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This database was generated by AGENIUM Space in the framework of the CORTEX project (https://esacortexproject.agenium-space.com/) funded by ESA. Database of pairs of Sentinel-1 and Sentinel-2 images (https://www.copernicus.eu/en, https://scihub.copernicus.eu/) which contain the same region where a refugee camp (from those identified by the UNHCR) is present. Original Copernicus images were acquired between 2017 and 2019. The Sentinel-1 images come from the IW mode and are GRD product from both ascending and descending orbits. The Sentinel-2 images are surface reflectance products (L2A). The initial targeted application is to perform style transfer to generate a Sentinel-2 lookalike from a Sentinel-1 image. The database focuses on refugees’ camps in the Middle East area. As said, the locations of 39 camps were retrieved from the UNHCR (United Nations refugee agency) website (https://www.unhcr.org/). More details are provided in attached document S1-S2-RefugeeCamps-DB-description.pdf This work is funded by a contract in the framework of the EO SCIENCE FOR SOCIETY PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4 issued by the European Space Agency.
{"references": ["https://esacortexproject.agenium-space.com/", "De Vieilleville, Fran\u00e7ois; Lagrange, Adrien; Ruiloba, Rosa and Le Saux, Bertrand, \"CORTEX: Deep Learning processing for improving small sat capabilities\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020", "Lagrange, Adrien; De Vieilleville, Fran\u00e7ois; Ruiloba, Rosa, Le Saux, Bertrand and Mathieu, Pierre-Philippe, \"CORTEX: Open training datasets of Sentinel images : ships (Sentinel-2) and refugee camps detection (Sentinel-1&2)\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020"]}
refugee camps, Deep Learning, CORTEX project, Sentinel-1, Sentinel-2
refugee camps, Deep Learning, CORTEX project, Sentinel-1, Sentinel-2
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