A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E

We infer the fractional coverage of sea ice leads (as concentration) in the Arctic from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) brightness temperatures. The lead concentration resolves leads of at least 3 km in width. We introduce a new algorithm based on the...

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Main Authors: David Bröhan, Lars Kaleschke
Format: Article
Language:English
Published: MDPI AG 2014-02-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/2/1451
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spelling doaj-a13beedd6b4f4979ab574c458967269a2020-11-24T22:20:59ZengMDPI AGRemote Sensing2072-42922014-02-01621451147510.3390/rs6021451rs6021451A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-EDavid Bröhan0Lars Kaleschke1Institut für Meereskunde, University of Hamburg, Bundesstraße 53, D-20146 Hamburg, GermanyInstitut für Meereskunde, University of Hamburg, Bundesstraße 53, D-20146 Hamburg, GermanyWe infer the fractional coverage of sea ice leads (as concentration) in the Arctic from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) brightness temperatures. The lead concentration resolves leads of at least 3 km in width. We introduce a new algorithm based on the progressive probabilistic Hough transform to automatically infer lead positions and orientations from daily AMSR-E satellite observations. Because the progressive probabilistic Hough transform often detects an identical lead several times the algorithm clusters neighboring leads that belong to one lead position. A first comparison of automatically detected lead positions and orientations with manually detected lead positions and orientations reveals that 57% of the reference leads are correctly determined. Around 11% of automatically detected leads are located where no reference lead occurs. The automatically detected lead orientations are distributed slightly differently from the reference lead orientations. A second comparison of automatically detected leads in the Fram Strait to leads in a wide swath mode Advanced Synthetic Aperture Radar scene shows a good agreement. We provide an Arctic-wide time series of lead orientations for winters from 2002 to 2011. For example, while a lead orientation of 110° with respect to the Greenwich meridian prevails in the Fram Strait, lead orientations in the Beaufort Sea are more isotropically distributed. We find significant preferred lead orientations almost everywhere in the Arctic Ocean when averaged over the entire AMSR-E time series.http://www.mdpi.com/2072-4292/6/2/1451sea iceremote-sensingleadslead orientationimage analysis
collection DOAJ
language English
format Article
sources DOAJ
author David Bröhan
Lars Kaleschke
spellingShingle David Bröhan
Lars Kaleschke
A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E
Remote Sensing
sea ice
remote-sensing
leads
lead orientation
image analysis
author_facet David Bröhan
Lars Kaleschke
author_sort David Bröhan
title A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E
title_short A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E
title_full A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E
title_fullStr A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E
title_full_unstemmed A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E
title_sort nine-year climatology of arctic sea ice lead orientation and frequency from amsr-e
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2014-02-01
description We infer the fractional coverage of sea ice leads (as concentration) in the Arctic from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) brightness temperatures. The lead concentration resolves leads of at least 3 km in width. We introduce a new algorithm based on the progressive probabilistic Hough transform to automatically infer lead positions and orientations from daily AMSR-E satellite observations. Because the progressive probabilistic Hough transform often detects an identical lead several times the algorithm clusters neighboring leads that belong to one lead position. A first comparison of automatically detected lead positions and orientations with manually detected lead positions and orientations reveals that 57% of the reference leads are correctly determined. Around 11% of automatically detected leads are located where no reference lead occurs. The automatically detected lead orientations are distributed slightly differently from the reference lead orientations. A second comparison of automatically detected leads in the Fram Strait to leads in a wide swath mode Advanced Synthetic Aperture Radar scene shows a good agreement. We provide an Arctic-wide time series of lead orientations for winters from 2002 to 2011. For example, while a lead orientation of 110° with respect to the Greenwich meridian prevails in the Fram Strait, lead orientations in the Beaufort Sea are more isotropically distributed. We find significant preferred lead orientations almost everywhere in the Arctic Ocean when averaged over the entire AMSR-E time series.
topic sea ice
remote-sensing
leads
lead orientation
image analysis
url http://www.mdpi.com/2072-4292/6/2/1451
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