渤海AVHRR多通道海冰密集度反演算法试验研究

刘志强; 苏洁; 时晓旭; 赵进平

doi:10.3969/j.issn.0253-4193.2014.11.009

渤海AVHRR多通道海冰密集度反演算法试验研究

doi: 10.3969/j.issn.0253-4193.2014.11.009

1.
中国海洋大学海洋环境学院, 山东青岛 266100
2.
中国海洋大学海洋环境学院, 山东青岛 266100;中国科学院大气物理研究所, 北京 100029

基金项目: 国家海洋局公益项目(201105016);气象公益性行业项目(GYHY201306049)。

计量
- 文章访问数: 1455
- HTML全文浏览量: 4
- PDF下载量: 954
- 被引次数: 0
出版历程
- 收稿日期: 2014-03-09

Study on the multi-band retrieval algorithm for the Bohai Sea ice concentration using AVHRR data

1.
College of Environmental Oceanography, Ocean University of China, Qingdao 266100, China
2.
College of Environmental Oceanography, Ocean University of China, Qingdao 266100, China;Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

摘要

摘要: 为了得到更精确的渤海海冰密集度反演参数,采用辽东湾不同类型海冰ASD实测数据,在分析光谱特征的基础上,针对NOAA/AVHRR数据确定出合适海冰密集度反演算法阈值。继而,基于线性光谱混合模型的多通道反演算法进行了一系列算法试验。同时实现了基于LandSat5-TM数据的渤海海冰密集度场反演,并利用该结果与AVHRR单通道和多通道算法得到的海冰密集度反演结果进行比对分析。定量误差分析结果表明,当单通道算法或组合算法中包含1通道时,与Landsat5-TM反演结果的平均误差为正值,包含2通道且不包含1通道时,平均误差为负值;同时使用这两个通道较只包含其一的各种组合算法的平均误差明显偏小;在各种组合算法中,1245四个通道组合反演的海冰密集度结果误差最小,可应用于渤海AVHRR数据海冰密集度反演。
- 渤海 /
- 海冰密集度反演 /
- 线性光谱混合模型 /
- NOAA/AVHRR /
- LandSat5-TM
Abstract: To achieve the improved retrieval parameter of sea ice concentration(SIC) in the Bohai Sea,spectral characteristics of different types of sea ice are obtained and analyzed using in-situ ASD measurements in the Liaodong Bay. Appropriate threshold is thus determined for the retrieval of AVHRR data and then the SIC is calculated. In this paper,muti-band retrieval algorithm based on linear spectral mixture model (LSMM) is used for conducting a series of band experiments. The retrieved SIC using LandSat5-TM data is used to compare with the AVHRR SIC of different combinational algorithms. The results of error quantitative analysis indicate that the mean error (ME) of the algorithms involving band1 is positive,but the ME turns to negative when the algorithms involve band2 instead of band1; the ME of the algorithms which include both of two bands is less than the those which include only band1 or band2; among these algorithms,the 1245 joint-band algorithm has the minimum errors:it is concluded that the 1245 joint-band algorithm can be used for the retrieval of AVHRR SIC in the Bohai Sea.
- Bohai Sea /
- SIC retrieval /
- LSMM /
- NOAA-AVHRR /
- LandSat5-TM

HTML全文

参考文献(20)

白珊,刘钦政,吴辉碇,等. 渤海、北黄海海冰与气候变化的关系[J].海洋学报,2001,23(5):33-41.

苏洁,郝光华,叶鑫欣,等. 极区海冰密集度AMSR-E数据反演算法的试验和验证[J].遥感学报,2013,17(3):459-513.

柯长青,谢红接,雷瑞波,等. 北极海冰的光谱特征分析[J].光谱学与光谱分析,2012,32(4):1081-1084.

郑新江,邱康睦,陆风. 定量计算渤海海冰参数的遥感方法[J].应用气象学报,1998,9(3):359-363.

罗亚威,张蕴斐,孙从容,等. "海洋 1 号" 卫星在海冰监测和预报中的应用[J].海洋学报,2005,27(1):7-18.

吴龙涛,吴辉碇,孙兰涛,等.MODIS渤海海冰遥感资料反演[J].中国海洋大学学报,2006,36(2):173-179.

Gesell G. An algorithm for snow and ice detection using AVHRR data An extension to the APOLLO software package[J]. International Journal of Remote Sensing,1989,10(4): 897-905.

Key J,Barry R G.Cloud cover analysis with Arctic AVHRR data: 1. Cloud detection[J]. Journal of Geophysical Research: Atmospheres (1984-2012),1989,94(15): 18521-18535.

Stowe L,Davis P A,McClain E P. Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the Advanced Very High Resolution Radiometer[J]. Journal of Atmospheric and Oceanic Technology,1999,16(6): 656-681.

Settle J,Drake N A. Linear mixing and the estimation of ground cover proportions [J]. International Journal of Remote Sensing,1993,14(6): 1159-1177.

Chander G,Markham B L,Helder D L. Summary of current radiometriccalibration coefficients for Landsat MSS,TM,ETM+,and EO-1 ALI sensors[J]. Remote sensing of environment,2009,113(5): 893-903.

Xu Dong,Su Jie,Liu Zhiqiang,et al.Application of cloud detection algorithm in the Arctic region based on AVHRR satellite data[C]//Proceedings of the International Conference on Remote Sensing Environment and Transportation Engineering.2011(2): 1026-1030.

马开玉,丁裕国,屠其璞,等. 气候统计原理与方法[M]. 北京:气象出版社,1993.

Steffen K,Maslanik J A. Comparison of Nimbus 7 scanning multichannel microwave radiometer radiance and derived sea ice concentrations with Landsat imagery for the North Water area of Baffin Bay[J]. Journal of Geophysical Research: Oceans (1978-2012),1988,93(C9): 10769-10781.

Rober D A,Gardner M,Church R,et al.Mapping Chaparral in the South Honica Mountains using multiple endmember spectralmixture models[J].Remote Sens,Environ,1998,65:267-279.

Steffen K,Schweiger A. NASA team algorithm for sea ice concentration retrieval from Defense Meteorological Satellite Program special sensor microwave imager: Comparison with Landsat satellite imagery[J]. Journal of Geophysical Research,1991,96(C12): 21971-21987.

Grenfell T C,Barber D G,Fung A K,et al. Evolution of electromagnetic signatures of sea ice from initial formation to the establishment of thick first-year ice[J]. Geoscience and Remote Sensing,1998,36(5): 1642-1654.

Perovich D K,Maykut G A,Grenfell T C. Optical properties of ice and snow in the polar oceans. I: Observations[C]// Technical Symposium Southeast International Society for Optics and Photonics,1986: 232-241.

Cavalieri D J,Markus T,Hall D K,et al. Assessment of EOS Aqua Amsr-E arctic sea ice concentrations using landsat-7 and airborne microwave imagery[J]. Geoscience and Remote Sensing,2006,44(11): 3057-3069.

Light B,Eicken H,Maykut G A,et al. The effect of included participates on the spectral albedo of sea ice[J]. Journal of Geophysical Research: Oceans (1978-2012),1998,103(C12): 27739-27752.

施引文献

资源附件(0)

访问统计