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A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index

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Abstract

In this paper, a new method for canopy water content (FMC) estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index (SPSI) is developed using NIR, SWIR wavelengths of Enhanced Thematic Mapper Plus (ETM+) on the basis of spectral features and distribution of surface targets with different water conditions in NIR-SWIR spectral space. The developed method is further explored with radiative transfer simulations using PROSPECT, Lillesaeter, SailH and 6S. It is evident from the results of validation derived from satellite synchronous field measurements that SPSI is highly correlated with FMC, coefficient of determination (R squared) and root mean square error are 0.79 and 26.41%. The paper concludes that SPSI has a potential in vegetation water content estimation in terms of FMC.

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Authors and Affiliations

  1. Institute of Remote Sensing and GIS, Peking University, Beijing, 100871, China

    Ghulam Abduwasit, Qin QiMing, Tong QingXi & Zhu Lin

  2. Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection, LSIIT (UMR7005), 67400, Illkirch, France

    Ghulam Abduwasit & Li Zhao-Liang

  3. Institute of Geographic Sciences and Natural Ressources Research, Chinese Academy of Sciences, Beijing, 100101, China

    Li Zhao-Liang

  4. Center for Environmental Sciences, Saint Louis University, St. Louis, MO, 63103, USA

    Ghulam Abduwasit

  5. National Engineering Research Center for Information Technology in Agriculture, Beijing, 100089, China

    Wang JiHua

  6. Center for Environmental Remote Sensing (CEReS), Chiba University, 33 Yayoi-cho Inage-ku, Chiba, 263-8522, Japan

    Kasimu Alimujiang

Authors
  1. Ghulam Abduwasit
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  2. Li Zhao-Liang
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  3. Qin QiMing
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  4. Tong QingXi
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  5. Wang JiHua
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  6. Kasimu Alimujiang
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  7. Zhu Lin
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Corresponding author

Correspondence to Ghulam Abduwasit.

Additional information

Supported by the Special Funds for the Major State Basic Research Project (973) (Grant No. G2000077900), the High-Tech Research and Development Program of China (Grant No. 2001AA135110) and EAGLE (Exploitation of AnGular Effects in Land Surface Observation From Satellites in the Sixth Framework Program (FP6) of EU) (Grant No. SST3CT2003502057)

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Ghulam, A., Li, ZL., Qin, Q. et al. A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index. SCI CHINA SER D 50, 1359–1368 (2007). https://doi.org/10.1007/s11430-007-0086-9

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  • DOI: https://doi.org/10.1007/s11430-007-0086-9

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