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Using UAV data to improve the situational awareness for first responders in disaster management: The example of flooding in the Ahr Valley, Germany

Halbgewachs, Magdalena Felicitas and Angermann, Lucas Dominik and Wieland, Marc and Kippnich, Uwe and Lechner, Konstanze (2023) Using UAV data to improve the situational awareness for first responders in disaster management: The example of flooding in the Ahr Valley, Germany. In: 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, pp. 934-937. IEEE International Geoscience and Remote Sensing Symposium, 2023-07-16 - 2023-07-21, Pasadena, USA. doi: 10.1109/IGARSS52108.2023.10283061. ISBN 979-835032010-7. ISSN 2153-6996.

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Official URL: https://ieeexplore.ieee.org/document/10283061

Abstract

In October 2021 and 2022 two field exercises, led by the Bavarian Red Cross (BRK) and German Aerospace Center (DLR) took place in the Ahr Valley, Germany, which was hit by severe floods in July 2021. Focus thereby was the use of Unmanned Aerial Vehicles (UAV) for crisis mapping to enhance situational awareness for first responders in disaster management. The case study highlights the benefits of decentralized UAV data acquisition, processing, and transfer. This includes subsequent mapping of flooded areas as well as automatically detecting buildings and vehicles using machine learning workflows. Additionally, navigable and analyzable 3D scenes are calculated from the drone data and provided to the first responders. The exercise in the Ahr Valley showed that the acquisition of structured UAV data can improve situational awareness, disaster management strategies, and response capabilities, leading to more effective and efficient emergency management.

Item URL in elib:https://elib.dlr.de/196487/
Document Type:Conference or Workshop Item (Speech)
Title:Using UAV data to improve the situational awareness for first responders in disaster management: The example of flooding in the Ahr Valley, Germany
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Halbgewachs, Magdalena FelicitasUNSPECIFIEDhttps://orcid.org/0000-0003-1036-0109UNSPECIFIED
Angermann, Lucas DominikUNSPECIFIEDhttps://orcid.org/0009-0008-4181-6678146029853
Wieland, MarcUNSPECIFIEDhttps://orcid.org/0000-0002-1155-723XUNSPECIFIED
Kippnich, UweBayerisches Rotes KreuzUNSPECIFIEDUNSPECIFIED
Lechner, KonstanzeUNSPECIFIEDhttps://orcid.org/0000-0001-7443-8521UNSPECIFIED
Date:2023
Journal or Publication Title:2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/IGARSS52108.2023.10283061
Page Range:pp. 934-937
ISSN:2153-6996
ISBN:979-835032010-7
Status:Published
Keywords:UAV, 3D, flooding, situational awareness, crisis mapping
Event Title:IEEE International Geoscience and Remote Sensing Symposium
Event Location:Pasadena, USA
Event Type:international Conference
Event Start Date:16 July 2023
Event End Date:21 July 2023
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical remote sensing, R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Halbgewachs, Magdalena Felicitas
Deposited On:06 Nov 2023 11:43
Last Modified:24 Apr 2024 20:56

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