Abstract
Accumulating heavy metals in urban and suburban forest areas is becoming a challenge. Usually analytical methods are employed for assessment of elements concentration in absorbing environments. They are related to some difficulties for characteristic of the whole forest area. The index images were used for solving this task. Multispectral Santinel 2A satellite pictures made the base data for vegetation indices. More than 20 indices were chosen as aid to diagnose the increase of heavy metal concentration, especially photosynthetic apparatus alteration. The element analysis was done by atom-absorption method. The concentration of Cu, Zn, Pb, Cd, Ni, Cr и St was analyzed. The relation between concentration of each element and some vegetation indices was shown by regression analysis. We used multiple or Poisson regression according to predictors distribution. Basing on regression equation the map of Cu concentration in a small birch grove area was made and average Cu concentration in this forest estimated.
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