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Remote Sens. 2014, 6(5), 4369-4390;

Daily Evaporative Fraction Parameterization Scheme Driven by Day–Night Differences in Surface Parameters: Improvement and Validation

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
ICube, UdS, CNRS, 300 Bld Sebastien Brant, CS10413, Illkirch F-67412, France
Guangxi Key Laboratory of Saptial Information and Geomatics, Guilin University of Technology, Guangxi 541004, China
School of Computer and Information, HeFei University of Technology, Hefei 230009, China
Author to whom correspondence should be addressed.
Received: 31 March 2014 / Revised: 29 April 2014 / Accepted: 4 May 2014 / Published: 12 May 2014
(This article belongs to the Special Issue Recent Advances in Thermal Infrared Remote Sensing)
Full-Text   |   PDF [1595 KB, uploaded 19 June 2014]


In a previous study, a daily evaporative fraction (EF) parameterization scheme was derived based on day–night differences in surface temperature, air temperature, and net radiation. Considering the advantage that incoming solar radiation can be readily retrieved from remotely sensed data in comparison with surface net radiation, this study simplified the daily EF parameterization scheme using incoming solar radiation as an input. Daily EF estimates from the simplified scheme were nearly equivalent to the results from the original scheme. In situ measurements from six Ameriflux sites with different land covers were used to validate the new simplified EF parameterization scheme. Results showed that daily EF estimates for clear skies were consistent with the in situ EF corrected by the residual energy method, showing a coefficient of determination of 0.586 and a root mean square error of 0.152. Similar results were also obtained for partly clear sky conditions. The non-closure of the measured energy and heat fluxes and the uncertainty in determining fractional vegetation cover were likely to cause discrepancies in estimated daily EF and measured counterparts. The daily EF estimates of different land covers indicate that the constant coefficients in the simplified EF parameterization scheme are not strongly site-specific. View Full-Text
Keywords: evaporative fraction; day–night differences; validation; Ameriflux sites evaporative fraction; day–night differences; validation; Ameriflux sites
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Lu, J.; Tang, R.; Tang, H.; Li, Z.-L.; Zhou, G.; Shao, K.; Bi, Y.; Labed, J. Daily Evaporative Fraction Parameterization Scheme Driven by Day–Night Differences in Surface Parameters: Improvement and Validation. Remote Sens. 2014, 6, 4369-4390.

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