Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies : Modeling and validation in the context of precision agriculture

@inproceedings{Haboudanea2004HyperspectralVI,
  title={Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies : Modeling and validation in the context of precision agriculture},
  author={Driss Haboudanea and John R. Millera and Elizabeth Patteyc and Pablo J. Zarco-Tejadad and Ian B. Strachane},
  year={2004}
}
  • Driss Haboudanea, John R. Millera, +2 authors Ian B. Strachane
  • Published 2004
A growing number of studies have focused on evaluating spectral indices in terms of their sensitivity to vegetation biophysical parameters, as well as to external factors affecting canopy reflectance. In this context, leaf and canopy radiative transfer models are valuable for modeling and understanding the behavior of such indices. In the present work, PROSPECT and SAILH models have been used to simulate a wide range of crop canopy reflectances in an attempt to study the sensitivity of a set of… CONTINUE READING
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