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This paper presents the study of the relationships between crop variables and the red edge parameters extracted using the inverted Gaussian model. Variability of the red edge parameters induced by the variations of leaf and canopy model parameters was analyzed using PROSPECT and SAILH simulated spectra. The position and shape of the red edge are influenced mostly by leaf area index(LAI) and chlorophyll...
The estimation of the above-ground dry phytomass accumulation is important for monitoring crop growth, predicting potential yield, and estimating crop residues in the context of the carbon cycle. Hyperspectral remote sensing has been proven to be a very effective tool for the estimation of crop variables such as LAI, pigment and water content; therefore it is reasonable to expect that data from hyperspectral...
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