Prediction stock of soil organic carbon in Argentina
收藏NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/6323694
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资源简介：
We standardized the Stocks soil organic carbon (SOC) at 0-30 cm depth for 5,073 soil samples. We spatially predicted SOC stock (kg/m2) using regression forest and associated prediction uncertainties using quantile regression forest at 1000 m resolution. Global accuracy based on cross-validation. We obtained a RMSE 2.624 and Rsquared 0.464.
创建时间：
2024-07-17
