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Open Access item Canopy Optical Indices from Infinite Reflectance and Canopy Reflectance Models for Forest Condition Monitoring: Application to Hyperspectral CASI data
|Authors:||Zarco-Tejada, Pablo J.|
Miller, J. R.
Mohammed, G. H.
Noland, T. L.
Sampson, P. H.
|Keywords:||Canopy Optical Indices, Forest Condition Monitoring, CASI|
|Abstract:||This paper reports on progress made to link physiologicallybased
indicators to optical indices from hyperspectral remote
sensing. This study is carried out on twelve sites of Acer
saccharum M. in the Algoma Region, Ontario (Canada),
where field measurements and hyperspectral CASI imagery
have been collected in 1997 and 1998 deployments.
Individual tree samples were collected at each site for
biochemical analysis and measurement of leaf chlorophyll,
chlorophyll fluorescence and carotenoid concentrations, as
well as leaf reflectance and transmittance. Physiological
indices and derivative analysis indices extracted from leaf
spectral reflectance have been tested at canopy level using
CASI data of 72 channels and 2 m spatial resolution at 3
simulation scales which progressively more closely represent
the observed above-canopy reflectance spectra from the sites:
single leaf reflectance data, infinite reflectance calculated
from optically-thick leaf simulation formulae, and canopy
reflectance models using nominal site canopy architecture
data. This study shows that selected algorithms connecting
leaf reflectance and transmittance data to corresponding
bioindicators at the leaf level can be expressed at canopy
level through canopy models yielding predictions of
bioindicators in airborne imaging spectrometer with
coefficients of determination as high as 0.91.|
|Description:||Presented at the IEEE 1999 International Geoscience and Remote Sensing Symposium, IGARSS'99, Hamburg (Germany), 28th June - 2nd July 1999|
|Appears in Collections:||(IAS) Comunicaciones congresos|
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