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The contribution of hyperspectral remote sensing to identify vegetation characteristics necessary to assess the fate of Persistent Organic Pollutants (POPs) in the environment
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Abstract
During recent years hyperspectral remote sensing data were successfully used to characterise the state and properties
of vegetation. The information on vegetation cover and status is useful for a range of environmental modelling
studies. Recent works devoted to the understanding of the fate of Persistent Organic Pollutants (POPs) in the environment
showed that forests and vegetation in general act as a «sponge» for chemicals present in air and the intensity
of this «capture» effect depends on some vegetation parameters such as surface area, leaf composition, turnover
etc. In the framework of the DARFEM experiment conducted in late June 2001, different airborne hyperspectral
images were acquired and analysed to derive some vegetation parameters of relevance for multimedia models, such
as the spatial distribution of plant species and their relative foliage biomass. The study area, south west of Milan,
encompasses a range of land cover types typical of Northern Italy, including intensive poplar plantations and natural
broad-leaf forest. An intensive field campaign was accomplished during the aerial survey to collect vegetation
parameters and radiometric measurements. Results obtained from the analysis of hyperspectral images, map of vegetation
species, Leaf Area Index (LAI) and foliage biomass are presented and discussed