Dataset Open Access

Continental Europe Digital Terrain Model geomorphometry derivatives at 30 m, 100 m and 250 m

Hengl, T.; Parente, L.


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    "description": "<p>Digital Terrain Model geomorphometry derivatives based on the DTM for Continental Europe using the <a href=\"https://epsg.io/3035\">EPSG:3035</a> projection system. Processed using <a href=\"http://www.saga-gis.org/\">SAGA GIS</a>, <a href=\"https://grass.osgeo.org/grass78/\">GRASS 7 GIS</a> and <a href=\"https://gdal.org/programs/gdaldem.html\">GDAL</a> at 3 standard spatial resolutions: 30-m, 100-m and 250-m. Derivatives include:</p>\n\n<ul>\n\t<li>devmean = deviation from mean value derived using <a href=\"http://www.saga-gis.org/saga_tool_doc/7.4.0/statistics_grid_1.html\">SAGA GIS</a>,</li>\n\t<li>downlocal / down = downslope local and general curvature derived using <a href=\"http://www.saga-gis.org/saga_tool_doc/7.1.1/ta_morphometry_26.html\">SAGA GIS</a>,</li>\n\t<li>hillshade = hillshading derived using using GDAL <a href=\"https://gdal.org/programs/gdaldem.html\">gdaldem</a> functions,</li>\n\t<li>mnr = Module Melton Ruggedness Number derived using <a href=\"http://www.saga-gis.org/saga_tool_doc/2.2.4/ta_hydrology_23.html\">SAGA GIS</a>,</li>\n\t<li>northerness/easterness = derived using <a href=\"https://grass.osgeo.org/grass78/manuals/addons/r.northerness.easterness.html\">GRASS 7 GIS</a>,</li>\n\t<li>openp / openn = openness positive negative derived using <a href=\"http://www.saga-gis.org/saga_tool_doc/2.2.5/ta_lighting_5.html\">SAGA GIS</a>,</li>\n\t<li>slope = slope in percent derived using GDAL <a href=\"https://gdal.org/programs/gdaldem.html\">gdaldem</a> functions,</li>\n\t<li>topidx = a topographic index (wetness index) derived using <a href=\"https://grass.osgeo.org/grass76/manuals/r.topidx.html\">GRASS 7 GIS</a>,</li>\n\t<li>tpi = Topographic Wetness Index derived using <a href=\"http://www.saga-gis.org/saga_tool_doc/2.1.3/ta_hydrology_20.html\">SAGA GIS</a>,</li>\n\t<li>vbf = Multiresolution Index of Valley Bottom Flatness derived using <a href=\"http://www.saga-gis.org/saga_tool_doc/2.2.6/ta_morphometry_8.html\">SAGA GIS</a>,</li>\n</ul>\n\n<p>Detailed processing steps can be found <a href=\"https://gitlab.com/geoharmonizer_inea/spatial-layers\"><strong>here</strong></a>. Read more about the processing steps <a href=\"https://opendatascience.eu/building-continental-europe-digital-terrain-model-30-m-resolution-using-machine-learning\"><strong>here</strong></a>.</p>\n\n<p>Derivatives were chosen aiming to support soil and vegetation mapping projects. The slope.percent map at 30-m has been converted from 0-100% scale to 0-200% (Byte format) to help decrease the file size.</p>", 
    "language": "eng", 
    "title": "Continental Europe Digital Terrain Model geomorphometry derivatives at 30 m, 100 m and 250 m", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "notes": "This work has received funding from the European Union's the Innovation and Networks Executive Agency (INEA) under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).", 
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    "references": [
      "Amatulli, G., McInerney, D., Sethi, T., Strobl, P., & Domisch, S. (2020). Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers. Scientific Data, 7(1), 1-18. https://doi.org/10.1038/s41597-020-0479-6", 
      "Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., ... & B\u00f6hner, J. (2015). System for automated geoscientific analyses (SAGA) v. 2.1. 4. Geoscientific Model Development, 8(7), 1991-2007.", 
      "Dubayah, R., Blair, J. B., Goetz, S., Fatoyinbo, L., Hansen, M., Healey, S., ... & Silva, C. (2020). The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography. Science of remote sensing, 1, 100002. https://doi.org/10.1016/j.srs.2020.100002", 
      "Grohmann, C. H. (2018). Evaluation of TanDEM-X DEMs on selected Brazilian sites: Comparison with SRTM, ASTER GDEM and ALOS AW3D30. Remote Sensing of Environment, 212, 121-133. https://doi.org/10.1016/j.rse.2018.04.043", 
      "Neteler, M., & Mitasova, H. (2013). Open source GIS: a GRASS GIS approach (Vol. 689). Springer Science & Business Media.", 
      "Uuemaa, E., Ahi, S., Montibeller, B., Muru, M., & Kmoch, A. (2020). Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM). Remote Sensing, 12(21), 3482. https://doi.org/10.3390/rs12213482", 
      "Yamazaki, D., Ikeshima, D., Sosa, J., Bates, P. D., Allen, G. H., & Pavelsky, T. M. (2019). MERIT Hydro: a high\u2010resolution global hydrography map based on latest topography dataset. Water Resources Research, 55(6), 5053-5073. https://doi.org/10.1029/2019WR024873"
    ], 
    "keywords": [
      "digital terrain model", 
      "geomorphometry", 
      "slope", 
      "topographic wetness index", 
      "Continental Europe"
    ], 
    "publication_date": "2021-02-01", 
    "creators": [
      {
        "orcid": "0000-0002-9921-5129", 
        "affiliation": "OpenGeoHub foundation", 
        "name": "Hengl, T."
      }, 
      {
        "orcid": "0000-0003-1589-0467", 
        "affiliation": "OpenGeoHub foundation", 
        "name": "Parente, L."
      }
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