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Updated: May 24, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
A review of current methodologies for regional evapotranspiration estimation from remotely sensed data
Zhao-Liang Li1, Ronglin Tang, Zhengming Wan
1Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China; E-Mails: trl_wd@163.com (R.T.); zhouch@lreis.ac.cn (C.H.Z.); tangbh@igsnrr.ac.cn (B.H.T.).
Abstract:
An overview of the commonly applied evapotranspiration (ET) models using remotely sensed data is given to provide insight into the estimation of ET on a regional scale from satellite data. Generally, these models vary greatly in inputs, main assumptions and accuracy of results, etc. Besides the generally used remotely sensed multi-spectral data from visible to thermal infrared bands, most remotely sensed ET models, from simplified equations models to the more complex physically based two-source energy balance models, must rely to a certain degree on ground-based auxiliary measurements in order to derive the turbulent heat fluxes on a regional scale. We discuss the main inputs, assumptions, theories, advantages and drawbacks of each model. Moreover, approaches to the extrapolation of instantaneous ET to the daily values are also briefly presented. In the final part, both associated problems and future trends regarding these remotely sensed ET models were analyzed to objectively show the limitations and promising aspects of the estimation of regional ET based on remotely sensed data and ground-based measurements.
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