Please wait a minute...
img

官方微信

遥感技术与应用  2012, Vol. 27 Issue (6): 912-918    DOI: 10.11873/j.issn.1004-0323.2012.6.912
模型与反演     
一种利用HY-2卫星扫描微波辐射计数据反演极地海冰密集度的算法
张翔1,2,王振占1,谌华1
(1.中国科学院微波遥感技术重点实验室,中国科学院空间科学与应用研究中心,北京 100190;
2.中国科学院大学,北京 100049)
A Sea Ice Concentration Algorithm based on HY-2 Scanning Radiometer Data
Zhang Xiang1,2,Wang Zhenzhan1,Shen Hua1
(1.Key Laboratory of Microwave Remote Sensing,National Space Science Center/Center for
Space Science and Applied Research,Chinese Academy of Sciences,Beijing 100190,China;
2.University of the Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(3308 KB)  
摘要:

海洋二号卫星(HY-2)是中国第一颗海洋动力环境监测卫星,如何有效地利用海洋二号卫星扫描辐射计数据监测海冰成为亟待解决的问题。根据海冰与海水辐射特征,提出一种基于多频段双极化反演海冰密集度方法,该方法利用简化的辐射传输模型和地物参考点模拟亮温并逼近观测亮温。该方法与NASA Team 2和ABA算法具有很好的可比性。应用该方法,可以有效利用HY-2卫星反演海冰密集度,监测海冰边缘与面积变化。

关键词: 海洋二号卫星扫描微波辐射计海冰密集度反演极冰    
Abstract:

Sea ice is a crucial component of global climate system,which is an effective index of global climate change.HY-2 (HaiYang-2) satellite is the first satellite of China particularly used for monitoring Ocean environmental dynamics.With the launch of HY-2,valuable oceanic data are obtained day and night,regardless of could cover.Thus,how to use HY-2 satellite to monitor polar sea ice is needs to be solved urgently.A new sea ice concentration retrieval algorithm is advanced based on radiative characteristics of water and sea ice.The new algorithm is comparable to NT2 algorithm and ABA.With this algorithm,sea ice concentration could be retrieved successfully using HY-2 passive microwave data.

Key words: HY-2 satellite    Scanning microwave radiometer    Sea ice concentration retrieval    Polar sea ice
收稿日期: 2012-02-15 出版日期: 2013-06-25
:  TP 79  
基金资助:

国家海洋局公益性项目专项基金(201105032)资助。

作者简介: 张翔(1987-),男,浙江衢州人,硕士研究生,主要从事被动微波遥感应用研究。Email:luft.zhang@gmail.com。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
张翔
王振占
谌华

引用本文:

张翔,王振占,谌华. 一种利用HY-2卫星扫描微波辐射计数据反演极地海冰密集度的算法[J]. 遥感技术与应用, 2012, 27(6): 912-918.

Zhang Xiang,Wang Zhenzhan,Shen Hua. A Sea Ice Concentration Algorithm based on HY-2 Scanning Radiometer Data. Remote Sensing Technology and Application, 2012, 27(6): 912-918.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2012.6.912        http://www.rsta.ac.cn/CN/Y2012/V27/I6/912

[1]Kongoli C.A New Sea-ice Concentration Algorithm based on Microwave Surface Emissivities-Application to AMSU Measurements[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(1):175-189.

[2]Parkinson C L.Arctic Sea Ice,1973-1976:Satellite Passive-Microwave Observations[M].Washington DC:Scientific and Technical Information Branch,National Aeronautics and Space Administration,1987.

[3]Andersen S.Improved Retrieval of Sea Ice Total Concentration from Spaceborne Passive Microwave Observations Using Numerical Weather Prediction Model Fields:An Intercomparison of Nine Algorithms[J].Remote Sensing of Environment,2006,104(4):374-392.

[4]Carsey F D.Microwave Remote Sensing of Sea Ice[M].Wa-shington DC:American Geophysical Union,1992.

[5]National Satellite Ocean Application Service.China HaiYang-2 Satellite Subject[EB/OL].http://www.nsoas.gov.cn/HY2A Zhuanti/HY2A/Index.html,2011.[国家卫星海洋应用中心.中国海洋二号卫星专题[EB/OL].http://www.nsoas.gov.cn/HY2A Zhuanti/HY2A/Index.html,2011.]

[6]Deser C,Teng H.Evolution of Arctic Sea Ice Concentration Trends and the Role of Atmospheric Circulation Forcing,1979-2007[J].Geophysicd Research Letters,2008,35:02504.DOI:10.102912007GL032023.

[7]Cavalieri D J,Gloersen P,Campbell W J.Determination of Sea Ice Parameters with the Nimbus 7 SMMR[J].Journal of Geophysical Research,1984,89(D4):5355-5369.

[8]Maslanik J.Effects of Weather on the Retrieval of Sea Ice Concentration and Ice Type from Passive Microwave Data[J].International Journal of Remote Sensing,1992,13(1):37-54.

[9]Gloersen P,Cavalieri D J.Reduction of Weather Effects in the Calculation of Sea Ice Concentration from Microwave Radiances[J].Journal of Geophysical Research,1986,91(C3):3913-3919.

[10]Cavalieri D J.Arctic and Antarctic Sea Ice Concentrations from Multichannel Passive Microwave Satellite Data Sets:October 1978- September 1995:Users Guide[S].Maryland:Greenbelt,NASA Goddard Space Flight Center,1997.

[11]Markus T,Cavalieri D J.An Enhancement of the NASA Team Sea Ice Algorithm[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(3): 1387-1398.[12]Comiso J C.Algorithm Theoretical Basis Document (ATBD) for the ADEOS/AMSR Sea Ice Algorithm[R].AMSR/AMSR-E Documents,1999.

[13]Comiso J C.Passive Microwave Algorithms for Sea Ice Concentration:A Comparison of Two Techniques[J].Remote Sensing of Environment,1997,60(3):357-384.[14]Hewison T J,English S J.Airborne Retrievals of Snow and Ice Surface Emissivity at Millimeter Wavelengths[J].IEEE Transactions on  Geoscience and Remote Sensing,1999,37(4):1871-1879.

[1] 陈坤堂,董晓龙,徐星欧,郎姝燕. 微波散射计反演海面风场的神经网络方法研究[J]. 遥感技术与应用, 2017, 32(4): 683-690.
[2] 云婷,董晓龙. 星载微波散射计高分辨率σ0图像重构方法研究[J]. 遥感技术与应用, 2015, 30(3): 495-503.
[3] 高 飞 张俊荣. 星载微波成像仪数字仿真技术[J]. 遥感技术与应用, 1997, 12(4): 21-25.