Landslides pose a significant threat to people and the environment worldwide. Researchers from the Leibniz Center for Agricultural Landscape Research (ZALF), together with international partners, have developed a new framework that significantly improves landslide prediction using machine learning methods. Landslides pose a significant threat to people and the environment worldwide. Researchers from the Leibniz Center for Agricultural Landscape Research (ZALF), together with international partners, have developed a new framework that significantly improves landslide prediction using machine learning methods. Earth Sciences Phys.org – latest science and technology news stories
AI framework achieves 95.6% accuracy in predicting landslide-prone zones
