Generating Imperviousness Maps from Multispectral Sentinel-2 Satellite Imagery

This dataset contains a list of Sentinel-2 tiles covering Italy for the year 2017. For each tile, a corresponding ground truth GeoTIFF is present which contains a clip of the soil consumption provided by ISPRA (https://www.isprambiente.gov.it). Dataset can be used to train a Machine Learning model to extract imperviousness maps using Sentinel-2 satellite images. More details can be found reading the paper: Giacco, G., Marrone, S., Langella, G., & Sansone, C. (2022). ReFuse: Generating Imperviousness Maps from Multi-Spectral Sentinel-2 Satellite Imagery. Future Internet, 14(10), 278.