Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2
Recent sea ice dynamics research and ice forecasts focus on the importance of sea ice topography and thickness. Sea ice topography is a critical component in sea ice drag forces, understanding sea ice motion and extent, heat transfer at the ocean-atmosphere interface, and safe ice-related decisions...
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ftuvicpubl:oai:dspace.library.uvic.ca:1828/14636 2023-05-15T14:29:01+02:00 Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2 Rezania, Parnian Scharien, Randall 2023-01-06 application/pdf http://hdl.handle.net/1828/14636 English en eng http://hdl.handle.net/1828/14636 Available to the World Wide Web Remote sensing SAR Sea ice ICESAT-2 RCM Object Base Image Analysis Thesis 2023 ftuvicpubl 2023-01-11T00:44:50Z Recent sea ice dynamics research and ice forecasts focus on the importance of sea ice topography and thickness. Sea ice topography is a critical component in sea ice drag forces, understanding sea ice motion and extent, heat transfer at the ocean-atmosphere interface, and safe ice-related decisions in marine navigation. The overarching objective of this study is to assess the inter-relationships of optical laser altimeter Ice, Cloud, and Land Elevation Satellite-2 (IS-2, 2019-Present) and the C-band frequency RADARSAT Constellation Mission (RCM, 2019-Present) synthetic aperture radar (SAR) to provide near-continual measurements of sea ice topography at the regional scale. For this study, a survey of first-year ice (FYI) and multi-year ice (MYI) in the McClintock Channel portion of the Canadian Arctic Archipelago (CAA) is completed during the winter and spring/summer seasons. RCM ScanSAR mode scenes are regionally co-located with the heights and calculated surface roughness for sea ice from Advanced Topographic Laser Altimeter System (ATLS 07) on IS-2. The IS-2 measured sea ice parameter data provide a vital cross-comparison of RCM measured backscatter variables. An object-based image analysis is used to link the IS-2 measured variables and RCM backscatter quantitatively. For data optimization, 12 bands from RCM are analyzed, including calibrated backscatter channels (HH and HV), their combinations (ratio, addition, subtraction, and multiplication), and a set of grey-level co-occurrence matrix (GLCM) based texture parameters derived from each backscatter channel, following the derivations provided in Scharien and Nasonova (2020). IS-2 ATL07 data are studied to measure sea ice surface elevation and roughness. Overall, strong positive linear relationships between backscatter and IS-2-derived surface roughness and elevation are found during the late winter (April and May) period, which supports the use of dual-polarization (HH and HV) RCM scenes and the combination of these channels (HH+HV) as complements to ... Thesis Arctic Archipelago Arctic Canadian Arctic Archipelago Sea ice University of Victoria (Canada): UVicDSpace Arctic Canadian Arctic Archipelago McClintock ENVELOPE(157.433,157.433,-80.217,-80.217) |
institution |
Open Polar |
collection |
University of Victoria (Canada): UVicDSpace |
op_collection_id |
ftuvicpubl |
language |
English |
topic |
Remote sensing SAR Sea ice ICESAT-2 RCM Object Base Image Analysis |
spellingShingle |
Remote sensing SAR Sea ice ICESAT-2 RCM Object Base Image Analysis Rezania, Parnian Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2 |
topic_facet |
Remote sensing SAR Sea ice ICESAT-2 RCM Object Base Image Analysis |
description |
Recent sea ice dynamics research and ice forecasts focus on the importance of sea ice topography and thickness. Sea ice topography is a critical component in sea ice drag forces, understanding sea ice motion and extent, heat transfer at the ocean-atmosphere interface, and safe ice-related decisions in marine navigation. The overarching objective of this study is to assess the inter-relationships of optical laser altimeter Ice, Cloud, and Land Elevation Satellite-2 (IS-2, 2019-Present) and the C-band frequency RADARSAT Constellation Mission (RCM, 2019-Present) synthetic aperture radar (SAR) to provide near-continual measurements of sea ice topography at the regional scale. For this study, a survey of first-year ice (FYI) and multi-year ice (MYI) in the McClintock Channel portion of the Canadian Arctic Archipelago (CAA) is completed during the winter and spring/summer seasons. RCM ScanSAR mode scenes are regionally co-located with the heights and calculated surface roughness for sea ice from Advanced Topographic Laser Altimeter System (ATLS 07) on IS-2. The IS-2 measured sea ice parameter data provide a vital cross-comparison of RCM measured backscatter variables. An object-based image analysis is used to link the IS-2 measured variables and RCM backscatter quantitatively. For data optimization, 12 bands from RCM are analyzed, including calibrated backscatter channels (HH and HV), their combinations (ratio, addition, subtraction, and multiplication), and a set of grey-level co-occurrence matrix (GLCM) based texture parameters derived from each backscatter channel, following the derivations provided in Scharien and Nasonova (2020). IS-2 ATL07 data are studied to measure sea ice surface elevation and roughness. Overall, strong positive linear relationships between backscatter and IS-2-derived surface roughness and elevation are found during the late winter (April and May) period, which supports the use of dual-polarization (HH and HV) RCM scenes and the combination of these channels (HH+HV) as complements to ... |
author2 |
Scharien, Randall |
format |
Thesis |
author |
Rezania, Parnian |
author_facet |
Rezania, Parnian |
author_sort |
Rezania, Parnian |
title |
Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2 |
title_short |
Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2 |
title_full |
Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2 |
title_fullStr |
Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2 |
title_full_unstemmed |
Assessing RADARSAT Constellation Mission sea ice surface topography retrievals using data from ICESat-2 |
title_sort |
assessing radarsat constellation mission sea ice surface topography retrievals using data from icesat-2 |
publishDate |
2023 |
url |
http://hdl.handle.net/1828/14636 |
long_lat |
ENVELOPE(157.433,157.433,-80.217,-80.217) |
geographic |
Arctic Canadian Arctic Archipelago McClintock |
geographic_facet |
Arctic Canadian Arctic Archipelago McClintock |
genre |
Arctic Archipelago Arctic Canadian Arctic Archipelago Sea ice |
genre_facet |
Arctic Archipelago Arctic Canadian Arctic Archipelago Sea ice |
op_relation |
http://hdl.handle.net/1828/14636 |
op_rights |
Available to the World Wide Web |
_version_ |
1766303127622909952 |