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Mapping of flooded vegetation by means of polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery

Plank, Simon Manuel and Jüssi, Martin and Martinis, Sandro and Twele, Andre (2017) Mapping of flooded vegetation by means of polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery. International Journal of Remote Sensing, 38 (13), pp. 3831-3850. Taylor & Francis. doi: 10.1080/01431161.2017.1306143. ISSN 0143-1161.

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Official URL: http://dx.doi.org/10.1080/01431161.2017.1306143


This article presents for the first time the combination of dual-polarimetric C-band Sentinel-1 synthetic aperture radar (SAR) data and quad-polarimetric L-band ALOS-2/PALSAR-2 imagery for mapping of flooded areas with a special focus on flooded vegetation. L-band SAR data is well suited for mapping of flooded vegetation, while C-band enables an accurate extraction open water areas. Polarimetric decomposition-based unsupervised Wishart classification is combined with object-based post-classification refinement and the integration of spatial contextual information and global auxiliary data. In eight different scenarios, focusing on single datasets or fusion of classification results of several ones, respectively, different polarimetric decomposition and classification principles, including the entropy/anisotropy/alpha and the Freeman–Durden–Wishart classification, were investigated. The helix scattering component of the Yamaguchi decomposition, derived from ALOS-2 imagery, showed high suitability to refine the Sentinel-1-based detection of flooded vegetation. A test site at the Evros River (Greek/Turkish border region) was chosen, which was affected by a flooding event that occurred in spring 2015. The validation was based on high spatial resolution optical WorldView-2 imagery acquired with short temporal delay to the SAR data.

Item URL in elib:https://elib.dlr.de/111866/
Document Type:Article
Title:Mapping of flooded vegetation by means of polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Plank, Simon ManuelSimon.Plank (at) dlr.dehttps://orcid.org/0000-0002-5793-052X
Jüssi, Martinmartin.jüssi (at) dlr.deUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361X
Twele, AndreAndre.Twele (at) dlr.dehttps://orcid.org/0000-0002-8035-2625
Date:30 March 2017
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1080/01431161.2017.1306143
Page Range:pp. 3831-3850
Publisher:Taylor & Francis
Keywords:Polarimetric SAR, Flood mapping, Flooded vegetation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
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: Plank, Simon Manuel
Deposited On:27 Jul 2017 14:58
Last Modified:10 Jan 2019 15:48

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