Abstract
With the future launch of high spectral and spatial resolution satellites, we foresee that that it will be possible to use the information from these satellites in a timely fashion for the detection of stress, the prediction of yield and as a diagnostic tool for recurring low productivity areas for numerous crops. Preliminary results indicate a correlation between the vegetation fraction of airborne hyperspectral pixels and ground truth validation measurements. The advantages of the pixel unmixing algorithm for within-field crop properties mapping will be demonstrated.
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