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

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	EGU General Assembly 2022 - Hybrid, Vienna, Austria Duration: 23 May 2022 → 27 May 2022

Conference

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

Bibliographical note

EGU22-8823

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10.5194/egusphere-egu22-8823Licence: CC BY

AbstractFinal published version, 293 KBLicence: CC BY

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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 EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-8823

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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 EGU General Assembly 2022, Vienna, Austria.

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

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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 - EGU General Assembly 2022

Y2 - 23 May 2022 through 27 May 2022

ER -