Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...
Abstract: The interaction between terrestrial water storage (TWS) and drought is a crucial aspect of hydrological dynamics. We utilized data from the gravity recovery and climate experiment (GRACE) to ...
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