Subsurface multi‐physical monitoring of a reservoir landslide with the fiber‐optic nerve system
X Ye, HH Zhu, J Wang, Q Zhang, B Shi… - Geophysical …, 2022 - Wiley Online Library
Reservoir landslides are typical geohazards with sophisticated thermo‐hydro‐mechanical
interactions. However, direct observations of subsurface multi‐physical processes in bank …
interactions. However, direct observations of subsurface multi‐physical processes in bank …
Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques
This paper describes a novel methodology where Machine Learning Algorithms (MLAs)
have been integrated to assess the landslide risk for slow moving mass movements …
have been integrated to assess the landslide risk for slow moving mass movements …
[HTML][HTML] Thermo-hydro-poro-mechanical responses of a reservoir-induced landslide tracked by high-resolution fiber optic sensing nerves
Thermo-poro-mechanical responses along sliding zone/surface have been extensively
studied. However, it has not been recognized that the potential contribution of other crucial …
studied. However, it has not been recognized that the potential contribution of other crucial …
Shear deformation calculation of landslide using distributed strain sensing technology considering the coupling effect
Deformation monitoring is of great significance in understanding the evolution process of
landslides and evaluating their stability conditions. Distributed strain sensing (DSS) …
landslides and evaluating their stability conditions. Distributed strain sensing (DSS) …
Time and path prediction of landslides using InSAR and flow model
Landslides originating from remote steep slopes render people living downhill vulnerable,
unaware of the impending danger. Identifications of slow-moving mountain slopes are …
unaware of the impending danger. Identifications of slow-moving mountain slopes are …
Polarimetric SAR pixel offset tracking for large-gradient landslide displacement map**
Interferometry and pixel offset tracking (POT) are two major technologies to measure ground
deformation with repeat-pass synthetic aperture radar (SAR) observations. The SAR POT …
deformation with repeat-pass synthetic aperture radar (SAR) observations. The SAR POT …
Deep learning for the detection and phase unwrap** of mining-induced deformation in large-scale interferograms
This article proposes deep convolutional neural networks to detect and map localized, rapid
subsidence caused by mining activities using time-series Sentinel-1 synthetic aperture radar …
subsidence caused by mining activities using time-series Sentinel-1 synthetic aperture radar …
Pre-and post-failure spatial-temporal deformation pattern of the Baige landslide retrieved from multiple radar and optical satellite images
Z **ong, G Feng, Z Feng, L Miao, Y Wang, D Yang… - Engineering …, 2020 - Elsevier
The Baige landslide in southwest China has been active for at least 50 years, and
experienced two failure events on Oct. 10 and Nov. 3, 2018. The rock mass and debris of the …
experienced two failure events on Oct. 10 and Nov. 3, 2018. The rock mass and debris of the …
Complete three-dimensional coseismic displacements due to the 2021 Maduo earthquake in Qinghai Province, China from Sentinel-1 and ALOS-2 SAR images
On 22nd May 2021 (local time), an earthquake of M s7. 4 struck Maduo county in Qinghai
Province, China. This was the largest earthquake in China since the 2008 Wenchuan …
Province, China. This was the largest earthquake in China since the 2008 Wenchuan …
Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with ALOS/PALSAR-2 images
Abstract The Jianshanying landslide in Guizhou province, China, is a typical mining-induced
landslide with its complex formation in karst mountainous area. However, the spatiotemporal …
landslide with its complex formation in karst mountainous area. However, the spatiotemporal …