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Approach of non-station-based in situ measurements for high resolution satellite remote sensing of productive and highly changeable inland waters

https://doi.org/10.7868/S2073667320020070

Abstract

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.

About the Authors

A. A. Molkov
Institute of Applied Physics RAS
Russian Federation

603950, Ulyanova Str., 46, Nizhny Novgorod



V. V. Pelevin
Shirshov Institute of Oceanology RAS
Russian Federation

117997, Nahimovsky Prospekt, 36, Moscow



E. N. Korchemkina
Marine Hydrophysical Institute RAS
Russian Federation

299011, Kapitanskaya Str., 2, Sevastopol



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Review

For citations:


Molkov A.A., Pelevin V.V., Korchemkina E.N. Approach of non-station-based in situ measurements for high resolution satellite remote sensing of productive and highly changeable inland waters. Fundamental and Applied Hydrophysics. 2020;13(2):60-67. https://doi.org/10.7868/S2073667320020070

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