A review of recent earthquake-induced landslides on the Tibetan Plateau

B Zhao, L Su, Q Xu, W Li, C Xu, Y Wang - Earth-Science Reviews, 2023 - Elsevier
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 …

What we have learned from the 2008 Wenchuan Earthquake and its aftermath: A decade of research and challenges

X Fan, CH Juang, J Wasowski, R Huang, Q Xu… - Engineering …, 2018 - Elsevier
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 …

Liquefaction within a bedding fault: Understanding the initiation and movement of the Daguangbao landslide triggered by the 2008 Wenchuan Earthquake (Ms= 8.0)

S Cui, X Pei, Y Jiang, G Wang, X Fan, Q Yang… - Engineering …, 2021 - Elsevier
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 …

Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications …

X Fan, G Scaringi, Q Xu, W Zhan, L Dai, Y Li, X Pei… - Landslides, 2018 - Springer
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 …

Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale

MN Jebur, B Pradhan, MS Tehrany - Remote Sensing of Environment, 2014 - Elsevier
Landslide susceptibility, hazards, and risks have been extensively explored and analyzed in
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 …

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 …

[HTML][HTML] Monitoring activity at the Daguangbao mega-landslide (China) using Sentinel-1 TOPS time series interferometry

K Dai, Z Li, R Tomás, G Liu, B Yu, X Wang… - Remote Sensing of …, 2016 - Elsevier
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 …

Change detection-based co-seismic landslide map** through extended morphological profiles and ensemble strategy

X Wang, X Fan, Q Xu, P Du - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
Co-seismic landslide map** after earthquake event is essential for emergency rescue,
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

AP Yunus, X Fan, X Tang, D Jie, Q Xu… - Remote Sensing of …, 2020 - Elsevier
Strong earthquakes, especially in continental mountainous areas, can trigger extensive
mass wasting, producing large amounts of debris that accumulates along the hillslopes or in …