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The dataset contains two years of coverage (2019 and 2020) for two distant geographical areas in India and in Scotland. If using this dataset, please cite the paper where it has been introduced: @article{rs14061342, author = {Czerkawski, Mikolaj and Upadhyay, Priti and Davison, Christopher and Werkmeister, Astrid and Cardona, Javier and Atkinson, Robert and Michie, Craig and Andonovic, Ivan and Macdonald, Malcolm and Tachtatzis, Christos}, title = {Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery}, journal = {Remote Sensing}, volume = {14}, year = {2022}, number = {6}, article-number = {1342}, url = {https://www.mdpi.com/2072-4292/14/6/1342}, ISSN = {2072-4292}, DOI = {10.3390/rs14061342} }
Cloud masks are now added separately in a cloud_masks directory. A PyTorch dataset class attached for potential use.
hyperspectral, satellite, synthetic aperture radar
hyperspectral, satellite, synthetic aperture radar
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