A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data
By Zhao-Liang Li, Ronglin Tang, Zhengming Wan, Yuyun Bi, Chenghu Zhou, Bo-Hui Tang, Guangjian Yan, Xiaoyu Zhang. Italian National Conference on Sensors, 2009
696 citations recorded by the source corpus.
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.
Subfields: Artificial Intelligence, Global and Planetary Change, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/9c7e0eec33a75385aa7f3b56c9aacb71ae86c193
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In Global and Planetary Change
Citations in the corpus
- Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, neutral): “This review focuses on ground-based thermal remote sensing and does not consider satellite or (high-altitude) airborne remote sensing techniques, as these are covered by several recent review papers (e.g. Gowda et al., 2008; Kalma et al., 2008; Li et al., 2009).”
- An enhanced two-source evapotranspiration model for land (ETEML): Algorithm and evaluation (2015, background): “Recent advances in retrieval algorithms and satellite remote sensing technology enable large-scale mapping of ET (Kalma, McVicar, & McCabe, 2008; Kustas & Anderson, 2009; Li et al., 2009; Moran et al., 1996).”