Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data

摘要: Radiative transfer theory and modeling assumptions were applied at laboratory field scales in order to study the link between leaf reflectance transmittance canopy hyper-spectral data for chlorophyll content estimation. This was focused on 12 sites of Acer saccharum M. (sugar maple) Algoma Region, Canada, where measurements, laboratory-simulation experiments, compact airborne spectrographic imager (CASI) imagery 72 channels visible near-infrared region up 1-m spatial resolution acquired 1997, 1998, 1999 campaigns. A different set 14 same species used 2000 validation methodologies. Infinite models levels through radiative simulation. The closed dense (LAI>4) forest canopies this study, high targeting crowns, allowed use optically thick simulation formulae turbid-medium SAILH MCRM estimation by scaling-up numerical model inversion approaches coupling PROSPECT model. Study merit function showed that red edge optical indices minimizing such as R/sub 750//R/sub 710/ perform better than when all single spectral from CASI are used, addition, effect shadows LAI variation minimized.