90 datasets found
  1. a

    OC 2017 DEM Image Service

    • hub.arcgis.com
    • accessoakland.oakgov.com
    • +3more
    Updated May 5, 2018
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    Oakland County, Michigan (2018). OC 2017 DEM Image Service [Dataset]. https://hub.arcgis.com/datasets/304f61084a5446128454ab065d68cfe0
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    Dataset updated
    May 5, 2018
    Dataset authored and provided by
    Oakland County, Michigan
    Area covered
    Description

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS and bare earth DEM data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.2, QL2. 19.6 cm NVA.This metadata record describes the hydro-flattened bare earth digital elevation model (DEM) derived from the classified LiDAR data for the 2017 Michigan LiDAR project covering approximately 907 square miles, in which its extents cover Oakland County.This data is for planning purposes only and should not be used for legal or cadastral purposes. Any conclusions drawn from analysis of this information are not the responsibility of Sanborn Map Company. Users should be aware that temporal changes may have occurred since this dataset was collected and some parts of this dataset may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Contact: State of MichiganDue to the large size of the data, downloading the entire county may not be possible. It is recommended to use the live service directly within ArcMap or ArcGIS Pro. For further questions, contact the Oakland County Service Center at 248-858-8812, servicecenter@oakgov.com.

  2. d

    Data from: Digital elevation model (DEM) and shaded relief image of Okmok...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Jul 5, 2023
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    Alaska Division of Geological & Geophysical Surveys (Point of Contact) (2023). Digital elevation model (DEM) and shaded relief image of Okmok Caldera, 2010 [Dataset]. https://catalog.data.gov/dataset/digital-elevation-model-dem-and-shaded-relief-image-of-okmok-caldera-20101
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    Alaska Division of Geological & Geophysical Surveys (Point of Contact)
    Area covered
    Okmok Caldera, Mount Okmok
    Description

    In response to significant morphologic changes in Okmok Caldera due to the phreatomagmatic eruption of Okmok volcano in 2009, a new digital elevation model was acquired to document and quantitatively assess the new volcanic features and altered hydrology within the caldera. This DEM dataset provides elevation data derived from a stereo pair of Worldview-1 satellite images acquired on January 21, 2010. In addition to the DEM, a shaded-relief image is also provided for easy visualization of the data.

  3. c

    DEM for Fuglebergsletta area from Dornier images - Dataset - POLAR-PL...

    • polar.cenagis.edu.pl
    Updated Jan 2, 2022
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    (2022). DEM for Fuglebergsletta area from Dornier images - Dataset - POLAR-PL Catalog [Dataset]. https://polar.cenagis.edu.pl/dataset/dem_for_fuglebergsletta_area_from_dornier_images
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    Dataset updated
    Jan 2, 2022
    Description

    Digital elevation model (DEM) with high spatial resolution derived from aerial images captured in 2020 over Hornsund, Svalbard by Dornier aircraft. The spatial resolution of the orthomosaic is 0.169 m. Aerial images for the area were provided by the SIOS through a dedicated call of proposals (https://sios-svalbard.org/AirborneRS). The dataset is the supplement to the paper: Błaszczyk, M.; Laska, M.; Sivertsen, A.; Jawak, S.D. Combined Use of Aerial Photogrammetry and Terrestrial Laser Scanning for Detecting Geomorphological Changes in Hornsund, Svalbard. Remote Sens. 2022, 14, 601. https://doi.org/10.3390/rs14030601

  4. c

    NOAA orthorectified Digital Elevation Model (DEM) image tiles, Bombay Hook,...

    • s.cnmilf.com
    • search.dataone.org
    • +2more
    Updated Jul 1, 2025
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    (Point of Contact) (2025). NOAA orthorectified Digital Elevation Model (DEM) image tiles, Bombay Hook, Delaware, 2011 (NCEI Accession 0112173) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/noaa-orthorectified-digital-elevation-model-dem-image-tiles-bombay-hook-delaware-2011-ncei-acce1
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    Dataset updated
    Jul 1, 2025
    Dataset provided by
    (Point of Contact)
    Area covered
    Delaware
    Description

    The NOAA Bombay Hook Project covers 177 square kilometers of the Bombay Hook National Wildlife Refuge and surrounding areas in Kent County, Delaware. The Dewberry company produced ortho mosaics for 101 tiles (1700 m x 1700 m) covering this area. The images were created with a 25cm cell size. These images provide a snapshot in time that depicts the ground surface and water features for use in coastal management. These Digital Elevation Models (DEMs) are created to the specifications outlined by NOAA CSC in partnership with the Delaware Department of Natural Resources and Environmental Control (DNREC). These images are in ERDAS commercial software .img format which may be read by GIS software and various computer languages. Associated Reduced Resolution Dataset (.rrd) files, HIStory (.his) files, browse image (.jpg) files, and individual (.xml) and collection level metadata in Federal Geographic Data Committee (FGDC) format are included in the dataset.

