Virtual radar ice buoys – a method for measuring fine-scale sea ice drift
Here we present an algorithm for continuous ice drift estimation based on coastal and ship radar data. The ice drift is estimated for automatically selected ice targets in the images. These targets are here called virtual buoys (VBs) and are tracked based on an optical flow method. To maintain conti...
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2016
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ftdoajarticles:oai:doaj.org/article:f35b051fc9cb440b876c70f481f0e33d 2023-05-15T18:17:50+02:00 Virtual radar ice buoys – a method for measuring fine-scale sea ice drift J. Karvonen 2016-01-01T00:00:00Z https://doi.org/10.5194/tc-10-29-2016 https://doaj.org/article/f35b051fc9cb440b876c70f481f0e33d EN eng Copernicus Publications http://www.the-cryosphere.net/10/29/2016/tc-10-29-2016.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-10-29-2016 https://doaj.org/article/f35b051fc9cb440b876c70f481f0e33d The Cryosphere, Vol 10, Iss 1, Pp 29-42 (2016) Environmental sciences GE1-350 Geology QE1-996.5 article 2016 ftdoajarticles https://doi.org/10.5194/tc-10-29-2016 2022-12-30T23:09:22Z Here we present an algorithm for continuous ice drift estimation based on coastal and ship radar data. The ice drift is estimated for automatically selected ice targets in the images. These targets are here called virtual buoys (VBs) and are tracked based on an optical flow method. To maintain continuous ice drift tracking new VBs are added after a given number of VBs have been lost; i.e. they can not be tracked reliably any more. Here we also apply the algorithm to data of three test cases to demonstrate its capabilities and properties. Two of these cases use coastal radar data and one ship radar data. Ice drift velocity and direction information derived from the VB motion are computed and compared to the prevailing ice and weather conditions. Also a quantity measuring the local divergence or convergence is computed for some VBs to demonstrate the capability to estimate derived kinematic sea ice parameters from VB location time series. The results produced by the algorithm can be used as an input for estimation of the dynamic properties of sea the ice field, such as ice divergence or convergence, shear, vorticity, and total deformation. Article in Journal/Newspaper Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 10 1 29 42 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 J. Karvonen Virtual radar ice buoys – a method for measuring fine-scale sea ice drift |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Here we present an algorithm for continuous ice drift estimation based on coastal and ship radar data. The ice drift is estimated for automatically selected ice targets in the images. These targets are here called virtual buoys (VBs) and are tracked based on an optical flow method. To maintain continuous ice drift tracking new VBs are added after a given number of VBs have been lost; i.e. they can not be tracked reliably any more. Here we also apply the algorithm to data of three test cases to demonstrate its capabilities and properties. Two of these cases use coastal radar data and one ship radar data. Ice drift velocity and direction information derived from the VB motion are computed and compared to the prevailing ice and weather conditions. Also a quantity measuring the local divergence or convergence is computed for some VBs to demonstrate the capability to estimate derived kinematic sea ice parameters from VB location time series. The results produced by the algorithm can be used as an input for estimation of the dynamic properties of sea the ice field, such as ice divergence or convergence, shear, vorticity, and total deformation. |
format |
Article in Journal/Newspaper |
author |
J. Karvonen |
author_facet |
J. Karvonen |
author_sort |
J. Karvonen |
title |
Virtual radar ice buoys – a method for measuring fine-scale sea ice drift |
title_short |
Virtual radar ice buoys – a method for measuring fine-scale sea ice drift |
title_full |
Virtual radar ice buoys – a method for measuring fine-scale sea ice drift |
title_fullStr |
Virtual radar ice buoys – a method for measuring fine-scale sea ice drift |
title_full_unstemmed |
Virtual radar ice buoys – a method for measuring fine-scale sea ice drift |
title_sort |
virtual radar ice buoys – a method for measuring fine-scale sea ice drift |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/tc-10-29-2016 https://doaj.org/article/f35b051fc9cb440b876c70f481f0e33d |
genre |
Sea ice The Cryosphere |
genre_facet |
Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 10, Iss 1, Pp 29-42 (2016) |
op_relation |
http://www.the-cryosphere.net/10/29/2016/tc-10-29-2016.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-10-29-2016 https://doaj.org/article/f35b051fc9cb440b876c70f481f0e33d |
op_doi |
https://doi.org/10.5194/tc-10-29-2016 |
container_title |
The Cryosphere |
container_volume |
10 |
container_issue |
1 |
container_start_page |
29 |
op_container_end_page |
42 |
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1766193185384562688 |