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Analysis of Forest Condition Based on MODIS Remote-Sensing Data

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Contemporary Problems of Ecology Aims and scope

Abstract

The potential for the assessment of the tree state based on remote-sensing data has been studied. The integral indicators of seasonal dynamics of the vegetation-index (NDVI) were used. The values for in 2003–2017 were compared for control (unharmed) and damaged test plots in the Khamar-Daban zone near the coast of Lake Baikal (Irkutsk oblast). It is shown that the use of the proposed integral indicators of the seasonal NDVI dynamics makes it possible to classify the test plots according to the tree state.

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Funding

The research was carried out with the financial support of the Russian Foundation for Basic Research (17-05-41012 RGO_a and 17-29-05074 ofi_m).

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Authors and Affiliations

  1. Federal Research Center Krasnoyarsk Science Center, Siberian Branch, Russian Academy of Sciences, 660036, Krasnoyarsk, Russia

    A. V. Kovalev

  2. Siberian Institute of Plants Physiology and Biochemistry, Siberian Branch, Russian Academy of Sciences, 664033, Irkutsk, Russia

    V. I. Voronin & V. A. Oskolkov

  3. Forest Institute, Siberian Branch, Russian Academy of Sciences, 660036, Akademgorodok, Krasnoyarsk, Russia

    V. G. Sukhovolskiy

Authors
  1. A. V. Kovalev
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  2. V. I. Voronin
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  3. V. A. Oskolkov
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  4. V. G. Sukhovolskiy
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Corresponding authors

Correspondence to A. V. Kovalev, V. I. Voronin, V. A. Oskolkov or V. G. Sukhovolskiy.

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The authors declare that they have no conflicts of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.

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Kovalev, A.V., Voronin, V.I., Oskolkov, V.A. et al. Analysis of Forest Condition Based on MODIS Remote-Sensing Data. Contemp. Probl. Ecol. 14, 717–722 (2021). https://doi.org/10.1134/S199542552107009X

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  • DOI: https://doi.org/10.1134/S199542552107009X

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