79 datasets found
  1. a

    MnTopo Elevation Viewer

    • hub.arcgis.com
    Updated Feb 7, 2017
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    Carver County, Minnesota (2017). MnTopo Elevation Viewer [Dataset]. https://hub.arcgis.com/documents/2ae0c6ccee704c0592030d2f0d5ac9b3
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    Dataset updated
    Feb 7, 2017
    Dataset authored and provided by
    Carver County, Minnesota
    Description

    MnTOPO is a web application for viewing, printing and downloading
    high-resolution elevation data for the State of Minnesota that was collected using LiDAR technology. It runs on a variety of devices including desktop PCs, tablets, and mobile phones. The data you see and download in MnTOPO was made possible by the Minnesota elevation mapping project. MnTOPO is a collaborative effort between staff from the Minnesota
    Information Technology (MN.IT) @ Minnesota Department of Natural Resources and MN.IT @ Minnesota Geospatial Information Office (MnGeo). Funding was provided by the Clean Water Fund of the Clean Water, Land and Legacy Amendment.

  2. c

    CT Elevation Viewer v2

    • geodata.ct.gov
    Updated Apr 1, 2025
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    CT ECO (2025). CT Elevation Viewer v2 [Dataset]. https://geodata.ct.gov/datasets/CTECO::ct-elevation-viewer-v2
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    CT ECO
    Area covered
    Connecticut
    Description

    This viewer is available through CT ECO, a partnership between CT DEEP and UConn CLEAR. DescriptionThe Elevation Viewer contains statewide bare earth elevation. The elevation layers are pixels derived from a Lidar point cloud. The Hillshade, Shaded Relief, Slope, and Aspect are all part of the viewer and are different ways of viewing the bare earth elevation. The Viewer also contains contours, older elevation layers, and reference layers like parcels, aerial imagery, watersheds, and impervious surface. All about elevation on CT ECOLidar FAQ UseTo use the viewer, zoom in and then use the Layer List (upper right) to turn on and off layers (remember to turn OFF the ones above on the list or they will hide layers below) to compare and explore the area. The swipe tool (lower left) is a fun way to compare two datasets, especially aerial imagery with an elevation layer like hillshade or slope. Be sure at least two items are checked on in the layer list and use the swipe tool to compare. Refer to Viewer Help for more details and tips. Tips- lidar points can reach the ground through tree canopy and exceptional at "seeing" features like stone walls that are not easily visible on aerial imagery- "dynamic color" services means that the full range of colors is always displayed no matter what the viewing extent - lidar points can also be used to create surfaces, which are different from bare earth elevation shown in the Elevation Viewer- CT ECO has a 3D Lidar Point Viewer that contains points that have been colored based on summertime aerial imagery

  3. a

    The National Map

    • hub.arcgis.com
    Updated May 2, 2017
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    Environmental Data Center (2017). The National Map [Dataset]. https://hub.arcgis.com/documents/716a8771ec3440dda338d3a67c97bc71
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    Dataset updated
    May 2, 2017
    Dataset authored and provided by
    Environmental Data Center
    Description

    There are a variety of resources available via The National Map homepage, such as static maps, interactive map viewers, and geospatial data. Some of these maps and apps include, the National Map Viewer, the 3D Elevation Program, the National Hydrography Dataset and Hydrography Viewer, the Historical Topographic Map and the US Topo. Via The National Map, historical topographic maps are available to search and download via a variety of options. The 3D Elevation Program (3DEP) provides information about, and access to elevation data meeting the 3DEP guidelines. Users can also access and view the National Hydrography Dataset via the Hydrography viewer; this is similar to the National Map Viewer, however the basemap is based on HUC watersheds. Using the National Map Viewer, users can search for, access and download current 7.5 minute US Topos for the entire country; users can also explore and view other data for their area of interest. Below, find links to the different The National Map resources that were described above. The National Map also provides access to other data and viewers, such as the National Land Cover Database, and The National Map Corps.

