Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.265039

Keywords:

information system, satellite images, forest lands, monitoring, correlation-regression analysis, time changes

Abstract

This study considers the issue of assessing the time changes in forest plantations and constructing an algorithmic and software system for monitoring these changes. Modern systems that study vegetation changes do not have the necessary functionality and do not cover the range of observations discussed in this paper. Existing research methods are intended only to record changes that occur in forest ecosystems and take into consideration the peculiarities of a certain natural zone, which limits their use. At the same time, it should be understood that the requirements for modern systems should include additional components that could make the system universal and mobile. A comparative analysis of satellite images acquired from remote sensing by the Landsat 8 satellite system has been carried out to determine the areas affected by forest fires. During the classification, spectral analysis was used, and an index of fires was determined to indicate the burned areas. To analyze the changes that occur in forests due to fires, correlation-regression analysis is used. It has been proven that the area of sanitary felling after fires and the area of forest land traversed by fires demonstrated the greatest interconnection. The extrapolation and forecasting were carried out using a regression data model, the effectiveness of which is confirmed by a coefficient of determination of 0.87. The dependences built make it possible to conclude that by 2030 the number of forest fires will increase while the area of burned forests will not decrease. The developed mobile application could be popular among a significant group of users to monitor fire events. The practical result is the introduction of the built system, which makes it possible to quickly monitor forest plantations after fires and assess the areas that were affected.

Author Biographies

Olha Svynchuk, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

PhD, Associate Professor

Department of Software Engineering in Energy Industry

Olena Bandurka, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Senior Lecturer

Department of Software Engineering in Energy Industry

Oleg Barabash, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Doctor of Technical Sciences, Professor

Department of Software Engineering in Energy Industry

Oleh Ilin, State University of Telecommunications

Doctor of Technical Sciences, Professor

Department of Software Engineering

Andrii Lapin, Polissia National University

PhD

Department of Computer Science and Systems Modelling

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Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

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Published

2022-10-30

How to Cite

Svynchuk, O., Bandurka, O., Barabash, O., Ilin, O., & Lapin, A. (2022). Development of the information system for monitoring time changes in forest plantations based on the analysis of space images . Eastern-European Journal of Enterprise Technologies, 5(2(119), 31–41. https://doi.org/10.15587/1729-4061.2022.265039

Issue

Vol. 5 No. 2(119) (2022): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2022 Olha Svynchuk, Olena Bandurka, Oleg Barabash, Oleh Ilin, Andrii Lapin

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