EN中文

Journal of Geo-information Science >

2012 , Vol. 14 >Issue 4: 523 - 530

DOI: https://doi.org/10.3724/SP.J.1047.2012.00523

ARTICLES

Optical Satellite Remote Sensing Capabilities Analysis of the Marine Oil Spill

Expand
  • 1. Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research(YIC), Chinese Academy of Sciences(CAS); Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, YICCAS, Yantai Shandong 264003, P. R. China;
    2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2011-12-26

  Revised date: 2012-07-11

  Online published: 2012-08-22

Supported by

null

Fold

Abstract

The marine oil spill impacts on the marine environment with the features of high frequency, wide range and great hazards. Using remote sensing for marine oil spill detection has become an important means. In this paper, we started with the spectral character of the marine oil spill, and established the relationship with the common optical satellite sensors. Then we analyzed the main physical parameters of the different optical satellites, including the spatial resolution, the time resolution, width and band number. The MODIS sensor and HJ-1 satellite has a strong monitoring capabilities of marine oil spill. Based on this, we used MODIS, BJ-1, HJ-1 and FY3 optical satellites images to monitor the marine oil spill accident occurred in the Bohai Sea in March 2006 and June 2011. The MODIS image can reflect the information of marine oil spill clearly in 2006 and 2011. The HJ-1 image can reflect the information of marine oil spill clearly in 2011, but the BJ-1 and FY-3 images cannot reflect the information of marine oil spill clearly in the two oil spill accidents. HJ-1, BJ-1and FY3 satellites in the band set are similar, but the BJ-1 and FY-3 satellites cannot reflect the information of marine oil spill. So in this article we compared the contrast of oil-water spectrum and the variance of the sea water spectrum using the MODIS remote sensing data. Experimental results show that, when the variance of the sea water spectrum is less than the contrast of oil-water spectrum in the MODIS band, the oil spill information can be shown on this band clearly. When the contrast of oil-water spectrum is less than or close to the variance of the sea water spectrum, the oil spill information cannot be shown on this band clearly. So through the above analysis, the MODIS sensor has a strong monitoring capacity on the spectral response of oil spill, spatial resolution, temporal resolution and the instance. This article has certain practical value of the optical satellite selected in marine oil spill remote sensing monitoring.

Key words： optical remote sensing; oil spill; monitor capacity

Cite this article

SU Weiguang, SU Fenzhen, ZHOU Chenghu, Du Yunyan . Optical Satellite Remote Sensing Capabilities Analysis of the Marine Oil Spill[J]. Journal of Geo-information Science, 2012 , 14(4) : 523 -530 . DOI: 10.3724/SP.J.1047.2012.00523

References

[1] 陈辉,赵朝方.MODIS多光谱信息在海上溢油检测中的应用[J].海洋湖沼通报,2009,3:46-52.

[2] 安居白,张永宁.发达国家海上溢油遥感监测现状分析[J].交通环保,2002,23(3):27-29.

[3] O'Neil R A, Neville R A and Thompson V. The Arctic Marine Oil spill Program (AMOP) remote sensing study. Environment Canada Report EPS 4-EC-83-3, Ottawa, Ontario, 1983,257.

[4] Cross A. Monitoring marine oil pollution using AVHRR data: Observations off the coast of Kuwait and Saudi Arabia during January 1991[J]. International Journal of Remote Sensing, 1992, 13:781-788.

[5] Casciello D, Lacava T, Pergola N, et al. Robust satellite techniques for oil spill detection and monitoring using AVHRR thermal infrared bands[J]. International Journal of Remote Sensing, 2011, 32(14): 4107-4129. http://www.tandfonline.com/doi/abs/10.1080/01431161.2010.484820.

[6] Srivastava H, Singh T P. Assessment and development of algorithms to detection of oil spills using MODIS data[J]. Journal of the Indian Society of Remote Sensing, 2010, 38(1):161-167.

[7] http://www.nasa.gov/topics/earth/features/oilspill/index.html

[8] 李栖筠,陈维英.老铁山水道漏油事故卫星监测[J].环境遥感, 1994,9(4):256-262.

[9] 苏伟光. 海洋卫星遥感溢油监测技术与应用研究.长沙:中南大学论文,2008.

[10] Hu C M, Li X F, William G P, et al. Detection of natural oil slicks in the NW Gulf of Mexico using MODIS imagery[J]. Geophysical Research Letters, 2009, 36, L01604.

[11] 赵冬至,张存智,徐恒振. 海洋渔业灾害应急响应技术研究[M]. 北京:海洋出版社, 2006,115-123.

[12] Palmer D, Boasted G A, Boxall S R. Airborne multispectral remote sensing of the January 1993 Shetlands oil spill. Proceedings of the Second Thematic Conference on Remote Sensing for Marine and Coastal Environments: Needs, Solutions and Applications, ERIM Conferences, Ann Arbor, 1994, II-546-558.

[13] Salem F M F. Hyperspectral remote sensing: A new approach for oil spill detection and analysis. Washington, DC: George Mason University, 2003,49-85.

[14] 郑安全,孙元福,师元勋,等. 海面溢油航空遥感监测方法研究-波谱特性及实验结果分析[J]. 海洋学报,1984,6(4):531-554.

[15] 张永宁,丁倩,高超,等. 油膜波谱特性分析与遥感监测溢油[J]. 海洋环境科学,2000,19(3):5-10.

[16] 赵冬至,从丕福. 海面溢油的可见光波段地物光谱特征研究[J]. 遥感技术与应用,2000,15 (3):160-164.

[17] 韩栋,纪凯. 遥感小卫星简介——以"北京一号"小卫星为例[J]. 航天返回与遥感,2007,28(1):22-24.

[18] 范天锡. 风云三号气象卫星的特点和作用[J]. 气象科技,2002,30(6):321-327.

[19] http://www.soa.gov.cn/soa/news/importantnews/webinfo/2011/07/1309736508728166.htm

Options
Outlines

/

〈 〉