Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data

This paper reports on progress made within the Bioindicators of Forest Sustainability Project (Mohammed et al., 1997; Sampson et al., 1998) to develop links between physiologically-based bio-indicators (e.g., pigment concentrations, chlorophyll fluorescence) from field and laboratory data and optical indices from hyperspectral remote sensing data for assessing forest condition.