• Published 2014

Remote Sensing of Leaf Area Index ( LAI ) and a Spatiotemporally Parameterized Model for Mixed Grasslands

@inproceedings{Shen2014RemoteSO,
  title={Remote Sensing of Leaf Area Index ( LAI ) and a Spatiotemporally Parameterized Model for Mixed Grasslands},
  author={Li Shen and Zhaoqin Li and Xulin Guo},
  year={2014}
}
Leaf area index (LAI) is an important biophysical variable used to reflect the vegetation condition in ecosystems. However, accurate estimation of LAI is highly dependent upon the spatiotemporal scales. Both direct (destructive sampling, litter fall collection and point contact sampling) and indirect methods (optical instruments) have been used to measure LAI in mixed grasslands. In particular, remote sensing technique is rapidly gaining wide interest in developing various empirical and… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 87 REFERENCES

The potential of optical high resolution data for the assessment of leaf area index in East African rainforest ecosystems

  • J. Wu, W. Shen, W. Sun, P. T. Tueller
  • International Journal of Remote Sensing
  • 2009