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Derivation of regional aerodynamic roughness length by combining optical remote sensing and ground measurements over agricultural land in Heihe River Basin
- Source :
- Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V. SPIE
- Publication Year :
- 2014
- Publisher :
- SPIE, 2014.
-
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.
- Subjects :
- Milieubeleid
WIMEK
Meteorology
Eddy covariance
Vegetation
Surface finish
regional scale
Aerodynamic roughness length
Environmental Policy
Current (stream)
remote sensing
Geography
Remote sensing (archaeology)
Heihe
agricultural
Spatial variability
Water Systems and Global Change
Scale (map)
Image resolution
Remote sensing
Subjects
Details
- Language :
- English
- ISBN :
- 978-1-62841-332-8
- ISBNs :
- 9781628413328
- Database :
- OpenAIRE
- Journal :
- Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V. SPIE
- Accession number :
- edsair.doi.dedup.....5e03026e89a937bef77d3b864051c159