SOC mapping
收藏DataCite Commons2025-11-05 更新2025-09-08 收录
下载链接：
https://figshare.com/articles/dataset/SOC_mapping/29002064/1
下载链接
链接失效反馈官方服务：
资源简介：
This study integrates Gaofen-5 hyperspectral data and topographic features to construct multi-dimensional environmental variables, with optimal variables identified via RFE-SHAP for precise SOC mapping in mining areas of the Tibetan Plateau, China. An interpretable RF model, leveraging SHAP values, was employed to determine key predictive variables at global and local scales.
提供机构：
figshare
创建时间：
2025-05-10
