MACCS is a Multi-Mission Atmospheric Correction and Cloud Screening software. This tool has been developed by CNES. It is based on a multi-temporal algorithm that makes an optimized use of image time series to characterize the atmosphere and detect clouds. We have generated level-2 Sentinel-2 products on various targets over Europe but also over deserts or urban areas with high aerosol optical thickness (AOT). The results are validated by comparison to in-situ measurements from AERONET for AOT and water vapor. We also directly validate ground reflectance using CNES Lacrau photometer. Then, the joint effort of CNES and DLR to merge their algorithms MACCS and ATCOR into a so-called MAJA processing chain will be detailed, together with the future development and validation plan. Finally, the sentinel-2 level-2 production plan will be presented in the context of THEIA land data center.
Vincent Lonjou, Camille Desjardins, Olivier Hagolle, Beatrice Petrucci, Thierry Tremas, Michel Dejus, Aliaksei Makarau, and Stefan Auer, "MACCS-ATCOR joint algorithm (MAJA)," Proc. SPIE 10001, Remote Sensing of Clouds and the Atmosphere XXI, 1000107 (Presented at SPIE Remote Sensing: September 28, 2016; Published: 19 October 2016); https://doi.org/10.1117/12.2240935.
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Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon