Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR
Surface roughness of sea ice is primary information for understanding sea ice dynamics and air–ice–ocean interactions. Synthetic aperture radar (SAR) is a powerful tool for investigating sea ice surface roughness owing to the high sensitivity of its signal to surface structures. In this study, we ex...
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ftdoajarticles:oai:doaj.org/article:f7fad788a86f424081582af1b54820aa 2023-10-09T21:49:03+02:00 Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR Hyangsun Han Jae-In Kim Chang-Uk Hyun Seung Hee Kim Jeong-Won Park Young-Joo Kwon Sungjae Lee Sanggyun Lee Hyun-Cheol Kim 2020-07-01T00:00:00Z https://doi.org/10.1080/15481603.2020.1767857 https://doaj.org/article/f7fad788a86f424081582af1b54820aa EN eng Taylor & Francis Group http://dx.doi.org/10.1080/15481603.2020.1767857 https://doaj.org/toc/1548-1603 https://doaj.org/toc/1943-7226 1548-1603 1943-7226 doi:10.1080/15481603.2020.1767857 https://doaj.org/article/f7fad788a86f424081582af1b54820aa GIScience & Remote Sensing, Vol 57, Iss 5, Pp 650-669 (2020) sea ice surface roughness root mean square (rms) height snow-covered first-year sea ice synthetic aperture radar (sar) x-band dual polarimetry Mathematical geography. Cartography GA1-1776 Environmental sciences GE1-350 article 2020 ftdoajarticles https://doi.org/10.1080/15481603.2020.1767857 2023-09-24T00:36:59Z Surface roughness of sea ice is primary information for understanding sea ice dynamics and air–ice–ocean interactions. Synthetic aperture radar (SAR) is a powerful tool for investigating sea ice surface roughness owing to the high sensitivity of its signal to surface structures. In this study, we explored the surface roughness signatures of the summer Arctic snow-covered first-year sea ice in X-band dual-polarimetric SAR in terms of the root mean square (RMS) height. Two ice campaigns were conducted for the first-year sea ice with dry snow cover in the marginal ice zone of the Chukchi Sea in August 2017 and August 2018, from which high-resolution (4 cm) digital surface models (DSMs) of the sea ice were derived with the help of a terrestrial laser scanner to obtain the in situ RMS height. X-band dual-polarimetric (HH and VV) SAR data (3 m spatial resolution) were obtained for the 2017 campaign, at a high incidence angle (49.5°) of TerraSAR-X, and for the 2018 campaign, at a mid-incidence angle (36.1°) of TanDEM-X 1–2 days after the acquisition of the DSMs. The sea ice drifted during the time between the SAR and DSM acquisitions. As it is difficult to directly co-register the DSM to SAR owing to the difference in spatial resolution, the two datasets were geometrically matched using unmanned aerial vehicle (4 cm resolution) and helicopter-borne (30 cm resolution) photographs acquired as part of the ice campaigns. A total of five dual-polarimetric SAR features―backscattering coefficients at HH and VV polarizations, co-polarization ratio, co-polarization phase difference, and co-polarization correlation coefficient ―were computed from the dual-polarimetric SAR data and compared to the RMS height of the sea ice, which showed macroscale surface roughness. All the SAR features obtained at the high incidence angle were statistically weakly correlated with the RMS height of the sea ice, possibly influenced by the low backscattering close to the noise level that is attributed to the high incidence angle. The SAR features ... Article in Journal/Newspaper Arctic Chukchi Chukchi Sea Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Chukchi Sea GIScience & Remote Sensing 57 5 650 669 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice surface roughness root mean square (rms) height snow-covered first-year sea ice synthetic aperture radar (sar) x-band dual polarimetry Mathematical geography. Cartography GA1-1776 Environmental sciences GE1-350 |
spellingShingle |
sea ice surface roughness root mean square (rms) height snow-covered first-year sea ice synthetic aperture radar (sar) x-band dual polarimetry Mathematical geography. Cartography GA1-1776 Environmental sciences GE1-350 Hyangsun Han Jae-In Kim Chang-Uk Hyun Seung Hee Kim Jeong-Won Park Young-Joo Kwon Sungjae Lee Sanggyun Lee Hyun-Cheol Kim Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR |
