Development of a technology for geoinformation modelling of forest ecosystems (part 2)-Reference-Cited by-同舟云学术

Development of a technology for geoinformation modelling of forest ecosystems (part 2)

Published:2022-04-04 Issue:1 Volume: Page:40-46
ISSN:1609-364X
Container-title:Geoinformatika
language:
Short-container-title:Geoinformatika

Author:

Vagizov Marsel¹,Istomin Eugeniy²

Affiliation:

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

2. Russian State Hydrometeorological University

Abstract

In the second part of the article the basic types of representation of different geoinformation models of forest ecosystem, possibilities of use of concrete type of models depending on tasks for the decision maker are considered. Some goals of forest geoinformation modeling are considered. This part of the article describes both the geographic information modeling process and the three types of forest ecosystem representation formed. The main tools of the process of geoinformation modeling of forest ecosystems are described and the possibilities of applying models at different levels of their representation.

Publisher

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

Subject

General Medicine

Reference4 articles.

1. Vagizov M.R. K voprosam primenenija iskusstvennogo intellekta v lesnom hozjajstve [On the use of artificial intelligence in forestry]. In: Lesnoe hozjajstvo: Materialy dokladov 85-j nauchno-tehnicheskoj konferencii professorsko-prepodavatel'skogo sostava, nauchnyh sotrudnikov i aspirantov (s mezhdunarodnym uchastiem) (Minsk, 1–13 February 2021). Minsk: BGTU; 2021. pp. 17–19.

2. Vagizov M.R. Development of a technology for geoinformationmodelling of forest ecosystems (part 1). Geoinformatika. 2021:4;43–49. DOI: 10.47148/1609-364X-2021-4-43-49.

3. Khitrik L.A., Vagizov M.R. Developing a geo-informationmodelling methodology for a forest quarter. In: Pavlov V.S. (ed.) Aktual'nye voprosy lesnogo hozjajstva: Materialy V mezhdunarodnoj molodezhnoj nauchno-prakticheskoj konferencii (St. Petersburg, 11–12 November 2021). St. Petersburg: SPbGLTU; 2021. pp. 191–195.

4. Vagizov M.R., Istomin E.P., Miheev V.L., Potapov A.P., Yagotinceva N.V. Visual digital forest model based on a remote sensing data and forest inventory data.Remote Sensing. 2021:13(20);4092. DOI: https://doi.org/10.3390/rs13204092.

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