Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jag.2011.10.011 |
A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data | |
Song, Yi1,2; Wang, Jiemin1; Yang, Kun3; Ma, Mingguo1; Li, Xin1; Zhang, Zhihui1,4; Wang, Xufeng1,4 | |
通讯作者 | Song, Yi |
来源期刊 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION |
ISSN | 0303-2434 |
出版年 | 2012 |
卷号 | 17页码:76-84 |
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. |
英文关键词 | Latent heat flux Landsat TM and ETM Surface resistance |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000305265200009 |
WOS关键词 | SONIC ANEMOMETER ; EVAPORATION ; TEMPERATURE ; MODIS ; VALIDATION ; RETRIEVAL ; ALGORITHM ; CANOPIES ; PRODUCTS ; BENEATH |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
来源机构 | 中国科学院西北生态环境资源研究院 ; 中国科学院地球环境研究所 ; 中国科学院青藏高原研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/172908 |
作者单位 | 1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China; 2.Chinese Acad Sci, Inst Earth Environm, Xian 710075, Peoples R China; 3.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100085, Peoples R China; 4.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
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]. 中国科学院西北生态环境资源研究院, 中国科学院地球环境研究所, 中国科学院青藏高原研究所,2012,17:76-84. |
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,17,76-84. |
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):76-84. |
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