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RAS PresidiumИсследование Земли из космоса Earth Research from Space

  • ISSN (Print) 0205-9614
  • ISSN (Online) 3034-5405

Remote monitoring of reforestation on the abandoned agricultural lands in the Republic of Mari El using the method of principal component analysis

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PII
10.31857/S0205961424020034-1
DOI
10.31857/S0205961424020034
Publication type
Article
Status
Published
Authors
S. A. Lezhnin
  • Affiliation: Volga State University of Technology
Volume/ Edition
Volume / Issue number 2
Pages
21-31
Abstract
The paper presents the results of monitoring natural forest regrowth on abandoned agricultural land in the Middle Volga Region using remote sensing methods. The Mari El Republic was chosen as the test site for this research. The use of modern remote sensing methods makes it possible to identify and evaluate areas of natural forest regrowth on abandoned agricultural lands with higher accuracy and at lower financial and labour costs. Minimum noise fraction transformed images (Landsat-8 OLI-8) were used in a combination of sixth (mid-infrared), fifth (near-infrared) and second (blue) spectral channels for the research. The findings revealed that there is a steady process of mass forest regrowth on abandoned agricultural land in Mari El. The total area of agricultural land used in the research was 763.69 thousand hectares. Reforestation with deciduous species is observed on a territory of 135.5 thousand hectares, which makes up 17.7% of the total area of agricultural land and 49.9% of the territory of fallow land in the Republic of Mari El. Reforestation with coniferous species is observed on 26.7 thousand hectares, which amounts to 3.5% and 9.85%, respectively. Future studies can address anthropogenic and natural impacts on the structure and dynamics of new forest stands. A comprehensive analysis of the density of forest regrowth on abandoned agricultural lands should be carried out using existing maps of agricultural land, population density, and other socio-economic factors.
Keywords
залежь MNF-трансформация тематические карты дистанционное зондирование Landsat-8 OLI
Date of publication
15.09.2025
Year of publication
2025
Number of purchasers
0
Views
5

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