Exploitation of spatial information in high resolution digital imagery to map leaf area index

Crop responses to management practices and the environment, as quantified by leaf area index (LAI), provide decision-making criteria for the delineation of crop management zones. The objective of this work was to investigate whether spatial correlations inferred from remotely sensed imagery can be u...

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Veröffentlicht in:	Precision agriculture 2007-12, Vol.8 (6), p.311-321
Hauptverfasser:	Walthall, C. L, Pachepsky, Y, Dulaney, W. P, Timlin, D. J, Daughtry, C. S. T
Format:	Artikel
Sprache:	eng
Schlagworte:	accuracy correlation Crop management digital images image analysis kriging leaf area index Leaves Maximum likelihood method remote sensing residual maximum likelihood method spatial data spectral analysis spectral vegetation index variograms
Online-Zugang:	Volltext
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