  4. a

    Contours

    • hub.arcgis.com
    • snsip-snc.opendata.arcgis.com
    Updated Nov 2, 2019
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    Columbia County Planning (2019). Contours [Dataset]. https://hub.arcgis.com/maps/86007b3ed26941a883d7cf41f359362a
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    Dataset updated
    Nov 2, 2019
    Dataset authored and provided by
    Columbia County Planning
    Area covered
    Description

    The USGS Elevation Contours service from The National Map (TNM) consists of contours generated for the conterminous United States from 1- and 1/3 arc-second elevation data. Small scale contours derived from 1 arc-second data are displayed at scales ranging from 1:577K to 1:72K in The National Map viewer. Contour intervals are 100 foot between 1:577K and 1:144K, and 50 foot at 1:72K. Large scale contours derived from 1/3 arc-second data are displayed at 1:50K (and larger). Large scale contour intervals are variable across the United States depending on complexity of topography. The National Map viewer allows free downloads of public domain contour data in either Esri File Geodatabase or Shapefile formats. The 3D Elevation Program (3DEP) provides elevation data for The National Map and basic elevation information for earth science studies and mapping applications. Scientists and resource managers use elevation data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. For additional information on 3DEP, go to http://nationalmap.gov/3DEP/.

  5. NOAA Office for Coastal Management Coastal Inundation Digital Elevation...

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: North Carolina, Northern [Dataset]. https://catalog.data.gov/dataset/noaa-office-for-coastal-management-coastal-inundation-digital-elevation-model-north-carolina-no1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    North Carolina
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the North Carolina, Northern digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Camden, Chowan, Currituck, Gates, Pasquotank, and Perquimans Counties. The DEM was produced from the following lidar data sets: 1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard 2. 2014 NC Statewide Lidar - Phase 1 The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

  6. G

    High Resolution Digital Elevation Model (HRDEM) - CanElevation Series

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    esri rest, geotif +5
    Updated Jun 17, 2025
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    Natural Resources Canada (2025). High Resolution Digital Elevation Model (HRDEM) - CanElevation Series [Dataset]. https://open.canada.ca/data/en/dataset/957782bf-847c-4644-a757-e383c0057995
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    shp, geotif, html, pdf, esri rest, json, kmzAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Natural Resources Canada
    License

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

    Description

    The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

  7. e

    Digital Elevation Model (AZ 250,000:1)

    • portal.edirepository.org
    • search.dataone.org
    bin
    Updated Jun 3, 2002
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    USGS (2002). Digital Elevation Model (AZ 250,000:1) [Dataset]. http://doi.org/10.6073/pasta/1e9e3fc3f6edab3324be52a017ac28f2
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    binAvailable download formats
    Dataset updated
    Jun 3, 2002
    Dataset provided by
    EDI
    Authors
    USGS
    Time period covered
    Jan 1, 1998
    Area covered
    Variables measured
    Elevation
    Description

    1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.

  8. NOAA Office for Coastal Management Coastal Inundation Digital Elevation...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maryland, East [Dataset]. https://catalog.data.gov/dataset/noaa-office-for-coastal-management-coastal-inundation-digital-elevation-model-maryland-east1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Maryland
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Maryland, East digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Caroline, Dorchester, Queen Anne's, and Talbot Counties. The DEM was produced from the following lidar data sets: 1. 2015 MD/PA Sandy Supplemental LiDAR 2. 2013 Hurricane Sandy Supplemental LiDAR: Caroline, Dorchester 3. 2013 Queen Anne's County HD LiDAR The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

  9. a

    Elevation from Lidar (Image Service)

