Spatiotemporal prediction of mining-induced surface subsidence using integrated D-InSAR and boltzmann time function models. [PDF]
Zhou W +5 more
europepmc +1 more source
Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges. [PDF]
Fontes M, BakoĊ M, Cunha A, Sousa JJ.
europepmc +1 more source
Spatiotemporal deformation trend assessment based on ICOPS and ICA methods using multitemporal InSAR data in industrial development zones. [PDF]
Fadhillah MF +8 more
europepmc +1 more source
Deformation characteristics and motion process prediction analysis of the Lanbazi landslide in Wanzhou District, Chongqing. [PDF]
Xue H +6 more
europepmc +1 more source
Present-day coastal subsidence and inundation risk to socioeconomic exposure in Chennai City, India. [PDF]
Shastri A, Ojha C.
europepmc +1 more source
Exploring rainfall effects on the Xingfu Dayuan Landslide in Yecheng, Xinjiang, China using time-series InSAR technology and numerical simulation. [PDF]
Tian Z +6 more
europepmc +1 more source
Times series InSAR deformation monitoring of Jinchuan mining area based on mini stack technology. [PDF]
Guo J +6 more
europepmc +1 more source
Space-air-ground remote sensing-based spatial database design for cultivated land monitoring integrated with InSAR analysis. [PDF]
Zhenda W +6 more
europepmc +1 more source
Instability mapping of Dhaka-Kasiani-Gopalganj railway line in Bangladesh with InSAR time series analysis. [PDF]
Kyaw KM, Takeuchi W.
europepmc +1 more source

