Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach ; volume:21 ; number:1 ; year:2017 ; pages:197-215
Hydrology and earth system sciences ; 21, Heft 1 (2017), 197-215
- Urheber
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Wandera, Loise
Mallick, Kaniska
Kiely, Gerard
Roupsard, Olivier
Peichl, Matthias
Magliulo, Vincenzo
- DOI
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10.5194/hess-21-197-2017
- URN
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urn:nbn:de:101:1-201711059485
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:25 MESZ
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Beteiligte
- Wandera, Loise
- Mallick, Kaniska
- Kiely, Gerard
- Roupsard, Olivier
- Peichl, Matthias
- Magliulo, Vincenzo
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