2026-10-14T06:30:22Z https://data.mendeley.com/oai

oai:data.mendeley.com/y98xzpzvf4.2 2026-09-29T10:17:44Z

KIM, MIN SEOK Derived 500 m Grid Dataset for Post-fire Vegetation Recovery Analysis of the 2022 Uljin Wildfire, South Korea Mendeley Data Version 2 supersedes Version 1 and accompanies the revised article. 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. Geography Forestry Remote Sensing Disaster Management Natural Hazard Seo, Hyun Cheol Lee, Ji Soo Lee, Yoon Ha Dataset doi:10.17632/y98xzpzvf4.2 oai:data.mendeley.com/y98xzpzvf4.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/y98xzpzvf4 2026-09-29T10:17:44Z