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JOURNALS // Informatics and Automation // Archive

Informatics and Automation, 2023 Issue 22, volume 4, Pages 906–940 (Mi trspy1260)

Digital Information Telecommunication Technologies

Integration of heterogeneous information resources and earth remote sensing data in monitoring and management of territorial development

V. Zelentsov, I. Pimanov, S. Potryasaev

St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS)

Abstract: The article is devoted to the development of model-algorithmic support and software tools for automating the integration of Earth remote sensing data and other heterogeneous information resources in solving problems of monitoring and proactive management of territories development. A distinctive feature of the problem statement is the inclusion of tools for modeling the state of natural and technical objects located in the analyzed territory into the resources should be integrated. The development is based on the justification of the technology for integrating heterogeneous information resources, which includes an algorithm for choosing the type of architecture for the created automation tool complex, a method for describing the information process of integrating data and their joint processing, an algorithm for determining the best configuration of information resources when solving thematic problems, as well as a set of software and technological solutions for integration of remote sensing data with other necessary data and their joint use in modeling. As a result of research and developed algorithms application, it has been established that the most preferred type of systems’ architecture for integrating heterogeneous information resources is a service-oriented architecture. To describe the information integration process, it is proposed to use a Business Process Model and Notation. The key component of the development in terms of software and technological solutions for the integration of heterogeneous data is the proposed interaction scheme with data providers and consumers based on data abstraction layer creation. The application of the proposed solution allows you to bring heterogeneous data to a single format suitable for further processing on modeling tools. The testing carried out on specific thematic tasks of monitoring and managing the territories’ development showed the feasibility of the proposed integration technology and the developed software tools, as well as the achievement of a significant gain in the rapidness of solving thematic tasks.

Keywords: automation, proactive management, information resources, Earth remote sensing data, data integration, complex modeling, service-oriented architecture, multi-objective optimization.

UDC: 004.03

Received: 20.02.2023

DOI: 10.15622/ia.22.4.8



© Steklov Math. Inst. of RAS, 2024