Dataset of 'An advanced framework for burn severity analysis with phenology-detrended indices'

This record provides the input datasets and example outputs required to run the ASAP burn severity analysis pipeline available in the associated GitHub repository. ASAP is a preprocessing workflow for satellite-based burn severity analysis that consists of three steps: (1) definition of the analysis area, (2) preparation of analysis imagery, and (3) phenology detrending. The archive contains the core input data required by the pipeline, including wildfire metadata, FIRMS active fire data, Landsat imagery, NLCD land cover data, and MTBS/WFIGS boundary data, organized to match the repository structure. It also includes example outputs generated by the pipeline, such as stepwise datasets and figure files, allowing users to verify successful execution and inspect intermediate and final preprocessing results. In the GitHub repository, the Python implementation saves outputs as NetCDF (.nc) files, whereas the MATLAB implementation saves outputs as MAT (.mat) files. Figure outputs are saved as PNG files in both versions. This upload is intended to serve as a companion data resource for the ASAP code repository, enabling users to reproduce the example workflow without having to separately collect and organize all required datasets. For the code, documentation, and execution instructions, please refer to the GitHub repository (https://github.com/tjsung714/ASAP).