Share Email Print

Proceedings Paper

Derivation of regional aerodynamic roughness length by combining optical remote sensing and ground measurements over agricultural land in Heihe River Basin
Author(s): Qiting Chen; Li Jia; Ronald Hutjes
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Information of temporal and spatial variation of aerodynamic roughness length is required in most land surface models. The current research presents a practical approach for determining spatially distributed vegetation aerodynamic roughness length with fine temporal and spatial resolution by combining remote sensing and ground measurements. The basic framework of Raupach (1992), with the bulk surface parameters revised by Jasinski et al. (2005) has been applied to optical remote sensing data of HJ-1A/1B missions. In addition, a method for estimating regional scale vegetation height was introduced, so the aerodynamic roughness length, which is more preferred by users than the height normalized form has been developed. Direct validation on different vegetation classes have finally been performed taking advantage of the data-dense field experiments of Heihe Watershed Allied Telemetry Experimental Research (HiWATER). The roughness model had an overall good performance on most of Eddy Covariance sites of HiWATER. However, deviations still existed on different sites, and these have been further analyzed.

Paper Details

Date Published: 18 November 2014
PDF: 11 pages
Proc. SPIE 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, 926504 (18 November 2014); doi: 10.1117/12.2068995
Show Author Affiliations
Qiting Chen, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Li Jia, Institute of Remote Sensing and Digital Earth (China)
Joint Ctr. for Global Change Studies (China)
Ronald Hutjes, Wageningen Univ. (Netherlands)

Published in SPIE Proceedings Vol. 9265:
Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V
Tiruvalam N. Krishnamurti; Guosheng Liu, Editor(s)

© SPIE. Terms of Use
Back to Top