Results 81 to 90 of about 1,103 (167)

Multi-source remote sensing detection method for shallow-buried coal fire areas

Gong-kuang zidonghua
Single remote sensing techniques cannot simultaneously capture both surface temperature and surface subsidence characteristics, and are susceptible to interference from seasonal variations and human activities, which may lead to misidentification of coal
Zhai Xiaowei, Zhang Jiale, Song Bobo
doaj   +1 more source

A fusion framework of 3D physical model and InSAR monitoring for mining-induced deformation analysis

International Journal of Applied Earth Observations and Geoinformation
Underground resource extraction redistributes subsurface stress, inducing overburden movement and ground deformation. These geomechanical changes can cause ground fissures, slope failures, and collapses, resulting in resource loss, economic damage ...
Teng Wang, Yunjia Wang, Feng Zhao, Sen Du, Nianbin Zhang, Kewei Zhang, Zhongwei Shen, José Fernández   +7 more
doaj   +1 more source

Applicability and Feasibility of InSAR-Based Mining Subsidence Monitoring Under Overburden Isolated Grouting Backfill Mining Conditions

Remote Sensing
With its high spatiotemporal resolution and wide-area coverage, InSAR technology has become an essential tool for monitoring mining-induced surface subsidence.
Zhengpei Zhou, Yufen Niu, Zhong Lu, Xuhai Yang, Zhaojiang Zhang, Ziheng Ju, Jinqi Zhao   +6 more
doaj   +1 more source

Monitoring and analysis of ground subsidence in Shanghai based on PS-InSAR and SBAS-InSAR technologies. [PDF]

Sci Rep, 2023
Zhang Z, Hu C, Wu Z, Zhang Z, Yang S, Yang W.   +5 more
europepmc   +1 more source

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam. [PDF]

Sensors (Basel), 2023
Xie W, Wu J, Gao H, Chen J, He Y.
europepmc   +1 more source

Analysis of land subsidence caused by hydrodynamic force in Loess Hilly and gully region based on SBAS-InSAR. [PDF]

PLoS One, 2023
Liu X, Ma C, Ling H, Yan W, Zhang H, Jiang X.   +5 more
europepmc   +1 more source

SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan. [PDF]

Sci Rep, 2023
Kulsoom I, Hua W, Hussain S, Chen Q, Khan G, Shihao D.   +5 more
europepmc   +1 more source

Dynamic Earth Observation for Landslide Susceptibility Mapping Using Machine Learning and InSAR-Derived Deformation

Applied Sciences
Landslide susceptibility assessment is essential for hazard mitigation and sustainable urban planning, yet many existing approaches rely primarily on static environmental predictors and often neglect active slope deformation.
Anna-Hajnalka Kerekes, Călin Baciu, Szilárd-Lehel Poszet   +2 more
doaj   +1 more source

Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China. [PDF]

Sensors (Basel), 2022
Xiao B, Zhao J, Li D, Zhao Z, Zhou D, Xi W, Li Y.   +6 more
europepmc   +1 more source

Spatiotemporal Evolution and Drivers of Highway Surface Deformation Based on SBAS-InSAR and Geodetector. [PDF]

Sensors (Basel)
Chen Z, Li J, Zhang X, Bi J.
europepmc   +1 more source