Recovery of Forest Vegetation in a Burnt Area in the Republic of Korea: A Perspective Based on Sentinel-2 Data

Forest fires are severe disasters that cause significant damage in the Republic of Korea and entire world, an effort is being made to prevent forest internationally. The budgets 3.38 million USD every year fires. However, average 430 wildfires occur nationwide annually. Thirty-eight percent fire budget used for restoration. Restoring afforestation affected areas a top priority. This study aimed estimate degree vegetative regeneration using Normalized Difference Vegetation Index (NDVI), Enhanced (EVI), Soil-Adjustment (SAVI), Burn Ratio (NBR). Although many studies have NBR with NDVI extract plant regions, they suffer from atmospheric effects soil brightness. Thus, this utilizes NDVI, EVI, SAVI accurately select targeted Furthermore, applies clustering analysis spatial boundary regenerative regions. proposed method suggests pixel range vegetation indices. These ranges can be as indicator, such NBR’s Fire Severity Level, which reflects mountain’s local characteristics, meaning it useful after Using three indices more accurate than help determine restoration target area.