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  • 标题:Estimation of Daily Evapotranspiration by Three-Temperatures Model at Large Catchment Scale
  • 本地全文:下载
  • 作者:Y. J. Xiong ; G. Y. Qiu ; J. Yin
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII-B8
  • 页码:767-774
  • 出版社:Copernicus Publications
  • 摘要:Three-temperatures model (3T model) was a recently proposed algorithm, which could be used to estimate actual evapotranspiration (ET) and evaluate environmental quality. The key parameters included are air temperature, land surface temperature and reference land temperature. Compared with other conventional ET estimation algorithms, site-specific parameters, such as surface resistance and aerodynamic resistance are not required. Although previous ground based experiments showed that the 3T model had reasonable precision for ET estimation, its application for satellite based remote sensing was not yet carried out. This study aims to evaluate its applicability at large catchment scale based on satellite remote sensing. First, the derivative processes to extend the 3T model for remote sensing were developed and by using TM image, a case study was presented. Thereafter, Penman-Monteith equation was chosen to validate the accuracy of the 3T model. Results showed that the absolute error of daily ET estimated by the two algorithms varied from 0.09 to 0.53 mm d -1 , with an average of 0.05 mm d -1 . Further analysis indicated that the 3T model had a reasonable accuracy. Meanwhile, the simplicity of the 3T model shows a good potential for remotely sensed actual evapotranspiration at large catchment scale
  • 关键词:Remote Sensing; Modeling; Algorithms; Landsat Image; Thermal; Environmental Monitoring
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