Korean J. Remote Sens. 2023; 39(5): 755-770
Published online: October 31, 2023
https://doi.org/10.7780/kjrs.2023.39.5.2.2
© Korean Society of Remote Sensing
박종수1)·이달근2)·이준우3)·천은지4)·정하규 1)*
1) 국립재난안전연구원 재난정보연구실 연구원(Researcher, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea) 2) 국립재난안전연구원 재난정보연구실 공업연구사(Researcher Officer, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea) 3) 국립재난안전연구원 재난정보연구실 시설연구관(Senior Researcher Officer, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea) 4) 국립재난안전연구원 재난정보연구실 선임연구원(Senior Researcher, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea)
Due to recent severe climate change, abnormal weather phenomena, and other factors, the frequency and magnitude of natural disasters are increasing. The need for disaster management using artificial satellites is growing, especially during large-scale disasters due to time and economic constraints. In this study, we have summarized the current status of next-generation medium-sized satellites and microsatellites in operation and under development, as well as trends in satellite imagery analysis techniques using a large volume of satellite imagery driven by the advancement of the space industry. Furthermore, by utilizing satellite imagery, particularly focusing on recent major disasters such as floods, landslides, droughts, and wildfires, we have confirmed how satellite imagery can be employed for damage analysis, thereby establishing its potential for disaster management. Through this study, we have presented satellite development and operational statuses, recent trends in satellite imagery analysis technology, and proposed disaster response strategies that utilize various types of satellite imagery. It was observed that during the stages of disaster progression, the utilization of satellite imagery is more prominent in the response and recovery stages than in the prevention and preparedness stages. In the future, with the availability of diverse imagery, we plan to research the fusion of cutting-edge technologies like artificial intelligence and deep learning, and their applicability for effective disaster management.
Keywords Disaster management, Disaster response strategies, Satellite, Imagery analysis
Korean J. Remote Sens. 2023; 39(5): 755-770
Published online October 31, 2023 https://doi.org/10.7780/kjrs.2023.39.5.2.2
Copyright © Korean Society of Remote Sensing.
박종수1)·이달근2)·이준우3)·천은지4)·정하규 1)*
1) 국립재난안전연구원 재난정보연구실 연구원(Researcher, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea) 2) 국립재난안전연구원 재난정보연구실 공업연구사(Researcher Officer, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea) 3) 국립재난안전연구원 재난정보연구실 시설연구관(Senior Researcher Officer, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea) 4) 국립재난안전연구원 재난정보연구실 선임연구원(Senior Researcher, Disaster Information Research Division, National Disaster Management Research Institute, Ulsan, Rebublic of Korea)
박종수1)·이달근2)·이준우3)·천은지4)·정하규 1)*
Due to recent severe climate change, abnormal weather phenomena, and other factors, the frequency and magnitude of natural disasters are increasing. The need for disaster management using artificial satellites is growing, especially during large-scale disasters due to time and economic constraints. In this study, we have summarized the current status of next-generation medium-sized satellites and microsatellites in operation and under development, as well as trends in satellite imagery analysis techniques using a large volume of satellite imagery driven by the advancement of the space industry. Furthermore, by utilizing satellite imagery, particularly focusing on recent major disasters such as floods, landslides, droughts, and wildfires, we have confirmed how satellite imagery can be employed for damage analysis, thereby establishing its potential for disaster management. Through this study, we have presented satellite development and operational statuses, recent trends in satellite imagery analysis technology, and proposed disaster response strategies that utilize various types of satellite imagery. It was observed that during the stages of disaster progression, the utilization of satellite imagery is more prominent in the response and recovery stages than in the prevention and preparedness stages. In the future, with the availability of diverse imagery, we plan to research the fusion of cutting-edge technologies like artificial intelligence and deep learning, and their applicability for effective disaster management.
Keywords: Disaster management, Disaster response strategies, Satellite, Imagery analysis
Seongsam Kim, Junwoo Lee, Dalgeun Lee
Korean J. Remote Sens. 2024; 40(6): 1295-1304Jongsoo Park, Hagyu Jeong, Junwoo Lee
Korean J. Remote Sens. 2024; 40(5): 813-832