Mapping Post-Fire Canopy Condition Using Spectrally Interpretable Remote Sensing

This dataset contains the observation-level data used for model development in the study “Mapping Post-Fire Canopy Condition as Discrete States Using Spectrally Interpretable Remote Sensing”. Each observation is associated with a wildfire event and classified into one of three post-fire canopy conditions: green, scorched, or burned. The dataset includes the three Tasseled Cap components: Brightness, Greenness, and Wetness, used as spectral predictors for Random Forest classification. The accompanying README file provides descriptions of the variables, class codes, and dataset structure.