Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices

@article{Pocas2015PredictingGW,
  title={Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices},
  author={Isabel Pocas and Arlete Rodrigues and Sara Gonçalves and Patr{\'i}cia M. Costa and Igor Gonçalves and Lu{\'i}s S. Pereira and Mario Cunha},
  journal={Remote Sensing},
  year={2015},
  volume={7},
  pages={16460-16479}
}
Several vegetation indices (VI) derived from handheld spectroradiometer reflectance data in the visible spectral region were tested for modelling grapevine water status estimated by the predawn leaf water potential (Ψpd). The experimental trial was carried out in a vineyard in Douro wine region, Portugal. A statistical approach was used to evaluate which VI and which combination of wavelengths per VI allows the best correlation between VIs and Ψpd. A linear regression was defined using a… CONTINUE READING
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