

  13. w

    County Shaded Relief Service 2006

    • data.wu.ac.at
    • data.smcgov.org
    csv, json, xml
    Updated Nov 28, 2017
    + more versions
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    GIS Team, County of San Mateo Information Services Department (2017). County Shaded Relief Service 2006 [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/anVjNi1tejk5
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Nov 28, 2017
    Dataset provided by
    GIS Team, County of San Mateo Information Services Department
    License

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

    Description

    Shaded relief map service of San Mateo County. Derived from aerial imagery acquired in 2006. For use as a basemap in online maps and to show elevation change using shading.

    Spatial Reference: 102643 (2227) Pixel Size X: 5.0 Pixel Size Y: 5.0 Band Count: 3

    More information about the service itself can be found here: http://gis.co.sanmateo.ca.us/arcgis/rest/services/COMMON/SanMateoCounty_ShadedRelief2006/ImageServer

  14. a

    DOQQ 2004 (aerial photos-Image Server)

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated Nov 15, 2017
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    Florida Department of Environmental Protection (2017). DOQQ 2004 (aerial photos-Image Server) [Dataset]. https://hub.arcgis.com/datasets/ea98c345896b4f0b9a92ebc09a67d7f8
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    Dataset updated
    Nov 15, 2017
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    A DOQQ is a computer generated image of an aerial photograph in which displacements caused by camera orientation and terrain have been removed. Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquad (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75-minutes of latitude by 3.75-minutes of longitude) image cast on the Universal Transverse Mercator Projection (UTM) on the North American Datum of 1983 (NAD83).The geographic extent of the DOQ is equivalent to a quarter-quad plus The overedge ranges a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. This dataset was rebuilt in ArcGIS Image Server using MrSID imagery for the data source. The JPG imagery that was used for the 2004 DOQQ dataset in ArcSDE Raster was found to have inaccurate colors. This dataset has been built using ArcGIS Image Server instead of ArcSDE Raster for easier maintenance and improved performance. The imagery included in this layer is flown from 2003-2005. Please contact GIS.Librarian@FloridaDEP.gov for more information.

  15. i10 Image Service Index

    • data.ca.gov
    • data.cnra.ca.gov
    • +5more
    Updated May 29, 2025
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    California Department of Water Resources (2025). i10 Image Service Index [Dataset]. https://data.ca.gov/bs/dataset/i10-image-service-index
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    License

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

    Description

    The DWR Enterprise image server has hundreds of image services, but there is no interface for searching or querying the server. The image server index contains footprints of the geographic extent of each available image service, as well as relevant attributes that describe the image service. There are also related tables for most types of image services that contain information specific to that type of data, such as specification numbers for design drawings or beam types for bathymetry data.

  16. a

    TopoBathy3D Online (Image Server)

    • hub.arcgis.com
    Updated Nov 17, 2024
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    SonarBAT MAPS (2024). TopoBathy3D Online (Image Server) [Dataset]. https://hub.arcgis.com/datasets/43cc0c7df0a343a6a5a35f3dc2a38a5e
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    Dataset updated
    Nov 17, 2024
    Dataset authored and provided by
    SonarBAT MAPS
    Area covered
    Description

    TopoBathy 3D provides global elevation and bathymetry to use as a ground surface in 3D applications such as ArcGIS Pro, ArcGIS Online webscene. Heights/Depths are orthometric (in meters) and are based on multiple sources. This elevation layer compiles data from multiple sources ranging from 1000m - 50cm (see Elevation Coverage Map for details.). For more information on this service, including the terms of use, visit us online.

  17. Refined Tuktoyaktuk, N.W.T. Sea Level Change 3D Map

    • climat.esri.ca
    Updated Oct 24, 2023
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    Esri Canada - National Capital Region (2023). Refined Tuktoyaktuk, N.W.T. Sea Level Change 3D Map [Dataset]. https://climat.esri.ca/maps/e20f7ba0c63e47a685cb6ce536daed6d
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    Dataset updated
    Oct 24, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Canada - National Capital Region
    Description

    This map showcases a 2D sea level change feature layer can be transformed to 3D with the sea level increase value extruded to the average elevation of each line segment. The original CanCoast 2099 sea level change polyline is divided into segments of ~300 meters from the longer segments. 200 meters landward buffer was created from the modified polyline feature. Sea level increase value is extruded to the 2D polygon to the lowest elevation. This map is for demonstration rather than scientific research purposes. Data Sources:coastline 200m buffer minHeightmodified from Manson, G.K., Couture, N.J., and James, T.S., 2019. CanCoast Version 2.0: data and indices to describe the sensitivity of Canada's marine coasts to changing climate; Geological Survey of Canada, Open File 8551, 1 .zip file. https://doi.org/10.4095/314669EsriOpenStreet 3D buildings: https://www.arcgis.com/home/item.html?id=ca0470dbbddb4db28bad74ed39949e25WorldElevation3D/Terrain3D https://elevation3d.arcgis.com/arcgis/rest/services/WorldElevation3D/Terrain3D/ImageServer Topographic basemapthumbnail image: https://irc.inuvialuit.com/about-irc/community/tuktoyaktuk

  18. Provincial Digital Elevation Model (PDEM)

    • geohub.lio.gov.on.ca
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Dec 19, 2019
    + more versions
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    Ontario Ministry of Natural Resources and Forestry (2019). Provincial Digital Elevation Model (PDEM) [Dataset]. https://geohub.lio.gov.on.ca/maps/882a9059ec7c4881abbdb6afa0ae73e6
    Explore at:
    Dataset updated
    Dec 19, 2019
    Dataset provided by
    Ministry of Natural Resourceshttp://www.ontario.ca/page/ministry-natural-resources
    Authors
    Ontario Ministry of Natural Resources and Forestry
    License

