Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates

The correction of atmospheric effects on optical remote sensing products is an essential component Analysis Ready Data (ARD) production lines. MAJA processor aims at providing accurate time series surface reflectances over land for satellite missions, such as Sentinel-2, Venμs, and Landsat 8. Centre d’Études Spatiales de la Biosphère (CESBIO) the National (CNES) share a common effort to maintain, validate, improve processor, using state-of-the-art ground measurement sites, participating in inter-comparisons, Atmospheric Correction Intercomparison Exercise (ACIX). While contributing second ACIX-II Land validation exercise, it was found that candidate dataset could not adequately be compared main reference dataset. were corrected adjacency topography while not, excluding from part performance metrics exercise. first following study complementary assessment by reprocessing without nor topographic correction, allowing un-biased full resolution comparison with Sentinel-2 consists validating against reflectance measurements up five years acquired three automated stations. Both approaches provide extensive insights quality Level 2 products.