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Geoinformation Technology of Data Processing in the Forestry Industry on the Example of a System “GIS-Lisproekt”

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Mathematical Modeling and Simulation of Systems (MODS 2019)

Abstract

The geoinformation technology of processing of cartographic and inventory information of forest management is described in the article, using the example of the “GIS-Lisproekt” system developed by the authors. Particular attention is paid to the post-processing of primary geospatial and inventory data of the forests and its accumulation in the geobase of the server type. The structure of the geobase has been designed while taking into account the hierarchical subordination of the subjects of forest management. As a base, a universal GIS - ArcGis from ESRI is chosen. In order to expand the functionality of a general-purpose GIS system, specialized tools for solving planning and cartographic support issues for forest sector management are proposed and developed. Arguments in support of the need to develop specialized tools and features of their implementation are given. A specialized component that allows simultaneous updates of “logically” related layers, as well as an automatic change of inventory and other semantic characteristics of forest allotments, are proposed. In conclusion, attention is paid to the need to ensure public access to the geospatial information resources related to forests and the possibility of providing it through the use of ArcGis as a basic GIS, data storage in a server-type geobase and their actual accumulation over various time periods. This, in turn, makes it possible to perform geospatial analysis and use its results in decision support systems for the forest sector.

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Correspondence to Svitlana Ya. Maistrenko .

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Maistrenko, S.Y., Doncov-Zagreba, T.A., Bespalov, V.P., Khurtsilava, K.V. (2020). Geoinformation Technology of Data Processing in the Forestry Industry on the Example of a System “GIS-Lisproekt”. In: Palagin, A., Anisimov, A., Morozov, A., Shkarlet, S. (eds) Mathematical Modeling and Simulation of Systems. MODS 2019. Advances in Intelligent Systems and Computing, vol 1019. Springer, Cham. https://doi.org/10.1007/978-3-030-25741-5_1

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