Record link: 
http://hdl.handle.net/20.500.12708/48089
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Title: 
A Comparison of three deep learning-based methods for large-scale urban flood mapping using SAR data
en
Citation: 
Zhao, J., Li, Y., Matgen, P., Pelich, R., Hostache, R., Wagner, W., & Chini, M. (2022). A Comparison of three deep learning-based methods for large-scale urban flood mapping using SAR data. In EGU General Assembly 2022. EGU General Assembly 2022, Vienna, Austria. Copernicus Publications. https://doi.org/10.5194/egusphere-egu22-4942
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Publisher DOI: 
10.5194/egusphere-egu22-4942
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Publication Type: 
Inproceedings - Abstract Book Contribution
en
Language: 
English
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Authors: 
Zhao, Jie 
Li , Yu 
Matgen, Patrick 
Pelich, Ramona 
Hostache, Renaud 
Wagner, Wolfgang 
Chini, Marco 
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Organisational Unit: 
E120-01-1 - Forschungsgruppe Mikrowellenfernerkundung 
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Published in: 
EGU General Assembly 2022 
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Date (published): 
2022
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Event name: 
EGU General Assembly 2022 
en
Event date: 
23-May-2022 - 27-May-2022
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Event place: 
Vienna, Austria
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Number of Pages: 
1
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Publisher: 
Copernicus Publications
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Keywords: 
flood mapping; SAR
en
Research Areas: 
Environmental Monitoring and Climate Adaptation: 100%
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Science Branch: 
1059 - Sonstige und interdisziplinäre Geowissenschaften: 50%
1053 - Hydrologie: 50%
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Appears in Collections:
Conference Paper

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