The Gabčíkovo hydroelectric power plant has significantly influenced Danube water regime, thus the condition of
floodplain forests in the region. Forest condition has been regularly monitored since 1995 using aerial photos. The
subject of this study was to improve the procedure of floodplain forest health evaluation based on digital multispectral
aerial images. Firstly, the forest mask was created with overall accuracy 89%, and next, tree health was evaluated
using defoliation as health indicator. We applied orthogonal transformation of 4 original bands of multispectral imagery
into two-dimensional space. Marginal values of digital numbers (DN) of the first component (New Synthetic
Channel – NSC1) were defined by fully foliated willow and poplar. The second component (NSC2) was optimised
for damage estimation. Calculated DN values of NSC2 represented a perpendicular distance from the line of DN
values of the first component. The distance from the line was proportionate to tree damage extent in a given pixel.
We generated linear regression model between pair values of NSC2 and defoliation evaluated for 38 trees in the field,
respectively, from aerial photos. A decline prediction resulted in r-square equal 0.86. Finally, we used the model to
predict defoliation for each picture element (pixel) of the component NSC2.
Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies
Informacja
SZANOWNI CZYTELNICY!
UPRZEJMIE INFORMUJEMY, ŻE BIBLIOTEKA FUNKCJONUJE W NASTĘPUJĄCYCH GODZINACH:
Wypożyczalnia i Czytelnia Główna: poniedziałek – piątek od 9.00 do 19.00