中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Incidence angle dependency of polarimetric characteristics for Arctic sea ice

文献类型:期刊论文

作者Yang, Kun4,5; Wu, Jin3; Li, Haiyan2,5; Perrie, William1; Zhang, Menghao2,5
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2026-04-09
卷号N/A
关键词Sea ice classification incidence angle dependence polarimetric parameters synthetic aperture radar GaoFen-3
ISSN号0143-1161
DOI10.1080/01431161.2026.2653240
产权排序3
文献子类Article ; Early Access
英文摘要This study first investigates the incidence angle dependence of polarimetric parameters and backscatter coefficients for Arctic summer sea ice, using GaoFen-3 quad-polarization SAR data. A total of 106 SAR scenes acquired over the Fram Strait area from 14 June to 18 June, 2017 were analysed to evaluate the polarimetric characteristics of five sea surface types: calm water (CW), rough water (RW), melted ice (MI), unmelted ice (UI), and deformed ice (DI). Key results reveal: (1) Incidence angle dependence decreases in the order RW > CW > MI > UI > DI for all seven SAR parameters (sigma(hh), K-s, SEi, sigma(rh), CPSEi, rho(rh_rv), alpha(s)); (2) Both backscatter intensities of sigma(hh) and sigma(rh), exhibit stronger angular dependence than polarimetric decomposition parameters (K-s, SEi, CPSEi, rho(rh_rv), alpha(s)) for all five sea surface types; (3) Utilizing the Separability Index (SI) to evaluate how the distinguishing capabilities of seven polarimetric SAR parameters among five sea surface types vary with incidence angles. The sea ice classification capability of each parameter is not linear variation with incidence angles. We identify optimal incidence angle ranges for distinguishing each sea surface type using these parameters. These findings offer valuable insights for sea ice classification.
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WOS关键词BAND SAR ; CLASSIFICATION ; DECOMPOSITION ; SIGNATURES ; 1ST-YEAR ; PRODUCT ; SNOW
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001735255000001
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/221483]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Li, Haiyan
作者单位1.Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS, Canada
2.Chinese Acad Sci, Key Lab Computat Geodynam, Beijing, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China;
4.Beijing Inst Surveying & Mapping, Beijing, Peoples R China;
5.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, 1 Yanqi Lake East Rd, Beijing 101408, Peoples R China;
推荐引用方式
GB/T 7714
Yang, Kun,Wu, Jin,Li, Haiyan,et al. Incidence angle dependency of polarimetric characteristics for Arctic sea ice[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2026,N/A.
APA Yang, Kun,Wu, Jin,Li, Haiyan,Perrie, William,&Zhang, Menghao.(2026).Incidence angle dependency of polarimetric characteristics for Arctic sea ice.INTERNATIONAL JOURNAL OF REMOTE SENSING,N/A.
MLA Yang, Kun,et al."Incidence angle dependency of polarimetric characteristics for Arctic sea ice".INTERNATIONAL JOURNAL OF REMOTE SENSING N/A(2026).

入库方式: OAI收割

来源:地理科学与资源研究所

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