An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery

Leads are major sites of energy fluxes and brine releases at the air-ocean interface of sea-ice covered oceans. This study presents an algorithm to detect leads wider than 3 km in the entire Arctic Ocean. The algorithm detects 50 % of the lead area that was visible in optical MODIS satellite images....

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: J. Röhrs, L. Kaleschke
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2012
Subjects:
Online Access:https://doi.org/10.5194/tc-6-343-2012
https://doaj.org/article/4548344f9feb434f8a160892477057e1
id ftdoajarticles:oai:doaj.org/article:4548344f9feb434f8a160892477057e1
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:4548344f9feb434f8a160892477057e1 2023-05-15T14:56:10+02:00 An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery J. Röhrs L. Kaleschke 2012-03-01T00:00:00Z https://doi.org/10.5194/tc-6-343-2012 https://doaj.org/article/4548344f9feb434f8a160892477057e1 EN eng Copernicus Publications http://www.the-cryosphere.net/6/343/2012/tc-6-343-2012.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-6-343-2012 1994-0416 1994-0424 https://doaj.org/article/4548344f9feb434f8a160892477057e1 The Cryosphere, Vol 6, Iss 2, Pp 343-352 (2012) Environmental sciences GE1-350 Geology QE1-996.5 article 2012 ftdoajarticles https://doi.org/10.5194/tc-6-343-2012 2022-12-30T21:28:12Z Leads are major sites of energy fluxes and brine releases at the air-ocean interface of sea-ice covered oceans. This study presents an algorithm to detect leads wider than 3 km in the entire Arctic Ocean. The algorithm detects 50 % of the lead area that was visible in optical MODIS satellite images. Passive microwave imagery from the Advanced Microwave Scanning Radiometer – Earth Observation System (AMSR-E) is used, allowing daily observations due to the fact that AMSR-E does not depend on daylight or cloud conditions. Using the unique signatures of thin ice in the brightness temperature ratio between the 89 GHz and 19 GHz channels, the algorithm is able to detect thin ice areas in the ice cover and is optimized to detect leads. Leads are mapped for the period from 2002 to 2011 excluding the summer months, and validated qualitatively by using MODIS, Envisat ASAR, and CryoSat-2 data. Several frequently recurring large scale lead patterns are found, especially in regions where sea ice is known to drift out of the Arctic Ocean. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Asar ENVELOPE(134.033,134.033,68.667,68.667) The Cryosphere 6 2 343 352
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. Röhrs
L. Kaleschke
An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description Leads are major sites of energy fluxes and brine releases at the air-ocean interface of sea-ice covered oceans. This study presents an algorithm to detect leads wider than 3 km in the entire Arctic Ocean. The algorithm detects 50 % of the lead area that was visible in optical MODIS satellite images. Passive microwave imagery from the Advanced Microwave Scanning Radiometer – Earth Observation System (AMSR-E) is used, allowing daily observations due to the fact that AMSR-E does not depend on daylight or cloud conditions. Using the unique signatures of thin ice in the brightness temperature ratio between the 89 GHz and 19 GHz channels, the algorithm is able to detect thin ice areas in the ice cover and is optimized to detect leads. Leads are mapped for the period from 2002 to 2011 excluding the summer months, and validated qualitatively by using MODIS, Envisat ASAR, and CryoSat-2 data. Several frequently recurring large scale lead patterns are found, especially in regions where sea ice is known to drift out of the Arctic Ocean.
format Article in Journal/Newspaper
author J. Röhrs
L. Kaleschke
author_facet J. Röhrs
L. Kaleschke
author_sort J. Röhrs
title An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_short An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_full An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_fullStr An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_full_unstemmed An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
title_sort algorithm to detect sea ice leads by using amsr-e passive microwave imagery
publisher Copernicus Publications
publishDate 2012
url https://doi.org/10.5194/tc-6-343-2012
https://doaj.org/article/4548344f9feb434f8a160892477057e1
long_lat ENVELOPE(134.033,134.033,68.667,68.667)
geographic Arctic
Arctic Ocean
Asar
geographic_facet Arctic
Arctic Ocean
Asar
genre Arctic
Arctic Ocean
Sea ice
The Cryosphere
genre_facet Arctic
Arctic Ocean
Sea ice
The Cryosphere
op_source The Cryosphere, Vol 6, Iss 2, Pp 343-352 (2012)
op_relation http://www.the-cryosphere.net/6/343/2012/tc-6-343-2012.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-6-343-2012
1994-0416
1994-0424
https://doaj.org/article/4548344f9feb434f8a160892477057e1
op_doi https://doi.org/10.5194/tc-6-343-2012
container_title The Cryosphere
container_volume 6
container_issue 2
container_start_page 343
op_container_end_page 352
_version_ 1766328196351918080