The study on an Antarctic sea ice identification algorithm of the HY-2A microwave scatterometer data

ZOU Juhong; ZENG Tao; GUO Maohua; CUI Songxue

doi:10.1007/s13131-016-0927-5

Article Contents

Article Navigation > Acta Oceanologica Sinica > 2016 > 35(9): 74-79

ZOU Juhong, ZENG Tao, GUO Maohua, CUI Songxue. The study on an Antarctic sea ice identification algorithm of the HY-2A microwave scatterometer data[J]. Acta Oceanologica Sinica, 2016, 35(9): 74-79. doi: 10.1007/s13131-016-0927-5

Citation:

ZOU Juhong, ZENG Tao, GUO Maohua, CUI Songxue. The study on an Antarctic sea ice identification algorithm of the HY-2A microwave scatterometer data[J]. Acta Oceanologica Sinica, 2016, 35(9): 74-79. doi: 10.1007/s13131-016-0927-5

Citation:

PDF( 30943 KB)

The study on an Antarctic sea ice identification algorithm of the HY-2A microwave scatterometer data

doi: 10.1007/s13131-016-0927-5

National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China

Received Date: 2015-04-13
Rev Recd Date: 2015-08-05

Abstract

Abstract

An Antarctic sea ice identification algorithm on the HY-2A scatterometer (HSCAT) employs backscattering coefficient (σ₀) and active polarization ratio (APR) for a preliminary sea ice identification. Then standard deviation (STD) filtering and space filtering are carried out. Finally, it is used to identify sea ice. A process uses a σ₀, STD threshold and an APR as sea ice indicators. The sea ice identification results are verified using the sea ice distribution data of the ASMR2 released by the National Snow and Ice Data Center as a reference. The results show very good consistence of sea ice development trends, seasonal changes, area distribution, and sea ice edge distribution of the sea ice identification results obtained by this algorithm relative to the ASMR2 sea ice results. The accuracy of a sea ice coverage is 90.8% versus the ASMR2 sea ice results. This indicates that this algorithm is reliable.
- HY-2A,
- scatterometer,
- sea ice identification,
- Antarctic

FullText(HTML)

References(25)

References

Alhumaidi S M,Jones W L,Park J D,et al.1997.A neural network al gorithm for sea ice edge classification.IEEE Transactions on Geoscience and Remote Sensing,35(4):817-826

Anderson H S,Long D G.2005.Sea ice mapping method for Sea-Winds.IEEE Transactions on Geoscience and Remote Sensing, 43(3):647-657

Bindschadler R A,Vornberger P L.1990.AVHRR imagery reveals Ant arctic ice dynamics.EOS Transactions American Geophysical Union,71(23):741-742

Cheng Xiao.2004.A study on monitoring Antarctic ice sheet using space-borne microwave remote sensing data (in Chinese)[dis sertation].Beijing:Institute of Remote Sensing and Application, Chinese Academy of Sciences

Cheng Xiao,Dongchen E,Shao Yun,et al.2003.Microwave scatterometer technology and application in polar regions.Chinese Journal of Polar Research (in Chinese),15(2):151-159

Ezraty R,Piollé J F.2001.SeaWinds on QuikSCAT polar sea ice grids, user's manual.Convection Report No.5.Brest:IFREMER.

Haarpaintner J,Tonboe R T,Long D G,et al.2004.Automatic detection and validity of the sea-ice edge:an application of enhanced-resolution QUIKSCAT/SeaWinds data.IEEE Transactions on Geoscience and Remote Sensing,42(7):1433-1443

Jiang Xingwei,Lin Mingsen,Song Qingtao.2013.Active and passive microwave remote sensing technology of the HY-2A ocean satellite mission.Engineering Sciences (in Chinese),15(7):4-11

Kachi M,Naoki K,Hori M,et al.2013.AMSR2 validation results.In:Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium.Melbourne,VIC:Piscataway, 831-834

Long D G.1999.Cryosphere applications of NSCAT data,IEEE Transactions on Geoscience and Remote Sensing,37(3):1671-1684

Long D G,Drinkwater M R.1994.Greenland ice-sheet surface properties observed by the seasat-a scatterometer at enhanced resolution.Journal of Glaciology,40(135):213-230

Remund Q P,Long D G.1998.Sea ice mapping algorithm for QuikS-CAT and SeaWinds.In:Proceedings of 1998 IEEE International Geoscience and Remote Sensing Symposium.Seattle,WA:Piscataway, 1686-1688

Remund Q P,Long D G.1999.Sea ice extent mapping using Ku-band scatterometer data.Journal of Geophysical Research,104(C5):11515-11527

Remund Q P,Long D G.2000.Iterative estimation of Antarctic sea ice extent using SeaWinds data.In:Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium.Honolulu, HI:Piscataway,2:491-493

Remund Q P,Long D G.2003.Large-scale inverse Ku-band backscatter modeling of sea ice.IEEE Transactions on Geoscience and Remote Sensing,41(8):1821-1833

Rivas M B,Stoffelen A.2008.Near real-time sea ice discrimination using SeaWinds on QUIKSCAT.Ocean and Sea Ice SAF Visiting Scientist Report SAF/OSI/CDOP/KNMI/TEC/TN/168.De Bilt:KNMI.

Scambos T A,Bindschadler R A.1993.Complex ice stream flow revealed by sequential satellite imagery.Annals of Glaciology, 17(1):177-182

Scambos T A,Dutkiewicz M J,Wilson J C,et al.1992.Application of image cross-correlation to the measurement of glacier velocity using satellite image data.Remote Sensing of Environment, 42(3):177-186

Tang Shulin,Qin Dahe,Ren Jiawen,et al.2006.The studies of Polar Sea Ice and their contribution to climate change researches.Journal of Glaciology and Geocryology,28(1):91-100

Tonboe R,Ezraty R E.2002.Monitoring of new-ice in Greenland waters.

In:Proceedings of 2002 IEEE I nternational Geoscience and Remote Sensing Symposium,vol 3.Toronto,Ont,Canada:Piscataway,1932-1934

Wadhams P.1994.Sea ice thickness changes and their relation to climate. In:Geophys Monogr Ser,vol 85.Washington,DC:American Geophysical Union,337-361.

Walsh J E.1983.The role of sea ice in climatic variability:theories and evidence.Atmosphere-Ocean,21(3):229-242

Yueh S H,Kwok R,Lou S H,et al.1997.Sea ice identification using dual-polarized Ku-band scatterometer data.IEEE Transactions on Geoscience and Remote Sensing,35(3):560-569

Zou Juhong,Xie Xuetong,Zhang Yi,et al.2014.Wind retrieval processing for HY-2A microwave scatterometer.In:Proceedings of 2014 IEEE Geoscience and Remote Sensing Symposium.Quebec City,QC:Piscataway,5160-5163

Relative Articles

Supplements(0)

Cited By

Proportional views