research data . Dataset . 2020

Sentinel-2 Cloud Mask Catalogue

Francis, Alistair; Mrziglod, John; Sidiropoulos, Panagiotis; Muller, Jan-Peter;
Open Access English
  • Published: 01 Nov 2020
  • Publisher: Zenodo
Abstract
<p><strong>Overview</strong></p> <p>This dataset comprises cloud masks for 513 1022-by-1022 pixel subscenes, at 20m resolution, sampled random from the 2018 Level-1C Sentinel-2 archive. The design of this dataset follows from some observations about cloud masking: (i) performance over an entire product is highly correlated, thus subscenes provide more value per-pixel than full scenes, (ii) current cloud masking datasets often focus on specific regions, or hand-select the products used, which introduces a bias into the dataset that is not representative of the real-world data, (iii) cloud mask performance appears to be highly correlated to surface type and cloud ...
Subjects
free text keywords: Earth Observation, Remote sensing, AI4EO, Machine Learning, Deep Learning, satellite, meteorology, atmosphere, atmospheric, optical, computer vision, image segmentation, validation, training, copernicus, infrared, multispectral, spaceborne, Sentinel-2, iris
Communities
Rural Digital Europe
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Zenodo
Dataset . 2020
Provider: Datacite
Zenodo
Dataset . 2020
Provider: Datacite
Zenodo
Dataset . 2020
Provider: Datacite
Zenodo
Dataset . 2020
Provider: Datacite
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