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Improving flood mapping in arid areas using Sentinel-1 time series data

Martinis, Sandro (2017) Improving flood mapping in arid areas using Sentinel-1 time series data. In: 2017 IEEE International Geoscience Proceedings, pp. 193-196. International Geoscience and Remote Sensing Symposium (IGARSS), 2017, 23.07.-28.07.2017, Fort Worth, USA. ISBN 978-1-5090-4950-9

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Abstract

This article presents a methodology to improve the flood classification results of an automatic Sentinel-1 Flood Service (S-1FS) in arid areas, where reliable SAR-based water detection is usually not possible. Statistical information of Sentinel-1 (S-1) backscatter time series data were used to remove water look-alikes related to sand surfaces which generally lead to significant overestimations of the flood extent as these are characterized by similar backscatter values as open water areas. The approach was demonstrated and evaluated on a flood event in May 2016 at Webi Shabelle River, Somalia, where a time series of 15 Sentinel-1 archive data were available. The algorithm proved capable to significantly improving the classification accuracy of the S-1 flood processing chain and increases the Overall Accuracy by approx. 5% and the User’s Accuracy of the class flood by approx. 26% within the study area.

Item URL in elib:https://elib.dlr.de/113636/
Document Type:Conference or Workshop Item (Speech)
Title:Improving flood mapping in arid areas using Sentinel-1 time series data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Martinis, Sandrosandro.martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361X
Date:July 2017
Journal or Publication Title:2017 IEEE International Geoscience Proceedings
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 193-196
ISBN:978-1-5090-4950-9
Status:Published
Keywords:Flood, Sentinel-1, time series, desert, arid areas
Event Title:International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Event Location:Fort Worth, USA
Event Type:international Conference
Event Dates:23.07.-28.07.2017
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 - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Martinis, Sandro
Deposited On:28 Sep 2017 14:56
Last Modified:31 Jul 2019 20:11

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