  5. k

    Kentucky Phase1 Digital Elevation Model (Image Service)

    • opengisdata.ky.gov
    • data.lojic.org
    • +1more
    Updated Oct 18, 2013
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    KyGovMaps (2013). Kentucky Phase1 Digital Elevation Model (Image Service) [Dataset]. https://opengisdata.ky.gov/datasets/20bb1a7a16744c139022495253c060d4
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    Dataset updated
    Oct 18, 2013
    Dataset authored and provided by
    KyGovMaps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This Dynamic Image Service provides access to a seamless 5-Foot Digital Elevation Model (DEM) for all of Kentucky. This elevation data was acquired through the KyFromAbove Aerial Photography and Elevation Data Program which began in 2012. Complete statewide coverage was achieved in 2017 and Phase2 acquisitions are now underway. The DEM was derived from the ground class within KyFromAbove point cloud data and has a 5-foot point spacing. Kentucky's DEM data specifications were developed by the KyFromAbove Technical Advisory Subcommittee and adopted by the Kentucky Geographic Information Advisory Council (GIAC). More information regarding this data resource can be found on the KyGeoPortal and the KyFromAbove webpage.Special thanks to the many KyFromAbove Program Contributors.

  6. a

    San Mateo County 2017 Digital Elevation Model (DEM) Image Service

    • data-smcmaps.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 29, 2017
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    San Mateo County (2017). San Mateo County 2017 Digital Elevation Model (DEM) Image Service [Dataset]. https://data-smcmaps.opendata.arcgis.com/datasets/6ce67725cf44432fb7d579534e2fa544
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    Dataset updated
    Nov 29, 2017
    Dataset authored and provided by
    San Mateo County
    Area covered
    Description

    Digital elevation model (DEM) map service of San Mateo County. Includes elevation derived from aerial imagery acquired in 2016. Spatial Reference: 102643 (2227)More information about the service itself can be found in the County's image services directory.Flight and imagery acquisition metadata can be found on the County's GIS data download site.

  7. d

    Braddock East digital elevation model (DEM) from low-altitude aerial imagery...

    • catalog.data.gov
    • datasets.ai
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Braddock East digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (32-bit floating point GeoTIFF image). [Dataset]. https://catalog.data.gov/dataset/braddock-east-digital-elevation-model-dem-from-low-altitude-aerial-imagery-from-unmanned-a
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    New York, Braddock Bay, Lake Ontario
    Description

    Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point clouds; orthomosaic images; and digital elevation models for each of the survey regions. Collection of these data was supported by the Federal Emergency Management Agency, the State of New York Departments of State and Environmental Conservation, and the USGS Coastal and Marine Geology Program and was conducted under USGS field activity number 2017-042-FA.

  8. k

    Kentucky Phase2 Digital Elevation Model (Image Service)

    • opengisdata.ky.gov
    • hamhanding-dcdev.opendata.arcgis.com
    • +1more
    Updated Jun 25, 2025
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    KyGovMaps (2025). Kentucky Phase2 Digital Elevation Model (Image Service) [Dataset]. https://opengisdata.ky.gov/datasets/eac9fc404f1749fd9f66dbde6168e3c5
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    KyGovMaps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The KyFromAbove Phase2 collection provides access to a 2 Foot Digital Elevation Model (DEM) for Kentucky. Phase2 began in 2019 and was completed in 2024. Phase3 acquisitions are now underway.The DEM was derived from the ground class within KyFromAbove point cloud data and has a 2-foot point spacing. Kentucky's DEM data specifications were developed by the KyFromAbove Technical Advisory Subcommittee and adopted by the Kentucky Geographic Information Advisory Council (GIAC). More information regarding this data resource can be found on the KyFromAbove webpage.Special thanks to the many KyFromAbove Program Contributors.

