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

This dataset provides the derived 500 m grid-based variables used for post-fire vegetation recovery analysis of the 2022 Uljin wildfire, South Korea. It includes annual Landsat-derived dNBR values for 2022–2025, time-lagged seasonal meteorological variables, topographic variables, and forest-structure dummy variables for 1,793 analytical grid cells. The dataset supports reproducibility of the associated manuscript on driver-specific temporal shifts in post-fire vegetation recovery.