Handling data imbalance in machine learning based landslide susceptibility map**: a case study of Mandakini River Basin, North-Western Himalayas
Abstract Machine learning methods require a vast amount of data to train a model. The data
necessary for landslide susceptibility map** is a collection of landslide causative factors …
necessary for landslide susceptibility map** is a collection of landslide causative factors …
Riverbank erosion induced vulnerability in India: a review for future research framework
Riverbank erosion is a significant risk that results in damages and economic losses. India is
severely vulnerable to riverbank erosion due to its demographic profile, socio-economic …
severely vulnerable to riverbank erosion due to its demographic profile, socio-economic …
[HTML][HTML] Cost estimation for the monitoring instrumentation of landslide early warning systems
M Sapena, M Gamperl, M Kühnl… - … Hazards and Earth …, 2023 - nhess.copernicus.org
Landslides are socio-natural hazards. In Colombia, for example, these are the most frequent
hazards. The interplay of climate change and the mostly informal growth of cities in landslide …
hazards. The interplay of climate change and the mostly informal growth of cities in landslide …
Pixel-based classification method for earthquake-induced landslide map** using remotely sensed imagery, geospatial data and temporal change information
A series of earthquakes occurred in Kumamoto, Japan, in April 2016, which caused
numerous landslides. In this study, high-resolution pre-event and post-event optical imagery …
numerous landslides. In this study, high-resolution pre-event and post-event optical imagery …
Uncertainty analysis method of slope safety factor based on quantile-based ensemble learning
Y Shen, S Wu, H Cheng, H Zhang, J Wang… - Bulletin of Engineering …, 2023 - Springer
To overcome the problem that the point prediction method of slope safety factor has
uncertainty in its prediction and hence cannot a reliable slope safety factor, a quantile-based …
uncertainty in its prediction and hence cannot a reliable slope safety factor, a quantile-based …
Comparison of tree-based ensemble learning algorithms for landslide susceptibility map** in Murgul (Artvin), Turkey
Turkey's Artvin province is prone to landslides due to its geological structure, rugged
topography, and climatic characteristics with intense rainfall. In this study, landslide …
topography, and climatic characteristics with intense rainfall. In this study, landslide …
A comparative evaluation of landslide susceptibility map** 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 …