OSA's Digital Library

Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 9, Iss. 10 — Oct. 10, 2011
  • pp: 102901–

Modeling visible and near-infrared snow surface reflectance-simulation and validation

Hongyi Wu and Ling Tong  »View Author Affiliations


Chinese Optics Letters, Vol. 9, Issue 10, pp. 102901- (2011)


View Full Text Article

Acrobat PDF (931 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations
  • Export Citation/Save Click for help

Abstract

Retrieving snow surface reflectance is difficult in optical remote sensing. Hence, this letter evaluates five surface reflectance models, including the Ross-Li, Roujean, Walthall, modified Rahman and Staylor models, in terms of their capacities to capture snow reflectance signatures using ground measurements in Antarctica. The biases of all the models are less than 0.0003 in both visible and near-infrared regions. Moreover, with the exception of the Staylor model, all models have root-mean-square errors of around 0.02, indicating that they can simulate the reflectance magnitude well. The R2 performances of the Ross-Li and Roujean models are higher than those of the others, indicating that these two models can capture the angle distribution of snow surface reflectance better.

© 2011 Chinese Optics Letters

OCIS Codes
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(290.0290) Scattering : Scattering
(300.0300) Spectroscopy : Spectroscopy
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics
(350.0350) Other areas of optics : Other areas of optics

Citation
Hongyi Wu and Ling Tong, "Modeling visible and near-infrared snow surface reflectance-simulation and validation," Chin. Opt. Lett. 9, 102901- (2011)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-9-10-102901


Sort:  Author  |  Year  |  Journal  |  Reset

References

  1. S. Liang, Quantitative Remote Sensing of Land Surfaces (Hoboken, Wiley-IEEE, 2004).
  2. W. Zhang, H. Wang, and Z. Wang, Chin. Opt. Lett. 7, 88 (2009).
  3. F. Maignan, F.-M. Breon, and R. Lacaze, Remote Sens. Environ. 90, 210 (2004).
  4. P. Bicheron and M. Leroy, J. Geophys. Res. 105, 26669 (2000).
  5. Y.-M. Chen, S. Liang, J. Wang, H.-Y. Kim, and J. V. Martonchik, Int. J. Remote Sens. 29, 6971 (2008).
  6. M. I. Mishchenko, J. M. Dlugach, E. G Yanovitskij, and N. T. Zakharova, J. Quant. Spectrosc. Ra. 63, 409 (1999).
  7. Y. Jin, F. Gao, C. B. Schaaf, X. Li, A. H. Strahler, C. J. Bruegge, and J. V. Martonchik, IEEE Trans. Geosci. Remote Sens. 40, 1593 (2002).
  8. W. Lucht, C. B. Schaaf, and A. H. Strahler, IEEE Trans. Geosci. Remote Sens. 38, 977 (2000).
  9. X. Li and A. H. Strahler, IEEE Trans. Geosci. Remote Sens. 30, 276 (1992).
  10. W. Wanner, X. Li, and A. H. Strahler, J. Geophys. Res. 100, 21077 (1995).
  11. C. L. Walthall, J. M. Norman, J. M. Welles, G. Campbell, and B. L. Blad, Appl. Opt. 24, 383 (1985).
  12. J. L. Roujean, M. Leroy, and P. Y. Deschamps, J. Geophys. Res. 97, 20455 (1992).
  13. H. Rahman, M. M. Verstraete, and B. Pinty, J. Geophys. Res. 98, 20779 (1993).
  14. W. F. Staylor and J. T. Suttles, J. Climate Appl. Meteorol. 25, 196 (1985).
  15. Z. Zhao, C. Qi, and J. Dai, Chin. Opt. Lett. 5, 168 (2007).
  16. S. R. Hudson, S. G.Warren, R. E. Brandt, T. C. Grenfell, and D. Six, J. Geophys. Res. 111, D18106 (2006).
  17. B. C. Kindel, Z. Qu, and A. F. H. Goetz, Appl. Opt. 40, 3483 (2001).
  18. Q. Duan, S. Sorooshian, and V. Gupta, Water Resour. Res. 28, 1015 (1992).

Cited By

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited