Derived 500 m Grid Dataset for Post-fire Vegetation Recovery Analysis of the 2022 Uljin Wildfire, South Korea

Landsat Collection 2 Level-2 reflectance scaling is now correctly applied; all dNBR values were recalculated, the burn perimeter was re-delineated (11,986 ha; dNBR ≥ 0.1, MMU 0.45 ha), and the analysis set was redefined as the 892 grid cells with ≥10% burned area. The file provides, for each analysis cell, the burned fraction (PCT_BURN), annual dNBR (2022–2025) against the fixed pre-fire baseline (3 March 2022), antecedent seasonal climate variables, terrain and forest-attribute variables, and cell coordinates (EPSG:5179).

The ≥25% sensitivity subset (758 cells) is reproducible via PCT_BURN; see README_V2.txt for the variable dictionary.