Results 151 to 160 of about 47,507 (217)

A Hybrid Spatio-Temporal Graph Attention (ST D-GAT Framework) for Imputing Missing SBAS-InSAR Deformation Values to Strengthen Landslide Monitoring

Remote Sensing
Reservoir-induced landslides threaten infrastructures and downstream communities, making continuous deformation monitoring vital. Time-series InSAR, notably the SBAS algorithm, provides high-precision surface-displacement mapping but suffers from voids ...
Hilal Ahmad, Yinghua Zhang, Hafeezur Rehman, M. Alam, Zia Ullah, Muhammad Asfandyar Shahid, Majid Khan, Aboubakar Siddique   +7 more
semanticscholar   +1 more source

Wavelet-Based Analysis of Subsidence Patterns and High-Risk Zone Delineation in Underground Metal Mining Areas Using SBAS-InSAR

Land
Underground metal mines operated using the natural caving method often result in significant surface collapses. Key parameters such as settlement magnitude, settlement rate, settlement extent, and the influence of underground mining on surface ...
Jiang Li, Zhuoying Tan, Nuobei Zeng, Linsen Xu, Yinglin Yang, Aboubakar Siddique, Junfeng Dang, Jianbing Zhang, Xin Wang   +8 more
semanticscholar   +1 more source

Comparison Between PS and SBAS InSAR Techniques in Monitoring Shallow Landslides

2020
The main aim of this study is to compare the two commonly used multi-temporal interferometric synthetic aperture radar (InSAR) techniques, i.e. permanent scatterers (PS) and small baseline subset (SBAS), in monitoring shallow landslides. PS and SBAS techniques have been applied to ascending and descending Sentinel-1 SAR data to measure the rate of ...
Xue Chen, Giulia Tessari, Massimo Fabris, Vladimiro Achilli, Mario Floris   +4 more
openaire   +1 more source

Monitoring and Predictive Analysis of Surface Deformation Using Combined SBAS-InSAR Technology and CS-Elman Neural Network: A Case Study of Wenchuan County, Sichuan Province, China

Photogrammetric Engineering & Remote Sensing
Earthquakes deposit loose materials in gullies, making seismic mountain gorges prone to landslides and debris flows. Monitoring and predicting ground deformation in these areas is essential. This study introduces a CS-Elman prediction model based on SBAS-
Kuayue Chen, Baoyun Wang
semanticscholar   +1 more source

Analyzing gully erosion and deposition patterns in loess tableland: Insights from small baseline subset interferometric synthetic aperture radar (SBAS InSAR).

Science of the Total Environment
The fragile Loess Plateau of China suffers substantial gully erosion. It is imperative to elucidate gully erosion patterns for implementing effective erosion control strategies.
Pinglang Kou, Qiang Xu, Zhao Jin, Yuxiang Tao, Ali P. Yunus, Jiangfan Feng, Chuanhao Pu, Shuang Yuan, Ying Xia   +8 more
semanticscholar   +1 more source

Integration of SBAS-InSAR and KTree-AIDW for Surface Subsidence Monitoring in Grouting Mining Areas

Remote Sensing
Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technology, with its advantages in large-scale and high-precision deformation monitoring, has become an essential tool for monitoring surface subsidence in coal mining areas.
Shuaiqi Yan, Junjie Chen, Weitao Yan, Chunsu Zhao, Haoyang Li, Hongtao Peng   +5 more
semanticscholar   +1 more source

Effects of SBAS-InSAR Deformation Integration Methods and Machine Learning Model Selection on Landslide Susceptibility Mapping

IEEE Access
Landslide susceptibility mapping (LSM) is effective in revealing the spatial distribution and probability of landslides. Its accuracy is crucial for minimizing casualties and property loss. However, current LSM methods primarily rely on static indicators,
Zhen Yang, Xiangchao Jiang, Meinan Zheng, Q. Guo   +3 more
semanticscholar   +1 more source

Hybrid Machine Learning and SBAS-InSAR Integration for Landslide Susceptibility Mapping Along the Balakot–Naran Route, Pakistan

Remote Sensing
Natural hazards such as landslides are among the most harmful and recurring hazards to infrastructure, communities, and the environment around the world.
Ibad Ullah, Zhanlong Chen, M. A. Hussain, Safeer Ullah Shah, Nafees Ali   +4 more
semanticscholar   +1 more source

Building Cluster Safety Risk Assessment in Slow‐Moving Landslide Areas Based on SBAS‐InSAR Deformation Monitoring

Structural Control & Health Monitoring
Slow‐moving landslides along reservoir banks often act as precursors to catastrophic failures, which could lead to significant risks to human lives and critical infrastructures. Fortunately, interferometric synthetic aperture radar (InSAR), with its wide‐
Yun Zhou, Xiaofeng Zhou, Shaohao Zou, Yuzhou Liu, F. Yi, Banglin Zhang, Dachuan Chen   +6 more
semanticscholar   +1 more source

Landslides monitoring with SBAS-InSAR and GNSS

Physics and Chemistry of the Earth, Parts A/B/C, 2023
Omid Memarian Sorkhabi, Mohammad Khajehzadeh, Suraparb Keawsawasvong   +2 more
openaire   +1 more source