Published February 1, 2021
| Version v0.2
Dataset
Open
Continental Europe Digital Terrain Model geomorphometry derivatives at 30 m, 100 m and 250 m
Description
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:
- devmean = deviation from mean value derived using SAGA GIS,
- downlocal / down = downslope local and general curvature derived using SAGA GIS,
- hillshade = hillshading derived using using GDAL gdaldem functions,
- mnr = Module Melton Ruggedness Number derived using SAGA GIS,
- northerness/easterness = derived using GRASS 7 GIS,
- openp / openn = openness positive negative derived using SAGA GIS,
- slope = slope in percent derived using GDAL gdaldem functions,
- topidx = a topographic index (wetness index) derived using GRASS 7 GIS,
- tpi = Topographic Wetness Index derived using SAGA GIS,
- vbf = Multiresolution Index of Valley Bottom Flatness derived using SAGA GIS,
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.
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).
Files
001_dtm_derivatives_EU.png
Files
(41.6 GB)
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Additional details
Related works
- Is supplement to
- Dataset: 10.5281/zenodo.4056634 (DOI)
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
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- 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