250 m-gridded soil texture at multiple depths of Midwest Brazil

Maps of clay, silt and sand contents (g kg-1) were predicted at 0-20 cm, 20-60 cm and 60-100 cm depths intervals by random forest regression in Google Earth Engine. Gridded soil information covers a part of the 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.

本数据集采用随机森林回归（Random Forest Regression）方法，在谷歌地球引擎（Google Earth Engine）平台中完成建模预测，生成了巴西中西部部分区域（南纬12°至20°、西经45°至54°）0-20 cm、20-60 cm及60-100 cm三个深度层段的黏土、粉粒与砂粒含量空间分布图，含量单位为克每千克（g kg⁻¹）。
该网格化土壤数据的空间分辨率为250米，覆盖上述划定的研究区域。
本数据集已通过交叉验证，所有深度层段的决定系数（Coefficient of Determination）取值范围为0.64至0.85。