[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

Life and death of slow-moving landslides

P Lacroix, AL Handwerger, G Bièvre - Nature Reviews Earth & …, 2020 - nature.com
In the most destructive and catastrophic landslide events, rocks, soil and fluids can travel at
speeds approaching several tens of metres per second. However, many landslides …

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 …

Enhanced dynamic landslide hazard map** using MT-InSAR method in the Three Gorges Reservoir Area

C Zhou, Y Cao, X Hu, K Yin, Y Wang, F Catani - Landslides, 2022 - Springer
Landslide hazard map** is essential for disaster reduction and mitigation. The hazard
map produced by the spatiotemporal probability analysis is usually static with false-negative …

InSAR monitoring of cree** landslides in mountainous regions: A case study in Eldorado National Forest, California

Y Kang, Z Lu, C Zhao, Y Xu, J Kim… - Remote Sensing of …, 2021 - Elsevier
Monitoring surface deformation associated with geohazards is a prerequisite for geological
disaster prevention. Interferometric synthetic aperture radar (InSAR) has the ability to …

Inferring slip-surface geometry and volume of cree** landslides based on InSAR: A case study in **sha River basin

Y Kang, Z Lu, C Zhao, W Qu - Remote Sensing of Environment, 2023 - Elsevier
The slip-surface geometry and volume of landslides are fundamental for landslide modeling
and mechanism interpretation. The movement of a landslide, which is generally controlled …

Entering the era of earth observation-based landslide warning systems: A novel and exciting framework

K Dai, Z Li, Q Xu, R Bürgmann… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Early warning systems (EWSs) to detect and monitor landslides are a great challenge. They
are important due to the high cost of catastrophic landslides and are challenging because of …

Landslide characterization applying sentinel-1 images and InSAR technique: The muyubao landslide in the three Gorges Reservoir Area, China

C Zhou, Y Cao, K Yin, Y Wang, X Shi, F Catani… - Remote Sensing, 2020 - mdpi.com
Landslides are a common natural hazard that causes casualties and unprecedented
economic losses every year, especially in vulnerable develo** countries. Considering the …

Enhanced Kinematic Inversion of 3‐D Displacements, Geometry, and Hydraulic Properties of a North‐South Slow‐Moving Landslide in Three Gorges Reservoir

W Zheng, J Hu, Z Lu, X Hu, Q Sun, J Liu… - … Research: Solid Earth, 2023 - Wiley Online Library
Abstract Complete three‐dimensional (3‐D) movements of slow‐moving landslides are
critical to enhancing the understanding of the landslide mechanism. Multi‐source synthetic …

Three-dimensional and long-term landslide displacement estimation by fusing C-and L-band SAR observations: A case study in Gongjue County, Tibet, China

X Liu, C Zhao, Q Zhang, Y Yin, Z Lu… - Remote Sensing of …, 2021 - Elsevier
Recently, a large number of synthetic aperture radar (SAR) images has been introduced into
landslide investigations with the growing launch of new SAR satellites, such as …