@article{ART003030423},
author={Cheon, Gum-sung and Kwangil Cheon and Park, Byung Bae},
title={A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2023},
volume={32},
number={6},
pages={463-472}
TY - JOUR
AU - Cheon, Gum-sung
AU - Kwangil Cheon
AU - Park, Byung Bae
TI - A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images
JO - Journal of Environmental Impact Assessment
PY - 2023
VL - 32
IS - 6
PB - Korean Society Of Environmental Impact Assessment
SP - 463
EP - 472
SN - 1225-7184
AB - The amount of damage and the area of damage to forest fires are increasing globally, and the effectiveness analysis of the restoration method after the damage is performed insufficient. This study calculated the area of forest fire damage was calculated using Sentinel-2B satellite images and stack map and the intensity of forest fire damage is analyzed according to the forest type. In addition, the vegetation index was calculated using various wavelength bands. Based on the results, the vegetation resilience by the restoration method was quantitatively. As results, areas with a high proportion of coniferous forests suffered high intensity forest fire damage, and areas with a relatively high ratio of mixed and broad-leaved forests tended to have low forest fire damage. Also, artificial forests showed a recovery of about 92.7% compared to before forest fires and natural forests showed a recovery of about 99.6% from the result of analyzing vegetation resilience in artificial and natural forests after forest fires. Accordingly, it was confirmed that natural forests after forest fire damage had superior vegetation resilience compared to artificial forests. It can be proposed that this study is meaningful in providing important information for efficiently restoring the affected target site and the selection criteria for trees to reduce forest fire damage through the evaluation of vegetation resilience by the intensity of forest fire damage and restoration methods.
KW - Forest Fires;NDVI;Vegetation Recovery;NBR;Remote sensing
DO -
UR -
ER -
Cheon, Gum-sung, Kwangil Cheon and Park, Byung Bae. (2023). A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images. Journal of Environmental Impact Assessment, 32(6), 463-472.
Cheon, Gum-sung, Kwangil Cheon and Park, Byung Bae. 2023, "A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images", Journal of Environmental Impact Assessment, vol.32, no.6 pp.463-472.
Cheon, Gum-sung, Kwangil Cheon, Park, Byung Bae "A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images" Journal of Environmental Impact Assessment 32.6 pp.463-472 (2023) : 463.
Cheon, Gum-sung, Kwangil Cheon, Park, Byung Bae. A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images. 2023; 32(6), 463-472.
Cheon, Gum-sung, Kwangil Cheon and Park, Byung Bae. "A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images" Journal of Environmental Impact Assessment 32, no.6 (2023) : 463-472.
Cheon, Gum-sung; Kwangil Cheon; Park, Byung Bae. A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images. Journal of Environmental Impact Assessment, 32(6), 463-472.
Cheon, Gum-sung; Kwangil Cheon; Park, Byung Bae. A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images. Journal of Environmental Impact Assessment. 2023; 32(6) 463-472.
Cheon, Gum-sung, Kwangil Cheon, Park, Byung Bae. A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images. 2023; 32(6), 463-472.
Cheon, Gum-sung, Kwangil Cheon and Park, Byung Bae. "A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images" Journal of Environmental Impact Assessment 32, no.6 (2023) : 463-472.
