A novel fine-scale identification method for coal mining subsidence basin based on TS-InSAR and subsidence curve characteristics

Abstract The monitoring and accurate identification of coal mining subsidence areas are crucial for protecting surface structures, controlling soil erosion, facilitating ecological restoration, and regulating illegal mining activities. However, existing identification models often heavily depend on...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Shubo Huang, Yifan Zhang, Yueguan Yan, Li Guo, Jibiao Hu, Xiangyang Zhang, Rui Chen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2026-03-01
Schriftenreihe:	Scientific Reports
Schlagworte:	TS-InSAR Mining subsidence Subsidence curve characteristics Coal mining subsidence identification Machine learning
Online-Zugang:	https://doi.org/10.1038/s41598-026-45625-8
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