Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model
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 …
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 …
determining the future direction of developmental activities in mountainous regions. Here …
An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan
Landslides result in the devastation of property and loss of lives. This study assesses
landslide susceptibility by employing geographic information systems (GIS) and machine …
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 …
Landslide vulnerability prediction maps are among the most important tools for managing
natural hazards associated with slope stability in river basins that affect ecosystems …
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
Landslides are a prevalent natural hazard in West Bengal, India, particularly in Darjeeling
and Kurseong, resulting in substantial socio-economic and physical consequences. This …
and Kurseong, resulting in substantial socio-economic and physical consequences. This …
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …
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 …
Sub-basins prioritization is considered an essential procedure in ecosystem management
and planning on watershed scales. Integrating morphometric parameters and remote …
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
Landslide is a considerable geomorphological risk in terrain systems worldwide. Advanced
techniques present a unique tool for predicting landslide susceptibility with unbiased and …
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
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 …
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 …
destroying property and infrastructure globally. The focuses of this study were to identify …