  9. a

    San Mateo County 2017 Shaded Relief (DEM) Image Service

    • hub.arcgis.com
    • data-smcmaps.opendata.arcgis.com
    Updated Nov 29, 2017
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    San Mateo County (2017). San Mateo County 2017 Shaded Relief (DEM) Image Service [Dataset]. https://hub.arcgis.com/datasets/41b16a6b0fc44bfc806094d415ddc7fd
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    Dataset updated
    Nov 29, 2017
    Dataset authored and provided by
    San Mateo County
    Area covered
    Description

    San Mateo County 2017 Shaded Relief (DEM). Digital elevation model (DEM) map service of San Mateo County. Includes elevation derived from aerial imagery acquired in 2016.Spatial Reference: 102643 (2227) More information about the service itself can be found in the County's image services directory.Flight and imagery acquisition metadata can be found on the County's GIS data download site.

  10. d

    Braddock West digital elevation model (DEM) from low-altitude aerial imagery...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Braddock West digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017 (32-bit floating point GeoTIFF image). [Dataset]. https://catalog.data.gov/dataset/braddock-west-digital-elevation-model-dem-from-low-altitude-aerial-imagery-from-unmanned-a
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    New York, Braddock Bay, Lake Ontario
    Description

    Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point clouds; orthomosaic images; and digital elevation models for each of the survey regions. Collection of these data was supported by the Federal Emergency Management Agency, the State of New York Departments of State and Environmental Conservation, and the USGS Coastal and Marine Geology Program and was conducted under USGS field activity number 2017-042-FA.

  11. m

    Shaded Relief from LiDAR (Image Service)

    • gis.data.mass.gov
    • geo-massdot.opendata.arcgis.com
    Updated Nov 23, 2021
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    MassGIS - Bureau of Geographic Information (2021). Shaded Relief from LiDAR (Image Service) [Dataset]. https://gis.data.mass.gov/datasets/7377a612845a493c9987216a67a9919c
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    Dataset updated
    Nov 23, 2021
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This shaded relief image was generated from the lidar-based bare-earth digital elevation model (DEM). A shaded relief image provides an illustration of variations in elevation using artificial shadows. Based on a specified position of the sun, areas that would be in sunlight are highlighted and areas that would be in shadow are shaded. In this instance, the position of the sun was assumed to be 45 degrees above the northwest horizon.The shaded relief image shows areas that are not in direct sunlight as shadowed. It does not show shadows that would be cast by topographic features onto the surrounding surface.Using ERDAS IMAGINE, a 3X3 neighborhood around each pixel in the DEM was analyzed, and a comparison was made between the sun's position and the angle that each pixel faces. The pixel was then assigned a value between -1 and +1 to represent the amount of light reflected. Negative numbers and zero values represent shadowed areas, and positive numbers represent sunny areas. In ArcGIS Desktop 10.7.1, the image was converted to a JPEG 2000 format with values from 0 (black) to 255 (white).See the MassGIS datalayer page to download the data as a JPEG 2000 image file.View this service in the Massachusetts Elevation Finder.MassGIS has also published a Lidar Shaded Relief tile service (cache) hosted in ArcGIS Online.

  12. d

    Chimney Bluffs digital elevation model (DEM) from low-altitude aerial...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Chimney Bluffs digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017 (32-bit floating point GeoTIFF image) [Dataset]. https://catalog.data.gov/dataset/chimney-bluffs-digital-elevation-model-dem-from-low-altitude-aerial-imagery-from-unmanned-
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Lake Ontario
    Description

    Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point clouds; orthomosaic images; and digital elevation models for each of the survey regions. Collection of these data was supported by the Federal Emergency Management Agency, the State of New York Departments of State and Environmental Conservation, and the USGS Coastal and Marine Geology Program and was conducted under USGS field activity number 2017-042-FA.

  13. Z

    CTX DEM Dataset in Arabia Terra

    • data.niaid.nih.gov
    Updated Jul 19, 2024
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    Annex, Andrew M. (2024). CTX DEM Dataset in Arabia Terra [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4663102
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    Dataset updated
    Jul 19, 2024
    Dataset authored and provided by
    Annex, Andrew M.
    License

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

    Description

    MRO CTX Digital Elevation Models (DEMs) and Map Projected Orthoimages produced using Ames Stereo Pipeline.

    File names start with the two CTX image IDs as defined in the PDS joined with an underscore used to make the DEM, with the first image corresponding to the image with the lower emission angle. File spatial resolutions (meters per pixel) are reported after the processing stages "_map_ba_align_" section as "_meters-".

