An application of the Ts-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in and and semi-arid regions: Implementation and validation

被引:361
作者
Tang, Ronglin [1 ,2 ,3 ]
Li, Zhao-Liang [1 ,2 ]
Tang, Bohui [1 ]
机构
[1] Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] LSIIT, F-67412 Illkirch Graffenstaden, France
[3] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Evapotranspiration; MODIS; Validation; Large Aperture Scintillometer; T-s-VI triangle space; SURFACE-TEMPERATURE; ENERGY-BALANCE; HEAT-FLUX; AIR-TEMPERATURE; EVAPORATION; SOIL; RADIATION; METHODOLOGIES; MOISTURE; COVER;
D O I
10.1016/j.rse.2009.10.012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The commonly applied surface temperature-vegetation index (T-s-VI) triangle method is used to estimate regional evapotranspiration (ET) in and and semi-arid regions. A practical algorithm based on the T-s-VI triangle method is developed to determine quantitatively the dry and wet edges of this triangle space. First, the T-s-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 T-s-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/m(2). 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. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:540 / 551
页数:12
相关论文
共 1 条
  • [1] THE TRIANGULAR METHOD FOR EVAPOTRANSPIRATION ESTIMATION FROM LANDSAT DATA IN ARID AND SEMI-ARID REGIONS
    Wang Lijuan
    Guo Ni
    Sha Sha
    Hu Die
    Wang Wei
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 230 - 233