SD4EO: AI-based synthetic satellite Sentinel-2 images of cities and building coverture (RGB+NIR bands)

This dataset has been created as part of the deliverables for ESA’s SD4EO project. It consists of synthetic versions of Sentinel-2 images in urban areas. These images were synthetically generated using schematic representations from Open Street Maps as a guide to create AI-based conditioned diffusion model images in the visible and near-infrared spectrum, along with coverage masks for non-residential buildings and the set of residential buildings combined with the former. A total of five synthetic variants were generated for each of the ten cities: Paris Toulouse Poitiers Bordeaux Limoges Clermont-Ferrand Troyes Le Mans Angers Madrid The file names within the ZIP archive follow a very simple schema: `assembled_` + city name + usage or band indicator + variant + PNG extension Each of the four types of images has a different indicator or band: `_RGB_` for images encoding visible spectrum signals `_IR_` for images generated for the near-infrared band `_full_allbuildingmask` for the coverage pixel mask of all building types in floating point `_full_nonresidentialmask` for the coverage pixel mask of non-residential buildings in floating point The SD4EO Project is funded by the ESA’s FutureEO programme under contract no. 4000142334/23/I-DT and supervised by ESA Φ-lab.