陈琪婷等:Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data
被阅读 888 次
2015-10-23
Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data
作者:Chen, QT (Chen, Qiting)[ 1,2,3 ] ; Jia, L (Jia, Li)[ 1,2 ] ; Hutjes, R (Hutjes, Ronald)[ 4 ] ; Menenti, M (Menenti, Massimo)[ 5 ]
REMOTE SENSING
卷: 7  期: 4  页: 3690-3709
DOI: 10.3390/rs70403690
出版年: APR 2015
 
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.
 
通讯作者地址: Jia, L (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[ 2 ] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China
[ 3 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[ 4 ] Wageningen Univ, Earth Syst Sci, NL-6700 AA Wageningen, Netherlands
[ 5 ] Delft Univ Technol, Dept Geosci & Remote Sensing, NL-2628 CN Delft, Netherlands