{ "description": "CloudSEN12 is a LARGE dataset (~1 TB) for cloud semantic understanding that consists of 49,400 image patches (IP) that are evenly spread throughout all continents except Antarctica. Each IP covers 5090 x 5090 meters and contains data from Sentinel-2 levels 1C and 2A, hand-crafted annotations of thick and thin clouds and cloud shadows, Sentinel-1 Synthetic Aperture Radar (SAR), digital elevation model, surface water occurrence, land cover classes, and cloud mask results from six cutting-edge cloud detection algorithms.\n CloudSEN12 is designed to support both weakly and self-/semi-supervised learning strategies by including three distinct forms of hand-crafted labeling data: high-quality, scribble and no-annotation. For more details on how we created the dataset see our paper: CloudSEN12 - a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2.", "extent": { "spatial": { "bbox": [ [ 0, 0, 0, 0 ], [ 0, 0, 0, 0 ], [ 0, 0, 0, 0 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00", "2020-01-01T00:00:00" ], [ "2020-01-01T00:00:00", "2020-01-01T00:00:00" ], [ "2020-01-01T00:00:00", "2020-01-01T00:00:00" ] ] } }, "id": "cloudsen12", "keywords": [ "clouds", "sentinel-2", "image-segmentation", "deep-learning", "remote-sensing" ], "license": "cc-by-4.0", "links": [ { "href": "./main.json", "rel": "root", "type": "application/json", "title": null } ], "providers": [ { "name": "Image & Signal Processing", "roles": [ "host" ], "url": "https://isp.uv.es/" }, { "name": "ESA", "roles": [ "producer" ], "url": "https://www.esa.int/" } ], "stac_extensions": [ "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "stac_version": "1.0.0", "title": "A dataset about clouds 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