УДК 004.94
https://doi.org/10.47148/1609-364X-2022-2-34-41
AbstractAbout the AuthorReferences
In the third part of the article the structural components of forest ecosystems geoinformation modeling subsystems are considered, the technological map of the main components is indicated. Some objectives of forest geoinformation modelling and technological support of the forest ecosystems geoinformation modelling process are considered. The systems: mapping, modelling and management system at conceptual and logical level as a part of the instrumental support of geoinformation models’ operability are described. The objectives of forestry in the application of geo-referenced models of forest ecosystems that can improve the quality of forest management and provide a decision support system for economic tasks arising in the forestry sector are indicated.
Marsel R. Vagizov
Candidate of Technical Sciences, Associate Professor
Head of the Department of Information Systems
and Technologies of Institute of Forestry and Nature Management,
St. Petersburg State Forestry University named after S.М. Kirov
5, Institutsky lane, St. Petersburg, 194021, Russia
e-mail: bars-tatarin@yandex.ru
Candidate of Technical Sciences, Associate Professor
Head of the Department of Information Systems
and Technologies of Institute of Forestry and Nature Management,
St. Petersburg State Forestry University named after S.М. Kirov
5, Institutsky lane, St. Petersburg, 194021, Russia
e-mail: bars-tatarin@yandex.ru
- Anashkin P.A. Digital information models as geospatial research tools. Vestnik SSUGT. 2022;27(3):19-29. DOI: 10.33764/2411-1759-2022-27-3-19-29.
- Vagizov M.R. Development of a technology for geoinformation modelling of forest ecosystems (part 1). Geoinformatika. 2021:4;43–49. DOI: 10.47148/1609-364X-2021-4-43-49.
- Vagizov M.R., Gavrilyuk A.A. Upravlenie lesnymi zemlyami na osnove geoinformatsionnykh modelei lesnykh ehkosistem [Forest land management based on geoinformation models of forest ecosystems]. In: Informatsionnye sistemy i tekhnologii: teoriya i praktika: sb. nauchn. tr. M.R. Vagizov, ed. Iss. 14. St. Petersburg: SPbGLTU; 2022. p. 94-100.
- Vagizov M.R., Zayats A.M. The infrastructure concept for a single geo-information centre for forest management (part 1). Vestnik SSUGT. 2022;27(3):50-61. DOI 10.33764/2411-1759-2022-27-3-50-61
- Vagizov M., Istomin E. Development of a technology for geoinformation modelling of forest ecosystems (part 2). Geoinformatika. 2022;1:40-46. DOI 10.47148/1609-364X-2022-1-40-46.
- Vasil’ev N.P., Vagizov M.R. WebGL dlya naglyadnogo predstavleniya geopolei [WebGL for visual representation of geofields]. In: Informatsionnye sistemy i tekhnologii: teoriya i praktika: sb. nauchn. tr. M.R. Vagizov, ed. Iss. 14. St. Petersburg: SPbGLTU; 2022. p. 72-94.
- Lyubimov A., Smirnov A., Kryuchkov A., Lyubimova T., Saksonov S. Evaluation of the forest regeneration based on remotely sensed data interpretation. Izvestia of Samara Scientific Center of the Russian Academy of Sciences. 2016;18(5-3):468-472.
- Martson A.D., Stroganov V.A. Acoust. Gradient boosting decision trees algorithm to estimate the price of used cars. In: Advanced national information systems and technologies. Materials of round-table discussions of VI interregional scientific-practical conference (Sevastopol, September 22–26, 2020). Sevastopol: SevGU; 2020. p. 32-34.
- Svidetel’stvo o gosudarstvennoi registratsii bazy dannykh 2022262198 Rossiiskaya Federatsiya. Trekhmernye modeli khvoinykh porod derev’ev Lisinskogo uchebno-opytnogo lesnichestva [Database registration certificate 2022262198. Three-dimensional models of coniferous trees of the Lisinsky training and experimental forestry]; date of filing хх.хх.20хх; date of publication хх.хх.20хх. Rightholder SPBGLTU. 1 p.
- Starovoytov A.V., Fattakhov A.V., Yachmeneva E.A., Khamiev M.M., Kisler D.A., Kosarev V.E., Nurgaliev D.K. Felling outturn assessment using earth remote sensing data. Uchenye zapiski Kazanskogo universiteta. Seriya Estestvennye nauki. 2021;163(4):591–602. DOI 10.26907/2542-064X.2021.4.591-602.
- Vagizov M., Potapov A., Konzhgoladze K., Stepanov S., Martyn I. Prepare and analyze taxation data using the Python Pandas library. IOP Conference Series: Earth and Environmental Science. Vol. 867. VI All-Russian Science and Technology Conference “Forests of Russia: Politics, Industry, Science, Education (FR 2021)” (Russia, St. Petersburg, 26–28 May 2021). 2021;867:012078. DOI 10.1088/1755-1315/876/1/012078.
- Vagizov M., Potapov A., Navalikhin S., Bakayeva A., Stepanov S. Application of ensemble machine learning methods for modeling the heights of individual forest elements based on inventory data processing. IOP Conference Series: Earth and Environmental Science. Vol. 806. II All-Russian scientific-technical conference “Digital Technologies in Forest Sector” (Russia, St. Petersburg, 18–19 March 2021). 2021;806:012035. DOI 10.1088/1755-1315/806/1/012035.
Key words: geospatial modelling, geomodelling technologies, geoprocess modelling, geospatial design indices, water indices