{"title":"Sea Ice Detection Based on Unambiguous Retrieval of Scattering Coefficient from GNSS-R Delay-Doppler Maps","authors":"Q. Yan, Weimin Huang","doi":"10.1109/OCEANSKOBE.2018.8559148","DOIUrl":null,"url":null,"abstract":"In this paper, a method is proposed for detecting sea ice based on the scattering coefficient $(\\sigma^{0})$ retrieved from Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler maps (DDMs). First, a strategy for unambiguously retrieving the surface scattering coefficients is illustrated, by employing the spatial integration approach (SIA) and the multi-scan technique. Next, the application of this proposed scheme for sea ice remote sensing is demonstrated using DDMs acquired from the U.K. TechDemoSat-l (TDS-l) mission and verified with the collocated reference sea ice concentration (SIC) data obtained by Nimbus-7 SMMR and DMSP SSM/I-SSMIS sensors. The test results show that the proposed method offers a new solution to sea ice detection and a feasible aspect for resolving the ambiguity in the retrieval of $\\sigma^{0}$ from GNSS-R DDMs.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSKOBE.2018.8559148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a method is proposed for detecting sea ice based on the scattering coefficient $(\sigma^{0})$ retrieved from Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler maps (DDMs). First, a strategy for unambiguously retrieving the surface scattering coefficients is illustrated, by employing the spatial integration approach (SIA) and the multi-scan technique. Next, the application of this proposed scheme for sea ice remote sensing is demonstrated using DDMs acquired from the U.K. TechDemoSat-l (TDS-l) mission and verified with the collocated reference sea ice concentration (SIC) data obtained by Nimbus-7 SMMR and DMSP SSM/I-SSMIS sensors. The test results show that the proposed method offers a new solution to sea ice detection and a feasible aspect for resolving the ambiguity in the retrieval of $\sigma^{0}$ from GNSS-R DDMs.