Approach to forestry inventory and mapping by means of multi-spectral airborne data

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Abstract
In this study we evaluate the possibilities of the airborne sensor CASI (Compact Airborne Spectrographs Imager) when applied to mapping of variables characteristic of an ecologic and forestry inventory, i.e., wood biomass, leaf biomass, leaf area index (LAI), canopy cover, etc. The use of multiple regression techniques has made possible to obtain correlation values between 0.76 and 0.94 (p<0.05), between radiometrical and forestry data. The extrapolation ability of the models obtained has been verified starting from the comparison among different flight lines and several groups of sample areas.