Enhancing landslide susceptibility mapping using a positive-unlabeled machine learning approach: a case study in Chamoli, India
The Indian Himalayas' susceptibility to landslides, particularly as a location where climate change effects may be event catalysts, necessitates the development of dependable landslide susceptibility maps (LSM).