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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Cambridge University Press
2017
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Online Access: | https://hdl.handle.net/10037/13396 https://doi.org/10.1017/aog.2017.37 |
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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 |
_version_ |
1766001913232359424 |