[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 …
potential risks. However, traditional methods usually emphasize on larger regions of …
Prediction and mapping of soil thickness in alpine canyon regions based on whale optimization algorithm optimized random forest: A case study of Baihetan Reservoir …
Z Xue, X Yi, W Feng, L Kong, M Wu - Computers & Geosciences, 2024 - Elsevier
Accurate measurements of soil thickness are crucial for assessing landslide susceptibility,
slope stability, and soil conservation. However, there is a relative scarcity of research on the …
slope stability, and soil conservation. However, there is a relative scarcity of research on the …
[HTML][HTML] To explore the optimal solution of different mapping units and classifiers and their application in the susceptibility evaluation of slope geological disasters
S Zhang, S Tan, H Wang, Y Shi, D Ding, Y Sun… - Ecological Indicators, 2024 - Elsevier
Slope geological disaster is a type of natural disaster that is prevalent in the plateau
mountainous area. Its occurrence frequently brings substantial harm to the local human …
mountainous area. Its occurrence frequently brings substantial harm to the local human …
[HTML][HTML] Geological Hazard Identification and Susceptibility Assessment Based on MT-InSAR
Z Lu, H Yang, W Zeng, P Liu, Y Wang - Remote Sensing, 2023 - mdpi.com
Geological hazards often occur in mountainous areas and are sudden and hidden, so it is
important to identify and assess geological hazards. In this paper, the western mountainous …
important to identify and assess geological hazards. In this paper, the western mountainous …
An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest
X Xiao, Y Zou, J Huang, X Luo, L Yang… - … , Natural Hazards and …, 2024 - Taylor & Francis
This study proposed an interpretable model that combines Random Forest (RF), Optuna
hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal …
hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal …
A quick method of early landslide identification based on dynamic susceptibility analysis using M-SVM method: a case study
Y Liu, P Xu, C Cao, W Zhang, B Han… - Bulletin of Engineering …, 2023 - Springer
Landslides are irreversible and highly destructive disasters, so the early identification of
landslides is necessary to minimize damage and the loss of life. Landslides are especially …
landslides is necessary to minimize damage and the loss of life. Landslides are especially …
Refined Landslide Susceptibility Mapping Considering Land Use Changes and InSAR Deformation: A Case Study of Yulin City, Guangxi
P Li, H Wang, H Li, Z Ni, H Deng, H Sui… - Remote …, 2024 - search.proquest.com
Landslide susceptibility maps (LSMs) are valuable tools typically used by local authorities
for land use management and planning activities, supporting decision-makers in urban and …
for land use management and planning activities, supporting decision-makers in urban and …
Landslide hazard susceptibility evaluation based on SBAS-InSAR technology and SSA-BP neural network algorithm: A case study of Baihetan Reservoir Area
J Guo, W Xi, Z Yang, Z Shi, G Huang, Z Yang… - Journal of Mountain …, 2024 - Springer
Landslide hazard susceptibility evaluation takes on critical significance in early warning and
disaster prevention and reduction. In order to solve the problems of poor effectiveness of …
disaster prevention and reduction. In order to solve the problems of poor effectiveness of …
[PDF][PDF] Landslide susceptibility assessment based on an interpretable coupled FR-RF model: A case study of Longyan City, Fujian province, Southeast China
Z Lu, G Liu, X Zhao, K Sun, Y Chen, Z Song… - China …, 2024 - chinageology.cgs.cn
Landslides emerge as one of the most common geologic hazards, causing numerous
casualties and property losses every year (Ali R et al., 2020). Their disastrous …
casualties and property losses every year (Ali R et al., 2020). Their disastrous …