Landslide susceptibility prediction based on remote sensing images and GIS: Comparisons of supervised and unsupervised machine learning models
Z Chang, Z Du, F Zhang, F Huang, J Chen, W Li… - Remote Sensing, 2020 - mdpi.com
Landslide susceptibility prediction (LSP) has been widely and effectively implemented by
machine learning (ML) models based on remote sensing (RS) images and Geographic …
machine learning (ML) models based on remote sensing (RS) images and Geographic …
Landslide susceptibility prediction based on image semantic segmentation
The visual characteristics of landslide susceptibility have not yet been fully explored.
Professional or trained technicians have to take much time and effort to interpret remote …
Professional or trained technicians have to take much time and effort to interpret remote …
Probabilistic analysis of rainfall-induced shallow landslide susceptibility using a physically based model and the bootstrap method
Physically based landslide susceptibility analysis is widely used for landslide prediction
owing to its high predictive capability. However, due to limited information and the spatial …
owing to its high predictive capability. However, due to limited information and the spatial …
Research on uncertainty of landslide susceptibility prediction—bibliometrics and knowledge graph analysis
Landslide prediction is one of the complicated topics recognized by the global scientific
community. The research on landslide susceptibility prediction is vitally important to mitigate …
community. The research on landslide susceptibility prediction is vitally important to mitigate …
Displacement characterization and spatial-temporal evolution of the 2020 aniangzhai landslide in danba county using time-series insar and multi-temporal optical …
On 17 June 2020, a large ancient landslide over the Aniangzhai (ANZ) slope, Danba
County, Sichuan Province, China, was reactivated by a series of multiple phenomena …
County, Sichuan Province, China, was reactivated by a series of multiple phenomena …
Assessment of rainfall-induced landslide susceptibility at the regional scale using a physically based model and fuzzy-based Monte Carlo simulation
The occurrence of landslides is controlled by various interrelated spatial and climatic factors,
some of which cannot be determined accurately in detail and others that can be determined …
some of which cannot be determined accurately in detail and others that can be determined …
Development of an integrated model for assessing landslide susceptibility on vegetated slopes under random rainfall scenarios
H Jiang, Q Zou, Y Jiang, B Zhou, H Yao, J Cui… - Ecological …, 2024 - Elsevier
Physically-based landslide susceptibility analysis has been extensively employed to predict
the likelihood of landslides owing to its remarkable predictive capability. However, due to an …
the likelihood of landslides owing to its remarkable predictive capability. However, due to an …
Landslide susceptibility mapping of Central and Western Greece, combining NGI and WoE Methods, with remote sensing and ground truth data
The exploitation of remote sensing techniques has substantially improved pre-and post-
disaster landslide management over the last decade. A variety of landslide susceptibility …
disaster landslide management over the last decade. A variety of landslide susceptibility …
Regional analyses of rainfall-induced landslide initiation in Upper Gudbrandsdalen (South-Eastern Norway) using TRIGRS model
L Schilirò, J Cepeda, G Devoli, L Piciullo - Geosciences, 2021 - mdpi.com
In Norway, shallow landslides are generally triggered by intense rainfall and/or snowmelt
events. However, the interaction of hydrometeorological processes (eg, precipitation and …
events. However, the interaction of hydrometeorological processes (eg, precipitation and …