An optimization algorithm for separating land surface temperature and emissivity from multispectral thermal infrared imagery

@article{Liang2001AnOA,
  title={An optimization algorithm for separating land surface temperature and emissivity from multispectral thermal infrared imagery},
  author={Shunlin Liang},
  journal={IEEE Trans. Geoscience and Remote Sensing},
  year={2001},
  volume={39},
  pages={264-274}
}
Land surface temperature (LST) and emissivity are important components of land surface modeling and applications. The only practical means of obtaining LST at spatial and temporal resolutions appropriate for most modeling applications is through remote sensing. While the popular split-window method has been widely used to estimate LST, it requires known emissivity values. Multispectral thermal infrared imagery provides us with an excellent opportunity to estimate both LST and emissivity… CONTINUE READING
Highly Cited
This paper has 76 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 34 citations

76 Citations

051015'03'06'10'14'18
Citations per Year
Semantic Scholar estimates that this publication has 76 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 43 references

Land Surface Temperature Algorithm Theoretical Basis Documentation, Version

  • Z. Wan, MODIS
  • 1999
Highly Influential
4 Excerpts

General considerations regarding inverse and related problems,

  • H. Moritz
  • Inverse Problems: Principles and Applications in…
  • 1993
Highly Influential
3 Excerpts

and Z

  • Z.-L. Li, F. Becker, M. Stoll
  • Wan, “Evaluation of six methods for extracting…
  • 1999

Classification - based emissivity for land surface temperature measurement from space

  • Z. Wan, Y. Zhang, Y. Feng
  • 1998

and Y

  • W. Snyder, Z. Wan, Y. Zhang
  • Feng, “Classification-based emissivity for land…
  • 1998
1 Excerpt