Record link: 
http://hdl.handle.net/20.500.12708/48089
-
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
-
Publisher DOI: 
10.5194/egusphere-egu22-4942
-
Publication Type: 
Inproceedings - Abstract Book Contribution
en
Language: 
English
-
Authors: 
Zhao, Jie 
Li , Yu 
Matgen, Patrick 
Pelich, Ramona 
Hostache, Renaud 
Wagner, Wolfgang 
Chini, Marco 
-
Organisational Unit: 
E120-01-1 - Forschungsgruppe Mikrowellenfernerkundung 
-
Published in: 
EGU General Assembly 2022 
-
Date (published): 
2022
-
Event name: 
EGU General Assembly 2022 
en
Event date: 
23-May-2022 - 27-May-2022
-
Event place: 
Vienna, Austria
-
Number of Pages: 
1
-
Publisher: 
Copernicus Publications
-
Keywords: 
flood mapping; SAR
en
Research Areas: 
Environmental Monitoring and Climate Adaptation: 100%
-
Science Branch: 
1059 - Sonstige und interdisziplinäre Geowissenschaften: 50%
1053 - Hydrologie: 50%
-
Appears in Collections:
Conference Paper

Thumbnail
(Graphical) Abstract
Adobe PDF
(294.5 kB)
Open Access CC BY 4.0
Show full item record

Page view(s)

189
checked on Dec 1, 2023

Download(s)

28
checked on Dec 1, 2023

Google ScholarTM

Check