Local geographic information system of forestry lands: methodological features of creation, practical aspects and prospects of use
Abstract
Stating the Subject of the Study. The development of geoinformation systems as one of the elements of sustainable development in nature management, in particular when using forest resources, is especially relevant today. This is due to the fact that forests are the most balanced ecosystems that perform various beneficial functions for humans, and are one of the main sources of renewable energy. The introduction of GIS in nature management, especially in the field of forestry, allows to achieve key goals of sustainable development, and crucial is the development of methods for improving existing or creating new GIS is crucial. The use of modern geoinformation systems of different classes will allow to solve a number of important issues of operation and conservation of natural resources, in particular - land and forest.
The study aims. The aim of the article is to develop an algorithm for the creation of a functional geoinformation system on the example of forest funds on the basis of quality processing of source cartographic materials and structuring (consolidation) of attributive data
Methodology and materials. In the study are used generally recognized methods and approaches generally used in geoinformatics and data sciences. Initial data for the creation of GIS are the plans of forestry and taxation descriptions of forestry that were processed with the most famous software products: QGIS, MS Excel, MS Access, AdobePhotoshop.
Study results. The study describes the algorithm for the creation of GIS lands of the forest fund, which consists of the following basic stages: obtaining initial data, digitalization and spatial attachment of cartographic materials, formation of tables with attributive data, combining spatial data with attributes, checking the functionality of the created GIS. The article pays significant attention to the features of attributive data formation and ways of their subsequent use in combination with vector layers. The algorithm presented makes it possible to create a full-fledged GIS of the forest fund, the functionality of which allows to perform various tasks for the use of forest resources, in particular when planning and organizing forestry, as well as providing support for scientific research.
Scientific novelty and practical significance. Representation of effective methodology and methodological approaches to the creation of functional local geoinformation systems that take into account the specifics of forest land is carried out for the first time. The proposed algorithm for the creation of a local geoinformation system of forest funds makes it possible to receive a complete GIS, which has a wide list of types of applications: from planning and organization of economic activity to use in the educational and scientific fields.
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References
Frigerio, I., Ventura, S., Strigaro, D., Mattavelli, M., De Amicis, M., Mugnano, S., & Boffi, M. (2016). A GIS-based approach to identify the spatial variability of social vulnerability to seismic hazard in Italy. Applied Geography, 74, 12–22. https://doi.org/10.1016/j.apgeog.2016.06.014
Halder, B., Karimi, A., Mohammad, P., Bandyopadhyay, J., Brown, R. D. & Yaseen, Z. M. (2022). Investigating the relationship between land alteration and the urban heat island of Seville city using multi-temporal Landsat data. Theoretical and Applied Climatology. 150(1), 613-635. https://doi.org/10.1007/s00704-022-04180-8
Karabiniuk, М., Kalynych, І., Leta, V., Mykyta, M. & Melnychuk, V. (2022). Geological conditions of development and landscape differentiation of modern geological and geomorphological processes in the highlands of the Chornohora massif (Ukrainian Carpathians), Geodynamics. 1(32), 64-79. https://doi.org/10.23939/jgd2022.02.064
Wang, Y., Zhang, Y., Yang, G., Cheng, X., Wang, J., & Xu, B. (2022). Knowledge Mapping Analysis of the Study of Rural Landscape Ecosystem Services. Buildings, 12(10), 1517. https://doi.org/10.3390/buildings12101517
Korzhov, V., & Chaskovskyу, O. (2018). Methodological aspects of geoinformation system development for forest roads. Scientific Works of the Forestry Acad. of Sciences of Ukraine, (14), 259–264. https://doi.org/10.15421/411635 [in Ukrainian]
Gabriele, G. & Ingrid, V. (2018). GIS Instruments in Support of the Forestry Activities: A Case Study. Journal of Agricultural Science and Technology B, 8(6), 388-395. https://doi.org/10.17265/2161-6264/2018.06.006
Gregory, B. & Pat, R. (2009). Public Participation GIS: A New Method for Use in National Forest Planning. Forest Science, 55 (2), 166–182. https://doi.org/10.1093/forestscience/55.2.166
