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Computer Optics, 2023, Volume 47, Issue 2, Pages 306–313
DOI: https://doi.org/10.18287/2412-6179-CO-1160
(Mi co1129)
 

This article is cited in 1 scientific paper (total in 1 paper)

IMAGE PROCESSING, PATTERN RECOGNITION

Spectral reflectance analysis of abandoned agricultural lands in the Central Russian forest-steppe using Sentinel-2 satellite data

E. A. Terekhin

National Research University "Belgorod State University"
Full-text PDF (893 kB) Citations (1)
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Abstract: The article considers the spectral response of post-agrogenic landscapes in the forest-steppe zone based on Sentinel-2 data. The study was carried out on the territory of the Central Chernozem region. The type of forest that forms on abandoned agricultural land has a statistically significant effect on the spectral response in most Sentinel-2 bands. The reflectance of abandoned lands with deciduous and coniferous species is statistically significantly different in most bands. The reflec-tance of abandoned lands with mixed forests does not differ statistically significantly from other types of post-agrogenic landscapes. The reflectance of abandoned lands is inversely related to their forest cover in most Sentinel-2 bands. The strongest correlation with forest cover is typical for red (Band 4) and SWIR (Band 11, 12) ranges for all post-agrogenic landscape types. In the same bands, there are statistically significant differences between most of forest cover gradations of post-agrogenic landscapes. The established patterns make it possible to use the reflectance in the red (Band 4) and SWIR MSI bands (11, 12) to assess the forest cover of post-agrogenic landscapes.
Keywords: post-agrogenic landscapes, spectral responce, image processing, forest-steppe, Sentinel-2
Funding agency Grant number
Russian Science Foundation 22-27-00291
The work was supported by the Russian Science Foundation under grant # 22-27-00291.
Received: 21.05.2022
Accepted: 09.12.2022
Document Type: Article
Language: Russian
Citation: E. A. Terekhin, “Spectral reflectance analysis of abandoned agricultural lands in the Central Russian forest-steppe using Sentinel-2 satellite data”, Computer Optics, 47:2 (2023), 306–313
Citation in format AMSBIB
\Bibitem{Ter23}
\by E.~A.~Terekhin
\paper Spectral reflectance analysis of abandoned agricultural lands in the Central Russian forest-steppe using Sentinel-2 satellite data
\jour Computer Optics
\yr 2023
\vol 47
\issue 2
\pages 306--313
\mathnet{http://mi.mathnet.ru/co1129}
\crossref{https://doi.org/10.18287/2412-6179-CO-1160}
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  • https://www.mathnet.ru/eng/co/v47/i2/p306
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Computer Optics
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