Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
doi:10.5194/tc-2016-261
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
05 Dec 2016
Review status
This discussion paper is under review for the journal The Cryosphere (TC).
Open-source sea ice drift algorithm for Sentinel-1 SAR imagery using a combination of feature-tracking and pattern-matching
Stefan Muckenhuber and Stein Sandven Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, 5006 Bergen, Norway
Abstract. An open-source sea ice drift algorithm for Sentinel-1 SAR imagery is introduced based on the combination of feature-tracking and pattern-matching. A computational efficient feature-tracking algorithm produces an initial drift estimate and limits the search area for the pattern-matching, that provides small to medium scale drift adjustments and normalised cross correlation values as quality measure. The algorithm is designed to utilise the respective advantages of the two approaches and allows drift calculation at user defined locations. The pre-processing of the Sentinel-1 data has been optimised to retrieve a feature distribution that depends less on SAR backscatter peak values. A recommended parameter set for the algorithm has been found using a representative image pair over Fram Strait and 350 manually derived drift vectors as validation. Applying the algorithm with this parameter setting, sea ice drift retrieval with a vector spacing of 8 km on Sentinel-1 images covering 400 km x 400 km, takes less than 3.5 minutes on a standard 2.7 GHz processor with 8 GB memory. For validation, buoy GPS data, collected in 2015 between 15th January and 22nd April and covering an area from 81° N to 83.5° N and 12° E to 27° E, have been compared to calculated drift results from 261 corresponding Sentinel-1 image pairs. We found a logarithmic distribution of the error with a peak at 300 m. All software requirements necessary for applying the presented sea ice drift algorithm are open-source to ensure free implementation and easy distribution.

Citation: Muckenhuber, S. and Sandven, S.: Open-source sea ice drift algorithm for Sentinel-1 SAR imagery using a combination of feature-tracking and pattern-matching, The Cryosphere Discuss., doi:10.5194/tc-2016-261, in review, 2016.
Stefan Muckenhuber and Stein Sandven
Stefan Muckenhuber and Stein Sandven
Stefan Muckenhuber and Stein Sandven

Viewed

Total article views: 337 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
231 70 36 337 12 36

Views and downloads (calculated since 05 Dec 2016)

Cumulative views and downloads (calculated since 05 Dec 2016)

Viewed (geographical distribution)

Total article views: 337 (including HTML, PDF, and XML)

Thereof 336 with geography defined and 1 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 29 Apr 2017
Publications Copernicus
Download
Short summary
An open-source sea ice drift algorithm for Sentinel-1 SAR imagery is introduced based on the combination of feature-tracking and pattern-matching. The algorithm is designed to utilise the respective advantages of the two approaches and allows drift calculation at user defined locations.
An open-source sea ice drift algorithm for Sentinel-1 SAR imagery is introduced based on the...
Share