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Quantitative flood assessment: Case study of floods in Germany

Dumitru, Corneliu and Cui, Shiyong and Datcu, Mihai (2014) Quantitative flood assessment: Case study of floods in Germany. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014, pp. 3506-3509. IEEE Xplore. IGARSS 2014, 13.-18. Juli 2014, Quebec City, Canada. DOI: 10.1109/IGARSS.2014.6947238

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6947238


In this paper, we present a quantitative analysis for a rapid mapping scenario that performs a damage assessment of the 2013 floods in Germany. The scenario is created using pre-disaster and post-disaster TerraSAR-X images and an automated annotation system. Our data set is tiled into patches and Gabor filters are used as a primitive feature method applied to each patch separately. An active learning system based on support vector machine is implemented in order to group the features into categories. Once all categories are identified, these are semantically annotated using reference data as ground truth. In our evaluation 7 categories were retrieved with their specific taxonomies defined using our previous hierarchical annotation scheme. We show that the system supports rapid mapping scenarios (e.g., floods, tsunami, earthquake, etc.) and interactive mapping generation. In addition, with the help of this system, quantitative assessment of disasters can be carried out.

Item URL in elib:https://elib.dlr.de/94388/
Document Type:Conference or Workshop Item (Speech)
Title:Quantitative flood assessment: Case study of floods in Germany
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dumitru, Corneliucorneliu.dumitru (at) dlr.deUNSPECIFIED
Cui, Shiyongshiyong.cui (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:July 2014
Journal or Publication Title:Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2014.6947238
Page Range:pp. 3506-3509
Publisher:IEEE Xplore
Keywords:TerraSAR-X, active learning, disaster, flooding, quantitative assessment, support vector machine taxonomy
Event Title:IGARSS 2014
Event Location:Quebec City, Canada
Event Type:international Conference
Event Dates:13.-18. Juli 2014
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:08 Jan 2015 16:44
Last Modified:08 Jan 2015 16:44

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