Dataset Open Access

Soil texture classes (USDA system) for 6 soil depths (0, 10, 30, 60, 100 and 200 cm) at 250 m

Tomislav Hengl

Soil texture classes (USDA system) for 6 standard soil depths (0, 10, 30, 60, 100 and 200 cm) at 250 m. Derived from predicted soil texture fractions using the soiltexture package in R. Processing steps are described in detail here. Antartica is not included.

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

  • sol = theme: soil,
  • texture.class = variable: soil texture class,
  • usda = determination method: USDA texture triangle,
  • c = factor,
  • 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 (2.8 GB)
Name Size
landGIS_soil_texture_class.jpg
md5:5c8f6e62181baffb0a542120b22a1aa9
659.9 kB Download
sol_texture.class_usda.tt_m.sld
md5:772831201f355738b180e9cf94bd6b62
2.1 kB Download
sol_texture.class_usda.tt_m_250m_b0..0cm_1950..2017_v0.2.tif
md5:4248e161b83370f0b07b41f4d5e0acd7
437.3 MB Download
sol_texture.class_usda.tt_m_250m_b10..10cm_1950..2017_v0.2.tif
md5:50b88e39ef2eab8cd653b7dadaf73232
442.7 MB Download
sol_texture.class_usda.tt_m_250m_b100..100cm_1950..2017_v0.2.tif
md5:cbbb106d5324fefa15a579c0b138828d
483.5 MB Download
sol_texture.class_usda.tt_m_250m_b200..200cm_1950..2017_v0.2.tif
md5:47b733a31a12e81ec371a3780f91a1bd
484.0 MB Download
sol_texture.class_usda.tt_m_250m_b30..30cm_1950..2017_v0.2.tif
md5:43a319b6019daed78dce469653f82510
455.3 MB Download
sol_texture.class_usda.tt_m_250m_b60..60cm_1950..2017_v0.2.tif
md5:2a4524fbb899b14188091f39ad1ca387
477.9 MB Download
sol_texture.class_usda.tt_m_250m_b_1950..2017_v0.1.tif.csv
md5:dad356800be2a2833cdd0ae2045f5642
349 Bytes Download
  • Moeys, J., & Shangguan, W. (2015). soiltexture: functions for soil texture plot, classification and transformation. R package version 1.3. 3.

  • 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.

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