Published December 24, 2018
| Version v0.2
Dataset
Open
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
Description
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail here. Antarctica is not included.
To access and visualize maps use: OpenLandMap.org
If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:
- Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues
- General questions and comments: https://disqus.com/home/forums/landgis/
All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:
- sol = theme: soil,
- coarsefrag.vfraction = variable: coarse fragments volumetric fraction,
- usda.3b1 = determination method: laboratory method code,
- m = mean value,
- 250m = spatial resolution / block support: 250 m,
- b10..10cm = vertical reference: 10 cm depth below surface,
- 1950..2017 = time reference: period 1950-2017,
- v0.2 = version number: 0.2,
Files
sol_coarsefrag.vfraction_usda.3b1_m.png
Files
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Additional details
References
- Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0.