    Files ending with "DEM-adj.tif" postfix are the DEMs, while the map projected orthoimages end with "DRG.tif"

  14. Data from: MMFlood: A Multimodal Dataset for Flood Delineation from...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated May 13, 2022
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    Fabio Montello; Fabio Montello; Edoardo Arnaudo; Edoardo Arnaudo; Claudio Rossi; Claudio Rossi (2022). MMFlood: A Multimodal Dataset for Flood Delineation from Satellite Imagery [Dataset]. http://doi.org/10.1415/mmflood.links
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    zipAvailable download formats
    Dataset updated
    May 13, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Fabio Montello; Fabio Montello; Edoardo Arnaudo; Edoardo Arnaudo; Claudio Rossi; Claudio Rossi
    License

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

    Description

    MMFlood is remote sensing dataset derived from Sentinel-1 (VV-VH), MapZen (DEM) and OpenStreetMap (Hydrography). It provides a complete and well-rounded set of data specifically designed for flood events, focusing on three main features: worldwide distribution, manually validated annotations and multiple modalities.

    • 1748 pairs of SAR images and pixel-level annotations exclusively based around flooded areas and taking into account 95 flood events in 42 different countries around the world, in a time span ranging from 2014 to 2021.
    • Image size <2000x2000, image resolution of 20m .
    • Manually verified flood events across the world with raw SAR acquisitions derived from Sentinel-1.
    • Includion of Digital Elevation Model (DEM) images.
  15. c

    Combined DEM for Fuglebergsletta area from Dornier images and terrestrial...

    • polar.cenagis.edu.pl
    Updated Jan 31, 2025
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    (2025). Combined DEM for Fuglebergsletta area from Dornier images and terrestrial laser scanner (TLS) - Dataset - POLAR-PL Catalog [Dataset]. https://polar.cenagis.edu.pl/dataset/combined_dem_for_fuglebergsletta_area_from_dornier_images_and_terrestrial_laser_scanner_tls_
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    Dataset updated
    Jan 31, 2025
    Description

    Digital elevation model (DEM) combined from DEM derived from aerial images captured in 2020 over Hornsund, Svalbard by Dornier aircraft and from terrestrial laser scanner campaign in 2021. Both DEMs contain data gaps; therefore, they were combined to create a continuous product with the best possible accuracy and resolution. The dataset is the supplement to the paper: Błaszczyk, M.; Laska, M.; Sivertsen, A.; Jawak, S.D. Combined Use of Aerial Photogrammetry and Terrestrial Laser Scanning for Detecting Geomorphological Changes in Hornsund, Svalbard. Remote Sens. 2022, 14, 601. https://doi.org/10.3390/rs14030601

  16. d

    Christmas Island Laser DEM Shiny Colour Drape Images - 2000 - Datasets -...

    • catalogue.data.wa.gov.au
    Updated Apr 11, 2025
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    (2025). Christmas Island Laser DEM Shiny Colour Drape Images - 2000 - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/christmas-island-2000-shiny-drape-images
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    Dataset updated
    Apr 11, 2025
    Area covered
    Christmas Island
    Description

    In 2000 AAM surveys Pty Ltd. was commisioned by the commonwealth to fly an airborne laser scanning survey of Christmas Island. Raw data was tiled to shapefiles then converted to grids from which the LaserDEM shiny colour drape images were made. A wet look shiny colour drape algorithm was applied to each of the 27 '2000 LaserDEM Grid' tiles using ERMapper®, and the results saved as Tagged Image File Format (TIFF) images in both 8 bit (256 colour) and 24 bit (16 million colour) formats. Each wet look shiny colour drape DEM tile was also saved as an Enhanced Compressed Wavelet (ECW) image. The colour range has been optimized for each individual tile to provide maximum information. A consequence of this is that colours may not match at adjoining edges. Each image tile has a 1m pixel size. Most inland tiles and several coastal tiles are 2km x 2km in area. The inland tiles located at the edge of the flight path extent, and most coastal tiles, deviate from the 2km x 2km standard tile size as adjacent tiles have been merged to minimize areas of no data and ocean. The advantage of the 2000 Laser DEM over previous DEMs is that the laser scanner used to produce the DEM was able to penetrate vegetation. Previous DEMs included the height of tree tops rather than the ground elevation obscured by vegetation. The 2000 Laser DEM therefore provides a more accurate and detailed picture of the ground surface of Christmas Island. Topographic features overgrown with vegetation are apparent on the 2000 Laser DEM shiny colour drape images, where in previous versions of CIGIS DEMs they were not. AAM Surveys Pty Ltd Indicate that the horizontal accuracy of the airborne laser scanner is between 0.3 and 0.5 metres. LaserDEM shiny colour drape image tiles have been produced for the eastern half of the island only, as only the eastern half of the island has been surveyed with the laser scanner. Disclaimer

