100+ datasets found
  1. Global elevation spans by select country

    • statista.com
    Updated Nov 26, 2018
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    Statista (2018). Global elevation spans by select country [Dataset]. https://www.statista.com/statistics/935722/highest-and-lowest-elevation-points-worldwide-by-select-country/
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    Dataset updated
    Nov 26, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    World
    Description

    This statistic displays the countries with the greatest range between their highest and lowest elevation points. China and Nepal share the highest elevation point worldwide, which ascends to an amount of 8848 meters above sea level. Near the city Turpan Pendi, Xinjiang, China's elevation reaches *** meters below sea level.

  2. a

    High Resolution Digital Elevation Model (HRDEM) - CanElevation Series

    • catalogue.arctic-sdi.org
    • ouvert.canada.ca
    • +1more
    Updated Aug 13, 2022
    + more versions
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    (2022). High Resolution Digital Elevation Model (HRDEM) - CanElevation Series [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/957782bf-847c-4644-a757-e383c0057995
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    Dataset updated
    Aug 13, 2022
    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. United States: average elevation in each state or territory as of 2005

    • statista.com
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    Statista, United States: average elevation in each state or territory as of 2005 [Dataset]. https://www.statista.com/statistics/1325529/lowest-points-united-states-state/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2005
    Area covered
    United States
    Description

    The United States has an average elevation of roughly 2,500 feet (763m) above sea level, however there is a stark contrast in elevations across the country. Highest states Colorado is the highest state in the United States, with an average elevation of 6,800 feet (2,074m) above sea level. The 10 states with the highest average elevation are all in the western region of the country, as this is, by far, the most mountainous region in the country. The largest mountain ranges in the contiguous western states are the Rocky Mountains, Sierra Nevada, and Cascade Range, while the Appalachian Mountains is the longest range in the east - however, the highest point in the U.S. is Denali (Mount McKinley), found in Alaska. Lowest states At just 60 feet above sea level, Delaware is the state with the lowest elevation. Delaware is the second smallest state, behind Rhode Island, and is located on the east coast. Larger states with relatively low elevations are found in the southern region of the country - both Florida and Louisiana have an average elevation of just 100 feet (31m) above sea level, and large sections of these states are extremely vulnerable to flooding and rising sea levels, as well as intermittent tropical storms.

  4. U

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

    • data.usgs.gov
    • s.cnmilf.com
    • +4more
    Updated Feb 14, 2025
    + more versions
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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 14, 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 ...

  5. United States: highest point in each state or territory

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). United States: highest point in each state or territory [Dataset]. https://www.statista.com/statistics/203932/highest-points-in-the-united-states-by-state/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2005
    Area covered
    United States
    Description

    At 20,310 feet (6.2km) above sea level, the highest point in the United States is Denali, Alaska (formerly known as Mount McKinley). The highest point in the contiguous United States is Mount Whitney, in the Sierra Nevada mountain range in California; followed by Mount Elbert, Colorado - the highest point in the Rocky Mountains. When looking at the highest point in each state, the 13 tallest peaks are all found in the western region of the country, while there is much more diversity across the other regions and territories.

    Despite being approximately 6,500 feet lower than Denali, Hawaii's Mauna Kea is sometimes considered the tallest mountain (and volcano) on earth. This is because its base is well below sea level - the mountain has a total height of 33,474 feet, which is almost 4,500 feet higher than Mount Everest.

  6. d

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

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 26, 2025
    + more versions
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    U.S. Geological Survey (2025). 1 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/1-arc-second-digital-elevation-models-dems-usgs-national-map-3dep-downloadable-data-collec
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    Dataset updated
    Nov 26, 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 arc-second (approximately 30 m) resolution. The elevations in this Digital Elevation Model (DEM) represent the topographic bare-earth surface. 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 seamless 1 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 arc-second DEM layer provides coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and much of Alaska and Canada. The seamless 1 arc-second DEM is available as pre-staged current and historical products tiled in GeoTIFF format. The seamless 1 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 (YYYYMMDD) when they were produced. Other 3DEP products are nationally seamless DEMs in resolutions of 1 and 1/3 arc-second. 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.

