We are pleased to provide Sen2cor Release 2.10 under: https://step.esa.int/main/snap-supported-plugins/sen2cor/sen2cor-v2-10/, supporting the forthcoming update of Sentinel-2 products with Processing Baseline 04.00.
Stand-alone installers for the three operating systems Linux, Windows and macOS are now available. All three versions require a 64-bit platform.
Regarding the algorithm, the main improvements of the Sen2Cor 2.10 processor compared to previous version 2.9 are:
- Support of the L1C generated with the current (14.9) and previous (14.6, 14.5 and 14.2) Products Specification Document as input.
- Improvement of Scene Classification: Reduction of the false cloud detection on bright targets using a novel algorithm using the parallax properties of the MSI instrument. Reduction of the false snow/ice detection in high altitude ice clouds. Dilation of the cloud mask as well as of the cloud shadow mask. Reduction of the number of unclassified pixels. Improvement of the topographic shadows computation. Reduction of false cloud shadow occurrences.
- Improvement of Atmospheric Correction: In case of missing dark dense vegetation pixels (areas like deserts, snowy or ice landscapes, water only regions) to perform the aerosol estimation retrieval, Sen2Cor can use aerosol estimate from meteorological CAMS auxiliary data (read from L1C AUX_DATA), leading to a more consistent aerosols correction over the complete datastrip.
- Provision of band B01 also at 20m resolution.
- Addition of L2A Quality Indicators (new fields in tile metadata + additional L2A_QUALITY.xml report in the QI_DATA folder).
- Usage of the Copernicus DEM@90m horizontal resolution.
- Addition of a Digital Object Identifier (DOI) in the L2A metadata according to CARD4L SR Specifications.
For any further details, including installation step, and an overview on the evolutionary upgrades applied to Sen2Cor 2.10, please read the release notes which are provided under: https://step.esa.int/main/snap-supported-plugins/sen2cor/sen2cor-v2-10/
With best regards,
Sen2Cor Development Team