中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Parameterizing the aerodynamic roughness length on a regional scale based on multi-source remote-sensing data

文献类型:期刊论文

作者Hu, Deyong1; Wang, Cheng1; Qiao, Kun1; Xu, Yingjun1; Deng, Lei1
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2015
卷号36期号:13页码:3701-3713
通讯作者Hu, DY (reprint author), Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China.
英文摘要Aerodynamic roughness length (z(0)) is one of those important biophysical parameters that influence energy exchange at the land-atmosphere interface, so it is significant to quantify the z(0) accurately. In this article, a scheme parameterizing land-surface z(0) at regional scale has been approached based on multi-resource remote-sensing data, including lidar and optical remote sensing. First, we retrieved the regional vegetation height from lidar data of Geoscience Laser Altimeter System (GLAS) on board the Ice, Cloud, and land Elevation Satellite (ICESat), and then the z(0) values of vegetated land surface were calculated using height data and canopy area index retrieved from remote-sensing data. Finally, the wall-to-wall map of z(0) in January and July 2008 were developed. The conclusions are as follows. (1) The vertical and horizontal structures of vegetation can be retrieved combining spaceborne lidar data and other optical remote-sensing data, so the vegetation characteristics and their intra-annual diversification of different land surfaces can be presented dynamically. The variation of z(0) with vegetation phenology can be quantified by modelling with vegetation height and multi-temporal leaf area index from multi-resource remote-sensing data. (2) The z(0) values of vegetated surface change significantly during leaf-on or leaf-off period in the year, but there are different features in the sparsely or densely vegetated surface. In the sparse vegetation areas, due to the relatively low leaf density in leaf-off season, the value of z(0) is also low. With the increase of leaf density in leaf-on season, the z(0) values will also increase. However, the relationship is complicated in the dense vegetation areas in leaf-on season; the z(0) values may or may not increase, but the zero-plane displacement heights will keep increasing continuously. This operational scheme to parameterize z(0) based on the vegetation height and canopy area index retrieved from multi-source remote-sensing data can be applied to quantify time serial z(0) at regional scale. Besides, it can also improve z(0) parameterization in land models or atmospheric models.
研究领域[WOS]Remote Sensing ; Imaging Science & Photographic Technology
收录类别SCI ; EI
语种英语
WOS记录号WOS:000358719600011
源URL[http://ir.ceode.ac.cn/handle/183411/38508]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Hu, Deyong
2.Qiao, Kun
3.Deng, Lei] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
4.[Wang, Cheng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
5.[Xu, Yingjun] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Hu, Deyong,Wang, Cheng,Qiao, Kun,et al. Parameterizing the aerodynamic roughness length on a regional scale based on multi-source remote-sensing data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2015,36(13):3701-3713.
APA Hu, Deyong,Wang, Cheng,Qiao, Kun,Xu, Yingjun,&Deng, Lei.(2015).Parameterizing the aerodynamic roughness length on a regional scale based on multi-source remote-sensing data.INTERNATIONAL JOURNAL OF REMOTE SENSING,36(13),3701-3713.
MLA Hu, Deyong,et al."Parameterizing the aerodynamic roughness length on a regional scale based on multi-source remote-sensing data".INTERNATIONAL JOURNAL OF REMOTE SENSING 36.13(2015):3701-3713.

入库方式: OAI收割

来源:遥感与数字地球研究所

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