topic_facet |
sea ice surface roughness root mean square (rms) height snow-covered first-year sea ice synthetic aperture radar (sar) x-band dual polarimetry Mathematical geography. Cartography GA1-1776 Environmental sciences GE1-350 |
description |
Surface roughness of sea ice is primary information for understanding sea ice dynamics and air–ice–ocean interactions. Synthetic aperture radar (SAR) is a powerful tool for investigating sea ice surface roughness owing to the high sensitivity of its signal to surface structures. In this study, we explored the surface roughness signatures of the summer Arctic snow-covered first-year sea ice in X-band dual-polarimetric SAR in terms of the root mean square (RMS) height. Two ice campaigns were conducted for the first-year sea ice with dry snow cover in the marginal ice zone of the Chukchi Sea in August 2017 and August 2018, from which high-resolution (4 cm) digital surface models (DSMs) of the sea ice were derived with the help of a terrestrial laser scanner to obtain the in situ RMS height. X-band dual-polarimetric (HH and VV) SAR data (3 m spatial resolution) were obtained for the 2017 campaign, at a high incidence angle (49.5°) of TerraSAR-X, and for the 2018 campaign, at a mid-incidence angle (36.1°) of TanDEM-X 1–2 days after the acquisition of the DSMs. The sea ice drifted during the time between the SAR and DSM acquisitions. As it is difficult to directly co-register the DSM to SAR owing to the difference in spatial resolution, the two datasets were geometrically matched using unmanned aerial vehicle (4 cm resolution) and helicopter-borne (30 cm resolution) photographs acquired as part of the ice campaigns. A total of five dual-polarimetric SAR features―backscattering coefficients at HH and VV polarizations, co-polarization ratio, co-polarization phase difference, and co-polarization correlation coefficient ―were computed from the dual-polarimetric SAR data and compared to the RMS height of the sea ice, which showed macroscale surface roughness. All the SAR features obtained at the high incidence angle were statistically weakly correlated with the RMS height of the sea ice, possibly influenced by the low backscattering close to the noise level that is attributed to the high incidence angle. The SAR features ... |
format |
Article in Journal/Newspaper |
author |
Hyangsun Han Jae-In Kim Chang-Uk Hyun Seung Hee Kim Jeong-Won Park Young-Joo Kwon Sungjae Lee Sanggyun Lee Hyun-Cheol Kim |
author_facet |
Hyangsun Han Jae-In Kim Chang-Uk Hyun Seung Hee Kim Jeong-Won Park Young-Joo Kwon Sungjae Lee Sanggyun Lee Hyun-Cheol Kim |
author_sort |
Hyangsun Han |
title |
Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR |
title_short |
Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR |
title_full |
Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR |
title_fullStr |
Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR |
title_full_unstemmed |
Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR |
title_sort |
surface roughness signatures of summer arctic snow-covered sea ice in x-band dual-polarimetric sar |
publisher |
Taylor & Francis Group |
publishDate |
2020 |
url |
https://doi.org/10.1080/15481603.2020.1767857 https://doaj.org/article/f7fad788a86f424081582af1b54820aa |
geographic |
Arctic Chukchi Sea |
geographic_facet |
Arctic Chukchi Sea |
genre |
Arctic Chukchi Chukchi Sea Sea ice |
genre_facet |
Arctic Chukchi Chukchi Sea Sea ice |
op_source |
GIScience & Remote Sensing, Vol 57, Iss 5, Pp 650-669 (2020) |
op_relation |
http://dx.doi.org/10.1080/15481603.2020.1767857 https://doaj.org/toc/1548-1603 https://doaj.org/toc/1943-7226 1548-1603 1943-7226 doi:10.1080/15481603.2020.1767857 https://doaj.org/article/f7fad788a86f424081582af1b54820aa |
op_doi |
https://doi.org/10.1080/15481603.2020.1767857 |
container_title |
GIScience & Remote Sensing |
container_volume |
57 |
container_issue |
5 |
container_start_page |
650 |
op_container_end_page |
669 |
_version_ |
1779312077573193728 |