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(searched for: doi:10.23947/2587-8999-2020-1-1-1-11)
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Natalia Panasenko, Nikolay Motuz, Asya Atayan
Published: 23 December 2020
E3S Web of Conferences, Volume 224; https://doi.org/10.1051/e3sconf/202022402030

Abstract:
The study is devoted to the analysis of satellite observations data assimilation to discover the necessary information for developing and verifying mathematical models of hydrodynamics and biological shallowwater kinetics. The use of satellite earth sensing data is taken to enhance information base. The possible use of neural networks with optical flow computation is considered in the study. The objective of the study is to develop a software tool used to identify the initial conditions in mathematical modeling of hydrobilogical shallow-water processes.
Natalia Panasenko, Marina Ganzhur, Alexey Ganzhur, Vladimir Fathi
Published: 4 December 2020
E3S Web of Conferences, Volume 210; https://doi.org/10.1051/e3sconf/202021007005

Abstract:
The paper is devoted to the analysis of methods of adoption of satellite observation data in order to identify the required information used in the development and verification of mathematical models of hydrodynamics and biological kinetics of shallow water reservoirs. For the information accumulation, we consider the use of remote sensing data. The aim of the paper is to identify the best implementation method for software tools in order to improve the quality of assimilation of date of satellite sensing of the Earth relating to hydrobiological processes in a shallow water reservoir.
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