    • hub.arcgis.com
    • gis.data.mass.gov
    • +2more
    Updated Jul 23, 2020
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    MassGIS - Bureau of Geographic Information (2020). Elevation from Lidar (Image Service) [Dataset]. https://hub.arcgis.com/datasets/49cbba6636fa4c41a5ea162ccf1e41bc
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    Dataset updated
    Jul 23, 2020
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This is a seamless bare earth digital elevation model (DEM) created from lidar terrain elevation data for the Commonwealth of Massachusetts. It represents the elevation of the surface with vegetation and structures removed. The spatial resolution of the map is 1 meter. The elevation of each 1-meter square cell was linearly interpolated from classified lidar-derived point data.This version of the DEM stores the elevation values as integers. The native VALUE field represents the elevation above/below sea level in meters. MassGIS added a FEET field to the VAT (value attribute table) to store the elevation in feet as calculated by multiplying VALUE x 3.28084.Dates of lidar data used in this DEM range from 2010-2015. The overlapping lidar projects were adjusted to the same projection and datum and then mosaicked, with the most recent data replacing any older data. Several very small gaps between the project areas were patched with older lidar data where necessary or with models from recent aerial photo acquisitions. See https://www.mass.gov/doc/lidar-project-areas-original/download for an index map.This DEM is referenced to the WGS_1984_Web_Mercator_Auxiliary_Sphere spatial reference.See the MassGIS datalayer page to download the data as a file geodatabase raster dataset.View this service in the Massachusetts Elevation Finder.

  10. H

    Texas Basemap - Lidar Elevation Data (DEM)

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Nov 3, 2023
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    HydroShare (2023). Texas Basemap - Lidar Elevation Data (DEM) [Dataset]. http://doi.org/10.4211/hs.af6ae321e2ad40a1bc6d0b695370fbfc
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    zip(5.5 GB)Available download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    HydroShare
    License

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

    Area covered
    Texas
    Description

    This resource contains Lidar-DEM collection status shapefiles from the Texas Natural Resources Information System (TNRIS) [http://tnris.org]. November 2023 updates: this year, TNRIS changed its name to Texas Geographic Information Office (TxGIO). The domain name hasn't changed yet, but the data hub is continually evolving. See [1], [2] for current downloadable data.

    For purposes of Hurricane Harvey studies, the 1-m DEM for Harris County (2008) has also been uploaded here as a set of 4 zipfiles containing the DEM in tiff files. See [1] for a link to the current elevation status map and downloadable DEMs.
    Project name: H-GAC 2008 1m Datasets: 1m Point Cloud, 1M Hydro-Enforced DEM, 3D Breaklines, 1ft and 5ft Contours Points per sq meter: 1 Total area: 3678.56 sq miles Source: Houston-Galveston Area Council (H-GAC) Acquired by: Merrick, QA/QC: Merrick Catalog: houston-galveston-area-council-h-gac-2008-lidar

    References: [1] TNRIS/TxGIO StratMap elevation data [https://tnris.org/stratmap/elevation-lidar/] [2] TNRIS/TxGIO DataHub [https://data.tnris.org/]

  11. g

    USGS National Elevation Dataset (NED) 1/9 arc-second Downloadable Data...

    • data.globalchange.gov
    Updated Sep 9, 2016
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    (2016). USGS National Elevation Dataset (NED) 1/9 arc-second Downloadable Data Collection from The National Map 3D Elevation Program (3DEP) - National Geospatial Data Asset (NGDA) National Elevation Data Set (NED) [Dataset]. https://data.globalchange.gov/dataset/usgs-national-elevation-dataset-ned-1-9-arc-second
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    Dataset updated
    Sep 9, 2016
    Description

    This layer of the National Elevation Dataset (NED) is 1/9 arc-second (approximately 3 m) resolution. The 1/9 arc-second NED are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The 1/9 arc-second NED layer provides project-based coverage for portions of the conterminous United States, limited areas of Alaska, and Guam. The 1/9 arc-second NED layer is available as pre-staged products tiled in 15 minute blocks in Erdas .img format. The NED is updated continually as new data become available. For a quick reference to visualize where data exists for this collection see: http://viewer.nationalmap.gov/viewer/?p=ned. All NED data are in the public domain.

