100+ datasets found
  1. U

    1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • data.usgs.gov
    • datadiscoverystudio.org
    • +4more
    Updated Feb 20, 2025
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    U.S. Geological Survey (2025). 1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:77ae0551-c61e-4979-aedd-d797abdcde0e
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    Dataset updated
    Feb 20, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

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

    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter 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. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

  2. G

    High Resolution Digital Elevation Model (HRDEM) - CanElevation Series

    • open.canada.ca
    • catalogue.arctic-sdi.org
    esri rest, geotif +5
    Updated Oct 25, 2024
    + more versions
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    Natural Resources Canada (2024). 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
    Oct 25, 2024
    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.

  3. d

    1/3rd arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Mar 11, 2025
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    U.S. Geological Survey (2025). 1/3rd arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/1-3rd-arc-second-digital-elevation-models-dems-usgs-national-map-3dep-downloadable-data-co
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is 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 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. The seamless 1/3arc-second DEM is available as pre-staged current and historical products tiled in GeoTIFF format. The seamless 1/3 arc-second DEM layer is updated continually as new data become available in the current folder. Previously created 1 degree blocks are retained in the historical folder with an appended date suffix (YYYMMDD) when they were produced. Other 3DEP products are nationally seamless DEMs in resolutions of 1, and 2 arc seconds. 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. Other 3DEP products include one-meter DEMs produced exclusively from high resolution light detection and ranging (lidar) source data and five-meter DEMs in Alaska as well as various source datasets including the lidar point cloud and interferometric synthetic aperture radar (Ifsar) digital surface models and intensity images. All 3DEP products are public domain.

  4. World - Terrain Elevation Above Sea Level (ELE) GIS Data, (Global Solar...

    • data.subak.org
    • datacatalog.worldbank.org
    geotiff
    Updated Feb 16, 2023
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    World Bank Group (2023). World - Terrain Elevation Above Sea Level (ELE) GIS Data, (Global Solar Atlas) [Dataset]. https://data.subak.org/dataset/world-terrain-elevation-above-sea-level-ele-gis-data-global-solar-atlas
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    geotiffAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    World
    Description

    Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains terrain elevation above sea level (ELE) in [m a.s.l.] covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characeristics: ELE GISdata (GeoTIFF) Data format: GEOTIFF File size : 826.8 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month *For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) *For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).

  5. d

    USGS 1 arc-second Digital Elevation Model

    • catalog.data.gov
    • portal.opentopography.org
    • +2more
    Updated Sep 3, 2021
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    null (Originator) (2021). USGS 1 arc-second Digital Elevation Model [Dataset]. https://catalog.data.gov/dataset/usgs-1-arc-second-digital-elevation-model
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    Dataset updated
    Sep 3, 2021
    Dataset provided by
    null (Originator)
    Description

    This is a 1 arc-second (approximately 30 m) resolution tiled collection of the 3D Elevation Program (3DEP) seamless data products . 3DEP data serve as the elevation layer of The National Map, and provide basic elevation information for Earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. 3DEP data compose an elevation dataset that consists of seamless layers and a high resolution layer. Each of these layers consists of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. 3DEP data are updated continually as new data become available. Seamless 3DEP data 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 conterminous United States, are referenced to the North American Vertical Datum of 1988 (NAVD 88). The vertical reference will vary in other areas. The elevations in these DEMs represent the topographic bare-earth surface. All 3DEP products are public domain. This dataset includes data over Canada and Mexico as part of an international, interagency collaboration with the Mexico's National Institute of Statistics and Geography (INEGI) and the Natural Resources Canada (NRCAN) Centre for Topographic Information-Sherbrook, Ottawa. For more details on the data provenance of this dataset, visit here and here. Click here for a broad overview of this dataset

  6. d

    Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling...

    • datadiscoverystudio.org
    • data.usgs.gov
    • +5more
    Updated May 21, 2018
    + more versions
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    (2018). Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- South America. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/bdd49e909c2d4324bd7672371d81ec31/html
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    Dataset updated
    May 21, 2018
    Description

    description: This dataset contains the Digital Elevation Model (DEM) for South America from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The data were developed and distributed by processing units. There are 10 processing units for South America. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. sa_dem_3.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180, 180, -90, 90) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60 North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.; abstract: This dataset contains the Digital Elevation Model (DEM) for South America from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The data were developed and distributed by processing units. There are 10 processing units for South America. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. sa_dem_3.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180, 180, -90, 90) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60 North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

  7. w

    Coastal National Elevation Dataset (CoNED) - Topobathymetric Digital...

