Results 1 to 10 of about 1,045 (147)
Monitoring and Analysis of Ground Surface Settlement in Mining Clusters by SBAS-InSAR Technology [PDF]
Sensors, 2022 In this paper, we use the small baseline set technology and the early geological hazard identification method based on the selection of Permanent Scatter (PS) and Distributed Scatter (DS) points to carry out the research on surface deformation monitoring caused by underground activities in mining cluster areas.
Hong Chi, Huini Wang
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Assessing the Use of GACOS Products for SBAS-InSAR Deformation Monitoring: A Case in Southern California [PDF]
Sensors, 2019 The Generic Atmospheric Correction Online Service (GACOS) products for interferometric synthetic aperture radar (InSAR) are widely used near-real-time and global-coverage atmospheric delay products which provide a new approach for the atmospheric ...
Bing Xu, Qijie Wang, Guoguang Wei
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Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China) [PDF]
Sensors, 2022 Landslide susceptibility maps (LSM) are often used by government departments to carry out land use management and planning, which supports decision makers in urban and infrastructure planning. The accuracy of conventional landslide susceptibility maps is
Zhifu Zhu, Shu Gan
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Landslide Susceptibility Mapping of Karakorum Highway Combined with the Application of SBAS-InSAR Technology [PDF]
Sensors, 2019 Geological conditions along the Karakorum Highway (KKH) promote the occurrence of frequent natural disasters, which pose a serious threat to its normal operation. Landslide susceptibility mapping (LSM) provides a basis for analyzing and evaluating the degree of landslide susceptibility of an area.
, Guan Chen, Xingmin Meng
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Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data [PDF]
Sensors, 2019 Wuhan city is the biggest city in central China and has suffered subsidence problems in recent years because of its rapid urban construction. However, longtime and wide range monitoring of land subsidence is lacking. The causes of subsidence also require
Yaolin Liu, Yi Liu, Yiyun Chen
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Identification of Landslides in Mountainous Area with the Combination of SBAS-InSAR and Yolo Model. [PDF]
Sensors (Basel), 2022 Landslides have been frequently occurring in the high mountainous areas in China and poses serious threats to peoples’ lives and property, economic development, and national security. Detecting and monitoring quiescent or active landslides is important for predicting risks and mitigating losses. However, traditional ground survey methods, such as field
Guo H +6 more
europepmc +4 more sources
Remote Sensing, 2022 In the InSAR solution, the uneven distribution of permanent scatterer candidates (PSCs) or slowly decoherent filtering phase (SDFP) pixel density in a region of variable radar reflection feature can cause local low accuracy in single interferometry. PSCs
Peng Zhang, Shuangfeng Guo
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Remote Sensing, 2022 Intensive and large-scale underground coal mining has caused geological disasters such as local ground subsidence, cracks and collapse in the Datong coalfield, China, inducing serious threats to local residents.
Hongdong Fan +2 more
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An Improved SBAS-InSAR Processing Method Considering Phase Consistency: Application to Landslide Monitoring in Hualong County, Qinghai Province, China [PDF]
SensorsPhase consistency is a critical prerequisite for achieving high-precision time-series InSAR deformation retrieval. However, conventional SBAS-InSAR methods provide only limited consideration of phase consistency during the inversion process.
Wulinhong Luo +8 more
doaj +2 more sources
GIScience and Remote Sensing, 2022 Surface deformation data can be used to provide early warnings of geohazards and are useful in a variety of research fields. The Small BAseline Subset InSAR (SBAS-InSAR) boosts the data sampling rate and improves the accuracy of deformation extraction by
Hao Cui, Guo Zhang, Zhenwei Chen
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