  12. A

    The National Map Viewer

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    html
    Updated Aug 9, 2019
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    Energy Data Exchange (2019). The National Map Viewer [Dataset]. https://data.amerigeoss.org/sl/dataset/the-national-map-viewer
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    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Description

    A national interactive map viewer with spatial information compiled by the USGS. US Topography, Geographic Names, Structures, Transportation, Governmental Unit Boundaries, Map Indices, Hydrology, Land Cover, Elevation, Elevation Contours, Imagery, Reference Polygons, Natural Hazards

  13. NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake...

    • fisheries.noaa.gov
    • datadiscoverystudio.org
    • +2more
    Updated Jul 1, 2017
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    Office for Coastal Management (2017). NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake Erie [Dataset]. https://www.fisheries.noaa.gov/inport/item/48055
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    Dataset updated
    Jul 1, 2017
    Dataset provided by
    Office for Coastal Management
    Time period covered
    2006 - 2015
    Area covered
    The Great Lakes, Lake Erie, United States, Sandusky County, Ohio, Ohio, Erie County, Wayne County, Michigan, Ashtabula County, Ohio, New York, Ohio, Michigan
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the NOAA Lake Level Viewer. It depicts potential lake level rise and fall and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a prelimina...

  14. n

    Shuttle Radar Topography Mission (SRTM) Images

    • cmr.earthdata.nasa.gov
    • datasets.ai
    • +4more
    Updated Jan 29, 2016
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    (2016). Shuttle Radar Topography Mission (SRTM) Images [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220566448-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Feb 11, 2000 - Present
    Area covered
    Description

    Culminating more than four years of processing data, NASA and the National Geospatial-Intelligence Agency (NGA) have completed Earth's most extensive global topographic map. The mission is a collaboration among NASA, NGA, and the German and Italian space agencies. For 11 days in February 2000, the space shuttle Endeavour conducted the Shuttle Radar Topography Mission (SRTM) using C-Band and X-Band interferometric synthetic aperture radars to acquire topographic data over 80% of the Earth's land mass, creating the first-ever near-global data set of land elevations. This data was used to produce topographic maps (digital elevation maps) 30 times as precise as the best global maps used today. The SRTM system gathered data at the rate of 40,000 per minute over land. They reveal for the first time large, detailed swaths of Earth's topography previously obscured by persistent cloudiness. The data will benefit scientists, engineers, government agencies and the public with an ever-growing array of uses. The SRTM radar system mapped Earth from 56 degrees south to 60 degrees north of the equator. The resolution of the publicly available data is three arc-seconds (1/1,200th of a degree of latitude and longitude, about 295 feet, at Earth's equator). The final data release covers Australia and New Zealand in unprecedented uniform detail. It also covers more than 1,000 islands comprising much of Polynesia and Melanesia in the South Pacific, as well as islands in the South Indian and Atlantic oceans. SRTM data are being used for applications ranging from land use planning to "virtual" Earth exploration. Currently, the mission's homepage "http://www.jpl.nasa.gov/srtm" provides direct access to recently obtained earth images. The Shuttle Radar Topography Mission C-band data for North America and South America are available to the public. A list of complete public data set is available at "http://www2.jpl.nasa.gov/srtm/dataprod.htm" The data specifications are within the following parameters: 30-meter X 30-meter spatial sampling with 16 meter absolute vertical height accuracy, 10-meter relative vertical height accuracy, and 20-meter absolute horizontal circular accuracy. From the JPL Mission Products Summary, "http://www.jpl.nasa.gov/srtm/dataprelimdescriptions.html". The primary products of the SRTM mission are the digital elevation maps of most of the Earth's surface. Visualized images of these maps are available for viewing online. Below you will find descriptions of the types of images that are being generated:

    • Radar Image
    • Radar Image with Color as Height
    • Radar Image with Color Wrapped Fringes
      -Shaded Relief
    • Perspective View with B/W Radar Image Overlaid
    • Perspective View with Radar Image Overlaid, Color as Height
    • Perspective View of Shaded Relief
    • Perspective View with Landsat or other Image Overlaid
    • Contour Map - B/W with Contour Lines
    • Stereo Pair
    • Anaglypgh

    The SRTM radar contained two types of antenna panels, C-band and X-band. The near-global topographic maps of Earth called Digital Elevation Models (DEMs) are made from the C-band radar data. These data were processed at the Jet Propulsion Laboratory and are being distributed through the United States Geological Survey's EROS Data Center. Data from the X-band radar are used to create slightly higher resolution DEMs but without the global coverage of the C-band radar. The SRTM X-band radar data are being processed and distributed by the German Aerospace Center, DLR.

