Local Disaster Risk Reduction Management System Utilizing Unmanned Aerial Vehicles

After a natural disaster strikes, damage assessment plays a crucial role in disaster relief operations. The information of the disaster's severity within wide geographic scopes helps disaster responders identify areas of operation to prioritize and determine impassable or hazardous terrain. Compared to satellite imagery, unmanned aerial vehicles provide better and timely geographic images. This study focused on the development a system that generates reports with images of the devastated area for local disaster risk reduction management office (LDRRMO), utilizing drones to capture the images. The application's map generated from the drone's images in the implementation and testing provides higher temporal resolution images and proves cost-effective compared to satellite images. The system aims to assist LDRRMOs in their initial damage assessment through the application, helping them arrive with an informed decision for faster post-disaster recovery operations.