Mapping plant functional types from MODIS data using multisource evidential reasoning

@inproceedings{Sun2007MappingPF,
  title={Mapping plant functional types from MODIS data using multisource evidential reasoning},
  author={Wanxiao Sun and Shunlin Liang and Gang Xu and Hongliang Fang and Robert E. Dickinson},
  year={2007}
}
Reliable information about the geographic distribution and abundance of major plant functional types (PFTs) around the world is increasingly needed for global change research. Using remote sensing techniques to map PFTs is a relatively recent field of research. This paper presents a method to map PFTs from the Moderate Resolution Imaging Spectroradiometer (MODIS) data using a multisource evidential reasoning (ER) algorithm. The method first utilizes a suite of improved and standard MODIS… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 20 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 48 REFERENCES

Knowledge formulation for supervised evidential

  • D. R. Peddle
  • 1995
Highly Influential
8 Excerpts

Methodologies for mapping plant functional types

  • W. Sun, S. Liang
  • Advances in Land Remote Sensing: System,
  • 2007
2 Excerpts

Analysis of convergent evidence in an evidential reasoning knowledge - based classification

  • A. P. Dempster
  • Remote Sensing of Environment
  • 2005

Similar Papers

Loading similar papers…