Results 11 to 20 of about 47,507 (217)

Review of the SBAS InSAR Time-series algorithms, applications, and challenges

Geodesy and Geodynamics, 2022
In the past 30 years, the small baseline subset (SBAS) InSAR time-series technique has emerged as an essential tool for measuring slow surface displacement and estimating geophysical parameters. Because of its ability to monitor large-scale deformation with millimeter accuracy, the SBAS method has been widely used in various geodetic fields, such as ...
Shaowei Li, Wenbin Xu, Zhiwei Li
openaire   +3 more sources

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   +3 more sources

Detection and assessment of potential landslides in the Xiaojiang River Basin using SBAS-InSAR. [PDF]

Sci Rep
The Xiaojiang River Basin is susceptible to debris flows and landslides due to its unique geological environment and historically frequent human activities.
Zhang J, Zuo X, Li Y, Shi M, Shi C, Huang C, Tang X.   +6 more
europepmc   +2 more sources

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   +3 more sources

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

Sci Rep, 2023
Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters, threatening its regular operations. Predicting landslides along the KKH is challenging due to limitations in techniques, a challenging environment, and data ...
Kulsoom I, Hua W, Hussain S, Chen Q, Khan G, Shihao D.   +5 more
europepmc   +2 more sources

A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method. [PDF]

Sci Rep
In the process of mineral resource extraction, monitoring surface deformation is crucial for ensuring the safety of engineering and ground infrastructure. Monitoring complete three-dimensional surface deformation is particularly significant.
Tao Q, Liu R, Li X, Gao T, Chen Y, Xiao Y, He H, Wei Y.   +7 more
europepmc   +2 more sources

Land Subsidence in the Loess Plateau: SBAS-InSAR Analysis of Yan'an New District During 2017-2022. [PDF]

Sensors (Basel)
Located on the Loess Plateau, the Yan’an New District (YND) has experienced significant geological instability due to large-scale mountain excavation and city construction (MECC).
Hong Y, Chen P, Yao Y, Qiu L, Liu H, Zhu C, Lu J.   +6 more
europepmc   +2 more sources

Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China). [PDF]

Sci Rep
Synthetic aperture radar interferometry (InSAR) technology has emerged as a critical methodology for disaster reduction and prevention, offering unprecedented all-weather operational capabilities and extensive spatial coverage that effectively address ...
Shang J, Wang M, Wang X, Yang M, Wu Y, Du W.   +5 more
europepmc   +2 more sources

Probability Integral Method Parameter Determination by SBAS‐InSAR Technology and GWO Algorithm [PDF]

Journal of Sensors, 2021
This paper proposed a method based on the SBAS‐InSAR and gray wolf optimization algorithm aiming at the time‐consuming and laborious defects of the traditional method used to obtain the expected parameters of the probability integral method and the shortcomings of the InSAR technology in the field of large gradient deformation detection in the mining ...
Tieming Liu, Tongkang Zhang, Lichuan Chen, Weiming Liao, Yun Shi, Danchao Xu   +5 more
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Time series InSAR surface deformation monitoring in extremely difficult area based on track refining control points selection

Zhongguo dizhi zaihai yu fangzhi xuebao, 2021
The extremely difficult area has the characteristics of extremely rugged terrain, complex geographical environment and sparse permanent scatterers. Therefore, an improved SBAS-InSAR technology is designed to monitor the surface deformation. In this paper,
Jianping PAN, Fujiang DENG, Zhengxuan XU, Qiwen XIANG, Wenli TU, Zhanbao FU   +5 more
doaj   +1 more source