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Retrieval of canopy biophysical variables from remote sensing data using contextual information

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Abstract

In order to improve the accuracy of biophysical parameters retrieved from remotely sensing data, a new algorithm was presented by using spatial contextual to estimate canopy variables from high-resolution remote sensing images. The developed algorithm was used for inversion of leaf area index (LAI) from Enhanced Thematic Mapper Plus (ETM+) data by combining with optimization method to minimize cost functions. The results show that the distribution of LAI is spatially consistent with the false composition imagery from ETM+ and the accuracy of LAI is significantly improved over the results retrieved by the conventional pixelwise retrieval methods, demonstrating that this method can be reliably used to integrate spatial contextual information for inverting LAI from high-resolution remote sensing images.

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Authors and Affiliations

  1. State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100875, China

    Zhi-qiang Xiao  (肖志强), Jin-di Wang  (王锦地), Yong-hua Qu  (屈永华) & Hua-wei Wan  (万华伟)

  2. School of Geography, Beijing Normal University, Beijing, 100875, China

    Zhi-qiang Xiao  (肖志强), Jin-di Wang  (王锦地), Yong-hua Qu  (屈永华) & Hua-wei Wan  (万华伟)

  3. Department of Geography, University of Maryland, College Park, MD, 20742, USA

    Shun-lin Liang  (梁顺林)

Authors
  1. Zhi-qiang Xiao  (肖志强)
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  2. Jin-di Wang  (王锦地)
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  3. Shun-lin Liang  (梁顺林)
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  4. Yong-hua Qu  (屈永华)
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  5. Hua-wei Wan  (万华伟)
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Corresponding author

Correspondence to Zhi-qiang Xiao  (肖志强).

Additional information

Foundation item: Project(2007CB714407) supported by the Major State Basic Research and Development Program of China; Project(2004DFA06300) supported by Key International Collaboration Project in Science and Technology; Projects(40571107, 40701102) supported by the National Natural Science Foundation of China

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Xiao, Zq., Wang, Jd., Liang, Sl. et al. Retrieval of canopy biophysical variables from remote sensing data using contextual information. J. Cent. South Univ. Technol. 15, 877–881 (2008). https://doi.org/10.1007/s11771-008-0160-2

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  • DOI: https://doi.org/10.1007/s11771-008-0160-2

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