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Responding to the flood emergency in Germany with the use of high tech from the space

Schwendemann, Gina Maricela (2021) Responding to the flood emergency in Germany with the use of high tech from the space. In: UN-SPIDER Bonn International Conference (virtual). UN-SPIDER/ZFL Bonn virtual International Conference, 16.-18.Nov. 2021, Bonn, Deutschland.

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Abstract

Nowadays, it is very often to see in the news around the world how wild rivers outside the control destroyed houses and flooded cities. This July in Germany, heavy rains caused floods and 182 casualties in North Rhine-Westphalia and Rhineland-Palatine. In this context, one of the first questions was, which villages were affected? Optical images only showed clouds. SAR (Synthetic Aperture Radar) images yielded poor results of flood detection. In this context, DLR took aerial photography of < 0.15 m resolution to perform flood damage analysis. The images were analysed by one operator by means of the ESRI deep learning framework. The flood damage training samples were obtained manually from 1.5 km² of image and the Mask-RCNN (Mask Region-Based - Convolutional Neural Network) model/algorithm was used to train them. The post-processed Mask R-CNN output were delivered in time to the federal institutions for their humanitarian actions of rescue and reconstruction. The results of the accuracy assessment methods will be published soon in a scientific paper.

Item URL in elib:https://elib.dlr.de/146736/
Document Type:Conference or Workshop Item (Speech)
Title:Responding to the flood emergency in Germany with the use of high tech from the space
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schwendemann, Gina Maricelagina.schwendemann (at) dlr.dehttps://orcid.org/0000-0002-8589-6445
Date:16 November 2021
Journal or Publication Title:UN-SPIDER Bonn International Conference (virtual)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:food damage detection, Mask R-CNN
Event Title:UN-SPIDER/ZFL Bonn virtual International Conference
Event Location:Bonn, Deutschland
Event Type:international Conference
Event Dates:16.-18.Nov. 2021
Organizer:United Nations Platform for Space-based Information for Disaster Management and Emergency Response(UN-SPIDER), Zentrum für Fernerkundung der Landoberfläche (ZFL) Universität Bonn
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 - Artificial Intelligence, R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Schwendemann, M. Sc(TUM) Gina Maricela
Deposited On:06 Dec 2021 10:00
Last Modified:06 Dec 2021 10:00

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