Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition

Source at https://doi.org/10.1017/aog.2017.37 . Knowledge of Arctic sea-ice conditions is of great interest for Arctic residents, as well as for commercial usage, and to study the effects of climate change. Information gained from analysis of satellite data contributes to this understanding. In the...

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Published in:Annals of Glaciology
Main Authors: Rösel, Anja, King, Jennifer, Doulgeris, Anthony P., Wagner, Penelope M., Johansson, Malin, Gerland, Sebastian
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2017
Subjects:
Online Access:https://hdl.handle.net/10037/13396
https://doi.org/10.1017/aog.2017.37
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/13396 2023-05-15T13:29:40+02:00 Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition Rösel, Anja King, Jennifer Doulgeris, Anthony P. Wagner, Penelope M. Johansson, Malin Gerland, Sebastian 2017-12-17 https://hdl.handle.net/10037/13396 https://doi.org/10.1017/aog.2017.37 eng eng Cambridge University Press Annals of Glaciology info:eu-repo/grantAgreement/RCN/NORRUSS/233896/Norway/Detection and Characterization of Anthropogenic Oil Pollution in the Barents Sea by Synthetic Aperture Radar// info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ Rösel, A., King, J., Doulgeris, A.P., Wagner, P.M., Johansson, M. & Gerland, S. (2018). Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition. Annals of Glaciology, 59(76), 163-172. https://doi.org/10.1017/aog.2017.37. FRIDAID 1507744 doi:10.1017/aog.2017.37 0260-3055 1727-5644 https://hdl.handle.net/10037/13396 openAccess VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme akustikk optikk: 434 VDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism acoustics optics: 434 Airborne electromagnetic soundings Electromagnetic induction Remote sensing Sea-ice Sea-ice classification Journal article Tidsskriftartikkel Peer reviewed 2017 ftunivtroemsoe https://doi.org/10.1017/aog.2017.37 2021-06-25T17:55:37Z Source at https://doi.org/10.1017/aog.2017.37 . Knowledge of Arctic sea-ice conditions is of great interest for Arctic residents, as well as for commercial usage, and to study the effects of climate change. Information gained from analysis of satellite data contributes to this understanding. In the course of using in situ data in combination with remotely sensed data, the question of how representative local scale measurements are of a wider region may arise. We compare in situ total sea-ice thickness measurements from the Norwegian young sea ICE expedition in the area north of Svalbard with airborne-derived total sea-ice thickness from electromagnetic soundings. A segmented and classified synthetic aperture radar (SAR) quad-pol ALOS-2 Palsar-2 satellite scene was grouped into three simplified ice classes. The area fractions of the three classes are: 11.2% ‘thin’, 74.4% ‘level’, and 14.4% ‘deformed’. The area fractions of the simplified classes from ground- and helicopter-based measurements are comparable with those achieved from the SAR data. Thus, this study shows that there is potential for a stepwise upscaling from in situ, to airborne, to satellite data, which allow us to assess whether in situ data collected are representative of a wider region as observed by satellites. Article in Journal/Newspaper Annals of Glaciology Arctic Arctic Climate change Sea ice Svalbard University of Tromsø: Munin Open Research Archive Arctic Svalbard Annals of Glaciology 59 76pt2 163 172
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme
akustikk
optikk: 434
VDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism
acoustics
optics: 434
Airborne electromagnetic soundings
Electromagnetic induction
Remote sensing
Sea-ice
Sea-ice classification
spellingShingle VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme
akustikk
optikk: 434
VDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism
acoustics
optics: 434
Airborne electromagnetic soundings
Electromagnetic induction
Remote sensing
Sea-ice
Sea-ice classification
Rösel, Anja
King, Jennifer
Doulgeris, Anthony P.
Wagner, Penelope M.
Johansson, Malin
Gerland, Sebastian
Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition
topic_facet VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme
akustikk
optikk: 434
VDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism
acoustics
optics: 434
Airborne electromagnetic soundings
Electromagnetic induction
Remote sensing
Sea-ice
Sea-ice classification
description Source at https://doi.org/10.1017/aog.2017.37 . Knowledge of Arctic sea-ice conditions is of great interest for Arctic residents, as well as for commercial usage, and to study the effects of climate change. Information gained from analysis of satellite data contributes to this understanding. In the course of using in situ data in combination with remotely sensed data, the question of how representative local scale measurements are of a wider region may arise. We compare in situ total sea-ice thickness measurements from the Norwegian young sea ICE expedition in the area north of Svalbard with airborne-derived total sea-ice thickness from electromagnetic soundings. A segmented and classified synthetic aperture radar (SAR) quad-pol ALOS-2 Palsar-2 satellite scene was grouped into three simplified ice classes. The area fractions of the three classes are: 11.2% ‘thin’, 74.4% ‘level’, and 14.4% ‘deformed’. The area fractions of the simplified classes from ground- and helicopter-based measurements are comparable with those achieved from the SAR data. Thus, this study shows that there is potential for a stepwise upscaling from in situ, to airborne, to satellite data, which allow us to assess whether in situ data collected are representative of a wider region as observed by satellites.
format Article in Journal/Newspaper
author Rösel, Anja
King, Jennifer
Doulgeris, Anthony P.
Wagner, Penelope M.
Johansson, Malin
Gerland, Sebastian
author_facet Rösel, Anja
King, Jennifer
Doulgeris, Anthony P.
Wagner, Penelope M.
Johansson, Malin
Gerland, Sebastian
author_sort Rösel, Anja
title Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition
title_short Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition
title_full Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition
title_fullStr Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition
title_full_unstemmed Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition
title_sort can we extend local sea-ice measurements to satellite scale? an example from the n-ice2015 expedition
publisher Cambridge University Press
publishDate 2017
url https://hdl.handle.net/10037/13396
https://doi.org/10.1017/aog.2017.37
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Annals of Glaciology
Arctic
Arctic
Climate change
Sea ice
Svalbard
genre_facet Annals of Glaciology
Arctic
Arctic
Climate change
Sea ice
Svalbard
op_relation Annals of Glaciology
info:eu-repo/grantAgreement/RCN/NORRUSS/233896/Norway/Detection and Characterization of Anthropogenic Oil Pollution in the Barents Sea by Synthetic Aperture Radar//
info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/
Rösel, A., King, J., Doulgeris, A.P., Wagner, P.M., Johansson, M. & Gerland, S. (2018). Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition. Annals of Glaciology, 59(76), 163-172. https://doi.org/10.1017/aog.2017.37.
FRIDAID 1507744
doi:10.1017/aog.2017.37
0260-3055
1727-5644
https://hdl.handle.net/10037/13396
op_rights openAccess
op_doi https://doi.org/10.1017/aog.2017.37
container_title Annals of Glaciology
container_volume 59
container_issue 76pt2
container_start_page 163
op_container_end_page 172
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