ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 1, pp. 239-252

Informativeness of OLCI data compared to in situ hyperspectral measurements in assessing freshwater ecosystems trophic status: the Tsimlyansk Reservoir case

B.L. Sukhorukov 1, 2 , N.V. Reshetnyak 2 , V.V. Saprygin 3 
1 Water Problems Institute RAS, South Division, Rostov-on-Don, Russia
2 Hydrochemical Institute, Rostov-on-Don, Russia
3 Russian Information, Analytical and Research Water Management Center, Rostov-on-Don, Russia
Accepted: 22.02.2022
DOI: 10.21046/2070-7401-2022-19-1-239-252
The data obtained by remote spectrometric measurements during a multilevel synchronous experiment in August 2020 performed at the near-dam reach of the Tsimlyansk Reservoir, are presented. The phytoplankton chlorophyll a concentration, Cchl a, was determined from measurements performed at three levels. The data on the upper, satellite level were obtained from the site of the European Organization for Satellite Meteorology (EUMETSAT) with an OLCI multispectral scanner (Sentinel-3B). The remote recording was carried out with an S41 spectrometer (Laser LS) from the vessel from a high of 2 m. The spectral range of the portable device is 389–808 nm, the spectral resolution is 1.8 nm. At this level Cchl a was determined using previously constructed bio-optical models (BOM). At the same level water samples were taken simultaneously with the spectrometric survey for the subsequent analytical determination of Cchl a in the laboratory conditions. Comparison of the results obtained at different levels revealed a number of inconsistencies in the assessment of Cchl a for the water body studied in a hypereutrophic state. The results of evaluations of Cchl a differ by several times. Possible reasons of the noted inconsistencies were discussed. Insufficient informativeness of multispectral data for assessing the trophic status of such water bodies was demonstrated. There is a necessity of clarifying the algorithms for the interpretation of satellite data for hypereutrophic water bodies.
Keywords: multilevel experiment, remote spectrometry, remote sensing reflectance (Rrs), phytoplankton, chlorophyll a
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