Crop fraction estimation from casi hyperspectral data using linear spectral unmixing and vegetation indices

@article{Liu2008CropFE,
  title={Crop fraction estimation from casi hyperspectral data using linear spectral unmixing and vegetation indices},
  author={Jiangui Liu and John R. Miller and Driss Haboudane and Elizabeth Pattey and Klaus P. Hochheim},
  journal={Canadian Journal of Remote Sensing},
  year={2008},
  volume={34},
  pages={S124 - S138}
}
It is important to estimate vegetation fraction for forecasting regional weather and in precision agriculture for assessing crop performance during emergence and early growth phases. In this study, two approaches, linear spectral unmixing and vegetation indices, were reviewed and evaluated for the estimation of crop fraction from hyperspectral data. Compact Airborne Spectrographic Imager (casi) hyperspectral data were acquired three times in the 2001 growing season over four agricultural fields… 

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