Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 7, pp. 105-114
Integration of satellite and meteorological data time series with statistical data in monitoring information systems
I.A. Uvarov
1 , A.E. Platonov
2 , A.V. Titkov
2 , V.A. Tolpin
1 , V.V. Maleev
2 1 Space Research Institute RAS, Moscow, Russia
2 Central Research Institute of Epidemiology of The Federal Service on Customers' Rights Protection and Human Well-being Surveillance, Moscow, Russia
Accepted: 08.12.2020
DOI: 10.21046/2070-7401-2020-17-7-105-114
The joint analysis of statistical data linked to administrative divisions and products of satellite data processing, as well as meteorological data, is of interest for identifying the relationships between the observed values. Integration of statistical data into information systems requires the development of special tools for automated processing, archiving, and the development of interactive analysis tools. They provide a harmonization of all types of source data to a comparable form, aggregation of a set of spatially distributed and time-repeated measurements to a number of integral characteristics. The paper presents the possibilities of solving this problem in the framework of the information system Vega-Science (a unique scientific installation, which is part of the IKI-Monitoring center for collective use). Examples of using the created solutions for analyzing data on the state of agricultural and forest vegetation, as well as on the spread of dangerous infectious diseases are given.
Keywords: remote monitoring, state of vegetation cover, natural focal infections, information system, meteorological data
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