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

Remote Sensing

Qiting Chen²  Li Jia²  Ronald Hutjes⁴  Massimo Menenti³  Heiko Balzter¹ 

[1] State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; E-Mail;State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; E-Mail:;Department of Geosciences and Remote Sensing, Delft University of Technology, Stevinweg 1, Delft 2628 CN, The Netherlands; E-Mail:;Earth System Sciences, Wageningen University, P.O. Box 47, Wageningen 6700 AA, The Netherlands; E-Mail:

关键词: aerodynamic roughness length;    remote sensing;    regional scale;    agricultural;    Heihe;   

DOI  :  10.3390/rs70403690

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.