[Input data] High-resolution long-term average groundwater recharge in Africa estimated using random forest regression and residual interpolation
收藏Figshare2023-04-14 更新2026-04-08 收录
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https://figshare.com/articles/dataset/_Input_data_High-resolution_long-term_average_groundwater_recharge_in_Africa_estimated_using_random_forest_regression_and_residual_interpolation/22591438/1
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资源简介：
Input predictor datasets for LTA groundwater recharge maps (doi: 10.6084/m9.figshare.22591375), derived from previously published material are provided at both spatial resolutions 0.5<strong>°</strong> and 0.1<strong>°</strong> for: climate data, soil moisture and the normalized difference vegetation index (NDVI).
提供机构：
Pazola, Anna
创建时间：
2023-04-14
