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Arctic Sea Ice Characterization for Navigational Assistance using Space-borne Fully Polarimetric SAR

Singha, Suman and Johansson, A. Malin and Hughes, Nicholas and Hvidegaard, Sine M. and Skourup, Henriette (2018) Arctic Sea Ice Characterization for Navigational Assistance using Space-borne Fully Polarimetric SAR. In: Arctic Frontiers Science 2018 – Abstracts. Tromsø, Norway. Artic Frontiers 2018, 21.-26. Jan. 2018, Tromsø, Norway. ISBN 978‐82‐690420‐2‐3.

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Official URL: https://www.arcticfrontiers.com/program/session/?id=S055


Satellite images are an essential parameter for sea ice products such as the daily sea ice concentration maps issued by the Norwegian Ice Service. In this regard, Synthetic Aperture Radar (SAR) is especially valuable given its all-weather capabilities and that it does not require sunlight. Recently launched missions such as Sentinel-1 acquire data in dual-polarimetric mode, something that has been proven to be more useful than conventional single polarization SAR in terms of characterizing different sea ice types. Within this study we further investigate the usefulness of fully polarimetric SAR. Here we employ an automatic sea ice classification algorithm developed for Near Real Time (NRT) services on two sets of spatially and temporally near coincident fully polarimetric acquisitions from the ALOS-2, Radarsat-2 and TerraSAR-X/TanDEM-X satellites acquired during the N-ICE2015 sea ice drift study. Overlapping coincident sea ice freeboard measurements from Airborne Laser Scanner (ALS) data are used to validate the classification results. We analyzed the usefulness for the classification results of 18 different polarimetric parameters. In order to deliver sea ice products in NRT efficient computation is very important and by reducing redundant or overlapping parameters we can speed up the delivery time. Among the most useful features for classification were the geometric intensity, the scattering diversity and the surface scattering fraction. We also found that we can halve the number of parameters from 18 to 9. In our study, the ALS data show that 100 % of the open water is separated from the surrounding sea ice and that the sea ice classes have at least 96.9 % accuracy. This analysis reveals analogous results for both X-band and C-band frequencies and slightly different for L-band. In particular, the overlapping image portions exhibit a reasonable congruence of detected sea ice when compared with high resolution airborne measurements

Item URL in elib:https://elib.dlr.de/116306/
Document Type:Conference or Workshop Item (Speech)
Additional Information:conference: http://www.arcticfrontiers.com/event/ Abstract Book (PDF): https://www.arcticfrontiers.com/wp-content/uploads/downloads/2018/Arctic%20Frontiers%20Science/Abstract%20book%202018.pdf
Title:Arctic Sea Ice Characterization for Navigational Assistance using Space-borne Fully Polarimetric SAR
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Singha, SumanSuman.Singha (at) dlr.dehttps://orcid.org/0000-0002-1880-6868
Johansson, A. MalinUiT The Arctic University of Norway, Department of Physics and Technology, NO-9037, Tromso, NorwayUNSPECIFIED
Hughes, NicholasNorwegian Ice Service, Norwegian Meteorological Institute, NO-9293 Tromso, NorwayUNSPECIFIED
Hvidegaard, Sine M.National Space Institute, Technical University of Denmark, DK - 2800 Kgs. Lyngby DenmarkUNSPECIFIED
Skourup, HenrietteNational Space Institute, Technical University of Denmark, DK - 2800 Kgs. Lyngby DenmarkUNSPECIFIED
Date:25 January 2018
Journal or Publication Title:Arctic Frontiers Science 2018 – Abstracts. Tromsø, Norway
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
EditorsEmailEditor's ORCID iD
Keywords:Arctic Sea Ice Characterization, Navigational Assistance, Space-borne Fully Polarimetric SAR, SAR, Polarimetry, Oceanography
Event Title:Artic Frontiers 2018
Event Location:Tromsø, Norway
Event Type:international Conference
Event Dates:21.-26. Jan. 2018
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 - SAR methods
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:05 Dec 2017 17:12
Last Modified:11 Oct 2018 15:52

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