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The Authie estuarie, located at the eastern part of the English Channel is of environmental, ecological, economic and societal importance. With the intention to better understand the sediment dynamic it is important to better assess the role of sediment dynamics including erosion, stabilization and sediment reworking processes which is challenging in such complex environment. It is also important to consider biogenic components such as the microphytobenthos (MPB) distribution, as the primary productivity may play an important role with the bio-stabilization process. As a consequence, there is a crucial need to provide a synoptic overview of inherent bio-physical characteristics of sediments (i.e., composition, water content, grain-size, and biomass) in estuarine environment by generating precise quantitative maps for predicting in a second step estuarine evolution by including sediment transport, sedimentation rates, coastal flows processes and sea level rise caused by climate change for instance. The use of the remote sensing technology is increasingly used for mapping estuarine and coastal environments by providing a synoptic overview of bio-physical characteristics of sediments. In that sense, the combination between remote sensing imaging, topographic data (LiDAR) and in situ measurements is suitable for improving our understanding of sediment dynamics with respect to physical and biological forcings. The main objective of this study is to demonstrate that the synergy between multispectral (i.e., SPOT 6–7 [1.5 m/pixel]; Sentinel-2, 10–60 m/pixel, 5–10 days)”, hyperspectral [Hyspex, 70 cm/pixel, 160 spectral bands] remote sensing images may be suitable for generating both reliable sedimentary and primary productivity budgets; at least for surficial sediments. All presented data were acquired during the same day (09/21/2017) in the framework TéléEST, CPER MARCO and CNRS-OMPBI projects. Abstract The Authie estuarie, located at the eastern part of the English Channel 1 is of environmental, ecological, economic and societal importance. With the inten- 2 tion to better understand the sediment dynamic it is important to better assess the 3 role of sediment dynamics including erosion, stabilization and sediment reworking 4 processes which is challenging in such complex environment. It is also important to 5 consider biogenic components such as the microphytobenthos (MPB) distribution, 6 as the primary productivity may play an important role with the bio-stabilization 7 process. As a consequence, there is a crucial need to provide a synoptic overview of 8 inherent bio-physical characteristics of sediments (i.e., composition, water content, 9 grain-size, and biomass) in estuarine environment by generating precise quantita- 10 tive maps for predicting in a second step estuarine evolution by including sediment 11 transport, sedimentation rates, coastal ﬂows processes and sea level rise caused by 12 climate change for instance. The use of the remote sensing technology is increas- 13 ingly used for mapping estuarine and coastal environments by providing a synoptic 14 overview of bio-physical characteristics of sediments. In that sense, the combination 15 between remote sensing imaging, topographic data (LiDAR) and in situ measure- 16 ments is suitable for improving our understanding of sediment dynamics with respect 17 to physical and biological forcings. The main objective of this study is to demonstrate that the synergy between multispectral (i.e., SPOT 6–7 [1.5 m/pixel]; Sentinel-2, 10– 19 60 m/pixel, 5–10 days)”, hyperspectral [Hyspex, 70 cm/pixel, 160 spectral bands] 20 remote sensing images may be suitable for generating both reliable sedimentary 21 and primary productivity budgets; at least for surﬁcial sediments. All presented data 22 were acquired during the same day (09/21/2017) in the framework TéléEST, CPER 23 MARCO and CNRS-OMPBI projects.