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Remote Sens. 2015, 7(4), 3690-3709; doi:10.3390/rs70403690

Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data

1
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2
Joint Center for Global Change Studies, Beijing 100875, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
Earth System Sciences, Wageningen University, P.O. Box 47, Wageningen 6700 AA, The Netherlands
5
Department of Geosciences and Remote Sensing, Delft University of Technology, Stevinweg 1, Delft 2628 CN, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editors: Heiko Balzter and Prasad S. Thenkabail
Received: 20 November 2014 / Revised: 16 March 2015 / Accepted: 23 March 2015 / Published: 27 March 2015
View Full-Text   |   Download PDF [36697 KB, uploaded 30 March 2015]   |  

Abstract

Most land surface models require information on aerodynamic roughness length and its temporal and spatial variability. This research presents a practical approach for determining the aerodynamic roughness length at fine temporal and spatial resolution over the landscape by combining remote sensing and ground measurements. The basic framework of Raupach, with the bulk surface parameters redefined by Jasinski et al., has been applied to optical remote sensing data collected by the HJ-1A/1B satellites. In addition, a method for estimating vegetation height was introduced to derive the aerodynamic roughness length, which is preferred by users over the height-normalized form. Finally, mapping different vegetation classes was validated taking advantage of the data-dense field experiments conducted in the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) project. Overall, the roughness model performed well against the measurements collected at most HiWATER flux tower sites. However, deviations still occurred at some sites, which have been further analyzed. View Full-Text
Keywords: aerodynamic roughness length; remote sensing; regional scale; agricultural; Heihe aerodynamic roughness length; remote sensing; regional scale; agricultural; Heihe
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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. (CC BY 4.0).

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MDPI and ACS Style

Chen, Q.; Jia, L.; Hutjes, R.; Menenti, M. Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data. Remote Sens. 2015, 7, 3690-3709.

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