Martinis, Sandro und 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, Seiten 7732-7752. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs70607732. ISSN 2072-4292.
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Offizielle URL: http://www.mdpi.com/2072-4292/7/6/7732
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/96685/ | ||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
Titel: | Backscatter analysis using multi-temporal and multi-frequency SAR data in the context of flood mapping at River Saale | ||||||||||||
Autoren: |
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Datum: | 11 Juni 2015 | ||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Ja | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Ja | ||||||||||||
Band: | 7 | ||||||||||||
DOI: | 10.3390/rs70607732 | ||||||||||||
Seitenbereich: | Seiten 7732-7752 | ||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||
ISSN: | 2072-4292 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | TerraSAR-X; ALOS PALSAR; RADARSAT-2; flood; backscatter analysis; time series; partially submerged vegetation | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben Zivile Kriseninformation und Georisiken (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit | ||||||||||||
Hinterlegt von: | Martinis, Sandro | ||||||||||||
Hinterlegt am: | 18 Jun 2015 09:02 | ||||||||||||
Letzte Änderung: | 28 Nov 2023 08:36 |
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