SoilGrids250m 2.0 - Clay content aggregated 1000m

Clay content (0-2 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个标准深度下，粒径0~2微米的黏粒质量占比（单位：千分比）。本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，依托全球整合的土壤剖面数据集与环境图层。该成果图层是针对每个1000米分辨率栅格单元，对土壤网格（SoilGrids）250米分辨率的平均预测结果（Poggio等，2021）进行重采样后得到的。