SHI Lijian, LI Mingming, ZHAO Chaofang, WANG Zhixiong, SHI Yingni, ZOU Juhong, ZENG Tao. Sea ice extent retrieval with HY-2A scatterometer data and its assessment[J]. Acta Oceanologica Sinica, 2017, 36(8): 76-83. doi: 10.1007/s13131-017-1022-2
Citation: SHI Lijian, LI Mingming, ZHAO Chaofang, WANG Zhixiong, SHI Yingni, ZOU Juhong, ZENG Tao. Sea ice extent retrieval with HY-2A scatterometer data and its assessment[J]. Acta Oceanologica Sinica, 2017, 36(8): 76-83. doi: 10.1007/s13131-017-1022-2

Sea ice extent retrieval with HY-2A scatterometer data and its assessment

doi: 10.1007/s13131-017-1022-2
  • Received Date: 2016-05-23
  • A sea ice extent retrieval algorithm over the polar area based on scatterometer data of HY-2A satellite has been established. Four parameters are used for distinguishing between sea ice and ocean with Fisher's linear discriminant analysis method. The method is used to generate polar sea ice extent maps of the Arctic and Antarctic regions of the full 2013-2014 from the scatterometer aboard HY-2A (HY-2A-SCAT) backscatter data. The time series of the ice mapped imagery shows ice edge evolution and indicates a similar seasonal change trend with total ice area from DMSP-F17 Special Sensor Microwave Imager/Sounder (SSMIS) sea ice concentration data. For both hemispheres, the HY-2A-SCAT extent correlates very well with SSMIS 15% extent for the whole year period. Compared with Synthetic Aperture Radar (SAR) imagery, the HY-2A-SCAT ice extent shows good correlation with the Sentinel-1 SAR ice edge. Over some ice edge area, the difference is very evident because sea ice edges can be very dynamic and move several kilometers in a single day.
  • loading
  • Breivik L A, Eastwood S, Lavergne T. 2012. Use of c-band scatterometer for sea ice edge identification. IEEE Trans Geosci Remote Sens, 50(7):2669-2677
    Comiso J C, Zwally H J. 1984. Concentration gradients and growth/decay characteristics of the seasonal sea ice cover. J Geophys Res, 89(C5):8081-8103
    De Abreu R, Wilson K, Arkett M, et al. 2002. Evaluating the use of QuikSCAT data for operational sea ice monitoring. In:2002 IEEE International Geoscience and Remote Sensing Symposium. Toronto, Ontario, Canada:IEEE, 5:3032-3033
    De Haan S, Stoffelen A. 2001. Ice discrimination using ERS scatterometer document external project:2001, SAF/OSI/KNMI/TEC/TN/120, EUMETSAT. http://www.knmi.nl/publications/[2001-12-31/2012-5-6]
    Early D S, Long D G. 1997. Azimuthal modulation of c-band scatterometer σ0 over southern ocean sea ice. IEEE Trans Geosci Remote Sens, 35(5):1201-1209
    Long D G, Drinkwater M R. 1994. Greenland ice-sheet surface properties observed by the seasat-a scatterometer at enhanced resolution. J Glaciol, 40(135):213-230
    Meier W N, Stroeve J. 2008. Comparison of sea-ice extent and ice-edge location estimates from passive microwave and enhanced-resolution scatterometer data. Ann Glaciol, 48(1):65-70
    Cavalieri D J, Parkinson C, Gloersen P, et al. 1996. Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data, version 1. Boulder, Colorado USA:NASA National Snow and Ice Data Center Distributed Active Archive Center. http://dx.doi.org/10.5067/8GQ8LZQVL0VL[2014-1-31/2015-4-1]
    Remund Q P, Early D S, Long D G. 1997. Azimuthal Modulation of Ku-band Scatterometer Sigma-0 over the Antarctic. Provo, UT, USA:MERS
    Remund Q P, Long D G. 1997. Automated Antarctic ice edge detection using NSCAT data. In:1997 IEEE International Remote Sensing—A Scientific Vision for Sustainable Development, Geoscience and Remote Sensing. Singapore:IEEE, 4:1841-1843
    Remund Q P, Long D G. 1999. Sea ice extent mapping using Ku band scatterometer data. J Geophys Res, 104(C5):11515-11527
    Remund Q P, Long D G. 2014. A decade of quikSCAT scatterometer sea ice extent data. IEEE Trans Geosci Remote Sens, 52(7):4281-4290
    Remund Q P, Long D G, Drinkwater M R. 2000. An iterative approach to multisensor sea ice classification. IEEE Trans Geosci Remote Sens, 38(4):1843-1856
    Rivas M B, Stoffelen A. 2011. New bayesian algorithm for sea ice detection with quikSCAT. IEEE Trans Geosci Remote Sens, 49(6):1894-1901
    Tonboe R, Toudal L. 2005. Classification of new-ice in the Greenland sea using satellite SSM/I radiometer and SeaWinds scatterometer data and comparison with ice model. Remote Sens Environ, 97(3):277-287
    Yueh S H, Kwok R, Lou S H, et al. 1997. Sea ice identification using dual-polarized ku-band scatterometer data. IEEE Trans Geosci Remote Sens, 35(3):560-569
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1109) PDF downloads(1045) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return