SoilGrids250m 2.0 - Volumetric Water Content at 33kPa aggregated 1000m

Volumetric Water Content at 33kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 1000 m cell.

6个标准深度下、33kPa吸力条件下的体积含水量，单位为10⁻³立方厘米每立方厘米（即0.1体积百分比或1毫米每米）。该数据集的预测值采用基于分位数随机森林（Quantile Random Forest）的数字土壤制图方法生成，依托全球土壤剖面数据集与环境图层汇编成果。本数据集为针对每个1000米栅格重采样SoilGrids 250米分辨率平均预测结果（Turek等人，2021）所得的最终成果。