Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning

• Main Authors: Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.
• Other Authors: 16644075500
• Format: Conference Paper
• Published: Springer Nature 2024
• Subjects: Imbalanced classification; Landslide susceptibility mapping; Machine learning algorithms; Stacking ensemble
• Institution: Universiti Tenaga Nasional

Landslide susceptibility mapping (LSM) is an important preliminary effort to reduce the risk and harshness of landslide disasters. While numerous methods have been proposed, machine learning (ML) is the most popular approach that has been applied across the globe. One of the prominent methods to imp...