Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review

Yuei-An Liou and Sanjib Kumar Kar
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Yuei-An Liou: Center for Space and Remote Sensing Research, National Central University, Jhong-Li, Taoyuan 32001, Taiwan
Sanjib Kumar Kar: Center for Space and Remote Sensing Research, National Central University, Jhong-Li, Taoyuan 32001, Taiwan

Energies, 2014, vol. 7, issue 5, 1-29

Abstract: With the advent of new satellite technology, the radiative energy exchanges between Sun, Earth, and space may now be quantified accurately. Nevertheless, much less is known about the magnitude of the energy flows within the climate system and at the Earth’s surface, which cannot be directly measured by satellites. This review surveys the basic theories, observational methods, and different surface energy balance algorithms for estimating evapotranspiration (ET) from landscapes and regions with remotely sensed surface temperatures, and highlights uncertainties and limitations associated with those estimation methods. Although some of these algorithms were built up for specific land covers like irrigation areas only, methods developed for other disciplines like hydrology and meteorology, are also reviewed, where continuous estimates in space and in time are needed. Temporal and spatial scaling issues associated with the use of thermal remote sensing for estimating evapotranspiration are also discussed. A review of these different satellite based remote sensing approaches is presented. The main physical bases and assumptions of these algorithms are also discussed. Some results are shown for the estimation of evapotranspiration on a rice paddy of Chiayi Plain in Taiwan using remote sensing data.

Keywords: evapotranspiration; albedo; surface energy balance; remote sensing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

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