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.6个标准深度处的粉粒（粒径2-50/63微米）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，整合全球土壤剖面数据集与环境图层数据生成。该图层是将SoilGrids 250米分辨率的平均预测结果（Poggio等人，2021）重采样至1000米网格单元后的最终产物。