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Digital Terrain Model geomorphometry derivatives based on the DTM for Continental Europe using the EPSG:3035 projection system. Processed using SAGA GIS, GRASS 7 GIS and GDAL at 3 standard spatial resolutions: 30-m, 100-m and 250-m. Derivatives include:
\n\nDetailed processing steps can be found here. Read more about the processing steps here.
\n\nDerivatives 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.
", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2021-02-01", "publisher": "Zenodo", "references": [ { "reference": "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" }, { "reference": "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." }, { "reference": "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" }, { "reference": "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" }, { "reference": "Neteler, M., & Mitasova, H. (2013). Open source GIS: a GRASS GIS approach (Vol. 689). Springer Science & Business Media." }, { "reference": "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" }, { "reference": "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" } ], "related_identifiers": [ { "identifier": "10.5281/zenodo.4056634", "relation_type": { "id": "issupplementto", "title": { "de": "Erg\u00e4nzt", "en": "Is supplement to" } }, "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "scheme": "doi" } ], "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "digital terrain model" }, { "subject": "geomorphometry" }, { "subject": "slope" }, { "subject": "topographic wetness index" }, { "subject": "Continental Europe" } ], "title": "Continental Europe Digital Terrain Model geomorphometry derivatives at 30 m, 100 m and 250 m", "version": "v0.2" }, "parent": { "access": { "owned_by": { "user": 43652 } }, "communities": {}, "id": "4486135", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.4486135", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.4495449", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:4495449", "provider": "oai" } }, "revision_id": 3, "stats": { "all_versions": { "data_volume": 673440422698.0, "downloads": 403, "unique_downloads": 204, "unique_views": 887, "views": 974 }, "this_version": { "data_volume": 621537111940.0, "downloads": 369, "unique_downloads": 200, "unique_views": 754, "views": 823 } }, "status": "published", "updated": "2021-02-03T12:27:16.870108+00:00", "versions": { "index": 2, "is_latest": true } }