Scalable flood inundation mapping using deep convolutional networks and traffic signage
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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Scalable flood inundation mapping using deep convolutional networks and traffic signage ; volume:3 ; number:1 ; day:6 ; month:4 ; year:2023 ; pages:1-19 ; date:12.2023
Computational urban science ; 3, Heft 1 (6.4.2023), 1-19, 12.2023
- Classification
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Soziale Probleme, Sozialdienste, Versicherungen
- Creator
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Alizadeh, Bahareh
Behzadan, Amir H.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s43762-023-00090-1
- URN
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urn:nbn:de:101:1-2023082309340110989944
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:03 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Alizadeh, Bahareh
- Behzadan, Amir H.
- SpringerLink (Online service)
Other Objects (12)
Detection of Urban Flood Inundation from Traffic Images Using Deep Learning Methods
Modelling of flood inundation due to levee breaches : sensitivity of flood inundation against breach process parameters
Multistep Flood Inundation Forecast with Artificial Neural Network
Technical Note: Resolution enhancement of flood inundation grids
Inundation scenarios for flood damage evaluation in polder areas
Hydrological and hydraulic models for determination of flood-prone and flood inundation areas
Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping
Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping
Identification of nighttime urban flood inundation extent using deep learning
Sequential data assimilation for real-time probabilistic flood inundation mapping
Enhancing inundation monitoring of road networks using crowdsourced flood reports
GIS-BASED MAPPING OF ESTIMATED FLOOD INUNDATION AREA, GEOMETRICAL ASPECT
Detection of Urban Flood Inundation from Traffic Images Using Deep Learning Methods
Modelling of flood inundation due to levee breaches : sensitivity of flood inundation against breach process parameters
Multistep Flood Inundation Forecast with Artificial Neural Network
Technical Note: Resolution enhancement of flood inundation grids
Inundation scenarios for flood damage evaluation in polder areas
Hydrological and hydraulic models for determination of flood-prone and flood inundation areas
Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping
Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping
Identification of nighttime urban flood inundation extent using deep learning
Sequential data assimilation for real-time probabilistic flood inundation mapping
Enhancing inundation monitoring of road networks using crowdsourced flood reports
GIS-BASED MAPPING OF ESTIMATED FLOOD INUNDATION AREA, GEOMETRICAL ASPECT
Detection of Urban Flood Inundation from Traffic Images Using Deep Learning Methods
Modelling of flood inundation due to levee breaches : sensitivity of flood inundation against breach process parameters
Multistep Flood Inundation Forecast with Artificial Neural Network
Technical Note: Resolution enhancement of flood inundation grids
Inundation scenarios for flood damage evaluation in polder areas
Hydrological and hydraulic models for determination of flood-prone and flood inundation areas
Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping
Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping
Identification of nighttime urban flood inundation extent using deep learning
Sequential data assimilation for real-time probabilistic flood inundation mapping
Enhancing inundation monitoring of road networks using crowdsourced flood reports