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A review of recent earthquake-induced landslides on the Tibetan Plateau
Earthquake-induced landslides, also called seismic landslides (SLs), are some of the most
catastrophic natural hazards on the Tibetan Plateau (TP). They have frequently caused …
catastrophic natural hazards on the Tibetan Plateau (TP). They have frequently caused …
What we have learned from the 2008 Wenchuan Earthquake and its aftermath: A decade of research and challenges
Abstract The 2008 M w 7.9 Wenchuan Earthquake (Sichuan, China) was possibly the largest
and most destructive recent earthquake as far as the geo-hazards are concerned. Of the …
and most destructive recent earthquake as far as the geo-hazards are concerned. Of the …
Liquefaction within a bedding fault: Understanding the initiation and movement of the Daguangbao landslide triggered by the 2008 Wenchuan Earthquake (Ms= 8.0)
The Daguangbao landslide was the most catastrophic mass movement triggered by the
2008 Wenchuan earthquake with a magnitude scale of Ms. 8.0. The landslide, which was …
2008 Wenchuan earthquake with a magnitude scale of Ms. 8.0. The landslide, which was …
Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications …
On 8th August 2017, a magnitude M s 7.0 earthquake struck the County of Jiuzhaigou, in
Sichuan Province, China. It was the third M s≥ 7.0 earthquake in the Longmenshan area in …
Sichuan Province, China. It was the third M s≥ 7.0 earthquake in the Longmenshan area in …
Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
Landslide susceptibility, hazards, and risks have been extensively explored and analyzed in
the past decades. However, choosing relevant conditioning factors in such analyses …
the past decades. However, choosing relevant conditioning factors in such analyses …
Comparisons of convolutional neural network and other machine learning methods in landslide susceptibility assessment: a case study in **wu
Z Jiang, M Wang, K Liu - Remote Sensing, 2023 - mdpi.com
Landslide is a natural disaster that seriously affects human life and social development. In
this study, the characteristics and effectiveness of convolutional neural network (CNN) and …
this study, the characteristics and effectiveness of convolutional neural network (CNN) and …
Landslide detection of hyperspectral remote sensing data based on deep learning with constrains
C Ye, Y Li, P Cui, L Liang, S Pirasteh… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Detecting and monitoring landslides are hot topics in remote sensing community, particularly
with the development of remote sensing technologies and the significant progress of …
with the development of remote sensing technologies and the significant progress of …
[HTML][HTML] Monitoring activity at the Daguangbao mega-landslide (China) using Sentinel-1 TOPS time series interferometry
Abstract The Daguangbao mega-landslide (China), induced by the 2008 Wenchuan
earthquake (M w= 7.9), with an area of approximately 8 km 2, is one of the largest landslides …
earthquake (M w= 7.9), with an area of approximately 8 km 2, is one of the largest landslides …
Change detection-based co-seismic landslide map** through extended morphological profiles and ensemble strategy
Co-seismic landslide map** after earthquake event is essential for emergency rescue,
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide map** …
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide map** …
Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake
Strong earthquakes, especially in continental mountainous areas, can trigger extensive
mass wasting, producing large amounts of debris that accumulates along the hillslopes or in …
mass wasting, producing large amounts of debris that accumulates along the hillslopes or in …