Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data
Abstract - 0.13 for the two sites considering the SCOPE model with remote sensing-derived inputs. Model errors (RMSE) were considerably reduced in both sites, from 0.061 to 0.026 and 0.100 to 0.021, while the coefficient of determination (R 2) remained similar after correction, 0.82 and 0.47, respectively. The novelty of this study is to provide hourly ET predictions combining the temporal dynamics of ET in a natural environment with the spatially fragmented land cover in urban environments at a low computational cost. All model inputs are open data and available globally for most medium-sized and large cities. This approach can provide ET maps in different temporal resolutions to better manage vegetation in cities in order to mitigate the UHI effect and droughts.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data ; volume:26 ; number:4 ; year:2022 ; pages:1111-1129 ; extent:19
Hydrology and earth system sciences ; 26, Heft 4 (2022), 1111-1129 (gesamt 19)
- Creator
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Duarte Rocha, Alby
Vulova, Stenka Valentinova
van der Tol, Christiaan
Förster, Michael
Kleinschmit, Birgit
- DOI
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10.5194/hess-26-1111-2022
- URN
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urn:nbn:de:101:1-2022030304272432113388
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
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Associated
- Duarte Rocha, Alby
- Vulova, Stenka Valentinova
- van der Tol, Christiaan
- Förster, Michael
- Kleinschmit, Birgit
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