  17. d

    Lidar-derived imagery and digital elevation model of Monroe County, West...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Lidar-derived imagery and digital elevation model of Monroe County, West Virginia at 3-meter resolution [Dataset]. https://catalog.data.gov/dataset/lidar-derived-imagery-and-digital-elevation-model-of-monroe-county-west-virginia-at-3-mete
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    West Virginia, Monroe County
    Description

    These raster datasets are 3-meter lidar-derived images of Monroe County, West Virginia, and were created using geographic information systems (GIS) software. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which a hillshade was applied and a topographic position index (TPI) raster was calculated. These two rasters were uploaded into GlobalMapper, where the TPI raster was made partially transparent and overlaid the hillshade DEM. The resulting image was exported to create a 3-meter resolution lidar-derived image. The data is projected in North America Datum (NAD) 1983 UTM Zone 17.

  18. d

    Hebgen Lake, MT, SfM DEM from aerial images (1947)

    • catalog.data.gov
    • portal.opentopography.org
    Updated Oct 21, 2022
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    OpenTopography (Originator); University College London (Originator) (2022). Hebgen Lake, MT, SfM DEM from aerial images (1947) [Dataset]. https://catalog.data.gov/dataset/hebgen-lake-mt-sfm-dem-from-aerial-images-1947
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    Dataset updated
    Oct 21, 2022
    Dataset provided by
    OpenTopography (Originator); University College London (Originator)
    Area covered
    Hebgen Lake, Montana
    Description

    Stereogrammetric pre-earthquake DEM for the 1959 Hebgen Lake earthquake. The model was created from the aerial images collected in 1947. The resolution of the model is 1m/px.

  19. Radar shadow detection in SAR images using DEM and projections

    • figshare.com
    bin
    Updated Jun 1, 2023
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    Surya Prasath; O. Haddad (2023). Radar shadow detection in SAR images using DEM and projections [Dataset]. http://doi.org/10.6084/m9.figshare.659896.v1
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    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Surya Prasath; O. Haddad
    License

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

    Description

    The data-sets, additional images (MATLAB .fig files for 3D visualizations), illustrative movies corresponding to the following paper: V. B. S. Prasath, O. Haddad. Radar shadow detection in synthetic aperture radar images using digital elevation model and projections. Journal of Applied Remote Sensing, 8(1), 083628, May 2014. Pre-print available at arXiv:1309.1830.

  20. a

    Kentucky Digital Elevation Model (DEM)

    • hub.arcgis.com
    Updated Oct 18, 2013
    + more versions
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    KyGovMaps (2013). Kentucky Digital Elevation Model (DEM) [Dataset]. https://hub.arcgis.com/datasets/20bb1a7a16744c139022495253c060d4
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    Dataset updated
    Oct 18, 2013
    Dataset authored and provided by
    KyGovMaps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This Dynamic Image Service provides access to a seamless 5-Foot Digital Elevation Model (DEM) for all of Kentucky. This elevation data was acquired through the KyFromAbove Aerial Photography and Elevation Data Program which began in 2012. Complete statewide coverage was achieved in 2017 and Phase2 acquisitions are now underway. The DEM was derived from the ground class within KyFromAbove point cloud data and has a 5-foot point spacing. Kentucky's DEM data specifications were developed by the KyFromAbove Technical Advisory Subcommittee and adopted by the Kentucky Geographic Information Advisory Council (GIAC). More information regarding this data resource can be found on the KyGeoPortal and the KyFromAbove webpage.Special thanks to the many KyFromAbove Program Contributors.

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Oakland County, Michigan (2018). OC 2017 DEM Image Service [Dataset]. https://hub.arcgis.com/datasets/304f61084a5446128454ab065d68cfe0

OC 2017 DEM Image Service

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Dataset updated
May 5, 2018
Dataset authored and provided by
Oakland County, Michigan
Area covered
Description

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS and bare earth DEM data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.2, QL2. 19.6 cm NVA.This metadata record describes the hydro-flattened bare earth digital elevation model (DEM) derived from the classified LiDAR data for the 2017 Michigan LiDAR project covering approximately 907 square miles, in which its extents cover Oakland County.This data is for planning purposes only and should not be used for legal or cadastral purposes. Any conclusions drawn from analysis of this information are not the responsibility of Sanborn Map Company. Users should be aware that temporal changes may have occurred since this dataset was collected and some parts of this dataset may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Contact: State of MichiganDue to the large size of the data, downloading the entire county may not be possible. It is recommended to use the live service directly within ArcMap or ArcGIS Pro. For further questions, contact the Oakland County Service Center at 248-858-8812, servicecenter@oakgov.com.

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