N-ICE2015 ship radar images
The dataset contains ship radar images with 1 min interval. Images cover the area of 15 * 15 km with nominal resolution of 12.5 m. The bow of the ship is always pointing to left. The images have been recorded with an independent radar server, developed by Image Soft Ltd. On the server, images have b...
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2017
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Online Access: | https://dx.doi.org/10.21334/npolar.2017.6441ca81 https://data.npolar.no/dataset/6441ca81-faff-423c-bdfd-1d9317a3d902 |
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ftdatacite:10.21334/npolar.2017.6441ca81 2023-05-15T18:18:07+02:00 N-ICE2015 ship radar images Haapala, Jari Oikkonen, Annu Gierisch, Andrea Itkin, Polona Nicolaus, Marcel Spreen, Gunnar Wang, Caixin Karvonen, Juha Lensu, Mikko 2017 https://dx.doi.org/10.21334/npolar.2017.6441ca81 https://data.npolar.no/dataset/6441ca81-faff-423c-bdfd-1d9317a3d902 unknown npolar.no https://data.npolar.no/dataset/6441ca81-faff-423c-bdfd-1d9317a3d902 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0 CC-BY dataset Dataset 2017 ftdatacite https://doi.org/10.21334/npolar.2017.6441ca81 2021-11-05T12:55:41Z The dataset contains ship radar images with 1 min interval. Images cover the area of 15 * 15 km with nominal resolution of 12.5 m. The bow of the ship is always pointing to left. The images have been recorded with an independent radar server, developed by Image Soft Ltd. On the server, images have been pre-processed by temporal median filtering of 15-20 s. The image capturing is described in detail in Karvonen, 2016. Karvonen, J. (2016): [Virtual radar ice buoys – a method for measuring fine-scale sea ice drift](https://doi.org/10.5194/tc-10-29-2016), The Cryosphere, 10, 29–42. ![Example radar image](https://api.npolar.no/dataset/6441ca81-faff-423c-bdfd-1d9317a3d902/_file/201506201504.png) Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) Karvonen ENVELOPE(29.228,29.228,65.677,65.677) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
The dataset contains ship radar images with 1 min interval. Images cover the area of 15 * 15 km with nominal resolution of 12.5 m. The bow of the ship is always pointing to left. The images have been recorded with an independent radar server, developed by Image Soft Ltd. On the server, images have been pre-processed by temporal median filtering of 15-20 s. The image capturing is described in detail in Karvonen, 2016. Karvonen, J. (2016): [Virtual radar ice buoys – a method for measuring fine-scale sea ice drift](https://doi.org/10.5194/tc-10-29-2016), The Cryosphere, 10, 29–42. ![Example radar image](https://api.npolar.no/dataset/6441ca81-faff-423c-bdfd-1d9317a3d902/_file/201506201504.png) |
format |
Dataset |
author |
Haapala, Jari Oikkonen, Annu Gierisch, Andrea Itkin, Polona Nicolaus, Marcel Spreen, Gunnar Wang, Caixin Karvonen, Juha Lensu, Mikko |
spellingShingle |
Haapala, Jari Oikkonen, Annu Gierisch, Andrea Itkin, Polona Nicolaus, Marcel Spreen, Gunnar Wang, Caixin Karvonen, Juha Lensu, Mikko N-ICE2015 ship radar images |
author_facet |
Haapala, Jari Oikkonen, Annu Gierisch, Andrea Itkin, Polona Nicolaus, Marcel Spreen, Gunnar Wang, Caixin Karvonen, Juha Lensu, Mikko |
author_sort |
Haapala, Jari |
title |
N-ICE2015 ship radar images |
title_short |
N-ICE2015 ship radar images |
title_full |
N-ICE2015 ship radar images |
title_fullStr |
N-ICE2015 ship radar images |
title_full_unstemmed |
N-ICE2015 ship radar images |
title_sort |
n-ice2015 ship radar images |
publisher |
npolar.no |
publishDate |
2017 |
url |
https://dx.doi.org/10.21334/npolar.2017.6441ca81 https://data.npolar.no/dataset/6441ca81-faff-423c-bdfd-1d9317a3d902 |
long_lat |
ENVELOPE(29.228,29.228,65.677,65.677) |
geographic |
Karvonen |
geographic_facet |
Karvonen |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://data.npolar.no/dataset/6441ca81-faff-423c-bdfd-1d9317a3d902 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.21334/npolar.2017.6441ca81 |
_version_ |
1766194537281093632 |