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- W87566472 abstract "Hyperspectral remote sensing methods are advancing rapidly and offer the promise of estimating canopy pigment, bio-chemistry and water content dynamics, which can in turn be linked to carbon assimilation, forest growth and photosynthetic capacity models. The recent EO-1 HYPERION mission and associated field campaigns with ground based spectra and HYMAP airborne 5m hyperspectral imagery has allowed foliage bio-physical and bio-chemistry variables of eucalypt vegetation to be analysed in conjunction with remotely sensed spectra. The paper details results from eucalypt forest near Tumbarumba (Bago-Maragle State Forest), Australia which has a number of eucalypt species, ranging in productivity and age. EO-1 Hyperion imagery was obtained in April 2001 and a field program was undertaken involving the establishment of plots, collection of standard forestry inventory data and green leaf samples. Leaf nitrogen content was measured from leaf samples using wet chemistry techniques and canopy N concentration estimated using leaf mass and proportional species leaf area index data. A number of models were developed from Hyperion reflectance, absorbance and derivate transformations using partial least squares regression and multiple linear regression. Initial results indicate that predictions of canopy foliar N using Hyperion spectra is possible for native multi-species eucalypt forest 1" @default.
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- W87566472 date "2003-01-01" @default.
- W87566472 modified "2023-10-08" @default.
- W87566472 title "Predicting Eucalypt Biochemistry from HYPERION Imagery" @default.
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