Optimization of sensor wavelengths and bandwidths has been investigated based upon the analysis of in situ spectral reflectance data collected from experimental plots of blue grama grass. Sensor characteristics have been simulated by integration of spectral data over the region from 0.350 to 1.000 millimicrons. Subsequently, the integrated reflectance values were regressed against the canopy or plot variables (total wet biomass, total dry biomass, leaf water content, dry green biomass, dry brown biomass, and total chlorophyll content) to determine the relative significance between integrated reflectance and the canopy variables for the various wavelengths and bandwidths simulated. Three spectral regions of strang statistical significance (0.35-0.50, 0.63-0.69, and 0.74-1.00 millimicrons) were identified and found to be persistent both early and late in the growing season. In addition to quantifying the significance of various sensor wavelengths and bandwidths, the additive effects of adjacent spectral regions were also quantified. The results of this work enable quantitative judgments to be made regarding existing and hypothetical sensors and their effectiveness in monitoring green functioning vegetation.
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