Affiliation:
1. St. Petersburg State Forestry University named after S.М. Kirov
Abstract
The aim of the work is to develop a methodology for partial automation of the process of building a geoinformation model of forest ecosystems using Wolfram Mathematica software for the analysis of forests using open satellite images. The article deals with the functionality of the Wolfram Mathematica software and the use of mathematical calculation functions when identifying trees and their species on the image. The main attention in the article is paid to the process of step-by-step construction of a 3D model of the forest area. The scientific novelty of this study lies in the complete technological cycle of work with the use of a single software tool for processing the generated geoinformation, using a specially developed functional and its algorithms for the analysis and segmentation of satellite images. As a result of the study, a step-by-step methodology and algorithms for solving the problem posed in the research with possible options for further improvement were formed.
Publisher
Federal State Budgetary Institution - All-Russian Research Geological Oil Institute
Reference10 articles.
1. 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. pp. 94–100.
2. Alva J.V. Beginning Mathematica and Wolfram for Data Science. Berkeley : Apress; 2021. 416 p. DOI: 10.1007/978-1-4842-6594-9.
3. Wolfram S. Metamathematics: Foundations & Physicalization. Champaign: Wolfram Media; 2022. 456 p.
4. Bernard E. Introduction to Machine Learning. Champaign: Wolfram Media; 2021. 424 p.
5. Vagizov M.R., Shishkin M.M., Istomin E.P., Novikova M.A., Boytsov A.K. Development of a database of three-dimensional models of deciduous forest species of birch and aspen for a geoinformation model of the forest ecosystem. Geoinformatika. 2022;(3):39-46. DOI: 10.47148/1609-364X-2022-3-39-46.
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