Space monitoring of the environment – an effective mechanism of forest protection

  • Vadim Lialko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Galina Zholobak Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Artur Khodorovskyi Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Aleksandr Аpostolov Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Оksana Sybirtseva Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Lesia Yelistratova Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Inna Romanciuc Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Yelizaveta Dorofey Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
Keywords: forest, vermin, beetle, Carpathian National Nature Park, remote sensing of the Earth, Landsat-8, Sentinel-2

Abstract

The supervised classification of mountain forests in Carpathian National Nature Park was carried out in order to clarify the spatial distribution of their species composition and phytosanitary conditions. The area of deciduous forests in territory of the Carpathians is constantly increasing comparing with coniferous forests. The investigation of affection factors for Carpathian spruce forests established that the damaged forest areas are mainly located in relief depressions. On the basis of Sentinel-2 satellite data the phytosanitary condition of individual forest areas was analyzed. The significant differences in brightness values and vegetation indices NDVI and MSI between diseased and healthy areas were determined.

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Earth observation data applications: Challenges and tasks