Please wait a minute...
img

官方微信

遥感技术与应用  2010, Vol. 25 Issue (2): 216-220    DOI: 10.11873/j.issn.1004-0323.2010.2.216
研究与应用     
基于NOAA18的渤海烟台海域溢油遥感研究
杨 红,唐泽艳
上海海洋大学海洋科学学院,上海 201306
Based on NOAA18 Yantai Bohai Sea Oil Spill Remote Sensing Research
YANG  Hong,TANG Ze-yan
Shanghai Ocean University Marine Science and Technology College,Shanghai 210306,China
 全文: PDF(2042 KB)  
摘要:

概述了海洋溢油监测的国内外研究现状,并指出了研究的切入点和研究意义所在。研究采用的是NOAA18的数据,由于溢油区域与非溢油区域的比热容不同,从而引起海表面的辐射发生变化,反映在卫星图片上是灰度值不同。因此利用发生溢油区域在卫星图片上的灰度值不同而呈现出深色区域,进而在卫星图片上找出疑似溢油区域,再进行人工解译,进一步确定溢油的发生区域。以烟台“金玫瑰”号溢油事故为例,综合考虑烟台海域水文因素等,分析得出溢油发生的范围。

关键词: 遥感溢油监测溢油分析NOAA18    
Abstract:

This paper summarizes the study of marine oil spill monitoring at home and abroad,and pointed out the starting point of this study and research.In this study,it has used the NOAA18 data,due to the non-oil spill and oil spill region that the specific heat capacity of the regional differences are reflected in the satellite images.Because the polluted sea surface changed the radiance which is gray-scale value is different.Therefore,the use of oil spill occurred on the region in satellite images showing differences in gray values which reflected the dark area on the image,and then in the satellite images to identify a suspected oil spill on the region,conducting manual interpretation,and further to determine the occurrence of oil spill area.Taking Yantai “Golden Rose” oil spills for example,comprehensive consideration of factors such as hydrology,the scope of oil spill occurred in Yantai area was analyzed.
 

Key words: Remote sensing    Spill oil supervising    Spill oil analysis    NOAA18 data
收稿日期: 2009-10-27 出版日期: 2010-10-19
基金资助:

国家海洋局908专项(908-01-BC22);海洋公益性行业科研项目(200905010);上海市海洋环境工程重点学科开放基金项目(J50702)。

作者简介: 杨红(1962-),女,教授,主要研究方向为环境海洋学。E-mail:hyang@shou.edu.cn。
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  
??红
唐泽艳

引用本文:

杨 红, 唐泽艳. 基于NOAA18的渤海烟台海域溢油遥感研究[J]. 遥感技术与应用, 2010, 25(2): 216-220.

YANG Hong, TANG Ze-yan. Based on NOAA18 Yantai Bohai Sea Oil Spill Remote Sensing Research. Remote Sensing Technology and Application, 2010, 25(2): 216-220.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.2.216        http://www.rsta.ac.cn/CN/Y2010/V25/I2/216

[1]Kvenvolden K A,Cooper C K.Natural Seepage of Crude Oil into the Marine Environment[J].Geo-Mar Lett,2003,23:140-146.
[2]Brekke C,Solberg A H S .Oil Spill Detection by Satellite Remote Sensing [J].Remote Sensing of Environment,2005,95:1-13.
[3]Chust G,Sagarminaga Y.The Multi-angle View of MISR Detects Oil Slicks under Sun Glitter Conditions[J].Remote Sensing of  Environment,2007,107:232-239.
[4]Yu Wuyi,Li Jin,ShaoYun,et al.Remote Sensing Techniques for Oil Spill Monitoring in Offshore Oil and Gas Exploration and Exploitation Activities[J].Petroleum Exploration and Development,2007,34(3):378-383.[于五一,李进,邵芸,等.海上油气勘探开发中的溢油遥感监测技术[J].石油勘探与开发,2007,34(3):378-383.]
[5]Liang Xiaoyi,Zhang Jie,Meng Junmin.Selection Texture Ch-aracteristics in Classifying Oil Spill SAR Images[J].Advances in Marine Science,2007,25(3):346-354.[梁小祎,张杰,孟俊敏.溢油SAR图像分类中的纹理特征选择[J].海洋科学进展,2007,25(3)346-354.]
[6]Zhang Yongning,Ding Qian,Li Qijun.A Study on Monitoring of Oil Spill at Sea by Satellite Remote Sensing[J].Journal of Dalian Maritime University,1999,25(3):1-5.[张永宁,丁倩,李栖筠.海上溢油污染遥感监测的研究[J].大连海事大学学报,1999,25(3):1-5.]
[7]Lin Bin,An Jubai.Study on Detection Method of Spilled Oil at Sea by ANN of Laser Remote Sensor[J].Marine Environmental Science,2004,23(1):47-49.[林彬,安居白.海面溢油油种激光遥感ANN探测方法的研究[J].海洋环境科学,2004,23(1):47-49.]
[8]Finas M F,Brown C E.Review of Oil Spill Remote Sensing[J].Spill Science & Technology Bulletin,1997,4(4):199-208.
[9]Fingas M F.A Literature Review of the Physics and Predictive Modeling of Oil Spill Evaporation[J].Journal of Hazardous Materials,1995,42:157-175.
[10]Otremba Z,Piskozub J.Modelling of the Optical Contrast of an Oil Film on a Sea Surface[J].Optics Express 411,2001,9:8.
[11]Liu Xingquan,Su Weiguang,Su Zhenfen.Marine Oil Spill Based on SAR Image Extraction Method[J].Heilongjiang Science and Technology Information,2008,(22):56-57.[刘兴权,苏伟光,苏振奋.基于SAR图像的海洋溢油提取方法研究[J].黑龙江科技信息,2008,(22):56-57.]
[12]Cheng Yijie.The Bohai Sea and Yellow Sea North of the Basic Characteristics of Hydrological Elements[J].China Science and Technology Information,2006,17:40-41.[程宜杰.渤海及黄海北部水文要素的基本特征[J].中国科技信息,2006,17:40-41.]
[13]Fingas M F ,Brown C E,Mullin J V,The Visibility Limits of Oil on Water and Remote Sensing Thickness Detection Limits[M].Environmenttal Research Institute of Michigan,Ann Arbor,Michigan,1998,411-418.
[14]Li Sihai.Marine Oil Spill Remote Sensing Monitoring Progress of Technology and Its Spplications[J].Remote Densing Information,2004,2:53-57.[李四海.海上溢油遥感监测技术及其应用进展[J].遥感信息,2004,2:53-57.]
[15]Xiong Wencheng,Wu chuanqing.Oil Spill Detection with SAR in South Koreas Oil Leak[J].Remote Sensing Technology and Application,2008,23(4):410-413;[熊文成,吴传庆.SAR图像在韩国溢油监测中的应用[J].遥感技术与应用,2008,23(4):410-413.]

