Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series

Y Zhang, X Meng, C Jordan, A Novellino, T Dijkstra… - Landslides, 2018 - Springer
Abstract In the Zhouqu region (Gansu, China), landslide distribution and activity exploits
geological weaknesses in the fault-controlled belt of low-grade metamorphic rocks of the …

Monitoring and prediction of landslide-related deformation based on the GCN-LSTM algorithm and SAR imagery

MA Khalili, L Guerriero, M Pouralizadeh, D Calcaterra… - Natural Hazards, 2023 - Springer
A key component of disaster management and infrastructure organization is predicting
cumulative deformations caused by landslides. One of the critical points in predicting …

Characterization of pre-failure deformation and evolution of a large earthflow using InSAR monitoring and optical image interpretation

Z Yi, M Xingmin, N Allesandro, D Tom, C Guan, J Colm… - Landslides, 2021 - Springer
Abstract At 6pm on July 19, 2019, the Yahuokou earthflow (Zhouqu County, Gansu Province,
China) was reactivated following a period of intense rainfall. A volume of approximately 3.9× …

[HTML][HTML] Interferometric synthetic aperture radar applicability analysis for potential landslide identification in steep mountainous areas with C/L band data

J Deng, K Dai, R Liang, L Chen, N Wen, G Zheng… - Remote Sensing, 2023 - mdpi.com
Landslides frequently occur in the mountainous area of southwest China, resulting in
infrastructure damage, as well as a loss of life and property. The use of interferometric …

Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy)

M Del Soldato, A Riquelme, S Bianchini, R Tomás… - Landslides, 2018 - Springer
Landslides are one of the most relevant geohazards worldwide, causing direct and indirect
costs and fatalities. Italy is one of the countries most affected by mass movements, and the …

Vulnerability assessment of buildings due to land subsidence using InSAR data in the ancient historical city of Pistoia (Italy)

P Ezquerro, M Del Soldato, L Solari, R Tomás… - Sensors, 2020 - mdpi.com
The launch of the medium resolution Synthetic Aperture Radar (SAR) Sentinel-1
constellation in 2014 has allowed public and private organizations to introduce SAR …

Monitoring ground instabilities using SAR satellite data: A practical approach

M Del Soldato, L Solari, F Raspini, S Bianchini… - … International Journal of …, 2019 - mdpi.com
Satellite interferometric data are widely exploited for ground motion monitoring thanks to
their wide area coverage, cost efficiency and non-invasiveness. The launch of the Sentinel-1 …

Investigating the effects of landslides inventory completeness on susceptibility mapping and frequency-area distributions: Case of Taounate province, Northern …

R Sahrane, A Bounab, YEL Kharim - Catena, 2023 - Elsevier
In explanatory statistics, training data constitute the most significant input since they
determine the reliability and accuracy of the output predictive models. In Landslide …

Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam)

QA Gian, DT Tran, DC Nguyen, VH Nhu… - … , Natural Hazards and …, 2017 - Taylor & Francis
This paper proposes and implements an early warning and monitoring system for rainfall-
induced landslide (named as EWMRIL) with a case study at the Nam Dan landslide …

Landslide-induced damage probability estimation coupling InSAR and field survey data by fragility curves

M Del Soldato, L Solari, F Poggi, F Raspini, R Tomás… - Remote Sensing, 2019 - mdpi.com
Landslides are considered to be one of the main natural geohazards causing relevant
economic damages and social effects worldwide. Italy is one of the countries worldwide …