Development of a smart geoinformation system module for forest taxing data processing

Author:

Vagizov Marsel1,Istomin Evgeny2,Kolbina Olga3,Yagotinсeva Natalya3,Morshchihina Anna1,Konzhgoladze Karina4

Affiliation:

1. Forestry and Nature Management Institute of St. Petersburg State Forestry University named after S.М. Kirov

2. Russian State Hydrometeorological University

3. Information Systems and Geotechnology Institute of Russian State Hydrometeorological University

4. Forestry and Environmental Management Institute of St. Petersburg State Forestry University named after S.М. Kirov

Abstract

The authors of the article offer a specialized geoinformation system for use in forestry. A distinctive feature of the proposed system is the use of data processing module included in the GIS. Forestry requires to improve the quality of management and monitoring of forest resources, to enhance the perception of geoinformation in a user friendly form. One of the perspective technologies of geospatial information display is infograms displaying the evaluation of the territory under analysis. Such way of display requires a specialized interface, technologies of processing and data interpretation included in structure of the program, and specific characteristics of the system offered by the authors of this work.

Publisher

Federal State Budgetary Institution - All-Russian Research Geological Oil Institute

Reference10 articles.

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2. Vagizov M.R. Use the interactive map service to calculate the number of trees program and technical method. Advances in current natural sciences. 2016;3:21–27.

3. Zhernova A.P., Vagizov M.R. Razrabotka metodiki avtomatizirovannogo deshifrirovaniya Eli evropeiskoi (Picea abies) s ispol'zovaniem geoinformatsionnykh tekhnologii i mashinnogo obucheniya [Development of a methodology for automated identification of European spruce (Picea abies) using geoinformation technologies and machine learning]. In: Zayats A.M. (ed.) Informatsionnye sistemy i tekhnologii: teoriya i praktika. Iss. 12. Saint Petersburg: SPBGLTU im. S.M. Kirova; 2020. pp. 52–56.

4. Istomin E.P., Stepanov S.Y., Petrov Y.A., Sidorenko A.Y. The conceptual model for processing Earth remote sensing data in the interests of territorial management. Informatsionnye tekhnologii i sistemy: upravlenie, ehkonomika, transport, pravo. 2020;1(37):195–205.

5. Kolbina O.N., Yagotintseva N.V. Infokommunkatsionnye tekhnologii v upravlenii gorodskimi lesami Sankt-Peterburga [Information and communication technologies for city forests management]. In: Ged'yu V.M., Alekseev A.S., Chubinskii A.N. et al. (eds.) Tsifrovye tekhnologii v lesnom sektore. Materialy Vserossiiskoi nauchno-tekhnicheskoi konferentsii (Saint Petersburg, 26–27 March 2020) Saint Petersburg: Politekh-Press; 2020. pp. 73–76.

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