[HTML][HTML] Landslide susceptibility mapping using machine learning: A literature survey
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …
occur more frequently due to increasing urbanization, deforestation, and climate change …
Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution
Ongoing landslides have wreaked havoc in various regions across the globe. This article
presents a study of two forms of landslide monitoring viz; creation of Landslide Susceptibility …
presents a study of two forms of landslide monitoring viz; creation of Landslide Susceptibility …
Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: a critical inquiry
Current machine learning approaches to landslide susceptibility modeling often involve
grading conditioning factors, a method characterized by substantial subjectivity and …
grading conditioning factors, a method characterized by substantial subjectivity and …
Determining the suitable settlement areas in Alanya with GIS-based site selection analyses
Urbanization, which is defined as an irreversible global-scale problem nowadays,
necessitates the foundation of new settlement areas. In general, no sufficient scientific …
necessitates the foundation of new settlement areas. In general, no sufficient scientific …
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 …
Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey
This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
MS Chowdhury, MN Rahman, MS Sheikh, MA Sayeid… - Heliyon, 2024 - cell.com
The frequency of landslides and related economic and environmental damage has
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …
Exploring the uncertainty of landslide susceptibility assessment caused by the number of non–landslides
Q Liu, A Tang, D Huang - Catena, 2023 - Elsevier
Identifying the uncertainty caused by the number of non-landslides is necessary to obtain a
precise landslide susceptibility map. Hence, the objective of this study is to investigate the …
precise landslide susceptibility map. Hence, the objective of this study is to investigate the …
Comparative analysis of tree-based ensemble learning algorithms for landslide susceptibility mapping: A case study in Rize, Turkey
The Eastern Black Sea Region is regarded as the most prone to landslides in Turkey due to
its geological, geographical, and climatic characteristics. Landslides in this region inflict both …
its geological, geographical, and climatic characteristics. Landslides in this region inflict both …
Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models
This work aims to discuss and compare the inherent essence of different machine learning
algorithms for landslide susceptibility models (LSMs), which is of great significance for …
algorithms for landslide susceptibility models (LSMs), which is of great significance for …