Backscatter Analysis Using Multi-Temporal and Multi-Frequency SAR Data in the Context of Flood Mapping at River Saale, Germany

Remote Sensing

Sandro Martinis³  Christoph Rieke¹  Guy J-P. Schumann²  Heiko Balzter² 

[1] Department for Earth Observation, Friedrich-Schiller-University Jena, Grietgasse 6, 07743 Jena, Germany; E-Mail:;id="af1-remotesensing-01-07732">1German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germa;German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany

关键词: TerraSAR-X;    ALOS PALSAR;    RADARSAT-2;    flood;    backscatter analysis;    time series;    partially submerged vegetation;   

DOI  :  10.3390/rs70607732

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.