  15. GIS20 GIS Coverages Defining Konza Elevations

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
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    unknown (2015). GIS20 GIS Coverages Defining Konza Elevations [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-knz%2F220%2F1
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    unknown
    Area covered
    Description

    These data depict the elevation features of Konza Prairie. Record type 1 is a 2 meter resolution digital elevation model (DEM) of Konza Prairie, generated from 2006 LiDAR DEM data collected to standard USGS specifications (GIS200). Record type 3 is a 2010 10 meter (1/3 arc second) resolution National Elevation Dataset (NED) DEM of Konza Prairie (GIS202). Record type 4 is a 10 meter resolution NED DEM of Konza Prairie with a modified 3 kilometer buffer (GIS203). Record type 5 is a USGS topographic map of Konza Prairie (GIS204). These data are available as zipped (.zip) TIFF files (.tif). Data and metadata derived from DASC (record types 1 and 5), http://www.kansasgis.org/. Additional data and metadata derived from USGS (record types 3 and 4), http://www.nationalmap.gov/viewer.html.

  16. m

    Digital Elevation Model (DEM) for the State of Hawaii Statewide Coastal...

    • data.mendeley.com
    Updated Aug 25, 2019
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    Linqiang Yang (2019). Digital Elevation Model (DEM) for the State of Hawaii Statewide Coastal Highway Program Report: Maui, Hawaii [Dataset]. http://doi.org/10.17632/zdmdy8jtsw.1
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    Dataset updated
    Aug 25, 2019
    Authors
    Linqiang Yang
    License

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

    Area covered
    Maui, Hawaii
    Description

    In this project, we use the Light Detection and Ranging (LiDAR) data to create the Digital Elevation Model (DEM). The LiDAR data can be downloaded through the Data Access Viewer of NOAA ( https://coast.noaa.gov/dataviewer/#/lidar/search/). For Maui, the majority of the DEM is created using the data of 2013 U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) Topobathy LiDAR – Local Mean Sea Level (LMSL). For some areas not covered by this data set, we use the LiDAR data from 2006 FEMA LiDAR: Hawaiian Islands and 2007 JALBTCX Hawaii LiDAR: North Coasts of Hawaii (Big Island), Kauai, Maui, Molokai, Oahu, which are accessed in the Data Access Viewer of NOAA. Please read “Description of Digital Elevation Model (DEM) for Maui, Hawaii.docx” for detailed information.

  17. d

    USGS 1/3 arc-second Digital Elevation Model

    • search.dataone.org
    • portal.opentopography.org
    • +2more
    Updated Oct 8, 2023
    + more versions
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    OpenTopography (2023). USGS 1/3 arc-second Digital Elevation Model [Dataset]. https://search.dataone.org/view/sha256%3A3117d68d30db05b575f73572f5f6d58471a02e3803bda18bfd640ef73e8ae5fd
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    Dataset updated
    Oct 8, 2023
    Dataset provided by
    OpenTopography
    Time period covered
    Jan 1, 1923 - Dec 31, 2017
    Area covered
    Description

    This collection of the 3D Elevation Program (3DEP) is at 1/3 arc-second (approximately 10 m) resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. The seamless 1/3 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The vertical reference will vary in other areas. The seamless 1/3 arc-second DEM layer provides coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and in limited areas of Alaska. These seamless DEMs were referred to as the National Elevation Dataset (NED) from about 2000 through 2015 at which time they became the seamless DEM layers under the 3DEP program and the NED name and system were retired. All 3DEP products are public domain.