  7. G

    High Resolution Digital Elevation Model Mosaic (HRDEM Mosaic) - CanElevation...

    • open.canada.ca
    fgdb/gdb, html, json +3
    Updated Mar 12, 2025
    + more versions
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    Natural Resources Canada (2025). High Resolution Digital Elevation Model Mosaic (HRDEM Mosaic) - CanElevation Series [Dataset]. https://open.canada.ca/data/en/dataset/0fe65119-e96e-4a57-8bfe-9d9245fba06b
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    json, pdf, html, fgdb/gdb, wms, wcsAvailable download formats
    Dataset updated
    Mar 12, 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 Mosaic provides a unique and continuous representation of the high resolution elevation data available across the country. The High Resolution Digital Elevation Model (HRDEM) product used is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The mosaic is available for both the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) from web mapping services. It is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan. This strategy aims to increase Canada's coverage of high-resolution elevation data and increase the accessibility of the products. Unlike the HRDEM product in the same series, which is distributed by acquisition project without integration between projects, the mosaic is created to provide a single, continuous representation of strategy data. The most recent datasets for a given territory are used to generate the mosaic. This mosaic is disseminated through the Data Cube Platform, implemented by NRCan using geospatial big data management technologies. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The mosaic is available from Web Map Services (WMS), Web Coverage Services (WCS) and SpatioTemporal Asset Catalog (STAC) collections. Accessible data includes the Digital Terrain Model (DTM), the Digital Surface Model (DSM) and derived products such as shaded relief and slope. The mosaic is referenced to the Canadian Height Reference System 2013 (CGVD2013) which is the reference standard for orthometric heights across Canada. Source data for HRDEM datasets used to create the mosaic is acquired through multiple projects with different partners. Collaboration is a key factor to the success of the National Elevation Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

  8. U

    USGS 1 arc-second Digital Elevation Model

    • portal.opentopography.org
    • search.dataone.org
    • +3more
    raster
    Updated Jun 18, 2021
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    OpenTopography (2021). USGS 1 arc-second Digital Elevation Model [Dataset]. http://doi.org/10.5069/G9HX19WN
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    rasterAvailable download formats
    Dataset updated
    Jun 18, 2021
    Dataset provided by
    OpenTopography
    Time period covered
    Jan 1, 1923 - Dec 31, 2017
    Area covered
    Variables measured
    Area, Unit, RasterResolution
    Dataset funded by
    United States Geological Surveyhttp://www.usgs.gov/
    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

  9. w

    National Elevation Dataset for the Western United States

    • data.wu.ac.at
    • search.dataone.org
    zip
    Updated May 12, 2018
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    Department of the Interior (2018). National Elevation Dataset for the Western United States [Dataset]. https://data.wu.ac.at/schema/data_gov/YzM5MGU5ZGYtZTA4ZC00MjM0LWIyYjAtM2Y2YjNmYjAyNzgz
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    zipAvailable download formats
    Dataset updated
    May 12, 2018
    Dataset provided by
    Department of the Interior
    Area covered
    5ae25aa72d08dc4a0d89c63bf7c3a3b05f31656e
    Description

    Digital elevation model used for the conservation assessment of Greater Sage-grouse and sagebrush habitat conducted by the Western Association of Fish and Wildlife Agencies. Digital elevation models were downloaded from the USGS National Elevation Dataset (NED) which was developed by merging the highest-resolution, best quality elevation data available across the United States into a seamless raster format to provide 1:24,000-scale Digital Elevation Model (DEM) data for the conterminous US.

  10. w

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

    • data.wu.ac.at
    • search.dataone.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).

