Evapotranspiration estimation using moderate resolution imaging spectroradiometer products through a surface energy balance algorithm for land model in Songnen Plain, China

Zeng, Lihong; Song, Kaishan; Zhang, Bai; Li, Lin; Wang, Zongming

doi:doi:10.1117/1.3609840

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Journal of Applied Remote Sensing / Volume 5 / Research Papers

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Evapotranspiration estimation using moderate resolution imaging spectroradiometer products through a surface energy balance algorithm for land model in Songnen Plain, China

J. Appl. Remote Sens. 5, 053535 (Jul 11, 2011); http://dx.doi.org/10.1117/1.3609840

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Abstract

References (31)

Lihong Zeng, Kaishan Song, Bai Zhang, and Zongming Wang

Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China

Graduate University of Chinese Academy of Sciences, Beijing 100049, China

Lin Li

Indiana–Purdue University, Department of Earth Science, Indianapolis, Indiana 46246

The Songnen Plain is an important commodity grain product base in China for which a spatiotemporal pattern of actual evapotranspiration (ET_a) would provide critical important information to evaluate crop growth status and water use efficiency. ET_a over the Songnen Plain in the 2008 growing season (from May to September) was mapped using the moderate resolution imaging spectroradiometer time-series products based on the surface energy balance algorithm for land model and the Penman-Monteith equation. The estimated ET_a was validated using eddy covariance surface data. The calculated and observed ET_a values were highly consistent with a total difference of 18.26% in the whole growing season. Therefore, the ET_a retrieval method based on remote sensing technology could satisfy the requirements for regional ET_a estimation over the Songnen Plain. The total ET_a over the Songnen Plain in the 2008 growing season ranged from 182.7 to 1002.4 mm, and the average value for the whole study area was 591.1 ± 122.2 mm (standard deviation). ET_a exhibited obvious spatial variation, gradually increasing from low values in the southwest to higher values in the east and northeast. Monthly ET_a varied with meteorological conditions, land covers, root-zone soil moisture, and vegetation phenology. Higher monthly ET_a values appeared in June, July, and August with a maximum value of 139.5 mm observed in July. The average monthly ET_a for water-body, woodland, and wetland was much higher than cropland and grassland during the growing season. Grassland obtained the lowest monthly ET_a due to the scarcity of rainfall and lower groundwater level.

History

Received Mar 14, 2010
Accepted Jun 21, 2011
Revised Jun 07, 2011
Published online Jul 11, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3609840

Citation

Lihong Zeng, Kaishan Song, Bai Zhang, Lin Li and Zongming Wang, "Evapotranspiration estimation using moderate resolution imaging spectroradiometer products through a surface energy balance algorithm for land model in Songnen Plain, China", J. Appl. Remote Sens. 5, 053535 (Jul 11, 2011); http://dx.doi.org/10.1117/1.3609840