    Click here for more details on this dataset

  18. g

    USGS - National Map

    • data.geospatialhub.org
    Updated Jul 22, 2021
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    WyomingGeoHub (2021). USGS - National Map [Dataset]. https://data.geospatialhub.org/items/f04d03886d4a480fbc515cc71f583f67
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    Dataset updated
    Jul 22, 2021
    Dataset authored and provided by
    WyomingGeoHub
    Description

    From https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map :"The National Map is a suite of products and services that provide access to base geospatial information to describe the landscape of the United States and its territories. The National Map embodies 11 primary products and services and numerous applications and ancillary services. The National Map supports data download, digital and print versions of topographic maps, geospatial data services, and online viewing. Customers can use geospatial data and maps to enhance their recreational experience, make life-saving decisions, support scientific missions, and for countless other activities. Nationally consistent geospatial data from The National Map enable better policy and land management decisions and the effective enforcement of regulatory responsibilities. The National Map is easily accessible for display on the Web through such products as topographic maps and services and as downloadable data. The geographic information available from The National Map includes boundaries, elevation, geographic names, hydrography, land cover, orthoimagery, structures, and transportation. The majority of The National Map effort is devoted to acquiring and integrating medium-scale (nominally 1:24,000 scale) geospatial data for the eight base layers from a variety of sources and providing access to theresulting seamless coverages of geospatial data. The National Map also serves as the source of base mapping information for derived cartographic products, including 1:24,000 scale US Topo maps and georeferenced digital files of scanned historic topographic maps. Data sets and products from The National Map are intended for use by government, industry, and academia—focusing on geographic information system (GIS) users—as well as the public, especially in support of recreation activities. Other types of georeferenced or mapping information can be added within The National Map Viewer or brought in with The National Map data into a GIS to create specific types of maps or map views and (or) to perform modeling or analyses."

  19. St. Croix, U.S. Virgin Islands 1/3 arc-second MHW Coastal Digital Elevation...

    • datadiscoverystudio.org
    • datasets.ai
    • +3more
    netcdf v.4 classic
    Updated Jul 30, 2014
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    DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (2014). St. Croix, U.S. Virgin Islands 1/3 arc-second MHW Coastal Digital Elevation Model [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/7db4a3b15043420bb8aa7890387a3ee6/html
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    netcdf v.4 classicAvailable download formats
    Dataset updated
    Jul 30, 2014
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    United States Department of Commercehttp://www.commerce.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Environmental Satellite, Data, and Information Service
    Area covered
    Description

    The 1/3 arc-second St. Croix, U.S. Virgin Islands Coastal Digital Elevation Model will be used to support NOAA's tsunami forecast system and for tsunami inundation modeling. This DEM encompasses the Virgin Islands and the adjacent off-shore coastal area.The DEM Global Mosaic is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), along with the global GEBCO_2014 grid: http://www.gebco.net/data_and_products/gridded_bathymetry_data. NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service is a general-purpose global, seamless bathymetry/topography mosaic. It combines DEMs from a variety of near sea-level vertical datums, such as mean high water (MHW), mean sea level (MSL), and North American Vertical Datum of 1988 (NAVD88). Elevation values have been rounded to the nearest meter, with DEM cell sizes going down to 1 arc-second. Higher-resolution DEMs, with greater elevation precision, are available in the companion NAVD88: http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042 and MHW: http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799 mosaics. By default, the DEMs are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Please see NCEI's corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. In this visualization, the elevations/depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png.This is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), with vertical units referenced to mean high water (MHW). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service provides data from many individual DEMs combined together as a mosaic. By default, the rasters are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Alternatively, a single DEM or group of DEMs can be isolated using a filter/definition query or using the 'Lock Raster 'mosaic method in ArcMap. This is one of three services displaying collections of DEMs that are referenced to common vertical datums: North American Vertical Datum of 1988 (NAVD88): http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042, Mean High Water (MHW): http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799, and Mean Higher High Water: http://noaa.maps.arcgis.com/home/item.html?id=9471f8d4f43e48109de6275522856696. In addition, the DEM Global Mosaic is a general-purpose global, seamless bathymetry/topography mosaic containing all the DEMs together. Two services are available: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff Elevation Values: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff and Color Shaded Relief: http://noaa.maps.arcgis.com/home/item.html?id=feb3c625dc094112bb5281c17679c769. Please see the corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. This service has several server-side functions available. These can be selected in the ArcGIS Online layer using 'Image Display ', or in ArcMap under 'Processing Templates '. None: The default. Provides elevation/depth values in meters relative to the NAVD88 vertical datum. ColorHillshade: An elevation-tinted hillshade visualization. The depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png. GrayscaleHillshade: A simple grayscale hillshade visualization. SlopeMapRGB: Slope in degrees, visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/SlopeMapLegend_V7b.png. SlopeNumericValues: Slope in degrees, returning the actual numeric values. AspectMapRGB: Orientation of the terrain (0-360 degrees), visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/AspectMapLegendPie_V7b.png. AspectNumericValues: Aspect in degrees, returning the actual numeric values.