    • data.wu.ac.at
    • datadiscoverystudio.org
    Updated Jun 8, 2018
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    Department of the Interior (2018). Coastal National Elevation Dataset (CoNED) - Topobathymetric Digital Elevation Model (TBDEM) [Dataset]. https://data.wu.ac.at/schema/data_gov/YTA2NjYyN2QtY2RiNy00NGVkLWIzNGYtYzQ1NTA3MTQ0MDlh
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    georeferenced tagged image file format (geotiff)Available download formats
    Dataset updated
    Jun 8, 2018
    Dataset provided by
    Department of the Interior
    Area covered
    61d4aa2a7f35fac6065bbfa6bf7eefe4750d4239
    Description

    Accurate, high-resolution elevation information is vital to understanding highly dynamic U.S. coastal regions. The new dataset consists of a detailed and highly accurate elevation model incorporating the best available multi-source topographic and bathymetric elevation data. The Coastal National Elevation Database (CoNED) Project - topobathymetric digital elevation models (TBDEMs) integrate hundreds of different data sources including topographic and bathymetric LiDAR point clouds, hydrographic surveys, side-scan sonar surveys, and multibeam surveys obtained from multiple agencies. The LiDAR and bathymetry surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available elevation data. Because bathymetric data is typically referenced to tidal datums (such as Mean High Water or Mean Sea Level), all tidally-referenced heights were transformed into orthometric heights that are normally used for mapping elevation on land (based on the North American Vertical Datum of 1988).

  8. S

    Madagascar - Elevation

    • data.subak.org
    • cloud.csiss.gmu.edu
    • +1more
    geotiff
    Updated Feb 16, 2023
    + more versions
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    KTH Royal Institute of Technology in Stockholm (2023). Madagascar - Elevation [Dataset]. https://data.subak.org/dataset/madagascar-elevation-2008
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    geotiffAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    KTH Royal Institute of Technology in Stockholm
    Area covered
    Madagascar
    Description

    Digital elevation data for Madagascar from CIATs SRTM 90m Digital Elevation Database v4.1. The original USGS/NASA SRTM data was provided in cells of approximately 90m x 90m, which has been processed to fill no-data cells and aggregated to 1km x 1km cells by CIAT [1].

    Reference: [1] Jarvis, A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org)

  9. U.S. Interagency Elevation Inventory (USIEI) - Data Download

    • fisheries.noaa.gov
    zip
    Updated Feb 2, 2021
    + more versions
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    Office for Coastal Management (2021). U.S. Interagency Elevation Inventory (USIEI) - Data Download [Dataset]. https://www.fisheries.noaa.gov/inport/item/64219
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    zipAvailable download formats
    Dataset updated
    Feb 2, 2021
    Dataset provided by
    Office for Coastal Management
    Time period covered
    2016 - Mar 26, 2125
    Area covered
    United States, OCEAN > PACIFIC OCEAN > WESTERN PACIFIC OCEAN > MICRONESIA > NORTHERN MARIANA ISLANDS, OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > AMERICAN SAMOA, OCEAN > ATLANTIC OCEAN, OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS, OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA, OCEAN > PACIFIC OCEAN > WESTERN PACIFIC OCEAN > MICRONESIA > GUAM, OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > VIRGIN ISLANDS, OCEAN > PACIFIC OCEAN, United States
    Description

    The U.S. Interagency Elevation Inventory (USIEI) displays high-accuracy topographic and bathymetric data for the United States and its territories. The project is a collaborative effort between the National Oceanic and Atmospheric Administration, the U.S. Geological Survey, the Federal Emergency Management Agency, the U.S. Department of Agriculture - Natural Resources Conservation Service and U...

  10. z

    Elevation - Dataset - data.govt.nz - discover and use data

    • portal.zero.govt.nz
    Updated Feb 10, 2021
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    portal.zero.govt.nz (2021). Elevation - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/elevation1
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    Dataset updated
    Feb 10, 2021
    Description

    The Elevation Database contains a collection of separate datasets related to landscape morphology representing a visual snap shot of the earth’s surface. Different instruments and collection methods are used for the different datasets, and the spatial resolution of the datasets are variable. LiDAR data is open source data obtained from LINZ (https://data.linz.govt.nz/search/?q=LiDAR). GNS Staff, logged in to the Dataset Catalog can access details of the following datasets: o Fixed-wing Aerial Lidar https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/95c0bb51-a0a6-4fcd-a478-57180881175e o Terrestrial Laser Scanning o UAV

  11. SRTM Digital Elevation Data Version 4

    • developers.google.com
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    SRTM Digital Elevation Data Version 4 [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/CGIAR_SRTM90_V4
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    Dataset provided by
    CGIARhttp://cgiar.org/
    Time period covered
    Feb 11, 2000 - Feb 22, 2000
    Area covered
    Description

    The Shuttle Radar Topography Mission (SRTM) digital elevation dataset was originally produced to provide consistent, high-quality elevation data at near global scope. This version of the SRTM digital elevation data has been processed to fill data voids, and to facilitate its ease of use.

