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http://dx.doi.org/10.7780/kjrs.2021.37.5.1.9

RGB Composite Technique for Post Wildfire Vegetation Monitoring Using Sentinel-2 Satellite Data  

Kim, Sang-il (Satellite Widearea Infra Research Section, Electronics and Telecommunications Research Institute)
Ahn, Do-seob (Satellite Widearea Infra Research Section, Electronics and Telecommunications Research Institute)
Kim, Seung-chul (Satellite Widearea Infra Research Section, Electronics and Telecommunications Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.37, no.5_1, 2021 , pp. 939-946 More about this Journal
Abstract
Monitoring of post wildfire provides important information for vegetation restoration. In particular, remote sensing data are known to provide useful information necessary for monitoring. However, there are insufficient research results which is monitoring the vegetation recovery using remote sensing data. This study is directed to monitoring post-wildfire vegetation restoration. It proposes a method for monitoring vegetation restoration using Sentinel-2 satellite data by compositing Tasseled Cap linear regression trend in a post wildfire study sites. Although it is a simple visualization technique using satellite images, it was able to confirm the possibility of effective monitoring.
Keywords
Wildfire; Vegetation; Recovery; Tasseled Cap; Sentinel-2;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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