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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v42.i12.40
pages 32-45

Disaster Risk Assessment Based on Heterogeneous Geospatial Information

Nataliya N. Kussul
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine
Boris V. Sokolov
St. Petersburg Institute of Informatics and Automation of Russian Academy of Sciences, Russia
Yarema I. Zyelyk
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv, Ukraine
Vyacheslav A. Zelentsov
St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences
Sergey V. Skakun
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine
Andrey Yu. Shelestov
National University of Life and Environmental Sciences of Ukraine, Kiev

ABSTRACT

An integrated approach to assessment of disasters risk on the basis of heterogeneous geospatial information based on an ensemble approach to the analysis and data fusion technologies is proposed. It is stated that the created in perspective on the basis of proposed by Ukrainian authors of this article approach for risk assessment system may be an important component of the developed integrated intelligent system of monitoring and control of potentially dangerous complex objects and processes in crisis situations. Creation of such system is coordinated by SPIIRAN (and in particular, by Russian authors of this article) within the bounds of International Global Aerospace Monitoring System (IGMASS) project, initiated by the Russian Space Agency and supported by a number of national space agencies, including NSA of Ukraine.


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