Data:SoilGrids — global gridded soil information

SoilGrids — global gridded soil information dataset information page

Short Description

Mean soil organic carbon content (dg/kg)
prediction and range between 5 %
and 95 % quantiles in the 5
to 15 cm depth interval, (a) for prediction
and (b) for interquartile range.

Statement: SoilGrids_TM is a system for global digital soil mapping that uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe.

Abstract: SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models. It takes as inputs soil observations from about 240 000 locations worldwide and over 400 global environmental covariates describing vegetation, terrain morphology, climate, geology and hydrology.

Data format

Data type:	Surface properties
Data origin:	Measured
Data format:	GeoTIFF
Other format:	VRT
Data resolution:	250m x 250m
Datum:

Data Coverage

Spatial data coverage: Global
Temporal data coverage: Time snap shot
Time period covered:

Availability

Download data: https://files.isric.org/soilgrids/latest/data/
Data source: https://www.isric.org/explore/soilgrids

References

Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., and Rossiter, D., 2021. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty, SOIL, 7, 217–240, https://doi.org/10.5194/soil-7-217-2021.