  20. a

    Elevation Contours

    • maps-eastonma.hub.arcgis.com
    Updated Dec 1, 2017
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    Easton, Massachusetts (2017). Elevation Contours [Dataset]. https://maps-eastonma.hub.arcgis.com/datasets/elevation-contours
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    Dataset updated
    Dec 1, 2017
    Dataset authored and provided by
    Easton, Massachusetts
    Area covered
    Description

    Smoothed contours were produced at 2 foot intervals from topographic vector data (breaklines) collected by photogrammetrists. Breaklines denote the major terrain shifts as percieved by viewing the aerial photography stereoscopically. Major breaks, such as the top and bottom of hills were marked with the breaklines. Point data (DTM) was used to supplant the breakline data to provide enough information to model the terrain of the area. The data was collected at scale of 1"= 40'.

    Survey field crews surveyed 14 photo identifiable points used for photo control. All the ground control points were used in the final analytical triangulation solution. The horizontal positions were reported in feet; NAD1983 (2011) Massachusetts State Plane Coordinate System, Mainland Zone, Epoch 2010.00. Elevations were based on the NorthAmerican Vertical Datum, 1988.

    The aerial photographic mission was carried out on April 12, 2017. 459 exposures were taken in 16 flight lines at 3300' AMT resulting in a pixel resolution of 0.22' . The photography was collected with 60% overlap to ensure proper stereo viewing.

    The digital photographs were triangulated using KLT software. The interior orientations of each photo were measured, the photos were tied togther within flight lines and lastly each flight line was tied, creating one single unified block. This block was then projected into Massachusetts State Plane NAD 83 coordinates using the14 aerial photo ground control points that were collected by traditional survey. RMS formulas were used to compute error propagation and reduce error.

    The breakline and dtm data collected through the stereocompilation process was edited in KLT Atlas software to check for continuity. A TIN was generated from the edited topographic data which was then used to produce smoothed contours at 2' intervals. The contour information was then checked for errors and converted into AutoCAD .dxf format for GIS import.

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Carver County, Minnesota (2017). MnTopo Elevation Viewer [Dataset]. https://hub.arcgis.com/documents/2ae0c6ccee704c0592030d2f0d5ac9b3

MnTopo Elevation Viewer

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Dataset updated
Feb 7, 2017
Dataset authored and provided by
Carver County, Minnesota
Description

MnTOPO is a web application for viewing, printing and downloading
high-resolution elevation data for the State of Minnesota that was collected using LiDAR technology. It runs on a variety of devices including desktop PCs, tablets, and mobile phones. The data you see and download in MnTOPO was made possible by the Minnesota elevation mapping project. MnTOPO is a collaborative effort between staff from the Minnesota
Information Technology (MN.IT) @ Minnesota Department of Natural Resources and MN.IT @ Minnesota Geospatial Information Office (MnGeo). Funding was provided by the Clean Water Fund of the Clean Water, Land and Legacy Amendment.

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