Abstract
Regional relationships between remote sensing data and the leaf area index (LAI) of coniferous forests were analyzed using data acquired by an Airborne Thematic Mapper (ATM). Eighteen coniferous forest stands with a range of projected leaf area index of 0.6–16.1 were sampled from an environmental gradient in moisture and temperature across west-central Oregon. Spectral radiance measurements to account for atmospheric effects were acquired above the canopies from a radiometer mounted on a helicopter. A strong positive relationship was observed between the LAI of closed canopy forest stands and the ratio of near-infrared (0.76–0.90 μm) and red (0.63–0.69 μm) spectral bands. A linear regression based on LAI explained 83% of the variation in the ratio of the atmospherically corrected bands. A log-linear equation fit the asymptotic characteristic of the relationship better, explaining 91% of the variance. The positive relationship is explained by a strong asymptotic inverse relationship between LAI and red radiation and a relatively flat response between LAI and near infrared radiation.
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