Remote Sensing and Geo-Spatial Information Convergence Analysis for National Disaster Management

Due to global weather anomalies and climate change, natural disasters are increasingly escalating into extreme catastrophes year by year.The intense summer rains, late autumn heatwaves, and early snowfall in central Korea in November 2024 reflect the extreme climate phenomena and the evolving paradigm of disasters.By utilizing advanced Earth observation platforms and remote sensing technologies, it is possible to effectively predict and prepare for disasters, collect timely observational data to respond in real-time during disaster management and conduct integrated analyses of large-scale disaster damage alongside existing spatial information.The special issue of the National Disaster Management Research Institute (NDMI) in 2024 introduced case studies of landslide damage assessment using remote sensing and spatial information integration, and safety inspections of facilities using multi-sensor drones.Furthermore, it focused on recent trends in research related to the fusion of remote sensing and spatial information technologies, as well as the research outcomes of the NDMI.The integrated analysis approach based on remote sensing and spatial information is meaningful for systematic disaster accident management during the prevention, preparedness, response, and recovery phases.Specifically, the fusion of remote sensing and spatial information analysis and its application are expected to play a crucial role in pre-disaster prediction, rapid response, and decision-making for minimizing damage in national disaster incidents.