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http://dx.doi.org/10.7780/kjrs.2019.35.2.12

Wildfire Risk Index Using NWP and Satellite Data: Its Development and Application to 2019 Kangwon Wildfires  

Kim, Yeong-Ho (Geomatics Research Institute, Pukyong National University)
Kong, In-Hak (Gaia 3D Incorporation)
Chung, Chu-Yong (Satellite Development Division, National Meteorological Satellite Center)
Shin, Inchul (Satellite Development Division, National Meteorological Satellite Center)
Cheong, Seonghoon (Satellite Development Division, National Meteorological Satellite Center)
Jung, Won-Chan (Meteorological Satellite Ground Segment Algorithm Section, Electronics and Telecommunications Research Institute)
Mo, Hee-Sook (Meteorological Satellite Ground Segment Algorithm Section, Electronics and Telecommunications Research Institute)
Kim, Sang-Il (Meteorological Satellite Ground Segment Algorithm Section, Electronics and Telecommunications Research Institute)
Lee, Yang-Won (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.35, no.2, 2019 , pp. 337-342 More about this Journal
Abstract
This letter describes the development of WRI (Wildfire Risk Index) using GDAPS (Global Data Assimilation and Prediction System) and satellite data, and its application to the Goseong-Sokcho and Gangneung-Donghae wildfires in April 4, 2019. We made sure that the proposed WRI represented the change of wildfire risk of around March 19 and April 4 very well. Our approach can be a viable option for wildfire risk monitoring, and future works will be necessary for the utilization of GK-2A products and the coupling with the wildfire prediction model of the Korea Forest Service.
Keywords
GK-2A; Numerical weather prediction; Vegetation dryness index; Wildfire risk;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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