Enhancing inundation monitoring of road networks using crowdsourced flood reports
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Enhancing inundation monitoring of road networks using crowdsourced flood reports ; volume:3 ; number:1 ; day:16 ; month:8 ; year:2024 ; pages:1-21 ; date:12.2024
Urban informatics ; 3, Heft 1 (16.8.2024), 1-21, 12.2024
- Creator
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Esparza, Miguel
Farahmand, Hamed
Liu, Xueming
Mostafav, Ali
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s44212-024-00055-7
- URN
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urn:nbn:de:101:1-2411032100186.321940680948
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Esparza, Miguel
- Farahmand, Hamed
- Liu, Xueming
- Mostafav, Ali
- SpringerLink (Online service)
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Technical Note: Resolution enhancement of flood inundation grids
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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
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GIS-BASED MAPPING OF ESTIMATED FLOOD INUNDATION AREA, GEOMETRICAL ASPECT
Semantic assessment and monitoring of crowdsourced geographic information
Dynamic flood inundation forecasting in real-time including associated uncertainties for operational flood risk management
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
GIS-BASED MAPPING OF ESTIMATED FLOOD INUNDATION AREA, GEOMETRICAL ASPECT
Semantic assessment and monitoring of crowdsourced geographic information