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Automated flood mapping and monitoring using Sentinel-1 data

Twele, Andre and Martinis, Sandro and Cao, Wenxi and Plank, Simon (2016) Automated flood mapping and monitoring using Sentinel-1 data. In: Proceedings Living Planet Symposium 2016, SP-740, p. 1. Spacebooks Online. ESA Living Planet Symposium 2016, 09.-13. Mai 2016, Prague, Czech Republic. ISBN 978-92-9221-305-3 ISSN 1609-042X

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Official URL: http://www.spacebooks-online.com/product_info.php?cPath=104&products_id=17659


Flood extent maps derived from Synthetic Aperture Radar (SAR) data can be a key information source for an effective disaster management, helping humanitarian relief organizations and decision makers to obtain spatially-explicit information about inundated areas in a time- and cost-efficient manner. In comparison to manual or semi-automatic flood mapping approaches often utilized in the framework of rapid mapping activities, automatic SAR-based processing chains can substantially reduce the critical time delay between the delivery of satellite data after a crisis event and the subsequent provision of satellite derived crisis information (e.g. the extent of a flood situation) to emergency management authorities. In this work, an automated Sentinel-1 based processing chain designed for flood detection and monitoring in near real-time (NRT) is presented. The work is based upon a TerraSAR-X based flood service which has been adapted to Sentinel-1, including a number of enhancements for improving both robustness and thematic accuracy. Since no user intervention is required at any stage of the flood mapping procedure, the processing chain allows deriving time-critical disaster information in less than 45 minutes after a new dataset is available on the ESA Sentinel Data Hub. Due to the systematic acquisition strategy and high repeat rate of Sentinel-1, the processing chain can be set up as a web-based service which regularly informs users about the current flood conditions in a given area of interest. The processing chain is composed of the following main elements: a) automatic data ingestion through a Python-based script which routinely queries the ESA Sentinel Data Hub for new acquisitions matching user-defined criteria and subsequently downloads them, b) geometric correction and radiometric calibration using the graph processing tool (GPT) of the ESA Sentinel-1 toolbox (S1TBX) which is embedded in the Sentinel Application Platform (SNAP), c) initial classification using an automatic thresholding methodology, d) fuzzy-logic based classification refinement, e) final classification including auxiliary data, and f) dissemination and visualization of the results using a dedicated web client. The thematic accuracy of the processor has been assessed for two test-sites of a flood situation at the border between Greece and Turkey with encouraging accuracies. The accuracy assessment, which was performed separately for both standard polarizations (VV/VH) of the interferometric wide swath (IW) mode of Sentinel-1, further indicates that the thematic accuracy of VV polarization is slightly higher than that of VH polarization under calm wind conditions.

Item URL in elib:https://elib.dlr.de/102505/
Document Type:Conference or Workshop Item (Poster)
Title:Automated flood mapping and monitoring using Sentinel-1 data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Twele, AndreAndre.Twele (at) dlr.dehttps://orcid.org/0000-0002-8035-2625
Martinis, Sandrosandro.martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361X
Cao, Wenxiwenxi.cao (at) dlr.dehttps://orcid.org/0000-0001-9567-3053
Plank, Simonsimon.plank (at) dlr.dehttps://orcid.org/0000-0002-5793-052X
Date:August 2016
Journal or Publication Title:Proceedings Living Planet Symposium 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:p. 1
Publisher:Spacebooks Online
Series Name:ESA Special Publications (on CD)
Keywords:SAR, Floods, NRT processing, Classification
Event Title:ESA Living Planet Symposium 2016
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:09.-13. Mai 2016
Organizer:European Space Agency
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 Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Twele, Andre
Deposited On:29 Jan 2016 11:17
Last Modified:22 Nov 2016 12:23

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