Mapping of the forest vegetation based on automated interpretation of remote sensing data

  • Mikita A. Shastakou Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus
  • Antanina A. Tapaz Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

Abstract

The article presents the technique and results of forest vegetation mapping based on automated interpretation of «Landsat-8», «Landsat-9», and «Sentinel-2» remote sensing data. The comprehensive digital processing of the satellite data was done using the tools of ENVI (version 5.6) and ArcMap (version 10.7) software packages. The values of spectral reflectance coefficients for six forest-forming species (pine, spruce, birch, black alder, aspen, oak) were obtained from the results of thematic data processing and mathematical and statistical analysis. The analysis of the spectral reflectance was performed in Statistica (version 10) and Microsoft Office Excel programmes. It allowed to establish the spectral deciphering signs of the studied species considering seasonal changes and determine the optimal times for the classification. The forest cover of the territory of Republican Landscape Reserve «Ozyory» was mapping on the medium-scale (1 : 125 000) level on the basic of the results of automated interpretation «Landsat-8», «Landsat-9», and «Sentinel-2» images. The automated detection of changes in the forest cover condition was based on multi-temporal remote sensing data – «Landsat-8» (2013–2022) and «Sentinel-2» (2018–2022) data. The article contains 2 of 12 maps of forest vegetation that show the current state and dynamics of the forest cover of the reserve territory. Cartographic design of the results of thematic processing of multispectral satellite images was carried out in ArcGIS (ArcMap (version 10.7)) and Adobe Illustrator (version 2019) programmes.

Author Biographies

Mikita A. Shastakou, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

postgraduate student at the department of geodesy and aerospace cartography, faculty of geography and geoinformatics

Antanina A. Tapaz, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

PhD (geography), docent; head of the department of geodesy and aerospace cartography, faculty of geography and geoinformatics

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Published
2024-06-24
Keywords: forest vegetation, mapping, interpretation, remote sensing data, «Landsat-8», «Landsat-9», «Sentinel-2»
How to Cite
Shastakou, M. A., & Tapaz, A. A. (2024). Mapping of the forest vegetation based on automated interpretation of remote sensing data. Journal of the Belarusian State University. Geography and Geology, 1, 98-112. Retrieved from https://journals.bsu.by/index.php/geography/article/view/6036
Issue
No 1 (2024): Journal of the Belarusian State University. Geography and Geology
Section
Geography

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