Mr. Vladimir Belokopytov Profile

Vladimir Belokopytov

at Marine Hydrophysical Institute

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Proceedings Article | 27 June 2019 Paper

GIS applications in marine research in the Black Sea

Vladimir Belokopytov, Vyacheslav Dolotov, Eugeny Godin, Andrey Ingerov, Elena Zhuk

Proceedings Volume 11174, 111740R (2019) https://doi.org/10.1117/12.2533434

KEYWORDS: Databases, Geographic information systems, Oceanography, Visualization, Climatology, Satellites, Satellite imaging, Meteorology, Earth observing sensors, Human-machine interfaces

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The paper is devoted to the Black sea marine information systems. FSBSI (Marine Hydrophysical Institute of RAS) has gained a great experience in their development. A special feature of marine GISs is that in many cases the multidisciplinary and multi-component character of scientific oceanology leads to creating narrower specialized software tools to operate oceanographic data. At the same time, the accuracy of the information system representation of the processes taking place in the marine environment and in the sea – land interactive zone is determined in a considerable degree by the comprehensiveness and quality of databases in use. While creating the GISs for the Black sea, MHI uses as an information basis the Black sea database containing more than 160,000 oceanographic stations made so far since 1890. More than 80 per cent of the data have passed the quality check procedure. However, a number of GISs, for their successful operating, demand more parameters than the Black Sea database includes. This can be exemplified by the structure of the software used in the Geoinformation system of the Russian Black sea coastal zone. The database providing operation of the Specialized GIS for beach cadastral evaluation also has its peculiarities. The specific aspects of structure and functionality of the above mentioned and some other GISs created in MHI are described. The immediate objectives are identified both to create a comprehensive universal system for a wide range of researchers, with an optimized query system while addressing the integrated database, and to develop methods of spatial data sharing which allow gaining access to shared databases of the existing applied specialized systems.

Proceedings Article | 6 September 2017 Paper

PERSEUS QC: preparing statistic data sets

Vladimir Belokopytov, Alexey Khaliulin, Andrey Ingerov, Elena Zhuk, Isaac Gertman, George Zodiatis, Marios Nikolaidis, Andreas Nikolaidis, Stavros Stylianou

Proceedings Volume 10444, 104440I (2017) https://doi.org/10.1117/12.2279081

KEYWORDS: Oceanography, Data analysis, Data processing

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The Desktop Oceanographic Data Processing Module was developed for visual analysis of interdisciplinary cruise measurements. The program provides the possibility of data selection based on different criteria, map plotting, sea horizontal sections, and sea depth vertical profiles. The data selection in the area of interest can be specified according to a set of different physical and chemical parameters complimented by additional parameters, such as the cruise number, ship name, and time period. The visual analysis of a set of vertical profiles in the selected area allows to determine the quality of the data, their location and the time of the in-situ measurements and to exclude any questionable data from the statistical analysis. For each selected set of profiles, the average vertical profile, the minimal and maximal values of the parameter under examination and the root mean square (r.m.s.) are estimated. These estimates are compared with the parameter ranges, set for each sub-region by MEDAR/MEDATLAS-II and SeaDataNet2 projects. In the framework of the PERSEUS project, certain parameters which lacked a range were calculated from scratch, while some of the previously used ranges were re-defined using more comprehensive data sets based on SeaDataNet2, SESAME and PERSEUS projects. In some cases we have used additional sub- regions to redefine the ranges ore precisely. The recalculated ranges are used to improve the PERSEUS Data Quality Control.

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