气候变化领域集成服务门户(CCPortal): A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data

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DOI	10.1016/j.jag.2011.10.011
	A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data
	Song, Yi; Wang, Jiemin; Yang, Kun; Ma, Mingguo; Li, Xin; Zhang, Zhihui; Wang, Xufeng
通讯作者	Song, Y (通讯作者)
发表日期	2012
ISSN	1569-8432
EISSN	1872-826X
起始页码	76
结束页码	84
卷号	17
英文摘要	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 lambda 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 (lambda E). After considering the footprint of EC, the lambda 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. (C) 2011 Elsevier B.V. All rights reserved.
关键词	SONIC ANEMOMETER EVAPORATION TEMPERATURE MODIS VALIDATION RETRIEVAL ALGORITHM PRODUCTS BENEATH TOWER
英文关键词	Latent heat flux; Landsat TM and ETM; Surface resistance
语种	英语
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS记录号	WOS:000305265200009
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258018
推荐引用方式 GB/T 7714	Song, Yi,Wang, Jiemin,Yang, Kun,et al. A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data[J]. 中国科学院青藏高原研究所,2012,17.
APA	Song, Yi.,Wang, Jiemin.,Yang, Kun.,Ma, Mingguo.,Li, Xin.,...&Wang, Xufeng.(2012).A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,17.
MLA	Song, Yi,et al."A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 17(2012).