[HTML][HTML] Refined and dynamic susceptibility assessment of landslides using InSAR and machine learning models

Y Wei, H Qiu, Z Liu, W Huangfu, Y Zhu, Y Liu… - Geoscience …, 2024 - Elsevier
Landslide susceptibility assessment is crucial in predicting landslide occurrence and
potential risks. However, traditional methods usually emphasize on larger regions of …

Rainfall and water level fluctuations dominated the landslide deformation at Baihetan Reservoir, China

Y Zhu, H Qiu, Z Liu, B Ye, B Tang, Y Li, U Kamp - Journal of Hydrology, 2024 - Elsevier
Understanding the deformation patterns of different types of landslides around reservoirs is
crucial for precise prevention and control of related hazards. However, under the complex …

Emergency identification and influencing factor analysis of coseismic landslides and building damages induced by the 2023 Ms 6.2 Jishishan (Gansu, China) …

B CHEN, C SONG, Y CHEN, Z LI, C YU… - … Information Science of …, 2024 - ch.whu.edu.cn
Objective: On 18th December 2023, an Ms 6.2 earthquake struck Jishishan County, Gansu
Province, China, which triggered a large number of coseismic landslides and caused …

[HTML][HTML] Characterizing the evolution of the Daguangbao landslide nearly 15 years after the 2008 Wenchuan earthquake by InSAR observations

Y Chen, C Song, Z Li, C Yu, Z Liu, X Zhang, B Chen… - Engineering …, 2024 - Elsevier
The Daguangbao landslide (DGBL), the largest landslide triggered by the 2008 Ms 8.0
Wenchuan earthquake, has received much attention, but its long-term post-earthquake …

An integrated approach for mapping slow-moving hillslopes and characterizing their activity using InSAR, slope units and a novel 2-D deformation scheme

N Sadhasivam, L Chang, H Tanyaş - Natural Hazards, 2024 - Springer
Strong earthquakes are not only able to change the earth's surface processes by triggering a
large population of co-seismic landslides but also by influencing hillslope deformation rates …

InSAR-based landslide detection method with the assistance of C-index

Z Xiong, M Zhang, J Ma, G Xing, G Feng, Q An - Landslides, 2023 - Springer
Abstract Interferometric Synthetic Aperture Radar (InSAR) has been increasingly used in
landslide detection over wide areas. However, atmospheric delays, phase unwrapping …

[HTML][HTML] Active Deformation Areas of Potential Landslide Mapping with a Generalized Convolutional Neural Network

Q Wu, D Ge, J Yu, L Zhang, Y Ma, Y Chen, X Wan… - Remote Sensing, 2024 - mdpi.com
Early discovery and monitoring of the active deformation areas of potential landslides are
important for geohazard risk prevention. The objective of the study is to propose a one-step …

[HTML][HTML] A deep-learning-based algorithm for landslide detection over wide areas using InSAR images considering topographic features

N Li, G Feng, Y Zhao, Z Xiong, L He, X Wang, W Wang… - Sensors, 2024 - mdpi.com
The joint action of human activities and environmental changes contributes to the frequent
occurrence of landslide, causing major hazards. Using Interferometric Synthetic Aperture …

[HTML][HTML] Integration of Multi-Source Datasets for Assessing Ground Swelling/Shrinking Risk in Cyprus: The Case Studies of Pyrgos–Parekklisia and Moni

AV Argyriou, M Prodromou, C Theocharidis, K Fotiou… - Remote Sensing, 2024 - mdpi.com
The determination of swelling/shrinking phenomena, from natural and anthropogenic
activity, is examined in this study through the synergy of various remote sensing …

2023 年甘肃积石山Ms 6.2 地震同震滑坡和建筑物损毁情况应急识别与影响因素研究

陈博, 宋闯, 陈毅, 李振洪, 余琛, 刘海辉… - 武汉大学学报(信息 …, 2024 - ch.whu.edu.cn
1 长安大学地质工程与测绘学院, 陕西西安, 710054 2 黄土科学全国重点实验室, 陕西西安,
710054 3 长安大学地学与卫星大数据研究中心, 陕西西安, 710054 4 西部矿产资源与地质工程 …