Results 11 to 20 of about 1,033 (166)

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.
Huini Wang, Hong Chi
exaly   +5 more sources

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.
Xingmin Meng, Guan Chen, Xiaojun Su
exaly   +6 more sources

Adaptively Selecting Interferograms for SBAS-InSAR Based on Graph Theory and Turbulence Atmosphere [PDF]

IEEE Access, 2020
The spatial-temporal baseline threshold method is commonly used to select interferograms for the Small BAseline Subset interferometric synthetic aperture radar (SBAS-InSAR) technique.
Meng Duan, Bing Xu, Zhi-Wei Li, Wen-Hao Wu, Jian-Chao Wei, Yun-Meng Cao, Ji-Hong Liu   +6 more
doaj   +3 more sources

Evaluation of the SBAS InSAR Service of the European Space Agency’s Geohazard Exploitation Platform (GEP) [PDF]

Remote Sensing, 2017
The analysis of remote sensing data to assess geohazards is being improved by web-based platforms and collaborative projects, such as the Geohazard Exploitation Platform (GEP) of the European Space Agency (ESA).
Jorge Pedro Galve, José Vicente Pérez-Peña, José Miguel Azañón, Damien Closson, Fabiana Caló, Cristina Reyes-Carmona, Antonio Jabaloy, Patricia Ruano, Rosa María Mateos, Davide Notti, Gerardo Herrera, Marta Béjar-Pizarro, Oriol Monserrat, Philippe Bally   +13 more
doaj   +7 more sources

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, Yi B, Yao Q, Gao P, Li H, Sun J, Zhong C.   +6 more
europepmc   +4 more sources

Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China

Remote Sensing, 2016
Shenzhen, the first special economic zone of China, has witnessed earth-shaking changes since the late 1980s. In the past 35 years, about 80 km2 of land has been reclaimed from the sea in Shenzhen.
Bing Xu, Guangcai Feng, Zhiwei Li
exaly   +3 more sources

Mapping Surface Deformation in Rwanda and Neighboring Areas Using SBAS-InSAR

Remote Sensing
Surface deformation poses significant risks to urban infrastructure, agriculture, and the environment in many regions worldwide, including Rwanda and the neighboring areas.
Adrien Mugabushaka, Zhenhong Li, Xuesong Zhang, Chuang Song, Bingquan Han, Bo Chen, Zhenjiang Liu, Yi Chen   +7 more
doaj   +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
openaire   +1 more source

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

Deformation Analysis of Guobu Slope based on SBAS-InSAR

Academic Journal of Science and Technology, 2023
The Laxiwa hydropower station reservoir in the upper reaches of the Yellow River basin is located in a canyon zone. Due to its complex terrain and difficult transportation, traditional monitoring methods are difficult to implement in this area, especially during the critical deformation stage when personnel may face danger or encounter difficulty ...
Conghua Li, Long Li, Chonghui Zhang
openaire   +1 more source