Raster Dataset: Second-season corn classification in Western Paraná, Brazil, for the 2020/2021 crop season (GEEadas methodology)

This raster dataset (.tif) contains the second-season corn classification (2020/2021) for the Western Paraná mesoregion, Brazil, produced using Sentinel-2/MSI images (20 m resolution). It provides the underlying data for Figure 5 of the paper 'GEEadas: GEE-based automatic detection of adverse-frost stress', published in Remote Sensing Applications: Society and Environment. Reference for the publication: Chaves, M., Adami, M., Oldoni, L., Rodigheri, G., Prudente, V., Santana, C., Garcia, A., Covre, R. & Sanches, I. (2025). GEEadas: GEE-based Automatic Detection of Adverse-frost Stress. Remote Sensing Applications: Society and Environment, 101799. https://doi.org/10.1016/j.rsase.2025.101799. Link: https://www.sciencedirect.com/science/article/pii/S2352938525003520. The method to generate this file was described in the paper. The processing chain was published in the GitHub of the Agricultural Remote Sensing Laboratory (AgriRS Lab) of the National Institute for Space Research (INPE) https://github.com/agrirslabinpe/GEEadas.