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Monitoring tree mortality in Ukrainian Pinus sylvestris L. forests using remote sensing data from earth observing satellites


  • Oleh V. Skydan Polissia National University
  • Tetiana P. Fedoniuk Polissia National University
  • Оleksandr S. Mozharovskii National Space Facilities Control and Test Center
  • Оleksandr V. Zhukov Bogdan Khmelnitsky Melitopol State Pedagogical University
  • Anastasiia A. Zymaroieva Polissia National University
  • Viktor М. Pazych Polissia National University
  • Vitaliy V. Hurelia Polissia National University
  • Taras V. Melnychuk Chornobyl Radiation-Ecological Biosphere Reserve



forest fires, pine, deforestation, maximum likelihood method


This article considers the application of remote sensing data to solve the problems of forestry in the Polissia zone (Ukraine). The satellite remote sensing was shown to be applicable to monitoring the damage caused by diseases and pests to forest resources and to assessing the effects of fires. During the research, a detailed analysis and optimization of the information content of Sentinel-2 long-term data sets was performed to detect changes in the forest cover of Polissia, affected by pests and damaged by fires. The following classification algorithms were used for automated decryption: the maximum likelihood method; cluster classification without training; Principal Component Analysis (PCA); Random Forest classification. The results of this study indicate the high potential of Sentinel-2 data for application in applied problems of forestry and vegetation analysis, despite the decametric spatial resolution. Our proposed workflow has achieved an overall classification accuracy of 90 % for the Polissia region, indicating its reliability and potential for scaling to a higher level, and the proposed forecast model is stationary and does not depend on time parameters. To improve the classification results, testing of different combinations of bands emphasized the importance of Band 8 in combination with red edge bands, as well as other bands with a resolution of 10 m for summer scenes. The red margin shows clearly visible differences in the spectral profiles, but bands with a higher resolution of 10 m were crucial for good results.

Author Biographies

Oleh V. Skydan, Polissia National University


Tetiana P. Fedoniuk, Polissia National University

Head of the Educational and Research Center for Ecology and Environmental Protection

Anastasiia A. Zymaroieva, Polissia National University

Associate Professor of the Department of Forest Ecology and Life Safety

Viktor М. Pazych, Polissia National University

Associate Professor of the Department of Forest Ecology and Life Safety

Vitaliy V. Hurelia, Polissia National University

Head of the Department of Geodesy and Land Management


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