A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification
Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. Various methodologies have been adapted to perform LSM, with machine learning models seeing a rise in p
