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How To Process Sentinel 2 Data. The Sen2Cor R1 processor algorithm is a combination of state-of-the-art techniques for performing atmospheric corrections which have been tailored to the Sentinel-2 environment together with a scene classification module described in R2. 22 Sentinel-2 products One of the main features of Sentinel-2 mission is the high repetitiveness of the observations 5 days revisit. All data acquired by the MSI instrument are systematically processed to Level-1C by the Payload Data Ground Segment PDGS. During this course you will learn how to process ESAs COPERNICUS Sentinel-2 data using SNAP software.
Click at the magnifier icon to search for data over the select region. Sentinel-2 data can be opened directly in Focus using the relevant XML S2xml or manifestsafe file. The scene classification algorithm allows detection of clouds snow and cloud shadows and generation of a classification map which consists of three different. Choose an appropriate filter. So check here and get the latest version of SNAP and the Sentinel toolbox. It emphasizes the potential of data time series and therefore drove the product definition.
The requested metadata will be returned as JSON formatted response to your request.
The band selector window will open. To open the imagery select the manifestsafe file and click Open. L2A PRODUCT STRUCTURE CONTENT The structure of the L2A product is strictly based on the structure of the L1C product with some differences that are highlighted in green on Fig. It emphasizes the potential of data time series and therefore drove the product definition. In most cases the processing is done by ESA itself. The requested metadata will be returned as JSON formatted response to your request.