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Combining polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery for mapping of flooded vegetation

Plank, Simon Manuel and Jüssi, Martin and Martinis, Sandro and Twele, Andre (2017) Combining polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery for mapping of flooded vegetation. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017), pp. 5705-5708. IGARSS 2017, 23.-28. Jul. 2017, Fort Worth, Texas. doi: DOI: 10.1109/IGARSS.2017.8128303.

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8128303


This article presents a semi-automated methodology for mapping of flooded areas with a special focus on flooded vegetation based on polarimetric Synthetic Aperture Radar (SAR) data. C-band SAR data is well suited for mapping of open water areas, while L-band enables the extraction of detailed information of flooded vegetation. Here, dual-pol C-band data of Sentinel-1 (S-1) is combined with quad-pol L-band ALOS-2/PALSAR-2 data to enable an accurate mapping of the entire flooded area. The developed proce-dure combines polarimetric decomposition based unsuper-vised Wishart classification with object-based post-classification refinement as well as the integration of spatial contextual information and global auxiliary data. The methodology was tested at the Evros River (Greek/Turkish border region), where a flooding event occurred in spring 2015.

Item URL in elib:https://elib.dlr.de/113498/
Document Type:Conference or Workshop Item (Speech)
Title:Combining polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery for mapping of flooded vegetation
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:28 July 2017
Journal or Publication Title:2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :DOI: 10.1109/IGARSS.2017.8128303
Page Range:pp. 5705-5708
Keywords:Flooded vegetation, SAR polarimetry, PolSAR, ALOS-2/PALSAR-2, Sentinel-1
Event Title:IGARSS 2017
Event Location:Fort Worth, Texas
Event Type:international Conference
Event Dates:23.-28. Jul. 2017
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 - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Plank, Simon Manuel
Deposited On:28 Sep 2017 15:00
Last Modified:15 Mar 2018 13:53

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