Published May 2, 2019 | Version v0.1
Dataset Open

Predicted USDA soil suborders at 250 m (probabilities)

  • 1. EnvirometriX Ltd
  • 2. USGS

Description

Distribution of the USDA suborders based on machine learning predictions of great groups (https://doi.org/10.5281/zenodo.1476844) from global compilation of soil profiles. To learn more about soil suborders and great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA. Processing steps are described in detail here. Antartica 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:

All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:

  • sol = theme: soil,
  • suborder = variable: USDA suborder,
  • usda.ustolls = determination method: USDA soil taxonomy class Ustolls,
  • p = probability,
  • 250m = spatial resolution / block support: 250 m,
  • s0..0cm = vertical reference: soil surface,
  • 1950..2017 = time reference: period 1950-2017,
  • v0.1 = version number: 0.1,

Files

sol_suborder_usda.soiltax.albolls_p_250m_s0..0cm_1950..2017_v0.1.tif

Files (42.1 GB)

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Additional details

References

  • 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.
  • 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.
  • USDA-NRCS, (2014). Illustrated Guide to Soil Taxonomy: Version 1.0, September 20014, U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center.