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

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

doi:10.1117/1.3609840

1 January 2011 Evapotranspiration estimation using moderate resolution imaging spectroradiometer products through a surface energy balance algorithm for land model in Songnen Plain, China

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

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 5, Issue 1, 053535 (January 2011). https://doi.org/10.1117/1.3609840

Abstract

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 ETa 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). 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 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.

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

Citation Download 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," Journal of Applied Remote Sensing 5(1), 053535 (1 January 2011). https://doi.org/10.1117/1.3609840

Published: 1 January 2011

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