Predicted USDA soil suborders at 250 m (probabilities)

• Main Authors: Hengl, Tomislav, Nauman, Travis
• Format: Dataset
• Language: English
• Published: Zenodo 2019
• Subjects: LandGIS; soil type; USDA soil taxonomy; Gonzalez; antartic*
• Online Access: https://dx.doi.org/10.5281/zenodo.2657407; https://zenodo.org/record/2657407

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: 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, 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, : {"references": ["Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, Blagoti\u0107 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."]}