SHEN Yan-jun, XIA Jun, ZHANG Yong-qiang, XIAO Jie-ying, TANG Chang-yuan, KONDOH Akihiko. Dual-source remote sensing model for estimating land surface evapotranspiration and its application in North China Plain[J]. Advances in Water Science, 2006, 17(3): 371-375.
Citation:
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SHEN Yan-jun, XIA Jun, ZHANG Yong-qiang, XIAO Jie-ying, TANG Chang-yuan, KONDOH Akihiko. Dual-source remote sensing model for estimating land surface evapotranspiration and its application in North China Plain[J]. Advances in Water Science, 2006, 17(3): 371-375.
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Dual-source remote sensing model for estimating land surface evapotranspiration and its application in North China Plain
- 1.
Institute of Industrial Science, the University of Tokyo, Tokyo 153-8505, Japan;
- 2.
Institute of Geographical Science and Natural Resources, CAS, Beijing 100101, China;
- 3.
Graduate School of Science and Technology, Chiba University, Chiba 263-8522, Japan
Funds:
The study is financially supported by the National Natural Science Foundation of China (No.50279049).
- Received Date: 2004-11-18
- Rev Recd Date:
2005-01-17
- Publish Date:
2006-05-25
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Abstract
Based on the theory of linear dual-source evapotranspiration (ET) model,this paper develops a remote sensing model for estimating the land surface ET.The remote sensing model has two characteristics: to (1) simplify the VITT method and improve the accuracy of determining soil water status in a semiarid irrigation area,and (2) introduc the dual-source model in calculating land surface ET and improve the calculation accuracy of the mixed pixels.The remote sensing model is applied for calculating the land surface ET about a 1 000 km2 in North China Plain by using 13 Landsat TM and ETM+images during the period 2000-2002.It is illustrated that the remote sensing model based on dual-source linear concept can get good estimates when applied in semiarid irrigated area.
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Proportional views
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