Stephan Verreynne

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A common problem in agricultural remote sensing is the sub-pixel spectral contribution of background soils, weeds and shadows which impedes the effectiveness of spectral vegetation indices to monitor site-specific variations in crop condition [1]. To address this mixture problem, the present study combines in situ and hyperspectral data in an alternative(More)
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