Sentinel-2 Multitemporal Cities Pairs

<p>This dataset contains N=1520 Sentinel-2 level 1C image pairs focused on urban areas around the world.<br> Bands with a spatial resolution smaller than 10 m are resampled to 10 m and images are cropped to approximately 600x600 pixels.<br> The size of some images is smaller than 600x600 pixels as result of the fact that some coordinates were located close to the edge of a Sentinel tile, the images were then cropped to the tile border.<br> Geometric or radiometric corrections are not performed.</p> <p>The dataset is released with the conference article: Marrit Leenstra, Diego Marcos, Francesca Bovolo and Devis Tuia, Self-supervised pre-training enhances change detection in Sentinel-2 imagery, PRRS workshop, ICPR 2020</p>