Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning

Rocco Palmitessa; Oliver Gyldenberg Hjermitslev; Heidi Egeberg Johansen; Karsten Arnbjerg-Nielsen; Peter Bauer-Gottwein; Peter Steen Mikkelsen; Roland Löwe

doi:10.5194/egusphere-egu22-8823

Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning

Rocco Palmitessa
, Oliver Gyldenberg Hjermitslev
, Heidi Egeberg Johansen
, Karsten Arnbjerg-Nielsen
, Peter Bauer-Gottwein
, Peter Steen Mikkelsen
, Roland Löwe

Department of Environmental and Resource Engineering

Alexandra Institute
Jammerbugt Municipality

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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Original language	English
Publication date	2022
Number of pages	2
DOIs	https://doi.org/10.5194/egusphere-egu22-8823
Publication status	Published - 2022
Event	European Geosciences Union General Assembly 2022 - Hybrid, Vienna, Austria Duration: 23 May 2022 → 27 May 2022

Conference

Conference	European Geosciences Union General Assembly 2022
Location	Hybrid
Country/Territory	Austria
City	Vienna
Period	23/05/2022 → 27/05/2022

Bibliographical note

EGU22-8823

Access to Document

10.5194/egusphere-egu22-8823Licence: CC BY

AbstractFinal published version, 293 KBLicence: CC BY

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Cite this

Palmitessa, R., Hjermitslev, O. G., Johansen, H. E., Arnbjerg-Nielsen, K., Bauer-Gottwein, P., Mikkelsen, P. S., & Löwe, R. (2022). Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning. Abstract from European Geosciences Union General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-8823

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title = "Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning",

author = "Rocco Palmitessa and Hjermitslev, \{Oliver Gyldenberg\} and Johansen, \{Heidi Egeberg\} and Karsten Arnbjerg-Nielsen and Peter Bauer-Gottwein and Mikkelsen, \{Peter Steen\} and Roland L{\"o}we",

note = "EGU22-8823; European Geosciences Union General Assembly 2022, EGU 2022 ; Conference date: 23-05-2022 Through 27-05-2022",

year = "2022",

doi = "10.5194/egusphere-egu22-8823",

language = "English",

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Palmitessa, R, Hjermitslev, OG, Johansen, HE, Arnbjerg-Nielsen, K, Bauer-Gottwein, P , Mikkelsen, PS & Löwe, R 2022, 'Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning', European Geosciences Union General Assembly 2022, Vienna, Austria, 23/05/2022 - 27/05/2022. https://doi.org/10.5194/egusphere-egu22-8823

Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning. / Palmitessa, Rocco; Hjermitslev, Oliver Gyldenberg; Johansen, Heidi Egeberg et al.
2022. Abstract from European Geosciences Union General Assembly 2022, Vienna, Austria.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning

AU - Palmitessa, Rocco

AU - Hjermitslev, Oliver Gyldenberg

AU - Johansen, Heidi Egeberg

AU - Arnbjerg-Nielsen, Karsten

AU - Bauer-Gottwein, Peter

AU - Mikkelsen, Peter Steen

AU - Löwe, Roland

N1 - EGU22-8823

PY - 2022

Y1 - 2022

U2 - 10.5194/egusphere-egu22-8823

DO - 10.5194/egusphere-egu22-8823

M3 - Conference abstract for conference

T2 - European Geosciences Union General Assembly 2022

Y2 - 23 May 2022 through 27 May 2022

ER -