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@@ -40,7 +40,7 @@ It is therefore possible, to cover large geographic extent with a __seamless ima
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It is worth noting that the overall accuracy of your final ARD product strongly depends on the accuracy of sen2like auxiliary data. Two categories of auxiliary data are important: the raster reference for geometric corrections and the meteorological data for atmospheric corrections. Regarding atmospheric corrections, one possibility is to use data from the Copernicus Atmosphere Monitoring Service [9]. The Sen2Like team prepared a dedicated CAMS monthly dataset for the Year 2020, available from [here](http://185.178.85.51/CAMS/). Please refer to this short [description](http://185.178.85.51/CAMS/Readme_CAMS2020.txt) for additional information.
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For further details on the format specification of the harmonized products or the functionalities of the Sen2Like software, please
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refer to the [Product Format Specification](sen2like/docs/source/S2-PDGS-MPC-L2HF-PFS-v1.2.pdf), and the [User Manual v1.9](sen2like/docs/source/S2-SEN2LIKE-UM-V1.9.pdf).
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refer to the [Product Format Specification](sen2like/docs/source/OMPC.TPZ.S2L.PFS.001%20-%20i1r3%20Level%202HF%20Product%20Format%20Specification.pdf), and the [User Manual v1.10](sen2like/docs/source/S2-SEN2LIKE-UM-V1.10.pdf).
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## Publications and Contacts
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**Yearning to know more ? Check out**
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+[10] Saunier, S.; Pflug, B.; Lobos, I.M.; Franch, B.; Louis, J.; De Los Reyes, R.; Debaecker, V.; Cadau, E.G.; Boccia, V.; Gascon, F.; Kocaman, S. Sen2Like: Paving the Way towards Harmonization and Fusion of Optical Data. Remote Sens. 2022, 14, 3855. (https://doi.org/10.3390/rs14163855)
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