4 datasets found
  1. o

    Data from: DTM

    • opendem.info
    Updated Oct 19, 2018
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    OpenDEM (2018). DTM [Dataset]. https://www.opendem.info/download_srtm.html
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    Dataset updated
    Oct 19, 2018
    Dataset authored and provided by
    OpenDEM
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Computed Digital Terrain Model (DTM) from SRTM data on the basis of OpenStreetMap data (timestamp 3/2011)

  2. D

    Digital Elevation Models Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Market Research Forecast (2025). Digital Elevation Models Report [Dataset]. https://www.marketresearchforecast.com/reports/digital-elevation-models-29694
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Digital Elevation Model (DEM) market, encompassing Digital Surface Models (DSM) and Digital Terrain Models (DTM), is experiencing robust growth, driven by increasing demand across diverse sectors. The market, currently valued at $1034.9 million in 2025, is projected to expand significantly over the forecast period (2025-2033). Key application areas like planning and construction, where DEMs are crucial for site analysis, infrastructure development, and 3D modeling, are fueling this expansion. Furthermore, the aviation industry relies heavily on DEMs for air traffic route planning and navigation, ensuring safe and efficient flight operations. Meteorological services utilize DEMs for accurate weather forecasting and modeling, while geological exploration leverages them for subsurface analysis and resource mapping. Technological advancements, including improved sensor technologies (LiDAR, photogrammetry) and the increasing availability of high-resolution satellite imagery, are further contributing to market growth. While data acquisition costs and processing complexities can pose challenges, the overall market outlook remains positive, supported by the continuous demand for precise and detailed elevation data across a broad range of applications. The geographical distribution of the DEM market is widespread, with North America and Europe currently holding significant market share. However, rapid economic development and infrastructure projects in Asia-Pacific regions, particularly China and India, are expected to drive substantial growth in these markets. Government initiatives promoting digital mapping and spatial data infrastructure are also contributing to market expansion globally. Competition in the DEM market is intense, with a mix of established players and emerging technology providers. The market is characterized by ongoing innovation in data acquisition techniques, processing algorithms, and data delivery platforms. Companies are focusing on developing integrated solutions that combine DEM data with other geospatial information, providing comprehensive analysis and visualization tools for end-users. The future of the DEM market is expected to be shaped by advancements in artificial intelligence (AI) and machine learning (ML), enabling automated data processing, improved accuracy, and enhanced analytical capabilities.

  3. U

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

    • data.usgs.gov
    • datadiscoverystudio.org
    • +4more
    Updated Jan 27, 2017
    + more versions
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    U.S. Geological Survey (2017). 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
    Jan 27, 2017
    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 ...

  4. o

    Improved SRTM datasets for Germany

    • opendem.info
    zip
    Updated Oct 19, 2018
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    OpenDEM (2018). Improved SRTM datasets for Germany [Dataset]. https://www.opendem.info/download_srtm.html
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    zipAvailable download formats
    Dataset updated
    Oct 19, 2018
    Dataset authored and provided by
    OpenDEM
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    Void filled SRTM Digital Surface Model (DSM) and computed Digital Terrain Model (DTM) on the basis of OpenStreetMap data.

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OpenDEM (2018). DTM [Dataset]. https://www.opendem.info/download_srtm.html

Data from: DTM

Related Article
Explore at:
10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 19, 2018
Dataset authored and provided by
OpenDEM
License

Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically

Description

Computed Digital Terrain Model (DTM) from SRTM data on the basis of OpenStreetMap data (timestamp 3/2011)

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