  12. H

    Texas Basemap - Lidar Elevation Data (DEM)

    • hydroshare.org
    • beta.hydroshare.org
    • +2more
    zip
    Updated Nov 3, 2023
    + more versions
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    Texas Basemap - Lidar Elevation Data (DEM) [Dataset]. https://www.hydroshare.org/resource/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/]

  13. d

    Ground Surface Elevation for Idaho (1/3 arc second, ~10-meter)

    • catalog.data.gov
    • gimi9.com
    • +3more
    Updated Nov 30, 2020
    + more versions
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    University of Idaho Library (2020). Ground Surface Elevation for Idaho (1/3 arc second, ~10-meter) [Dataset]. https://catalog.data.gov/dataset/ground-surface-elevation-for-idaho-1-3-arc-second-10-meter
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    Dataset updated
    Nov 30, 2020
    Dataset provided by
    University of Idaho Library
    Area covered
    Idaho
    Description

    The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27 Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters.Source data for this service are from the U.S. Geological Survey. These data were provided to the University of Idaho Library in November, 2004 by Mr. Tracy Fuller, USGS Idaho Mapping Liaison, Boise, Idaho.

  14. SRTM-derived 1 Second Digital Elevation Models Version 1.0

    • ecat.ga.gov.au
    • researchdata.edu.au
    • +1more
    esri:map-service +3
    Updated Sep 16, 2019
    + more versions
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    Commonwealth of Australia (Geoscience Australia) (2019). SRTM-derived 1 Second Digital Elevation Models Version 1.0 [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/aac46307-fce8-449d-e044-00144fdd4fa6
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    www:link-1.0-http--link, esri:map-service, ogc:wms, ogc:wcsAvailable download formats
    Dataset updated
    Sep 16, 2019
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Area covered
    Description

    Note: Geoscience Australia no longer supports users' external hard drives. The data can either be downloaded from the ELVIS Portal or from the Related links. The 1 second Shuttle Radar Topography Mission (SRTM) Digital Elevation Models Version 1.0 package comprises three surface models: the Digital Elevation Model (DEM), the Smoothed Digital Elevation Model (DEM-S) and the Hydrologically Enforced Digital Elevation Model (DEM-H). The DEMs were derived from the SRTM data acquired by NASA in February 2000 and were publicly released under Creative Commons licensing from November 2011 in ESRI Grid format.

    DEM represents ground surface topography, with vegetation features removed using an automatic process supported by several vegetation maps. This provides substantial improvements in the quality and consistency of the data relative to the original SRTM data, but is not free from artefacts. Man-made structures such as urban areas and power line towers have not been treated. The removal of vegetation effects has produced satisfactory results over most of the continent and areas with defects identified in supplementary layers distributed with the data, and described in the User Guide.

    DEM-S represents ground surface topography, excluding vegetation features, and has been smoothed to reduce noise and improve the representation of surface shape. An adaptive smoothing process applied more smoothing in flatter areas than hilly areas, and more smoothing in noisier areas than in less noisy areas. This DEM-S supports calculation of local terrain shape attributes such as slope, aspect and curvature that could not be reliably derived from the unsmoothed 1 second DEM because of noise.

    DEM-H is a hydrologically enforced version of the smoothed DEM-S. The DEM-H captures flow paths based on SRTM elevations and mapped stream lines, and supports delineation of catchments and related hydrological attributes. The dataset was derived from the 1 second smoothed Digital Elevation Model (DEM-S) by enforcing hydrological connectivity with the ANUDEM software, using selected AusHydro V1.6 (February 2010) 1:250,000 scale watercourse lines and lines derived from DEM-S to define the watercourses. The drainage enforcement has produced a consistent representation of hydrological connectivity with some elevation artefacts resulting from the drainage enforcement.

    Further information can be found in the supplementary layers supplied with the data and in the User Guide.

