Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions

ArXi:2507.01123v2 Announce Type: replace-cross Landslides pose severe threats to infrastructure, economies, and human lives, necessitating accurate detection and predictive mapping across diverse geographic regions. With advancements in deep learning and remote sensing, automated landslide detection has become increasingly effective. This study presents a comprehensive approach integrating multi-source satellite imagery and deep learning models to enhance landslide identification and prediction.