Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2192-6395
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China ; volume:10 ; number:3 ; day:19 ; month:9 ; year:2019 ; pages:386-403 ; date:9.2019
International journal of disaster risk science ; 10, Heft 3 (19.9.2019), 386-403, 9.2019
- Urheber
-
Zhang, Guoli
Wang, Ming
Liu, Kai
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s13753-019-00233-1
- URN
-
urn:nbn:de:101:1-2020020523395163351780
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
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Beteiligte
- Zhang, Guoli
- Wang, Ming
- Liu, Kai
- SpringerLink (Online service)
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