  11. Average elevation in Latin America and the Caribbean 2020, by country

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Average elevation in Latin America and the Caribbean 2020, by country [Dataset]. https://www.statista.com/forecasts/1174406/average-elevation-in-latin-america-by-country
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Argentina
    Description

    This statistic shows a ranking of the estimated average elevation of the land area in 2020 in Latin America, differentiated by country.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

  12. A

    High Resolution Digital Elevation Model (HRDEM) - CanElevation Series

    • data.amerigeoss.org
    • data.wu.ac.at
    esri rest, geotif +4
    Updated Jul 22, 2019
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    Canada (2019). High Resolution Digital Elevation Model (HRDEM) - CanElevation Series [Dataset]. https://data.amerigeoss.org/it/dataset/957782bf-847c-4644-a757-e383c0057995
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    esri rest, pdf, html, shp, kmz, geotifAvailable download formats
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Canada
    Description

    The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Strategy implemented by NRCan. 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 generated. Most of these datasets have optical imagery as their source data. They are generated at a 5 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.

    The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada.

    Complete coverage of the Canadian landmass is gradually implemented. HRDEM datasets are processed and made available as the data is acquired.

    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.

    Collaboration is a key factor to the success of the National Elevation Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

  13. u

    High Resolution Digital Elevation Model Mosaic (HRDEM Mosaic) - CanElevation...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
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    (2025). High Resolution Digital Elevation Model Mosaic (HRDEM Mosaic) - CanElevation Series - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-0fe65119-e96e-4a57-8bfe-9d9245fba06b
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    Dataset updated
    Oct 19, 2025
    License

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

    Area covered
    Canada
    Description

    The High Resolution Digital Elevation Model Mosaic provides a unique and continuous representation of the high resolution elevation data available across the country. The High Resolution Digital Elevation Model (HRDEM) product used is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The mosaic is available for both the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) from web mapping services. It is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan. This strategy aims to increase Canada's coverage of high-resolution elevation data and increase the accessibility of the products. Unlike the HRDEM product in the same series, which is distributed by acquisition project without integration between projects, the mosaic is created to provide a single, continuous representation of strategy data. The most recent datasets for a given territory are used to generate the mosaic. This mosaic is disseminated through the Data Cube Platform, implemented by NRCan using geospatial big data management technologies. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The mosaic is available from Web Map Services (WMS), Web Coverage Services (WCS) and SpatioTemporal Asset Catalog (STAC) collections. Accessible data includes the Digital Terrain Model (DTM), the Digital Surface Model (DSM) and derived products such as shaded relief and slope. The mosaic is referenced to the Canadian Height Reference System 2013 (CGVD2013) which is the reference standard for orthometric heights across Canada. Source data for HRDEM datasets used to create the mosaic is acquired through multiple projects with different partners. Collaboration is a key factor to the success of the National Elevation Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

  14. San Francisco Bay, California 1/3 arc-second MHW Coastal Digital Elevation...

    • ncei.noaa.gov
    • s.cnmilf.com
    • +2more
    html, nc
    Updated Jul 20, 2010
    + more versions
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    NOAA National Geophysical Data Center (2010). San Francisco Bay, California 1/3 arc-second MHW Coastal Digital Elevation Model [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.dem:417
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    html, ncAvailable download formats
    Dataset updated
    Jul 20, 2010
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA National Geophysical Data Center
    Time period covered
    Jan 1, 1922 - Jan 1, 2009
    Area covered
    Description

    NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

  15. w

    Global Multi-Resolution Terrain Elevation Data - National Geospatial Data...

