SoilGrids250m 2.0 - Silt content aggregated 1000m

Silt content (2-50/63 micro meter) mass fraction in ‰ 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 (Poggio et al. 2021) for each 1000 m cell.

本数据集包含6个标准深度处，粒径为2~50/63微米的粉粒质量分数，单位为千分比（‰）。本预测采用基于分位数随机森林（Quantile Random Forest）的数字土壤制图方法，依托全球汇编的土壤剖面数据与环境图层集完成推导。该图谱为将SoilGrids 250米分辨率的平均预测结果（Poggio等，2021）重采样至每1000米格网后的最终成果。