Molkov A.A., Pelevin V.V., Korchemkina E.N.
Regional bio-optical models of water constituent retrieval for lakes and reservoirs are developed all over the world. It is especially difficult for reservoirs with high spatio-temporal variability of the water optical properties due to heterogeneous currents, plumes and irregular wind forcing. In this case, the usage of the traditional station-based sampling to describe the seasonal state of the reservoir or to validate satellite data may be uninformative or even irrational for a variety of reasons. As an alternative, an original approach based on simultaneous in situ measurements of the remote sensing reflectance by a spectrometer and concentration of water constituents by an ultraviolet fluorescence LiDAR from a high-speed gliding motorboat was proposed. This approach provides fast data collection with high spatial and temporal resolutions, i. e. 8 m and 1 Hz, respectively, from a large area in a short time interval within the spatial distribution of the hydro-optical characteristics do not change. Besides, the presented approach remains efficient in condition of broken cloud coverage. It was successfully applied for develop high-resolution and statistically reliable Chl-a and TSM models by Sentinel‐2 and Sentinel‐3 images of the Gorky Reservoir as an example of eutrophic productive and highly changeable inland waters.