Special Section on Advances in Remote Sensing for Monitoring Global Environmental Changes

Estimation of regional evapotranspiration based on remote sensing: case study in the Heihe River Basin

[+] Author Affiliations
Yongmin Yang

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle & Related Land Surface Processes, Beijing 100101, China

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

Hongbo Su

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle & Related Land Surface Processes, Beijing 100101, China

Texas A&M University-Kingsville, Department of Environmental Engineering, Kingsville, Texas 78363

Renhua Zhang, Jing Tian

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Water Cycle & Related Land Surface Processes, Beijing 100101, China

Siquan Yang

Ministry of Civil Affairs of China, National Disaster Reduction Center, Beijing 100124, China

J. Appl. Remote Sens. 6(1), 061701 (Oct 16, 2012). doi:10.1117/1.JRS.6.061701
History: Received April 5, 2012; Revised June 19, 2012; Accepted August 13, 2012
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Abstract.  Accurate estimation of evapotranspiration (ET) has long been an important issue in hydrology. Many experimental observations indicate advection has a great impact on ET in arid and semiarid areas. However, most of the remote sensing models only focus on the vertical energy balance and deviate from reality. A revised Penman equation has been derived to estimate actual ET under normal conditions in order to account for advection. The parameter of the water availability for ET is introduced and the Ts/f (surface temperature and vegetation fraction) space is used to characterize this parameter in the revised formula. The estimates were validated using the observations measured with eddy covariance systems at the Yingke station. In 22 of all 24 days, the difference between the observations and the estimates was smaller than 70W/m2. The correlation coefficient is 0.91 and the RMSE is 48.38W/m2. This finding reveals that this approach is capable of providing reliable results. In addition, when considering advection, the potential ET can be 83.23W/m2 larger than the available energy. This finding indicates that the advection effect needs to be considered in remote sensing models in order to derive more reliable regional ET.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Yongmin Yang ; Hongbo Su ; Renhua Zhang ; Jing Tian and Siquan Yang
"Estimation of regional evapotranspiration based on remote sensing: case study in the Heihe River Basin", J. Appl. Remote Sens. 6(1), 061701 (Oct 16, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.061701


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