This is autotranslated version of this post. Previously, I had to look for such files on the Internet. The ID contains the Sentinel-2 satellite, start date and time, absolute orbit number, and processing baseline.Sometimes when you try to remove a program you get the warning that. Unique identifier of the datastrip Product Data Item (PDI) Percentage of pixels classified as dark features or shadows Percentage of pixels classified as cloud shadow Granule-specific cloudy pixel percentage taken from the original metadataĬloudy pixel percentage for the whole archive that contains this granule. Snow Probability Map (missing in some products)Īccuracy of Aerosol Optical thickness model Scene Classification Map (The "No Data" value of 0 is masked out)Ĭloud Probability Map (missing in some products) The height the water would occupy if the vapor were condensed into liquid and spread evenly across the column. Indicating its UTM grid reference (see MGRS).įor more details on Sentinel-2 radiometric resolution, see this page. Time, and the final 6-character string is a unique granule identifier Second numeric part represents the product generation date and Here theįirst numeric part represents the sensing date and time, the For moreĭetails, see the full explanation of how cloud masks are computed.ĮE asset ids for Sentinel-2 L2 assets have the following format:ĬOPERNICUS/S2_SR/20151128T002653_20151128T102149_T56MNN. (QA60) is a bitmask band with cloud mask information. In addition, three QA bands are present where one There are also several more L2-specific bands (see bandįor details. WARNING: ESA did not produce L2 dataįor all L1 assets, and earlier L2 coverage is not global.ġ2 UINT16 spectral bands representing SR scaled by 10000 (unlike in L1 data, The Sentinel-2 L2 data are downloaded from scihub. Including the monitoring of vegetation, soil and water cover,Īs well as observation of inland waterways and coastal areas.
Imaging mission supporting Copernicus Land Monitoring studies, Sentinel-2 is a wide-swath, high-resolution, multi-spectral
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