Leaf Area Index Estimation Using Vegetation Indices Derived From Airborne Hyperspectral Images in Winter Wheat

@article{Xie2014LeafAI,
  title={Leaf Area Index Estimation Using Vegetation Indices Derived From Airborne Hyperspectral Images in Winter Wheat},
  author={Qiaoyun Xie and Wenjiang Huang and Dong Liang and Pengfei Chen and Chaoyang Wu and Guijun Yang and Jingcheng Zhang and Linsheng Huang and Dongyan Zhang},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2014},
  volume={7},
  pages={3586-3594}
}
Continuous monitoring leaf area index (LAI) of field crops in a growing season has a great challenge. The development of remote sensing technology provides a good tool for timely mapping LAI regionally. In this study, hyperspectral reflectance data (405-835 nm) obtained from an airborne hyperspectral imager (Pushbroom Hyperspectral Imager) were used to model LAI of winter wheat canopy in the 2002 crop growing season. LAI was modeled based on its semi-empirical relationships with six vegetation… CONTINUE READING

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