Dataset Open Access
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:
Detailed processing steps can be found here. Read more about the processing steps here.
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.
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., ... & Böhner, 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‐resolution global hydrography map based on latest topography dataset. Water Resources Research, 55(6), 5053-5073. https://doi.org/10.1029/2019WR024873
All versions | This version | |
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Views | 263 | 237 |
Downloads | 126 | 125 |
Data volume | 190.6 GB | 190.6 GB |
Unique views | 225 | 208 |
Unique downloads | 47 | 46 |