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Backscatter analysis using multi-temporal and multi-frequency SAR data in the context of flood mapping at River Saale

Martinis, Sandro and Rieke, Christoph (2015) Backscatter analysis using multi-temporal and multi-frequency SAR data in the context of flood mapping at River Saale. Remote Sensing, 7, pp. 7732-7752. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs70607732 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/7/6/7732

Abstract

In this study, an analysis of multi-temporal and multi-frequency Synthetic Aperture Radar data is performed to investigate the backscatter behavior of various semantic classes in the context of flood mapping in central Europe. The focus is mainly on partially submerged vegetation such as forests and agricultural fields. The test area is located at River Saale, Saxony-Anhalt, Germany, which is covered by a time series of 39 TerraSAR-X data acquired within the time interval December 2009 to June 2013. The data set is supplemented by ALOS PALSAR L-band and RADARSAT-2 C-band data. The time series covers two inundations in January 2011 and June 2013 which allows evaluating backscatter variations between flood periods and normal water level conditions using different radar wavelengths. According to the results, there is potential in detecting flooding beneath vegetation in all microwave wavelengths, even in X-band for sparse vegetation or leaf-off forests.

Item URL in elib:https://elib.dlr.de/96685/
Document Type:Article
Title:Backscatter analysis using multi-temporal and multi-frequency SAR data in the context of flood mapping at River Saale
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Martinis, Sandrosandro.martinis (at) dlr.deUNSPECIFIED
Rieke, ChristophUNSPECIFIEDUNSPECIFIED
Date:11 June 2015
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:7
DOI :10.3390/rs70607732
Page Range:pp. 7732-7752
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:TerraSAR-X; ALOS PALSAR; RADARSAT-2; flood; backscatter analysis; time series; partially submerged vegetation
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: Martinis, Sandro
Deposited On:18 Jun 2015 09:02
Last Modified:21 Sep 2019 05:05

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