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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, 2022, Vol. 19, No. 3, pp. 259-269

Development of a polymodel assessment complex of the content of biogenic suspensions in water using multispectral satellite imagery

O.V. Grigorieva 1 , D.V. Zhukov 1 , A.V. Markov 1 
1 A.F. Mozhaisky Military Space Academy, Saint Petersburg, Russia
Accepted: 22.04.2022
DOI: 10.21046/2070-7401-2022-19-3-259-269
The paper considers the solution of the problem of estimating the content of biogenic suspensions in water bodies using artificial neural networks in the processing of multispectral optical-electronic space survey data. An original polymodel complex is proposed that allows determining the presence and intensity of impurities in water from the values of signals recorded in reasonably selected spectral channels of the survey equipment. The main feature of the complex is the use of a semi-analytical model of light flux transfer in an aqueous medium for training a neural network, which can be adaptively adjusted according to field measurements or empirical regression dependencies that establish a relationship between the spectral brightness characteristics of the water surface and the concentration of chlorophyll a. The combined use of semi-analytical and regression models ensures the classification of multispectral images of water bodies under conditions of a priori uncertainty (in the absence of training samples) with the simultaneous possibility of refining the results obtained from the available independent experimental data.
Keywords: biogenic suspensions, phytoplankton, multispectral data, regression and semi-analytical models, brightness of the water surface, artificial neural network
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