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Refined landslide susceptibility map** in township area using ensemble machine learning method under dataset replenishment strategy
Landslide susceptibility map** (LSM) warrants considerable attention as a prerequisite for
risk assessment and prevention in response to the increasing global occurrences of …
risk assessment and prevention in response to the increasing global occurrences of …
GIS-based landslide susceptibility zoning using a coupled model: a case study in Badong County, China
P Wang, H Deng, Y Liu - Environmental Science and Pollution Research, 2024 - Springer
Landslide susceptibility zoning is necessary for landslide risk management. This study aims
to conduct the landslide susceptibility evaluation based on a model coupled with information …
to conduct the landslide susceptibility evaluation based on a model coupled with information …
A new random forest method for landslide susceptibility map** using hyperparameter optimization and grid search techniques
Landslides are common and frequent in the Indian Himalayan belt. Environmental factors
such as precipitation, terrain, geology, seismic activity, stream erosion, and anthropogenic …
such as precipitation, terrain, geology, seismic activity, stream erosion, and anthropogenic …
Investigating landslide data balancing for susceptibility map** using generative and machine learning models
Y Jiang, W Wang, L Zou, Y Cao, WC **. However, due to challenges in actual field …
Exploring a form of pixel-based information value model for flood probability assessment and geo-visualization over an East African basin: a case of Nyabarongo in …
Abstract The Nyabarongo basin in Rwanda is subjected to hydrometeorological hazards,
particularly floods, which are the most prevailing and devastating. Therefore, understanding …
particularly floods, which are the most prevailing and devastating. Therefore, understanding …
A modular framework for FAIR shallow landslide susceptibility map** based on machine learning
Abstract Machine learning has grown in popularity in the past few years for susceptibility and
hazard map** tasks. Necessary steps for the generation of a susceptibility or hazard map …
hazard map** tasks. Necessary steps for the generation of a susceptibility or hazard map …
Integrating dynamic factors for predicting future landslide susceptibility
Integrating dynamic factors such as rainfall and land use/cover (LULC) changes into
landslide predictions is often overlooked. A combination of aforementioned dynamic factors …
landslide predictions is often overlooked. A combination of aforementioned dynamic factors …
The Accuracy of Landslide Susceptibility Map** in Young Glacial River Valleys
A Małka, I Laskowicz, D Grabowski - … and Technology, Volume 3 Issue 2 …, 2025 - Springer
Many aspects affect the accuracy of the geographical information system-and statistically-
based susceptibility maps. These aspects can be divided into four categories related to:(α) …
based susceptibility maps. These aspects can be divided into four categories related to:(α) …