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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  <identifier identifierType="DOI">10.5281/zenodo.4495449</identifier>
  <creators>
    <creator>
      <creatorName>Hengl, T.</creatorName>
      <givenName>T.</givenName>
      <familyName>Hengl</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9921-5129</nameIdentifier>
      <affiliation>OpenGeoHub foundation</affiliation>
    </creator>
    <creator>
      <creatorName>Parente, L.</creatorName>
      <givenName>L.</givenName>
      <familyName>Parente</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1589-0467</nameIdentifier>
      <affiliation>OpenGeoHub foundation</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Continental Europe Digital Terrain Model geomorphometry derivatives at 30 m, 100 m and 250 m</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>digital terrain model</subject>
    <subject>geomorphometry</subject>
    <subject>slope</subject>
    <subject>topographic wetness index</subject>
    <subject>Continental Europe</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-02-01</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4495449</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="Dataset">10.5281/zenodo.4056634</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4486135</relatedIdentifier>
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  <version>v0.2</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Digital Terrain Model geomorphometry derivatives based on the DTM for Continental Europe using the &lt;a href="https://epsg.io/3035"&gt;EPSG:3035&lt;/a&gt; projection system. Processed using &lt;a href="http://www.saga-gis.org/"&gt;SAGA GIS&lt;/a&gt;, &lt;a href="https://grass.osgeo.org/grass78/"&gt;GRASS 7 GIS&lt;/a&gt; and &lt;a href="https://gdal.org/programs/gdaldem.html"&gt;GDAL&lt;/a&gt; at 3 standard spatial resolutions: 30-m, 100-m and 250-m. Derivatives include:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;devmean = deviation from mean value derived using &lt;a href="http://www.saga-gis.org/saga_tool_doc/7.4.0/statistics_grid_1.html"&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;downlocal / down = downslope local and general curvature derived using &lt;a href="http://www.saga-gis.org/saga_tool_doc/7.1.1/ta_morphometry_26.html"&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;hillshade = hillshading derived using using GDAL &lt;a href="https://gdal.org/programs/gdaldem.html"&gt;gdaldem&lt;/a&gt; functions,&lt;/li&gt;
	&lt;li&gt;mnr = Module Melton Ruggedness Number derived using &lt;a href="http://www.saga-gis.org/saga_tool_doc/2.2.4/ta_hydrology_23.html"&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;northerness/easterness = derived using &lt;a href="https://grass.osgeo.org/grass78/manuals/addons/r.northerness.easterness.html"&gt;GRASS 7 GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;openp / openn = openness positive negative derived using &lt;a href="http://www.saga-gis.org/saga_tool_doc/2.2.5/ta_lighting_5.html"&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;slope = slope in percent derived using GDAL &lt;a href="https://gdal.org/programs/gdaldem.html"&gt;gdaldem&lt;/a&gt; functions,&lt;/li&gt;
	&lt;li&gt;topidx = a topographic index (wetness index) derived using &lt;a href="https://grass.osgeo.org/grass76/manuals/r.topidx.html"&gt;GRASS 7 GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;tpi = Topographic Wetness Index derived using &lt;a href="http://www.saga-gis.org/saga_tool_doc/2.1.3/ta_hydrology_20.html"&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;vbf = Multiresolution Index of Valley Bottom Flatness derived using &lt;a href="http://www.saga-gis.org/saga_tool_doc/2.2.6/ta_morphometry_8.html"&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Detailed processing steps can be found &lt;a href="https://gitlab.com/geoharmonizer_inea/spatial-layers"&gt;&lt;strong&gt;here&lt;/strong&gt;&lt;/a&gt;. Read more about the processing steps &lt;a href="https://opendatascience.eu/building-continental-europe-digital-terrain-model-30-m-resolution-using-machine-learning"&gt;&lt;strong&gt;here&lt;/strong&gt;&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;</description>
    <description descriptionType="Other">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).</description>
    <description descriptionType="Other">{"references": ["Amatulli, G., McInerney, D., Sethi, T., Strobl, P., &amp; 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., ... &amp; 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., ... &amp; 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., &amp; Mitasova, H. (2013). Open source GIS: a GRASS GIS approach (Vol. 689). Springer Science &amp; Business Media.", "Uuemaa, E., Ahi, S., Montibeller, B., Muru, M., &amp; 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., &amp; 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"]}</description>
  </descriptions>
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