Estimation of biochemical and geochemical variables in Norway spruce forest stands from hyperspectral image data

0360141 - ÚVGZ 2012 GB eng A - Abstract
Misurec, J. - Kopáčková, V. - Lhotáková, Z. - Albrechtová, J. - Hanuš, Jan
Estimation of biochemical and geochemical variables in Norway spruce forest stands from hyperspectral image data.
7th EARSel workshop of the special interest group in imaging spectroscopy : final programe 11th to 13th April 2011. Scotland: University of Edinburgh, 2011. s. 71-72.
[Earsel workshop of the special interest group in imaging spectroscopy /7./. 11.04.-13.04.2011, Edinburgh]
Institutional research plan: CEZ:AV0Z60870520
Keywords : biochemical variables * geochemical variables * Norway spruce * hyperspectral image data
Subject RIV: EH - Ecology, Behaviour

Although the chemistry of soil contaminants such as heavy metals has been the subject of numerous recent studies, knowledge of the behavior of polluting trace elements in the environment and mechanisms of their biotransformation is far from complete. On the ether hand, hyperspectral remote sensing provides a unique opportunity to assess natural processes in a multidisciplinary way at a large sca le. Quantitative image spectroscopy can help to answer irnportant questions about relationships between stress factor and consequential environmental disturbances of vegetation. Goal of this study was to assess health state of Norway spruce forest stands in the Sokolov basin, the area affected by long-term lignite mining. Ol the particular interest were the interactions between the diverse geochemical conditions in rock/soil environment and vegetation responses (e.g., Norway spruce) to these conditions on physiological bases. Parameters derived from the above statistica l analyses were used to model spatial distribution of biochemical variables (e.g., karotenoids) as well as soil geochemical parameters (e.g ., heavy metals) from hyMap data.
Permanent Link: http://hdl.handle.net/11104/0197766