X- and C-Band SAR Signatures of Sea Ice in the Bohai Sea

被引:0
作者
Qiu, Yujia [1 ,2 ,3 ]
Li, Xiao-Ming [1 ,4 ,5 ]
Busche, Thomas [6 ]
Shi, Lijian [7 ,8 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Hainan Aerosp Informat Res Inst, Wenchang 571333, Peoples R China
[5] Henan Univ, Sch Comp & Informat Engn, Kaifeng 475001, Peoples R China
[6] Microwaves & Radar Inst, German Aerosp Ctr DLR, D-82234 Wessling, Germany
[7] Minist Nat Resources, Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
[8] Minist Nat Resources, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China
关键词
Sea ice; Sea surface; Ice; Synthetic aperture radar; Surface roughness; Rough surfaces; Surface topography; Bohai Sea; LiDAR; sea ice; sea ice roughness; synthetic aperture radar (SAR);
D O I
10.1109/LGRS.2024.3468407
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This study carried out an X- and C-band spaceborne synthetic aperture radar (SAR) observation synchronized with the field experiment in the Bohai Sea of China in January 2024. Based on the co-located X- and C-band SAR multipolarized data from TerraSAR-X/TanDEM-X, Gaofen-3, and Sentinel-1, we elucidated the signatures of thin ice and quantified their separability. Underlying the identified thin ice information, we further demonstrated the feasibility of separating thin ice and seawater from the ice-water mixture. Combining with the LiDAR-measured surface roughness, we investigated its correlation with different X- and C-band SAR signatures, of which the optimal parameter was used to develop the regression models for estimating thin ice surface roughness. The comprehensive application of multiband, multipolarization SAR contributes to resolve the ambiguity of observed thin ice signatures. Our case study highlights the potential role of multipolarized (or even fully polarized) X-band SAR for thin ice observations.
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页数:5
相关论文
共 18 条
  • [1] [Anonymous], 2014, Sea Ice Nomenclature
  • [2] Estimation of Level and Deformed First-Year Sea Ice Surface Roughness in the Canadian Arctic Archipelago from C- and L-Band Synthetic Aperture Radar
    Cafarella, Silvie Marie
    Scharien, Randall
    Geldsetzer, Torsten
    Howell, Stephen
    Haas, Christian
    Segal, Rebecca
    Nasonova, Sasha
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2019, 45 (3-4) : 457 - 475
  • [3] Dierking W, 2013, OCEANOGRAPHY, V26, P100
  • [4] Hajnsek I., 2021, Polarimetric Synthetic Aperture Radar, P179
  • [5] Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR
    Han, Hyangsun
    Kim, Jae-In
    Hyun, Chang-Uk
    Kim, Seung Hee
    Park, Jeong-Won
    Kwon, Young-Joo
    Lee, Sungjae
    Lee, Sanggyun
    Kim, Hyun-Cheol
    [J]. GISCIENCE & REMOTE SENSING, 2020, 57 (05) : 650 - 669
  • [6] Combined observations of Arctic sea ice with near-coincident colocated X-band, C-band, and L-band SAR satellite remote sensing and helicopter-borne measurements
    Johansson, A. M.
    King, J. A.
    Doulgeris, A. P.
    Gerland, S.
    Singha, S.
    Spreen, G.
    Busche, T.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2017, 122 (01) : 669 - 691
  • [7] X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring
    Johansson, A. Malin
    Brekke, Camilla
    Spreen, Gunnar
    King, Jennifer A.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 204 : 162 - 180
  • [8] Chain structure, linear viscoelasticity and extensional rheology of poly(4-vinyl biphenyl-stat-styrene) statistical copolymers
    Lopez-Barron, Carlos R.
    [J]. POLYMER ENGINEERING AND SCIENCE, 2021, 61 (04) : 1087 - 1095
  • [9] Arctic Sea Ice Topography Information From RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) Backscatter
    Macdonald, Grant J.
    Scharien, Randall K.
    Duncan, Kyle
    Farrell, Sinead L.
    Rezania, Parnian
    Tavri, Aikaterini
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (04)
  • [10] C- and L-band SAR signatures of Arctic sea ice during freeze-up
    Mahmud, Mallik S.
    Nandan, Vishnu
    Singha, Suman
    Howell, Stephen E. L.
    Geldsetzer, Torsten
    Yackel, John
    Montpetit, Benoit
    [J]. REMOTE SENSING OF ENVIRONMENT, 2022, 279