  15. U

    Elevation raster for Pennsylvania StreamStats

    • data.usgs.gov
    Updated Sep 1, 2020
    + more versions
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    Hoffman, Scott A (2020). Elevation raster for Pennsylvania StreamStats [Dataset]. http://doi.org/10.5066/P9ET243Q
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    Dataset updated
    Sep 1, 2020
    Dataset provided by
    United States Geological Survey
    Authors
    Hoffman, Scott A
    License

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

    Time period covered
    1988 - 2018
    Area covered
    Pennsylvania
    Description

    The U.S. Geological Survey (USGS), in cooperation with the Federal Emergency Management Agency, Pennsylvania Department of Environmental Protection, Pennsylvania Department of Transportation, and Susquehanna River Basin Commission, prepared hydro-conditioned geographic information systems (GIS) layers for use in the Pennsylvania StreamStats application. These data were used to update the peak flow and low flow regression equations for Pennsylvania. This dataset consists of digital elevation model rasters for each 8-digit Hydrologic Unit Code (HUC) area in Pennsylvania, one of the layer types needed to delineate watersheds within the HUC-8 areas, merged into a single dataset. The 59 HUCs represented by this dataset are 02040101, 02040102, 02040103, 02040104, 02040105, 02040106, 02040201, 02040202, 02040203, 02040205, 02050101, 02050102, 02050103, 02050104, 02050105, 02050106, 02050107, 02050201, 02050202, 02050203, 02050204, 02050205, 02050206, 02050301, 02050302, 02050303, 02050304, 02 ...

  16. e

    TanDEM-X - Digital Elevation Model (DEM) - Global, 12m

    • data.europa.eu
    unknown
    Updated Oct 12, 2021
    + more versions
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    (2021). TanDEM-X - Digital Elevation Model (DEM) - Global, 12m [Dataset]. https://data.europa.eu/data/datasets/5eecdf4c-de57-4624-99e9-60086b032aea?locale=en
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    unknownAvailable download formats
    Dataset updated
    Oct 12, 2021
    Description

    TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) is an Earth observation radar mission that consists of a SAR interferometer built by two almost identical satellites flying in close formation. With a typical separation between the satellites of 120m to 500m a global Digital Elevation Model (DEM) has been generated. The main objective of the TanDEM-X mission is to create a precise 3D map of the Earth's land surfaces that is homogeneous in quality and unprecedented in accuracy. The data acquisition was completed in 2015 and production of the global DEM was completed in September 2016. The absolute height error is with about 1m an order of magnitude below the 10m requirement.

    The TanDEM-X 12m DEM is the nominal product variant of the global Digital Elevation Model (DEM) acquired in the frame of the German TanDEM-X mission between 2010 and 2015 with a spatial resolution of 0.4 arcseconds (12m at the equator). It covers all Earth’s landmasses from pole to pole.

    For more information concerning the TanDEM-X mission, the reader is referred to: https://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10378/

  17. a

    Topobathymetric Elevation Model of Chesapeake Bay

    • hub.arcgis.com
    • data-chesbay.opendata.arcgis.com
    • +1more
    Updated Nov 10, 2020
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    Chesapeake Geoplatform (2020). Topobathymetric Elevation Model of Chesapeake Bay [Dataset]. https://hub.arcgis.com/documents/621696fd1a6e42e69e34770cb9a6fb64
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    Dataset updated
    Nov 10, 2020
    Dataset authored and provided by
    Chesapeake Geoplatform
    Description

    Open the Data Resource: https://www.usgs.gov/special-topics/coastal-national-elevation-database-applications-project/science/hurricane-sandy-1 Hurricane Sandy had significant impacts throughout the Chesapeake Bay, altering the topography and ecosystems of this populous coastal region. In response to the storm, the U.S. Geological Survey (USGS) Coastal and Marine Geology Program in collaboration with USGS National Geospatial Program and National Oceanic and Atmospheric Administration (NOAA) developed three-dimensional (3D) topobathymetric elevation models for the Chesapeake Bay area. The Chesapeake Bay TBDEM integrates over 261 different data sources, including topographic and bathymetric LiDAR point clouds, hydrographic surveys, side-scan sonar surveys and multi-beam surveys obtained from USGS, NOAA, the U.S. Army Corps of Engineers (USACE), Federal Emergency Management Agency (FEMA), and other state and local agencies. The LiDAR and bathymetry surveys were sorted and prioritized based on survey date, accuracy, spatial distribution and point density to develop a model based on the best available elevation data. Because bathymetric data are typically referenced to tidal referenced datums (such as Mean High Water or Mean Low Water), all tidally-referenced heights were transformed into orthometric heights that are normally used for mapping elevation on land (based on the North American Vertical Datum of 1988). The spatial resolution is 1 meter and includes the Chesapeake Bay region, District of Columbia, and States of Delaware, Maryland, Pennsylvania and Virginia. The temporal range of the input topography and bathymetry is 1859 to 2015.