SH, S. (2015). Application of Geographic Information System (GIS) in Forest Management. Journal of Geography & Natural Disasters, 05(03), 145. https://doi.org/10.4172/2167- 0587.1000145
Latterini, F., Stefanoni, W., Venanzi, R., Tocci, D., & Picchio, R. (2022). GIS-AHP Approach in Forest Logging Planning to Apply Sustainable Forest Operations. Forests, 13(3), 484. https://doi.org/10.3390/f13030484
Hostiuk, Z. V., Burianyk, O. O., & Karabiniuk, M. M. (2022). Landscape Principles of Optimization of Functional Zoning of «Hutsulshchyna» National Nature Park. Journal of Geology, Geography and Geoecology, 31(3), 450–459. https://doi.org/10.15421/112241
Visztra, G. V., Frei, K., Hábenczyus, A. A., Soóky, A., Bátori, Z., Laborczi, A., Csikós, N., Szatmári, G., & Szilassi, P. (2023). Applicability of Point- and Polygon-Based Vegetation Monitoring Data to Identify Soil, Hydrological and Climatic Driving Forces of Biological Invasions—A Case Study of Ailanthus altissima, Elaeagnus angustifolia and Robinia pseudoacacia. Plants, 12(4), 855. https://doi.org/10.3390/plants12040855
Melnyk, A., Grodzynskyi, M., Obodovskiy, O., Kostiv, L., Karabiniuk, M., & Prytula, R. (2019). Altitudinal differentiation of snow cover in the north-eastern sector of Chornohora massive in Ukrainian Carpathians. Proceedings of the international conference of computational methods in sciences and engineering 2019 (ICCMSE-2019)(). AIP Publishing. https://doi.org/10.1063/1.5138049
Leta, V. V., Karabiniuk, M. M., Mykyta, M. M., & Kachailo, M. M. (2023). Use of geoinformation technologies in distance learning of future specialists in geography. Information Technologies and Learning Tools, 95(3), 112–123. https://doi.org/10.33407/itlt.v95i3.5104
Zápotocký, M. & Koreň, M. (2022). Multipurpose GIS Portal for Forest Management, Research, and Education., ISPRS International Journal of Geo-Information, 11(7): 405. https://doi.org/10.3390/ijgi11070405
Chaskovskyi, O., Andreichuk, Yu. & Yamelynets, T. (2021). Application of GIS in environmental protection on the example of the open source program QGIS. Prostir-M, 2021. [in Ukrainian]
Biletskyi, B. O., Lytvynov, V. A., Bespalov, V. P., Maistrenko, S. Ya., Zahreba, T. O. & Khurtsylava K. V. (2013). Practical application of GIS technologies for planning and mapping support of forest management (on the example of «GIS-lisproekt»). Mathematical machines and systems, 3, 76-86. [in Ukrainian]
Biletskyi, B.O. & Bespalov, V.P. (2009). Some aspects of using GIS tools to automate the process of processing cartographic information for forest management. Biletskyi, on Scientific and practical conference with international participation. Decision support systems. Theory and practice, Kyiv, 90–93. [in Ukrainian]
Maistrenko, S. Ya. (2015). The system “GIS-Lisproekt” as a prototype of geoinformation component of cadastral system. Machines and mathematical systems, 3, 93-99. [in Ukrainian]
Aleksiiuk, I., Hrynyk, H., Dyak, T., Hrynyk, O. & Zadorozhnyy, A. (2023). SmallForest mobile app: availability, functionality and use. Sylwan, 167(6), 384-396. https://doi.org/10.26202/sylwan.2023038
Geoportal “Forests of Ukraine” (2024). https://forestry.org.ua/ [in Ukrainian]
Derzhavne pidpryiemstvo «State Enterprise “Forestry Information and Analytical Center”» (FIAC) (2024). https://www.ukrforest.com/ [in Ukrainian]
Ministry of Education and Science of Ukraine (2024). Approved standards of higher education. Ministry of Education and Science of Ukraine. https://mon.gov.ua/osvita-2/vishcha-osvita-ta-osvita-doroslikh/naukovo-metodichna-rada-ministerstva-osviti-i-nauki-ukraini/zatverdzheni-standarti-vishchoi-osviti [in Ukrainian]
Zatserkovnyi, V. I., Burachek, V. H., Zhelezniak, O. O. & Tereshchenko, A. O. (2014). Geographic information systems and databases. NDU im. M. Hoholia. [in Ukrainian]
Awange, J. L., & Kyalo Kiema, J. B. (2013). Environmental Geoinformatics. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-34085-7
Geographic Information Systems - Data Science Approach. IntechOpen. https://doi.org/10.5772/intechopen.111053
Karimi, H.A. (2009). Handbook of Research on Geoinformatics. Pittsburgh, USA: Information Science Reference
State Agency of Forest Resources of Ukraine (2024). Public information. https://forest.gov.ua/agentstvo/publichna-informaciia
QGIS Documentations. QGIS User Guide (2024). https://docs.qgis.org/3.34/en/docs/user_manual/index.html
Mihaly, A., V. Roman. 2024. Application of a spatial dataset for monitoring invasive woody plant species in the forests of Transcarpathia, Ukraine. GEO&BIO, 26, 135–144. https://doi.org/10.53452/gb2611 [in Ukrainian]
On Approval of the Procedure for Forest Management, Resolution of the CMU № 112 (2023) (Ukraine). https://zakon.rada.gov.ua/laws/show/112-2023-п#Text [in Ukrainian]
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