 

[1] 王卷乐, 程凯, 边玲玲, 韩雪华, 王明明. 面向SDGs和美丽中国评价的地球大数据集成框架与关键技术[J]. 遥感技术与应用, 2018, 33(5): 775-783.
[2] 王恺宁,王修信,黄凤荣,罗涟玲. 喀斯特城市地表温度遥感反演算法比较[J]. 遥感技术与应用, 2018, 33(5): 803-810.
[3] 张晓峰,吕晓琪,张信雪,张继凯,王月明,谷宇,樊宇. 多时刻海色遥感数据融合及其可视化[J]. 遥感技术与应用, 2018, 33(5): 873-880.
[4] 谢旭,陈芸芝. 基于PSO-RBF神经网络模型反演闽江下游水体悬浮物浓度[J]. 遥感技术与应用, 2018, 33(5): 900-907.
[5] 迟文峰,匡文慧,贾静,刘正佳. 京津风沙源治理工程区LUCC及土壤风蚀强度动态遥感监测研究[J]. 遥感技术与应用, 2018, 33(5): 965-974.
[6] 胡云锋,商令杰,张千力,王召海. 基于GEE平台的1990年以来北京市土地变化格局及驱动机制分析[J]. 遥感技术与应用, 2018, 33(4): 573-583.
[7] 李晨伟,张瑞丝,张竹桐,曾敏 . 基于多源遥感数据的构造解译与分析—以西藏察隅吉太曲流域为例[J]. 遥感技术与应用, 2018, 33(4): 657-665.
[8] 李生生,王广军,梁四海,彭红明,董高峰,罗银飞. 基于Landsat-8 OLI数据的青海湖水体边界自动提取[J]. 遥感技术与应用, 2018, 33(4): 666-675.
[9] 廖凯涛,齐述华,王成,王点. 结合GLAS和TM卫星数据的江西省森林高度和生物量制图[J]. 遥感技术与应用, 2018, 33(4): 713-720.
[10] 张震,刘时银,魏俊锋,蒋宗立. 1974~2012年珠穆朗玛峰地区冰川物质平衡遥感监测研究[J]. 遥感技术与应用, 2018, 33(4): 731-740.
[11] 王琳,徐涵秋,李胜. 重钢重工业区迁移对区域生态的影响研究[J]. 遥感技术与应用, 2018, 33(3): 387-397.
[12] 任浙豪,周坚华. 增大特征空间复杂度的方法——以城镇下垫面遥感分类为[J]. 遥感技术与应用, 2018, 33(3): 408-417.
[13] 王宝刚,晋锐,赵泽斌,亢健. 被动微波遥感在地表冻融监测中的应用研究进展[J]. 遥感技术与应用, 2018, 33(2): 193-201.
[14] 秦振涛,杨茹,张靖,杨武年. 基于聚类结构自适应稀疏表示的高光谱遥感图像修复研究[J]. 遥感技术与应用, 2018, 33(2): 212-215.
[15] 郭宇柏,卓莉,陶海燕,曹晶晶,王芳. 基于空谱初始化的非负矩阵光谱混合像元盲分解[J]. 遥感技术与应用, 2018, 33(2): 216-226.