    • data.wu.ac.at
    • dataone.org
    • +2more
    tiff
    Updated Jun 8, 2018
    + more versions
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    Department of the Interior (2018). Global Multi-Resolution Terrain Elevation Data - National Geospatial Data Asset (NGDA) [Dataset]. https://data.wu.ac.at/schema/data_gov/YTFlNmUwMGEtNTUwZC00YjNhLWJmYjQtN2E2YzA5NDg2ZGE5
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    tiffAvailable download formats
    Dataset updated
    Jun 8, 2018
    Dataset provided by
    Department of the Interior
    Area covered
    86e6e42130642a2eac2a329e81f1886153f67b80
    Description

    The USGS and the NGA have collaborated on the development of a notably enhanced global elevation model named the GMTED2010 that replaces GTOPO30 as the elevation dataset of choice for global and continental scale applications. The new model has been generated at three separate resolutions (horizontal post spacing) of 30 arc-seconds (about 1 kilometer), 15 arc-seconds (about 500 meters), and 7.5 arc-seconds (about 250 meters). This new product suite provides global coverage of all land areas from latitude 84 degrees N to 56 degrees S for most products, and coverage from 84 degrees N to 90 degrees S for several products. Some areas, namely Greenland and Antarctica, do not have data available at the 15- and 7.5-arc-second resolutions because the input source data do not support that level of detail. An additional advantage of the new multi-resolution global model over GTOPO30 is that seven new raster elevation products are available at each resolution. The new elevation products have been produced using the following aggregation methods: minimum elevation, maximum elevation, mean elevation, median elevation, standard deviation of elevation, systematic subsample, and breakline emphasis. The systematic subsample product is defined using a nearest neighbor resampling function, whereby an actual elevation value is extracted from the input source at the center of a processing window. Most vertical heights in GMTED2010 are referenced to the Earth Gravitational Model 1996 (EGM 96) geoid (NGA, 2010). In addition to the elevation products, detailed spatially referenced metadata containing attribute fields such as coordinates, projection information, and raw source elevation statistics have been generated on a tile-by-tile basis for all the input datasets that constitute the global elevation model. GMTED2010 is based on data derived from 11 raster-based elevation sources.

  16. U

    National Hydrography Dataset Plus High Resolution (NHDPlus HR) - USGS...

    • data.usgs.gov
    • datasets.ai
    • +1more
    Updated Feb 13, 2025
    + more versions
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    U.S. Geological Survey (2025). National Hydrography Dataset Plus High Resolution (NHDPlus HR) - USGS National Map Downloadable Data Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:0826ab39-e5bd-47e6-ba8f-56f340094f81
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    Dataset updated
    Feb 13, 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

    Time period covered
    2019 - 2023
    Description

    The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated datset of geospatial data layers, including the most current National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced along the network. The VAAs provide capabilities for upstream and downstream navigation with linear referencing, analysis, and modeling. The elevation derived catchments are used to associate other landscape attributes, such as land cover, with stream ...

  17. n

    Shuttle Radar Topography Mission (SRTM) Images

    • cmr.earthdata.nasa.gov
    • datasets.ai
    • +2more
    Updated Jan 29, 2016
    + more versions
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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.

  18. d

    Digital elevation model for Soldier Meadows, Black Rock Desert - High Rock...

    • catalog.data.gov
    • data.usgs.gov
    Updated Nov 26, 2025
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    U.S. Geological Survey (2025). Digital elevation model for Soldier Meadows, Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area [Dataset]. https://catalog.data.gov/dataset/digital-elevation-model-for-soldier-meadows-black-rock-desert-high-rock-canyon-emigrant-tr
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Black Rock Desert
    Description

    A digital elevation model represented by a triangulated irregular network (TIN) was developed for proposed channel restoration at Soldier Meadows, Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada. The TIN was derived from lidar (light imaging, detection, and ranging) of quality level 1 collected in April 2018 by Quantum Spatial (Quantum Spatial Inc, 2018) for the Bureau of Land Management. The DEM also includes points surveyed in August 13-16, 2019, using a real-time kinematic (RTK) global navigation satellite system (GNSS). The lidar data are not included in this USGS publication due to BLM data-release restrictions for this dataset. Contact Bureau of Land Management, Nevada, Winnemucca District office for more information.

  19. d

    Data from: High-resolution digital elevation dataset for Glacier Peak and...

