Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

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ASSESSMENT OF AVAILABILITY OF WOOD RESOURCES USING GEOGRAPHIC INFORMATION AND ANALYTICAL SYSTEMS (THE KRASNOYARSK TERRITORY AS A CASE STUDY)


DOI: 10.5937/jaes16-16908
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 16 article 534 pages: 313 - 319

Aleksandr Petrovich Mokhirev
Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology, Lesosibirsk, Russia

Marija Olegovna Pozdnyakova
Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology, Lesosibirsk, Russia

Sergej Olegovich Medvedev
Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology, Lesosibirsk, Russia

Vladimir Olimbaevich Mammatov
Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology, Lesosibirsk, Russia

The article analyzes the availability of wood resources as a key indicator of the sustainability of logging operations. This study leads to the conclusion that the process of assessing the availability of wood resources is associated with the collection and analysis of a large amount of data. At the same time, the more raw data is analyzed, the better the evaluation is. This article describes the experience of creating a software product based on geographic information and analytical systems designed for detailed assessment of the entire set of factors that determine the level of avail-ability of forest resources. The results of the assessment of the availability of wood resources in the Krasnoyarsk Territory are presented. The results obtained will allow to increase the efficiency of the use of forest resources, to select the ideal technology and system of machines, to avoid environmental disturbance, to develop the optimal route for timber transportation which will eventually allow the forest user to make the largest profi t from the timber products received.
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The reported study was funded by RFBR according to the research project № 18-310-00311

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