Next Article in Journal
On-Orbit Geometric Calibration Model and Its Applications for High-Resolution Optical Satellite Imagery
Next Article in Special Issue
Mineral Classification of Land Surface Using Multispectral LWIR and Hyperspectral SWIR Remote-Sensing Data. A Case Study over the Sokolov Lignite Open-Pit Mines, the Czech Republic
Previous Article in Journal
Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling
Remote Sens. 2014, 6(5), 4369-4390; doi:10.3390/rs6054369
Article

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

1,2
, 1
, 3,* , 3,4
, 5
, 6
, 3
 and 4
Received: 31 March 2014; in revised form: 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)
View Full-Text   |   Download PDF [1595 KB, uploaded 19 June 2014]   |   Browse Figures
Abstract: 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.
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 which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

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.

AMA Style

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 Sensing. 2014; 6(5):4369-4390.

Chicago/Turabian Style

Lu, Jing; Tang, Ronglin; Tang, Huajun; Li, Zhao-Liang; Zhou, Guoqing; Shao, Kun; Bi, Yuyun; Labed, Jelila. 2014. "Daily Evaporative Fraction Parameterization Scheme Driven by Day–Night Differences in Surface Parameters: Improvement and Validation." Remote Sens. 6, no. 5: 4369-4390.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert