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http://dx.doi.org/10.7780/kjrs.2021.37.5.3.1

Disaster Assessment, Monitoring, and Prediction Using Remote Sensing and GIS  

Jung, Minyoung (Institute of Engineering Research, Seoul National University)
Kim, Duk-jin (School of Earth and Environmental Sciences, Seoul National University)
Sohn, Hong-Gyoo (Civil and Environmental Engineering, Yonsei University)
Choi, Jinmu (Department of Geography, Kyung Hee University)
Im, Jungho (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology)
Publication Information
Korean Journal of Remote Sensing / v.37, no.5_3, 2021 , pp. 1341-1347 More about this Journal
Abstract
The need for an effective disaster management system has grown these days to protect public safety as the number of disasters causing massive damage increases. Since disaster-induced damage can develop in various ways, rapid and accurate countermeasures must be prepared soon after disasters occur. Numerous studies have continuously developed remote sensing and GIS (Geographic Information System)-based techniques for disaster monitoring and damage analysis. This special issue presents the research results on disaster prediction and monitoring based on various remote sensors on different platforms from ground to space and disaster management using GIS techniques. The developed techniques help manage various disasters such as storms, floods, and forest fires and can be combined to achieve an integrated and effective disaster management system.
Keywords
Disaster Monitoring; Remote Sensing; Geographic Information System; Damage Assessment;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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