[HTML][HTML] GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …
overwhelming natural as well as man-made disaster that causes loss of natural resources …
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
Landslides are dangerous events which threaten both human life and property. The study
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …
[HTML][HTML] Landslide susceptibility mapping with deep learning algorithms
Among natural hazards, landslides are devastating in China. However, little is known
regarding potential landslide-prone areas in Maoxian County. The goal of this study was to …
regarding potential landslide-prone areas in Maoxian County. The goal of this study was to …
Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review
J Sun, G Yuan, L Song, H Zhang - Drones, 2024 - mdpi.com
Over the past decade, Unmanned Aerial Vehicles (UAVs) have emerged as essential tools
for landslide studies, particularly in on-site investigations. This paper reviews UAV …
for landslide studies, particularly in on-site investigations. This paper reviews UAV …
Multi-criteria decision-making methods: application in humanitarian operations
Purpose This paper aims to examine and compare extant literature on the application of
multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and …
multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and …
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
SA Abu El-Magd, SA Ali, QB Pham - Earth Science Informatics, 2021 - Springer
Recently, one of the most frequent natural hazards around several regions in the world is the
landslide events. The area of Jabal Farasan in the northwest Jeddah of Saudi Arabia suffers …
landslide events. The area of Jabal Farasan in the northwest Jeddah of Saudi Arabia suffers …
[HTML][HTML] Landslide susceptibility and risk analysis in Benighat Rural Municipality, Dhading, Nepal
The complex geology and undulating terrain made Nepal vulnerable to natural disasters like
landslides. Benighat-Rorang Rural Municipality (RM), in the Dhading district of Nepal's …
landslides. Benighat-Rorang Rural Municipality (RM), in the Dhading district of Nepal's …
A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area
Landslide susceptibility maps (LSMs) are very crucial for planning policies in hazardous
areas. However, the accuracy and reliability of LSMs depend on available data and the …
areas. However, the accuracy and reliability of LSMs depend on available data and the …
[HTML][HTML] UAV technique to localize landslide susceptibility and mitigation proposal: a case of Rinchending Goenpa landslide in Bhutan
K Tempa, K Peljor, S Wangdi, R Ghalley… - Natural Hazards …, 2021 - Elsevier
Natural hazards such as landslides impose very high risks to the community and
infrastructures. To mitigate such risk, proper long-term engineering solutions are must …
infrastructures. To mitigate such risk, proper long-term engineering solutions are must …
Semi-automatic classification for rapid delineation of the geohazard-prone areas using Sentinel-2 satellite imagery
The study of land use land cover has become increasingly significant with the availability of
remote sensing data. The main objective of this study is to delineate geohazard-prone areas …
remote sensing data. The main objective of this study is to delineate geohazard-prone areas …