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| A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index | |
| 作者姓名： | GHULAM Abduwasit KASIMU Alimujiang |
| 作者单位： | 1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China;Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, LSIIT (UMR7005), 67400, Illkirch, France;Center for Environmental Sciences, Saint Louis University,St.Louis,MO 63103,USA 2. Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, LSIIT (UMR7005), 67400, Illkirch, France;Institute of Geographic Sciences and Natural Ressources Research, Chinese Academy of Sciences, Beijing 100101, China 3. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China 4. National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China 5. Center for Environmental Remote Sensing (CEReS), Chiba University, 33 Yayoi-cho Inage-ku Chiba 263-8522, Japan |
| 基金项目： | 国家重点基础研究发展计划(973计划);国家高技术研究发展计划(863计划) |
| 摘 要： | 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. |
| 收稿时间： | 2 February 2007 |
| 修稿时间： | 29 March 2007 |
A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index |
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| GHULAM Abduwasit,KASIMU Alimujiang.A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index[J].Science in China(Earth Sciences),2007,50(9):1359-1368. | |
| Authors: | Ghulam Abduwasit Li Zhao-Liang Qin QiMing Tong QingXi Wang JiHua Kasimu Alimujiang Zhu Lin |
| Institution: | (1) Institute of Remote Sensing and GIS, Peking University, Beijing, 100871, China;(2) Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection, LSIIT (UMR7005), 67400 Illkirch, France;(3) Institute of Geographic Sciences and Natural Ressources Research, Chinese Academy of Sciences, Beijing, 100101, China;(4) Center for Environmental Sciences, Saint Louis University, St. Louis, MO 63103, USA;(5) National Engineering Research Center for Information Technology in Agriculture, Beijing, 100089, China;(6) Center for Environmental Remote Sensing (CEReS), Chiba University, 33 Yayoi-cho Inage-ku, Chiba 263-8522, Japan |
| 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. |
| Keywords: | leaf water content shortwave infrared perpendicular water stress index (SPSI) remote estimation of vegetation water content |
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