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On the analysis of a time series of X-band TerraSAR-X SAR imagery over oil seepages

Nunziata, Ferdinando und de Macedo, Carina Regina und Buono, Andrea und Velotto, Domenico und Migliaccio, Maurizio (2019) On the analysis of a time series of X-band TerraSAR-X SAR imagery over oil seepages. International Journal of Remote Sensing, 40 (9), Seiten 3623-3646. Taylor & Francis. doi: 10.1080/01431161.2018.1547933. ISSN 0143-1161.

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Offizielle URL: https://doi.org/10.1080/01431161.2018.1547933

Kurzfassung

A large time series of 42 dual-polarimetric co-polarized TerraSAR-X (TSX) StripMap Synthetic Aperture Radar (SAR) measurements are exploited to monitor a well-known oil seep area, i.e., the Taylor Energy site in the Gulf of Mexico. A comprehensive scattering analysis is undertaken to assess the impact of SAR imaging parameters (polarization, angle of incidence - AOI, noise floor) and environmental conditions (wind speed - WS, oil properties) on single-polarization SAR-based sea oil seep observation. The main goal of this study is to evaluate the reliability of the scattering-based information derived from the time series of TSX SAR imagery. A two-scale backscattering model is considered to give a physical framework that supports a better understanding of the effects of the above-mentioned factors. Experimental results showed that the high TSX noise floor significantly limits a reliable interpretation of the slick-free sea surface and oil seep backscattering at AOIs larger than 34 and 26, respectively, since they are contaminated by noise. Hence, it is shown that, at larger AOIs, the joint contribution of noisy SAR measurements and low oil backscattering does not result in a larger oil/sea separability. The latter is not remarkably influenced by polarization and WS, under low-to-moderate conditions. Experiments also demonstrate that, when reliable SAR measurements are available, sea oil seep backscattering is affected by the oil's damping properties more than its concentration in the water column. The time variability of the polluted area is also estimated using the time series of TSX imagery and the obtained results agree with independent analysis undertaken on the same test site.

elib-URL des Eintrags:https://elib.dlr.de/121692/
Dokumentart:Zeitschriftenbeitrag
Zusätzliche Informationen:To cite this article: F. Nunziata, C. R. de Macedo, A. Buono, D. Velotto & M. Migliaccio (2019) On the analysis of a time series of X–band TerraSAR–X SAR imagery over oil seepages, International Journal of Remote Sensing, 40:9, 3623-3646, DOI: 10.1080/01431161.2018.1547933
Titel:On the analysis of a time series of X-band TerraSAR-X SAR imagery over oil seepages
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Nunziata, FerdinandoUniversità di Napoli Parthenope, Dipartimento di Ingegneria, 80143 Napoli, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
de Macedo, Carina ReginaUniversità di Napoli Parthenope, Dipartimento di Ingegneria, 80143 Napoli, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Buono, AndreaUniversità di Napoli Parthenope, Dipartimento di Ingegneria, 80143 Napoli, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Velotto, DomenicoDomenico.Velotto (at) dlr.dehttps://orcid.org/0000-0002-8592-0652NICHT SPEZIFIZIERT
Migliaccio, Mauriziomaurizio.migliaccio (at) uniparthenope.itNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2019
Erschienen in:International Journal of Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:40
DOI:10.1080/01431161.2018.1547933
Seitenbereich:Seiten 3623-3646
Verlag:Taylor & Francis
ISSN:0143-1161
Status:veröffentlicht
Stichwörter:backscattering, oil seepages, TerraSAR-X, time series, SAR
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 - SAR-Methoden
Standort: Bremen , Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung
Hinterlegt von: Kaps, Ruth
Hinterlegt am:29 Nov 2018 11:26
Letzte Änderung:01 Jan 2020 03:00

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