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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 4, pp. 87-97

Algorithms for chlorophyll a concentration estimation in the Laptev Sea using satellite ocean color data

S.V. Vazyulya 1 , E.A. Aglova 1, 2 , I.V. Sahling 1 , A.B. Demidov 1 , D.I. Glukhovets 1, 2 
1 Shirshov Institute of Oceanology RAS, Moscow, Russia
2 Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
Accepted: 02.07.2025
DOI: 10.21046/2070-7401-2025-22-4-87-97
In seas affected by river runoff, the use of regional algorithms can significantly improve the accuracy of remotely sensed chlorophyll a concentration estimates. The paper presents regional algorithms for assessing the concentration of chlorophyll a in the Laptev Sea using data from MODIS (Moderate Resolution Imaging Spectroradiometer) and VIIRS (Visible Infrared Imaging Radiometer Suite) satellite ocean color scanners. The algorithms are created on the basis of shipboard measurements taken during cruises in 2015, 2017 and 2018. Analysis of the accuracy parameters of the computation formula made it possible to select spectral channels for calculating the color index and criteria for selecting satellite data to determine the formula coefficients. It is shown that the absence of negative values of remote sensing reflectance for any spectral channel in the visible range is a good quality marker for satellite data. The accuracy of the presented algorithms is 30 % for waters with chlorophyll a concentration in the range of 0.1–1.5 mg·m-3. For additional validation of the obtained algorithms, flow-through fluorimeter measurement data were used. Measurements were made both near the Lena River delta and in low-productivity waters. Multiple linear regression equations were used to calibrate the fluorimetric measurement data. This made it possible to take into account the contribution of fluorescence of colored dissolved organic matter in waters strongly influenced by river runoff. The average relative error of chlorophyll a concentration satellite estimates for the regions of fluorimetric measurements is less than 25 %.
Keywords: regional algorithm, chlorophyll a concentration, color index, MODIS, VIIRS, Laptev Sea, river runoff
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