Abstract
The basic precondition for effective management and protection of a forest is a concept built on modern methods of collection, processing, analysis and publication of spatial data about forest coverage, as well as its health status. This paper provides a structural concept for integration of heterogeneous data in the support of the forest protection with implementation of the latest methods of remote sensing data collection. The main principles of the structural concept of Forest protection management system (FPMS) result from the assessment of the current and new available data sources (represented by the Diagram of data sources), data analysis and development of innovative mathematical techniques of image processing (represented by the Diagram of methods and tools). Mind maps of the proposed diagrams were created in the free mind mapping application FreeMind. The structural concept is represented by an analytical model of the co-operation of data sources, tools and applications. The dynamic structure was proposed using Unified Modelling Language (UML). The Diagram of the use cases is represented by a Use Case Diagram in UML. The Diagram of the processes, which describes the main processes realized within forest protection management, is represented by an Activity Diagram in UML. The UML diagrams were created in open-source software StarUML. The resulted structural concept of FPMS is the basis of a predictive model improvement and a web application development for the forest protection from the bark beetle.
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Acknowledgments
This work was supported by the Grants Nos. 1/0682/16 and 1/0954/15 of the Grant Agency of the Slovak Republic—VEGA and Grant No. APVV-0297-12 of The Slovak Research and Development Agency—APVV.
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Faixová Chalachanová, J., Ďuračiová, R., Papčo, J., Jakuš, R., Blaženec, M. (2017). Integration of Heterogeneous Data in the Support of the Forest Protection: Structural Concept. In: Ivan, I., Singleton, A., Horák, J., Inspektor, T. (eds) The Rise of Big Spatial Data. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-45123-7_28
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