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A revised surface resistance parameterisation for estimating latent heat flux fromremotely sensed data
Song, Y (Song, Yi)[1,2]; Wang, JM (Wang, Jiemin)[1]; Yang, K (Yang, Kun)[3]; Ma, MG (Ma, Mingguo)[1]; Li, X (Li, Xin)[1]; Zhang, ZH (Zhang, Zhihui)[1,4]; Wang, XF (Wang, Xufeng)[1,4]
2012-07-01
Source PublicationInternational Journal of Applied Earth Observation andGeoinformation
Volume17Issue:SIPages:76-84
Subtype期刊论文
Abstract

Estimating evapotranspiration (ET) is required for many environmental studies. Remote sensing provides the ability to spatially map latent heat flux. Many studies have developed approaches to derive spatially distributed surface energy fluxes from various satellite sensors with the help of field observations. In this study, remote-sensing-based E mapping was conducted using a Landsat Thematic Mapper (TM) image and an Enhanced Thematic Mapper Plus (ETM+) image. The remotely sensed data and field observations employed in this study were obtained from Watershed Allied Telemetry Experimental Research (WATER). A biophysics-based surface resistance model was revised to account for water stress and temperature constraints. The precision of the results was validated using ‘ground truth’ data obtained by eddy covariance (EC) system. Scale effects play an important role, especially for parameter optimisation and validation of the latent heat flux ( E). After considering the footprint of EC, the E derived from the remote sensing data was comparable to the EC measured value during the satellite’s passage. The results showed that the revised surface resistance parameterisation scheme was useful for estimating the latent heat flux over cropland in arid regions.

KeywordLatent Heat Flux LAndsat Tm And eTm+ Surface Resistance
DOI10.1016/j.jag.2011.10.011
Indexed BySCIE
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/10158
Collection生态环境研究室
Corresponding AuthorSong, Y (Song, Yi)[1,2]
Affiliation1.Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
2.Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710075, China;
3.Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100085, China;
4.Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Song, Y ,Wang, JM ,Yang, K ,et al. A revised surface resistance parameterisation for estimating latent heat flux fromremotely sensed data[J]. International Journal of Applied Earth Observation andGeoinformation,2012,17(SI):76-84.
APA Song, Y .,Wang, JM .,Yang, K .,Ma, MG .,Li, X .,...&Wang, XF .(2012).A revised surface resistance parameterisation for estimating latent heat flux fromremotely sensed data.International Journal of Applied Earth Observation andGeoinformation,17(SI),76-84.
MLA Song, Y ,et al."A revised surface resistance parameterisation for estimating latent heat flux fromremotely sensed data".International Journal of Applied Earth Observation andGeoinformation 17.SI(2012):76-84.
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