Research Papers

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

[+] Author Affiliations
Lihong Zeng

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

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

Kaishan Song

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

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

Bai Zhang, Zongming Wang

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

Lin Li

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

J. Appl. Remote Sens. 5(1), 053535 (July 11, 2011). doi:10.1117/1.3609840
History: Received March 14, 2010; Revised June 07, 2011; Accepted June 21, 2011; Published July 11, 2011; Online July 11, 2011
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The Songnen Plain is an important commodity grain product base in China for which a spatiotemporal pattern of actual evapotranspiration (ETa) would provide critical important information to evaluate crop growth status and water use efficiency. ETa 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 ETa was validated using eddy covariance surface data. The calculated and observed ETa values were highly consistent with a total difference of 18.26% in the whole growing season. Therefore, the ETa retrieval method based on remote sensing technology could satisfy the requirements for regional ETa estimation over the Songnen Plain. The total ETa 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). ETa exhibited obvious spatial variation, gradually increasing from low values in the southwest to higher values in the east and northeast. Monthly ETa varied with meteorological conditions, land covers, root-zone soil moisture, and vegetation phenology. Higher monthly ETa values appeared in June, July, and August with a maximum value of 139.5 mm observed in July. The average monthly ETa for water-body, woodland, and wetland was much higher than cropland and grassland during the growing season. Grassland obtained the lowest monthly ETa due to the scarcity of rainfall and lower groundwater level.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Topics

MODIS ; Water

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(1), 053535 (July 11, 2011). ; http://dx.doi.org/10.1117/1.3609840


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