Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery

<p>Here a method for estimating the land-fast ice (LFI) extent from dual-polarized Sentinel-1 SAR mosaics of an Arctic study area over the Kara and Barents seas is presented. The method is based on temporal cross-correlation between adjacent daily SAR mosaics. The results are compared to t...

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Main Author: J. Karvonen
Format: Article
Language:English
Published: Copernicus Publications 2018-08-01
Series:The Cryosphere
Online Access:https://www.the-cryosphere.net/12/2595/2018/tc-12-2595-2018.pdf
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spelling doaj-b3d92d915265445c9c956e158baeff4e2020-11-24T22:22:57ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242018-08-01122595260710.5194/tc-12-2595-2018Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imageryJ. Karvonen0Finnish Meteorological Institute, PB 503, 00101, Helsinki, Finland<p>Here a method for estimating the land-fast ice (LFI) extent from dual-polarized Sentinel-1 SAR mosaics of an Arctic study area over the Kara and Barents seas is presented. The method is based on temporal cross-correlation between adjacent daily SAR mosaics. The results are compared to the LFI of the Russian Arctic and Antarctic Research Institute (AARI) ice charts. Two versions of the method were studied: in the first version (FMI-A) the overall performance was optimized, and in the second version (FMI-B) the target was a low LFI misdetection rate. FMI-A detected over 73&thinsp;% of the AARI ice chart LFI, and FMI-B a little over 50&thinsp;% of the AARI ice chart LFI. During the winter months the detection rates were higher than during the melt-down season for both the studied algorithm versions. An LFI time series covering the time period from October 2015 to the end of August 2017 computed using the proposed methodology is provided on the FMI ftp server. The time series will be extended twice annually.</p>https://www.the-cryosphere.net/12/2595/2018/tc-12-2595-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. Karvonen
spellingShingle J. Karvonen
Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery
The Cryosphere
author_facet J. Karvonen
author_sort J. Karvonen
title Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery
title_short Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery
title_full Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery
title_fullStr Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery
title_full_unstemmed Estimation of Arctic land-fast ice cover based on dual-polarized Sentinel-1 SAR imagery
title_sort estimation of arctic land-fast ice cover based on dual-polarized sentinel-1 sar imagery
publisher Copernicus Publications
series The Cryosphere
issn 1994-0416
1994-0424
publishDate 2018-08-01
description <p>Here a method for estimating the land-fast ice (LFI) extent from dual-polarized Sentinel-1 SAR mosaics of an Arctic study area over the Kara and Barents seas is presented. The method is based on temporal cross-correlation between adjacent daily SAR mosaics. The results are compared to the LFI of the Russian Arctic and Antarctic Research Institute (AARI) ice charts. Two versions of the method were studied: in the first version (FMI-A) the overall performance was optimized, and in the second version (FMI-B) the target was a low LFI misdetection rate. FMI-A detected over 73&thinsp;% of the AARI ice chart LFI, and FMI-B a little over 50&thinsp;% of the AARI ice chart LFI. During the winter months the detection rates were higher than during the melt-down season for both the studied algorithm versions. An LFI time series covering the time period from October 2015 to the end of August 2017 computed using the proposed methodology is provided on the FMI ftp server. The time series will be extended twice annually.</p>
url https://www.the-cryosphere.net/12/2595/2018/tc-12-2595-2018.pdf
work_keys_str_mv AT jkarvonen estimationofarcticlandfasticecoverbasedondualpolarizedsentinel1sarimagery
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