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http://dx.doi.org/10.7780/kjrs.2020.36.5.1.15

Detection of Forest Ecosystem Disturbance Using Satellite Images and ISODATA  

Kim, Daesun (Ocean Policy Institute, Korea Institute of Ocean Science and Technology)
Kim, Eun-Sook (Forest Ecology and Climate Change Division, National Institute of Forest Science)
Lim, Jong-Hwan (Forest Ecology and Climate Change Division, National Institute of Forest Science)
Lee, Yangwon (Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.36, no.5_1, 2020 , pp. 835-846 More about this Journal
Abstract
Recent severe climate changes and extreme weather events have caused the uncommon types of forest ecosystem disturbances such as hails and gypsy moths. This paper describes the analysis of the forest ecosystem disturbances using ISODATA (Iterative Self-organizing Data Analysis Technique Algorithm) with the RapidEye and Sentinel-2 images, regarding the cases of the hail damages in Hwasun in 2017 and the gypsy moth damages in the Chiak Mountain in 2020. In the case of hail damages, the comparison of the June image of this study and the July field survey of the previous study showed that the damage severity increased from June to July as the drought overlapped after the trees were injured by the hails. In the case of gypsy moths, significant leaf damages were found from the image of June, and the damages were mainly distributed at the low-altitude slope near Wonju City. We made sure that satellite remote sensing is a very effective method to detect various and unusual forest ecosystem disturbances caused by climate change. Also, it is expected that the Korean Medium Satellite for Agriculture and Forestry scheduled to launch in 2024 can be actively utilized to monitor such forest ecosystem disturbances.
Keywords
Forest Ecosystem Disturbance; Satellite Image; ISODATA;
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Times Cited By KSCI : 13  (Citation Analysis)
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