Published November 2, 2018
| Version v0.1
Dataset
Open
Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
Description
Clay content in % (kg / kg) 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. Antartica is not included.
To access and visualize maps use: https://landgis.opengeohub.org
All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:
- sol = theme: soil,
- clay.wfraction = variable: sand weight fraction,
- usda.3a1a1a = 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,
- v0.1 = version number: 0.1,
Files
landGIS_clay_content.jpg
Files
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Additional details
References
- USDA-NRCS, (2014) Laboratory Methods Manual (SSIR 42). U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center.
- Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, Blagotić A, et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748.