Landslide susceptibility

In this study, we aim to delineate landslide susceptibility zones within Dien Bien province, Vietnam, leveraging the capabilities of various machine learning models including Light Gradient Boosting Machine (LGBM), K-Nearest Neighbors (KNN), and Gradient Boosting (GB).

19p viengfa 28-10-2024 3 1   Download

In this study, the main aim is to apply SMCE (Spatial Multi-Criteria Evaluation) and Flow-R models to predict flow landslide susceptibility and hazard in Tam Chung commune, Thanh Hoa province (Vietnam).

15p vibecca 01-10-2024 2 1   Download

This study shows the results of landslide susceptibility mapping for the southwest region of Quang Nam province using the Weights of Evidence (WoE) model. The input data consists of a landslide inventory and ten influencing factors, i.e., geology, distance to fault, elevation, relief amplitude, slope, aspect, rainfall, soil type, land use, and distance to road.

15p vibecca 01-10-2024 5 1   Download

Integration of landslide susceptibility into land use planning (LUP) in Mai Chau district, Hoa Binh province, Viet Nam. Land Use Planning (LUP) plays the vital role in social economic development, especially in land use. Therefore, improving quality of LUP is of great concern in Viet Nam, especially in regions that are influenced by climate change. The objectives of the research were to answer the following questions.

11p sobinhoangson 29-04-2018 45 4   Download