Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
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Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery ; volume:30 ; number:25 ; day:28 ; month:4 ; year:2023 ; pages:67742-67757 ; date:5.2023
Environmental science and pollution research ; 30, Heft 25 (28.4.2023), 67742-67757, 5.2023
- Klassifikation
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Biowissenschaften, Biologie
- Urheber
-
Mohsen, Ahmed
Kiss, Tímea
Kovács, Ferenc
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11356-023-27068-0
- URN
-
urn:nbn:de:101:1-2023091608551514494001
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
10.12.2025, 15:51 MEZ
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Beteiligte
- Mohsen, Ahmed
- Kiss, Tímea
- Kovács, Ferenc
- SpringerLink (Online service)
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