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iSDAsoil: soil texture class (USDA system) for Africa predicted at 30 m resolution at 0-20 and 20-50 cm depths

Domain:

geospatialagriculture

Record type:

dataset
Creator:
Hengl, TomislavMiller, MattKrižan, JosipKilibarda, Milan
Publisher:
Zenodo
Host:avatar

iSDAsoil dataset soil texture classes derived from sand, silt and clay fractions at 30 m resolution for 0–20 and 20–50 cm depth intervals. Data has been projected in WGS84 coordinate system and compiled as COG. Predictions have been generated using multi-scale Ensemble Machine Learning with 250 m (MODIS, PROBA-V, climatic variables and similar) and 30 m (DTM derivatives, Landsat, Sentinel-2 and similar) resolution covariates. For model training we use a pan-African compilations of soil samples and profiles (iSDA points, AfSPDB, and other national and regional soil datasets). Cite as:

Hengl, T., Miller, M.A.E., Križan, J. et al. African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. Sci Rep 11, 6130 (2021). https://doi.org/10.1038/s41…

To open the maps in QGIS and/or directly compute with them, please use the Cloud-Optimized GeoTIFF ver….

Layer description:

  • sol_texture.class_c_30m_*..*cm_2001..2017_v0.13_wgs84.tif = soil texture class,

Classes:

Code,Name,Value,Color
Cl,clay,1,#d5c36b
SiCl,silty clay,2,#b96947
SaCl,sandy clay,3,#9d3706
ClLo,clay loam,4,#ae868f
SiClLo,silty clay loam,5,#f86714
SaClLo,sandy clay loam,6,#46d143
Lo,loam,7,#368f20
SiLo,silt loam,8,#3e5a14
SaLo,sandy loam,9,#ffd557
Si,silt,10,#fff72e
LoSa,loamy sand,11,#ff5a9d
Sa,sand,12,#ff005b
NODATA,,255,#ffffff

To submit an issue or request support please visit https://isda-africa.com/isd…

iSDA is a social enterprise with the mission to improve smallholder farmer profitability across Africa. iSDA builds on the legacy of the African Soils information service (AfSIS) project. We are grateful for the outputs generated by all former AfSIS project partners: Columbia University, Rothamsted Research, World Agroforestry (ICRAF), Quantitative Engineering Design (QED), ISRIC — World Soil Information, International Institute of Tropical Agriculture (IITA), Ethiopia Soil Information Service (EthioSIS), Ghana Soil Information Service (GhaSIS), Nigeria Soil Information Service (NiSIS) and Tanzania Soil Information Service (TanSIS). More details on AfSIS partners and data contributors can be found at isda-africa.com

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