    • dataone.org
    • data.usgs.gov
    • +3more
    Updated Apr 27, 2017
    + more versions
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    Joseph Bard (2017). High-resolution digital elevation dataset for Glacier Peak and vicinity, Washington, based on lidar surveys of August-November, 2014 and June, 2015 [Dataset]. https://dataone.org/datasets/18300163-756b-4641-9698-9622faacf48a
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    Dataset updated
    Apr 27, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Joseph Bard
    Time period covered
    Aug 25, 2014 - Jun 24, 2015
    Area covered
    Description

    Glacier Peak is a 3,214 m (10,544 ft.) stratovolcano composed mainly of dacite. The volcano is located in the Glacier Peak Wilderness Area, in the Mt. Baker-Snoqualmie National Forest, about 100 km (65 mi) northeast of Seattle and 110 km (70 mi) south of the International Boundary with Canada. Since the continental ice sheets receded from the region approximately 15,000 years ago, Glacier Peak has erupted repeatedly during at least six episodes. Two of these eruptions were among the largest in the Cascades during this time period. This DEM (digital elevation model) of Glacier Peak is the product of high-precision airborne lidar (Light Detection and Ranging) surveys performed during August-November, 2014 and June, 2015 by Quantum Spatial under contract with the USGS. This digital map, totaling approximately 475 square miles, represents the ground surface beneath forest cover and contributes to natural hazard monitoring efforts, the study of regional geology, volcanic landforms, and landscape modification during and after future volcanic eruptions, both at Glacier Peak or elsewhere globally. This release is comprised of a DEM dataset accompanied by a hillshade raster, each divided into 18 tiles. Each tile’s bounding rectangle is identical to the extent of the USGS 7.5 minute topographic quadrangles covering the same area. The names of the DEM tiles are eleven characters long (e.g., dem_xxxxxx). The prefix, "dem", indicates the file is a DEM and the last seven characters correspond to the map reference code of the quadrangle defining the tile's spatial extent. Hillshade tile names are denoted by the prefix "hs", but are otherwise identical to the DEM they are derived from.

  20. w

    Alaska 2 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP...

    • data.wu.ac.at
    • data.amerigeoss.org
    arcgrid, esri rest +4
    Updated Aug 1, 2018
    + more versions
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    U.S. Geological Survey, Department of the Interior (2018). Alaska 2 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection [Dataset]. https://data.wu.ac.at/schema/data_gov/ZmY3M2Y2OGUtMGVlNS00OGQ1LThlYzQtZDViZTBkN2YwNzZj
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    arcgrid, img, gridfloat, waf, wms, esri restAvailable download formats
    Dataset updated
    Aug 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

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

    Area covered
    fad55148288cbac479fdb1e305bb419fbb2e44aa
    Description

    This is a tiled collection of the 3D Elevation Program (3DEP) and is 2 arc-second (approximately 60 m) resolution covering Alaska. The elevations in this Digital Elevation Model (DEM) represent the topographic bare-earth surface. 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 seamless 2 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 2 arc-second DEM layer provides coverage of the Alaska only. The seamless 2 arc-second DEM is available as pre-staged products tiled in 1 degree blocks in Erdas .img, ESRI arc-grid, and grid float formats. The seamless 2 arc-second DEM layer is updated continually as new data become available over Alaska. Other 3DEP products are nationally seamless DEMs in resolutions of â and 1 -arc-second. 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.

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Statista (2018). Global elevation spans by select country [Dataset]. https://www.statista.com/statistics/935722/highest-and-lowest-elevation-points-worldwide-by-select-country/
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Global elevation spans by select country

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Dataset updated
Nov 26, 2018
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2018
Area covered
World
Description

This statistic displays the countries with the greatest range between their highest and lowest elevation points. China and Nepal share the highest elevation point worldwide, which ascends to an amount of 8848 meters above sea level. Near the city Turpan Pendi, Xinjiang, China's elevation reaches *** meters below sea level.

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