Surface Deformation Monitoring and Prediction of InSAR-Hybrid Deep Learning Model for Subsidence Funnels

Mining subsidence is a pervasive geohazard in coal basins, and precise and reliable deformation monitoring is essential to effective risk mitigation. Conventional time-series Interferometric Synthetic Aperture Radar (InSAR) suffers from vegetation-induced decorrelation and atmospheric delays. Most p...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Fuqiang Wang, Quanming Liu, Ruiping Li, Sinan Wang, Huiqiang Wang, Junzhi Wang, Xiaoming Ma, Liying Zhou, Yanxin Wang
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	DS-InSAR SBAS-InSAR CNN-LSTM prediction Sentinel-1A sedimentation mechanism analysis GACOS
Online Access:	https://www.mdpi.com/2072-4292/17/17/2972