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A mining-area surface-subsidence prediction method based on SBAS-InSAR and STL-XGBoost

Abstract Surface subsidence induced by mineral exploitation poses significant risks to surrounding environments, lives, and property in mining areas. Accurate prediction of this subsidence is therefore critical for effective mitigation efforts, but remains challenging due to its complex spatio-tempo...

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書誌詳細
主要な著者: Jiachun Guo, Chenfeng Li
フォーマット: Artigo
言語:Inglês
出版事項: Nature Portfolio 2025-10-01
シリーズ:Scientific Reports
主題:
オンライン・アクセス:https://doi.org/10.1038/s41598-025-21818-5
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