  18. d

    Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Asia [Dataset]. https://catalog.data.gov/dataset/digital-elevation-model-dem-from-the-hydrologic-derivatives-for-modeling-and-analysis-hdma-9aa77
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This dataset contains the Digital Elevation Model (DEM) grid for the Asian continent from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Asia. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. as_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

  19. a

    SRTM v4.1 (CGIAR-CSI)

    • hub.arcgis.com
    • data.amerigeoss.org
    • +2more
    Updated Sep 19, 2017
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    International Digital Elevation Model Service (2017). SRTM v4.1 (CGIAR-CSI) [Dataset]. https://hub.arcgis.com/documents/b2b734ca41724735b2e57597728252e6
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    Dataset updated
    Sep 19, 2017
    Dataset authored and provided by
    International Digital Elevation Model Service
    Description

    SRTM v4.1 is based on the finished-grade 2006 SRTM v2 release by NASA that was post-processed and published in 2008 by CGIAR-CSI (Consortium for Spatial Information). The SRTM v4.1 data set offers 3 arc-second (approximately 90 meters) spatial resolution and covers about 80% of Earth’s landmass, between 60° North and 56° South. SRTM v4.1 is divided onto 5° x 5° of latitude and longitude tiles in “geographic” projection, shown here.

    The original SRTM v2 release contained voids (areas not or not well observed by the SRTM radar), mostly occurring in topographically steep terrain. The overcome this problem, CGIAR-CSI focused on filling the voids (holes) using various interpolation techniques, such as Kriging, moving window averaging, and importantly, the use of auxiliary elevation data sets (DEMs from other sources, e.g., national DEMs). CGIAR-CSI DEM v4.1 data comes at 5 deg x 5 deg tiles, and has a typical file size of 23 MB for one tile, which comprises two kinds of information; the DEM file and a mask file. The mask file is a binary file which identifies areas within the DEM that have been interpolated. The SRTM v4.1 datasets are available in ArcInfo ASCII and GeoTIFF (.tif) formats.

    Geodetic information: The SRTM V4.1 DEMs are vertically referenced to the EGM96 geoid and horizontally referenced to the WGS84 (World Geodetic System 1984).

    Further notes: This data set contains artefacts, e.g., pits or steps, over parts of the Himalayas, the Andes and other mountainous regions. Artefacts in SRTM v4.1 tend to occur over void-filled areas. The SRTM DEM represents bare ground elevations only where vegetation cover and buildings are absent. Over most areas, the DEM elevations reside between the bare ground (terrain) and top of canopies (surface), so are technically a mixture of a terrain and surface model.

    Data access to the v4.1 data set: A detailed description is found at http://www.cgiar-csi.org/data/srtm-90m-digital-elevation-database-v4-1 and access is possible via the data search page on http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp.

    References:Reuter H.I, A. Nelson, A. Jarvis, 2007, An evaluation of void filling interpolation methods for SRTM data, International Journal of Geographic Information Science, 21:9, 983-1008. Available on http://srtm.csi.cgiar.org/download/Reuteretal2007.pdf

  20. a

    Digital Elevation Model of Ohio

    • gis-odnr.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Digital Elevation Model of Ohio [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/digital-elevation-model-of-ohio
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Area covered
    Ohio
    Description

    Download .zipThis grid dataset is a digital-elevation model (DEM) for Ohio and portions of Pennsylvania, West Virginia, Kentucky, Indiana, and Michigan. The grid dataset was initially extracted from the United States Geological Survey (USGS) National Elevation Dataset (NED), which has a grid cell size of 30 meters.

    Even though the NED dataset was produced to provide a seamless and consistent DEM data across the United States, there were still visible errors associated with USGS Level 1 DEM's. These errors were removed and replaced with new grids derived from the USGS Digital Line Graph (DLG) hypsography. The resulting DEM will be used in the analysis of geological features with respect to the earth's surface, and will be one component of cartographic basemaps.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesOffice of Information TechnologyGIS Records2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

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U.S. Geological Survey (2025). 1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:77ae0551-c61e-4979-aedd-d797abdcde0e

1 meter Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection

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53 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 20, 2025
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
U.S. Geological Survey
License

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

Description

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter 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. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

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