Gridded 3D dataset of soil texture of Midwest Brazil

Published: 4 October 2019| Version 1 | DOI: 10.17632/52cfcm3xr7.1
Contributors:
Raúl Roberto Poppiel,
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Description

Maps of clay, silt and sand contents (g kg-1) predicted at 0-20 cm, 20-60 cm and 60-100 cm depths intervals (3D) obtained by random forest regression in Google Earth Engine. Gridded soil information covers Midwest Brazil, from 12° S to 20° S and from 45° W to 54° W, and is available with 250m resolution. The maps were cross-validated and had Coefficient of Determination ranging from 0.64 to 0.85 at all depth intervals.

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Steps to reproduce

We harmonized soil clay, silt and sand data from 7,908 sites of the Brazilian Soil Spectral Library and 231 of the Free Brazilian Repository for Open Soil Data. We predicted values at 0-20 cm, 20-60 and 60-100 depth intervals (3D) by using 33 soil covariates and Random Forest modelling-based optimization in Google Earth Engine. Native resolution of 30 m was reduced to 250 m by computing the mean values.

Institutions

Universidade de Brasilia, Universidade de Sao Paulo Campus Luiz de Queiroz

Categories

Ecology, Geology, Pedology, Soil Geography, Soil Management

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