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

    Area covered
    Description

    The Provincial Digital Elevation Model (PDEM) is a general purpose dataset designed to represent true ground elevation where possible and is based on best-available data across the province. This dataset has not been conditioned for any specific application. Please see the User Guide below for more information.Zoom in on the map and click your area of interest to determine which package(s) you require for download.Now also available through a web service which exposes the data forvisualization and geoprocessing.The service is best accessed through the ArcGIS REST API, either directly or by setting up an ArcGIS server connection using the REST endpoint URL. The service draws using the Web Mercator projection.For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Land Information Ontario (LIO) at lio@ontario.ca.Service Endpointshttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_Provincial_Digital_Elevation_Model/ImageServerhttps://intra.ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_Provincial_Digital_Elevation_Model/ImageServer (Government of Ontario Internal Users)Additional DocumentationProvincial Digital Elevation Model - User Guide (Word)Provincial Digital Elevation Model - Methods and Processes (Word)Updating Provincial Elevation Data Using Least Cost Path Analysis (Word)Provincial Digital Elevation Model - Boundary in shape file format (Shapefile)OBM Photo Block Index (Zip file)PDEM Spatial Metadata Index (Elevation Source) - October 3rd, 2023 (Zip file)Product PackagesProvincial Digital Elevation Model -North (CGVD28)Provincial Digital Elevation Model - South (CGVD28)Provincial Digital Elevation Model - North (CGVD2013)Provincial Digital Elevation Model - South (CGVD2013)StatusOn going: Data is continually being updatedMaintenance and Update FrequencyAs needed: Data is updated as deemed necessaryRSS FeedFollow our feed to get the latest announcements and developments concerning our PDEM product. Visit our feed at the bottom of our ArcGIS Online PDEM page.ContactOntario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

  19. m

    Maryland Storm Imagery - Hurricane Joaquin

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +1more
    Updated Oct 6, 2015
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    ArcGIS Online for Maryland (2015). Maryland Storm Imagery - Hurricane Joaquin [Dataset]. https://data.imap.maryland.gov/maps/e2a783dbd8e149888890ad061e39b901
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    Dataset updated
    Oct 6, 2015
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Aerial imagery for Maryland from October 6, 2015 for Hurricane Joaquin.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/imagery/rest/services/Storm/HurricaneJoaquin/ImageServer

  20. m

    Maryland Storm Imagery - La Plata Tornado

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +1more
    Updated May 1, 2012
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    ArcGIS Online for Maryland (2012). Maryland Storm Imagery - La Plata Tornado [Dataset]. https://data.imap.maryland.gov/datasets/maryland-storm-imagery-la-plata-tornado
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    Dataset updated
    May 1, 2012
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Color digital orthophotography of the maximum extent of the tornado damage that occurred in LaPlata, Maryland to facilitate recovery operations and disaster mitigation.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link:https://mdgeodata.md.gov/imagery/rest/services/Storm/LaPlataTornado/ImageServer

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Land Information Ontario (2022). Geospatial Ontario Imagery Data Services [Dataset]. https://geohub.lio.gov.on.ca/maps/ff68b90cc7ae4168b7c8d10b87d10d2d

Geospatial Ontario Imagery Data Services

Explore at:
Dataset updated
Aug 23, 2022
Dataset authored and provided by
Land Information Ontario
Area covered
Description

Mosaics are published as ArcGIS image serviceswhich circumvent the need to download or order data. GEO-IDS image services are different from standard web services as they provide access to the raw imagery data. This enhances user experiences by allowing for user driven dynamic area of interest image display enhancement, raw data querying through tools such as the ArcPro information tool, full geospatial analysis, and automation through scripting tools such as ArcPy.Image services are best accessed through the ArcGIS REST APIand REST endpoints (URL's). You can copy the OPS ArcGIS REST API link below into a web browser to gain access to a directory containing all OPS image services. Individual services can be added into ArcPro for display and analysis by using Add Data -> Add Data From Path and copying one of the image service ArcGIS REST endpoint below into the resultant text box. They can also be accessed by setting up an ArcGIS server connectionin ESRI software using the ArcGIS Image Server REST endpoint/URL. Services can also be accessed in open-source software. For example, in QGIS you can right click on the type of service you want to add in the browser pane (e.g., ArcGIS REST Server, WCS, WMS/WMTS) and copy and paste the appropriate URL below into the resultant popup window. All services are in Web Mercator projection.For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.caAvailable Products:ArcGIS REST APIhttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/Image Service ArcGIS REST endpoint / URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServerhttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServerWeb Coverage Services (WCS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WCSServer/Web Mapping Service (WMS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WMSServer/Metadata for all imagery products available in GEO-IDS can be accessed at the links below:South Central Ontario Orthophotography Project (SCOOP) 2023North-Western Ontario Orthophotography Project (NWOOP) 2022Central Ontario Orthophotography Project (COOP) 2021South-Western Ontario Orthophotography Project (SWOOP) 2020Digital Raster Acquisition Project Eastern Ontario (DRAPE) 2019-2020South Central Ontario Orthophotography Project (SCOOP) 2018North-Western Ontario Orthophotography Project (NWOOP) 2017Central Ontario Orthophotography Project (COOP) 2016South-Western Ontario Orthophotography Project (SWOOP) 2015Algonquin Orthophotography Project (2015)Additional Documentation:Ontario Web Raster Services User Guide (Word)Status:Completed: Production of the data has been completed Maintenance and Update Frequency:Annually: Data is updated every yearContact:Geospatial Ontario (GEO), geospatial@ontario.ca

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