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Open AccessEditorial

Advances in the Remote Sensing of Terrestrial Evaporation

Water Desalination and Reuse Center, Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
Laboratory of Hydrology and Water Management, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(9), 1138;
Accepted: 10 May 2019 / Published: 13 May 2019
(This article belongs to the Special Issue Advances in the Remote Sensing of Terrestrial Evaporation)
PDF [232 KB, uploaded 14 May 2019]


Characterizing the terrestrial carbon, water, and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for a number of decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented. View Full-Text
Keywords: evaporation; remote sensing; Earth observation; land surface modeling; land surface flux; CubeSats; high-resolution evaporation; remote sensing; Earth observation; land surface modeling; land surface flux; CubeSats; high-resolution
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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McCabe, M.F.; Miralles, D.G.; Holmes, T.R.; Fisher, J.B. Advances in the Remote Sensing of Terrestrial Evaporation. Remote Sens. 2019, 11, 1138.

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