Analysis of the correlation between the red EDGE vegetation indices and the gross primary productivity of winter wheat crop according to gas and spectrometric measurements in Baryshevsky district of Kiev region

  • Vadim Lyalko Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Oleksii Sakhatskyi 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
  • Oksana Sybirtseva Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Stanislav Dugin Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Mariana Vakolyuk Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Oleksandra Khalaim Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
Keywords: ground-based spectrometry, red edge indices field, CO2 fluxes measurements, gross primary productivity, winter wheat crops, correlation

Abstract

The results of studies of the correlation between the red edge vegetation indices, defined from the ground spectrometric survey, and gross primary productivity of winter wheat crops in Baryshevsky district of Kiev region in 2015, which was determined using gasometric measurements of CO2 fluxes over vegetation cover are presented. In this work the calculations and analysis of following vegetation indices of red edge were carried out: the red edge position (REP), MERIS Terrestrial Chlorophyll Index (TCI), a modified red Edge Normalised Difference Index NDVI705, as well as canopy chlorophyll index (CCI) and the index of Double Difference (DD). According the results of the research the index REP showed the better correlation with gross primary productivity of vegetation cover for the studied sample of vegetation indices (correlation coefficient using the formula Pearson at r = 0.68). To build a more accurate statistical models and valid conclusions it is advisable to carry out further research of this issue. The results will be used for evaluation of the cropland productivity and for determining of the balance of CO2 fluxes over vegetation cover based on satellite data, which include the red edge bands (RapidEye, Sentinel-2 and so on).

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Section
Earth observation data applications: Challenges and tasks