Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data

The Arctic sea ice is characterized by profound changes caused by surface melting processes and the formation of melt ponds in summer. Melt ponds contribute to the ice-albedo feedback as they reduce the surface albedo of sea ice, and hence accelerate the decay of Arctic sea ice. To quantify the melt...

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Bibliographic Details
Main Author: Rösel, Anja
Language:English
Published: Springer 2013
Subjects:
Law
Online Access:http://hdl.handle.net/2078/ebook:40193
https://doi.org/10.1007/978-3-642-37033-5
id ftunistlouisbrus:oai:dial.uclouvain.be:ebook:40193
record_format openpolar
spelling ftunistlouisbrus:oai:dial.uclouvain.be:ebook:40193 2023-05-15T13:10:29+02:00 Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data Rösel, Anja 2013 http://hdl.handle.net/2078/ebook:40193 https://doi.org/10.1007/978-3-642-37033-5 eng eng Springer ebook:40193 http://hdl.handle.net/2078/ebook:40193 doi:10.1007/978-3-642-37033-5 urn:ISBN:9783642370335 Climatic changes Remote sensing OCEANOGRAPHY Law KZA1002 KZD1002 2013 ftunistlouisbrus https://doi.org/10.1007/978-3-642-37033-5 2017-11-01T23:24:46Z The Arctic sea ice is characterized by profound changes caused by surface melting processes and the formation of melt ponds in summer. Melt ponds contribute to the ice-albedo feedback as they reduce the surface albedo of sea ice, and hence accelerate the decay of Arctic sea ice. To quantify the melting of the entire Arctic sea ice, satellite based observations are necessary. Due to different spectral properties of snow, ice, and water, theoretically, multi-spectral optical sensors are necessary for the analysis of these distinct surface types. This study demonstrates the potential of optical sensors to detect melt ponds on Arctic sea ice. For the first time, an Arctic-wide, multi-annual melt pond data set for the years 2000-2011 has been created and analyzed. Other/Unknown Material albedo Arctic Sea ice DIAL@USL-B (Université Saint-Louis, Bruxelles) Arctic
institution Open Polar
collection DIAL@USL-B (Université Saint-Louis, Bruxelles)
op_collection_id ftunistlouisbrus
language English
topic Climatic changes
Remote sensing
OCEANOGRAPHY
Law
KZA1002
KZD1002
spellingShingle Climatic changes
Remote sensing
OCEANOGRAPHY
Law
KZA1002
KZD1002
Rösel, Anja
Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data
topic_facet Climatic changes
Remote sensing
OCEANOGRAPHY
Law
KZA1002
KZD1002
description The Arctic sea ice is characterized by profound changes caused by surface melting processes and the formation of melt ponds in summer. Melt ponds contribute to the ice-albedo feedback as they reduce the surface albedo of sea ice, and hence accelerate the decay of Arctic sea ice. To quantify the melting of the entire Arctic sea ice, satellite based observations are necessary. Due to different spectral properties of snow, ice, and water, theoretically, multi-spectral optical sensors are necessary for the analysis of these distinct surface types. This study demonstrates the potential of optical sensors to detect melt ponds on Arctic sea ice. For the first time, an Arctic-wide, multi-annual melt pond data set for the years 2000-2011 has been created and analyzed.
author Rösel, Anja
author_facet Rösel, Anja
author_sort Rösel, Anja
title Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data
title_short Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data
title_full Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data
title_fullStr Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data
title_full_unstemmed Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data
title_sort detection of melt ponds on arctic sea ice with optical satellite data
publisher Springer
publishDate 2013
url http://hdl.handle.net/2078/ebook:40193
https://doi.org/10.1007/978-3-642-37033-5
geographic Arctic
geographic_facet Arctic
genre albedo
Arctic
Sea ice
genre_facet albedo
Arctic
Sea ice
op_relation ebook:40193
http://hdl.handle.net/2078/ebook:40193
doi:10.1007/978-3-642-37033-5
urn:ISBN:9783642370335
op_doi https://doi.org/10.1007/978-3-642-37033-5
_version_ 1766231138087469056