Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model

F Miao, F Zhao, Y Wu, L Li, Á Török - Stochastic Environmental Research …, 2023 - Springer
As one of the most destructive geological disasters, a myriad of landslides has revived and
developed in the Three Gorges Reservoir area under the combined action of various …

Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya

A Pandey, M Shekhar Sarkar, S Palni… - … , Natural Hazards and …, 2023 - Taylor & Francis
Landslide susceptibility mapping plays an imperative role in mitigating hazards and
determining the future direction of developmental activities in mountainous regions. Here …

An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan

M Basharat, JA Khan, HG Abdo… - … , Natural Hazards and …, 2023 - Taylor & Francis
Landslides result in the devastation of property and loss of lives. This study assesses
landslide susceptibility by employing geographic information systems (GIS) and machine …

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous …

HG Abdo, H Almohamad, AA Al Dughairi, SA Ali… - Geoscience Letters, 2022 - Springer
Landslide vulnerability prediction maps are among the most important tools for managing
natural hazards associated with slope stability in river basins that affect ecosystems …

[HTML][HTML] Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India

A Moghimi, C Singha, M Fathi, S Pirasteh… - Quaternary Science …, 2024 - Elsevier
Landslides are a prevalent natural hazard in West Bengal, India, particularly in Darjeeling
and Kurseong, resulting in substantial socio-economic and physical consequences. This …

Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan

N Ali, J Chen, X Fu, R Ali, MA Hussain, H Daud… - Remote Sensing, 2024 - mdpi.com
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …

Sub-basins prioritization based on morphometric analysis and geographic information systems: a case study of the Barada river basin, Damascus countryside …

HG Abdo, H Almohamad, AA Al Dughairi… - Proceedings of the …, 2023 - Springer
Sub-basins prioritization is considered an essential procedure in ecosystem management
and planning on watershed scales. Integrating morphometric parameters and remote …

[HTML][HTML] Application of machine learning in the assessment of landslide susceptibility: a case study of mountainous eastern Mediterranean region, Syria

HG Abdo, SM Richi - Journal of King Saud University-Science, 2024 - Elsevier
Landslide is a considerable geomorphological risk in terrain systems worldwide. Advanced
techniques present a unique tool for predicting landslide susceptibility with unbiased and …

A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia

DN Melati, RP Umbara, A Astisiasari… - Environmental Earth …, 2024 - Springer
Landslide is one of the most highly frequent natural hazards that can bring serious
casualties. One of the most susceptible landslide regions in Indonesia is Bogor area (the …

[HTML][HTML] Spatial Analysis of Landslide Hazard Vulnerability Using Decision Support System in the Sile-Sago Watershed, Lake Chamo Rift Valley Basin, Ethiopia.

AB Ayele, AL Tura, AU Utallo, AG Mekonnen - Environmental Challenges, 2024 - Elsevier
Landslide hazard (LSH) is a widespread geographical problem, threatening lives and
destroying property and infrastructure globally. The focuses of this study were to identify …