Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1111-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Feb 2022
Research article |
| 25 Feb 2022
| 25 Feb 2022
Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data
Alby Duarte Rocha
CORRESPONDING AUTHOR
Geoinformation in Environmental Planning Lab, Technische Universität Berlin, 10623 Berlin, Germany
Stenka Vulova
Geoinformation in Environmental Planning Lab, Technische Universität Berlin, 10623 Berlin, Germany
Christiaan van der Tol
University of Twente, Faculty of Geo-Information Science and Earth
Observation (ITC), P.O. Box 217, AE 7500 Enschede, the Netherlands
Michael Förster
Geoinformation in Environmental Planning Lab, Technische Universität Berlin, 10623 Berlin, Germany
Birgit Kleinschmit
Geoinformation in Environmental Planning Lab, Technische Universität Berlin, 10623 Berlin, Germany
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Short summary
Evapotranspiration (ET) is a sum of soil evaporation and plant transpiration. ET produces a cooling effect to mitigate heat waves in urban areas. Our method uses a physical model with remote sensing and meteorological data to predict hourly ET. Designed for uniform vegetation, it overestimated urban ET. To correct it, we create a factor using vegetation fraction that proved efficient for reducing bias and improving accuracy. This approach was tested on two Berlin sites and can be used to map ET.
Evapotranspiration (ET) is a sum of soil evaporation and plant transpiration. ET produces a...
