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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Cited
17 citations as recorded by crossref.
- Spatio-temporal fusion methods for spectral remote sensing: a comprehensive technical review and comparative analysis R. Swain et al. https://doi.org/10.1007/s42965-023-00318-5
- A novel automated labelling algorithm for deep learning-based built-up areas extraction using nighttime lighting data B. Gui et al. https://doi.org/10.1016/j.knosys.2024.112702
- Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. https://doi.org/10.5194/essd-16-1283-2024
- Unprivileged groups are less served by green cooling services in major European urban areas A. Rocha et al. https://doi.org/10.1038/s44284-024-00077-x
- Quality assessment and control of urban environmental sensors using physical thresholding and machine learning-based probabilities J. Lee et al. https://doi.org/10.1080/20964471.2026.2623720
- City-wide, high-resolution mapping of evapotranspiration to guide climate-resilient planning S. Vulova et al. https://doi.org/10.1016/j.rse.2023.113487
- Study on the modified three-temperature model for spatial extrapolation of evapotranspiration based on individual urban vegetation evapotranspiration data Q. Li et al. https://doi.org/10.1007/s12273-024-1158-x
- Urbanization reduces evapotranspiration and alters its components across 20 global urban forests H. Chen et al. https://doi.org/10.1016/j.ecz.2025.100045
- Street green space is relevant but not sufficient for adapting to growing urban heat in world cities G. Falchetta et al. https://doi.org/10.1088/1748-9326/ae5c20
- Mapping evapotranspirative and radiative cooling services in an urban environment A. Rocha et al. https://doi.org/10.1016/j.scs.2022.104051
- Impact of soil moisture content on urban tree evaporative cooling and human thermal comfort L. Gobatti et al. https://doi.org/10.1038/s42949-025-00220-0
- Estimation of Urban Evapotranspiration at High Spatiotemporal Resolution and Considering Flux Footprints L. Zhou et al. https://doi.org/10.3390/rs15051327
- Enhancing urban runoff modelling using water stable isotopes and ages in complex catchments A. Smith et al. https://doi.org/10.1002/hyp.14814
- Partitioning urban forest evapotranspiration based on integrating eddy covariance of water vapor and carbon dioxide fluxes H. Li et al. https://doi.org/10.1016/j.scitotenv.2024.173201
- An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest F. Zhao et al. https://doi.org/10.1016/j.agrformet.2024.110117
- An individual, mechanistic and dynamical model to simulate urban tree growth and ecosystem services supply under future scenarios D. Stucchi et al. https://doi.org/10.1016/j.scitotenv.2026.181466
- A novel integrated spatiotemporal association and statistical framework revealing urban cooling mechanisms across morphological and climatic contexts F. Aghazadeh et al. https://doi.org/10.1016/j.scs.2026.107328
17 citations as recorded by crossref.
- Spatio-temporal fusion methods for spectral remote sensing: a comprehensive technical review and comparative analysis R. Swain et al. https://doi.org/10.1007/s42965-023-00318-5
- A novel automated labelling algorithm for deep learning-based built-up areas extraction using nighttime lighting data B. Gui et al. https://doi.org/10.1016/j.knosys.2024.112702
- Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. https://doi.org/10.5194/essd-16-1283-2024
- Unprivileged groups are less served by green cooling services in major European urban areas A. Rocha et al. https://doi.org/10.1038/s44284-024-00077-x
- Quality assessment and control of urban environmental sensors using physical thresholding and machine learning-based probabilities J. Lee et al. https://doi.org/10.1080/20964471.2026.2623720
- City-wide, high-resolution mapping of evapotranspiration to guide climate-resilient planning S. Vulova et al. https://doi.org/10.1016/j.rse.2023.113487
- Study on the modified three-temperature model for spatial extrapolation of evapotranspiration based on individual urban vegetation evapotranspiration data Q. Li et al. https://doi.org/10.1007/s12273-024-1158-x
- Urbanization reduces evapotranspiration and alters its components across 20 global urban forests H. Chen et al. https://doi.org/10.1016/j.ecz.2025.100045
- Street green space is relevant but not sufficient for adapting to growing urban heat in world cities G. Falchetta et al. https://doi.org/10.1088/1748-9326/ae5c20
- Mapping evapotranspirative and radiative cooling services in an urban environment A. Rocha et al. https://doi.org/10.1016/j.scs.2022.104051
- Impact of soil moisture content on urban tree evaporative cooling and human thermal comfort L. Gobatti et al. https://doi.org/10.1038/s42949-025-00220-0
- Estimation of Urban Evapotranspiration at High Spatiotemporal Resolution and Considering Flux Footprints L. Zhou et al. https://doi.org/10.3390/rs15051327
- Enhancing urban runoff modelling using water stable isotopes and ages in complex catchments A. Smith et al. https://doi.org/10.1002/hyp.14814
- Partitioning urban forest evapotranspiration based on integrating eddy covariance of water vapor and carbon dioxide fluxes H. Li et al. https://doi.org/10.1016/j.scitotenv.2024.173201
- An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest F. Zhao et al. https://doi.org/10.1016/j.agrformet.2024.110117
- An individual, mechanistic and dynamical model to simulate urban tree growth and ecosystem services supply under future scenarios D. Stucchi et al. https://doi.org/10.1016/j.scitotenv.2026.181466
- A novel integrated spatiotemporal association and statistical framework revealing urban cooling mechanisms across morphological and climatic contexts F. Aghazadeh et al. https://doi.org/10.1016/j.scs.2026.107328
Saved (final revised paper)
Latest update: 01 Jun 2026
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...
