Results 81 to 90 of about 987 (171)

Optimized Landslide Susceptibility Mapping and Modelling Using the SBAS-InSAR Coupling Model

Remote Sensing
Landslide susceptibility mapping (LSM) can accurately estimate the location and probability of landslides. An effective approach for precise LSM is crucial for minimizing casualties and damage. The existing LSM methods primarily rely on static indicators, such as geomorphology and hydrology, which are closely associated with geo-environmental ...
Xueling Wu, Xiaoshuai Qi, Bo Peng, Junyang Wang   +3 more
openaire   +2 more sources

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

Identification of Landslides in Mountainous Area with the Combination of SBAS-InSAR and Yolo Model. [PDF]

Sensors (Basel), 2022
Guo H, Yi B, Yao Q, Gao P, Li H, Sun J, Zhong C.   +6 more
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

Identifying Potential Landslides in Low-Coherence Areas Using SBAS-InSAR: A Case Study of Ninghai County, China

Geosciences
The southeastern coastal regions of China are characterized by typical hilly terrain with abundant rainfall throughout the year, leading to frequent geological hazards.
Jin Xu, Shijie Ge, Chunji Zhuang, Xixuan Bai, Jianfeng Gu, Bingqiang Zhang   +5 more
doaj   +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

A landslide susceptibility assessment method using SBAS-InSAR to optimize Bayesian network

Frontiers in Environmental Science
Landslide susceptibility assessment is crucial to mitigate the severe impacts of landslides. Although Bayesian network (BN) has been widely used in landslide susceptibility assessment, no study has compared the accuracy of different BN structure construction methods for this purpose.
Xinyu Gao, Bo Wang, Wen Dai, Yuanmin Liu, Yuanmin Liu   +4 more
openaire   +2 more sources

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

Application of multiple InSAR techniques and SAR data from multi-sources to landslide deformation monitoring: A case study of the Zhixincun landslide in Jilin Province

Zhongguo dizhi zaihai yu fangzhi xuebao
In order to realize effective monitoring of Zhixincun landslide, this paper selected 27 sentinel-1A data in 2017, and conducted deformation monitoring of Zhixincun landslide based on small baseline radar interferometry technology (SBAS-InSAR), and ...
Haiming YU, Yibin ZHANG, Xianghui FANG, Siyu XU, Yuwei XU, Xuqing ZHANG   +5 more
doaj   +1 more source