An application of the T<inf>s</inf>-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: Implementation and validation

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	An application of the Ts-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: Implementation and validation
	Tang Bohui; Li Zhao-Liang; Tang Ronglin
	2010
关键词	Algorithms Arid regions Evapotranspiration Radiometers Scintillation Vegetation Water supply
英文摘要	The commonly applied surface temperature-vegetation index (Ts-VI) triangle method is used to estimate regional evapotranspiration (ET) in arid and semi-arid regions. A practical algorithm based on the Ts-VI triangle method is developed to determine quantitatively the dry and wet edges of this triangle space. First, the Ts-VI triangle method is reviewed. Assumptions involved in this method are highlighted, and advantages, disadvantages and applicability are discussed. Then, an experimental use of the Ts-VI triangle method is developed and applied to several MODIS/TERRA datasets acquired during the Heihe Field Experiment from May 20th to August 21st, 2008. The sensible heat fluxes retrieved using MODIS data from a grassland located in the middle reach of Heihe river basin, Northwest China, are in good agreement with those measured from a Large Aperture Scintillometer (LAS). The Root Mean Square Error of this comparison is 25.07 W/m². It is shown that determination of dry and wet edges using the proposed algorithm is accurate enough at least in most cases of our study for the estimates of regional surface ET. © 2009 Elsevier Inc. All rights reserved.
出处	Remote Sensing of Environment
卷	114 期:3 页:540-551
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24586]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Tang Bohui,Li Zhao-Liang,Tang Ronglin. An application of the Ts-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: Implementation and validation. 2010.