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<p>This paper evaluates the pathological condition of Belarusian forests with the use of monitoring of traditional forest factors and remote sensing data. The aim of the research was to assess the condition of pine forests to monitor forest degradation based on biochemical analyzes of needle samples and aviation monitoring with the use of monitoring data and remote detection. The remote shooting was carried out quasi-synchronously with the ground sampling of needles using an unmanned aircraft complex of an aircraft type. Based on the results of biochemical analyzes of needle samples, biochemical indicators that characterize the stability and physiological state of pine were determined: the level of peroxidation of membrane lipids; the release of water-soluble substances from plant tissues, which reflect the integrity of the cell walls; the content of photosynthetic pigments in the needles.</p>
</abstract>

This paper evaluates the pathological condition of Belarusian forests with the use of monitoring of traditional forest factors and remote sensing data. The aim of the research was to assess the condition of pine forests to monitor forest degradation based on biochemical analyzes of needle samples and aviation monitoring with the use of monitoring data and remote detection. The remote shooting was carried out quasi-synchronously with the ground sampling of needles using an unmanned aircraft complex of an aircraft type. Based on the results of biochemical analyzes of needle samples, biochemical indicators that characterize the stability and physiological state of pine were determined: the level of peroxidation of membrane lipids; the release of water-soluble substances from plant tissues, which reflect the integrity of the cell walls; the content of photosynthetic pigments in the needles.

Assessment of the Pine Forests Condition Using Forest Factors, Physiological Characteristics and Remote Detection Data

Department of Agricultural, Forest and Transport Machinery

Agricultural Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper evaluates the pathological condition of Belarusian forests with the use of monitoring of traditional forest factors and remote sensing data. The aim...

Assessment of the Pine Forests Condition Using Forest Factors, Physiological Characteristics and Remote Detection Data

Publié en ligne: 24 mai 2021

Pages: 29 - 49

Reçu: 01 mars 2021

Accepté: 01 avr. 2021

DOI: https://doi.org/10.2478/agriceng-2021-0003

Mots clés
forest monitoring, biochemical analyzes, vegetation indices, remote sensing

© 2021 Mariusz Szymanek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Assessment of the Pine Forests Condition Using Forest Factors, Physiological Characteristics and Remote Detection Data

Publié en ligne: 24 mai 2021

Pages: 29 - 49

Reçu: 01 mars 2021

Accepté: 01 avr. 2021

DOI: https://doi.org/10.2478/agriceng-2021-0003

Mots clésforest monitoring, biochemical analyzes, vegetation indices, remote sensing

© 2021 Mariusz Szymanek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
forest monitoring, biochemical analyzes, vegetation indices, remote sensing