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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>
      <creatorName>Hengl, T.</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-9921-5129</nameIdentifier>
      <affiliation>OpenGeoHub foundation</affiliation>
      <creatorName>Parente, L.</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0003-1589-0467</nameIdentifier>
      <affiliation>OpenGeoHub foundation</affiliation>
    <title>Continental Europe Digital Terrain Model geomorphometry derivatives at 30 m, 100 m and 250 m</title>
    <subject>digital terrain model</subject>
    <subject>topographic wetness index</subject>
    <subject>Continental Europe</subject>
    <date dateType="Issued">2021-02-01</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="Dataset">10.5281/zenodo.4056634</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4486135</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Digital Terrain Model geomorphometry derivatives based on the DTM for Continental Europe using the &lt;a href=""&gt;EPSG:3035&lt;/a&gt; projection system. Processed using &lt;a href=""&gt;SAGA GIS&lt;/a&gt;, &lt;a href=""&gt;GRASS 7 GIS&lt;/a&gt; and &lt;a href=""&gt;GDAL&lt;/a&gt; at 3 standard spatial resolutions: 30-m, 100-m and 250-m. Derivatives include:&lt;/p&gt;

	&lt;li&gt;devmean = deviation from mean value derived using &lt;a href=""&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;downlocal / down = downslope local and general curvature derived using &lt;a href=""&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;hillshade = hillshading derived using using GDAL &lt;a href=""&gt;gdaldem&lt;/a&gt; functions,&lt;/li&gt;
	&lt;li&gt;mnr = Module Melton Ruggedness Number derived using &lt;a href=""&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;northerness/easterness = derived using &lt;a href=""&gt;GRASS 7 GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;openp / openn = openness positive negative derived using &lt;a href=""&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;slope = slope in percent derived using GDAL &lt;a href=""&gt;gdaldem&lt;/a&gt; functions,&lt;/li&gt;
	&lt;li&gt;topidx = a topographic index (wetness index) derived using &lt;a href=""&gt;GRASS 7 GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;tpi = Topographic Wetness Index derived using &lt;a href=""&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;
	&lt;li&gt;vbf = Multiresolution Index of Valley Bottom Flatness derived using &lt;a href=""&gt;SAGA GIS&lt;/a&gt;,&lt;/li&gt;

&lt;p&gt;Detailed processing steps can be found &lt;a href=""&gt;&lt;strong&gt;here&lt;/strong&gt;&lt;/a&gt;. Read more about the processing steps &lt;a href=""&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 (</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.", "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.", "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.", "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.", "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."]}</description>
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