Landslide hazard mapping has advanced significantly with the integration of deep learning and remote sensing, particularly through attention-enhanced YOLO object detection models and U-Net-based semantic segmentation networks, which greatly improve accuracy and feature extraction from high-resolution imagery. These AI-driven approaches, validated through key performance metrics and interdisciplinary collaboration, highlight the transformative potential of combining geospatial data and computer vision for scalable, data-driven disaster risk reduction and environmental hazard monitoring.

The Department of Computer Science at the University of Salzburg warmly invites you to a talk by Dr. Naveen Chandra on August 19, 2025.

📅 Tuesday, August 19, 2025

🕒 11:00 AM

📍 Lecture Hall T01, Jakob-Haringer-Straße 2 

Host: Univ.-Prof. Sebastian Forster