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International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem

2015, GRMSE 2015: Geo-Informatics in Resource Management and Sustainable Ecosystem pp 345–356Cite as

Dynamic Analysis of Oil Spill in Yangtze Estuary with HJ-1 Imagery

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 569))

Abstract

This study was conducted to monitor oil spill changes in Yangtze estuary and to analyze their dynamic distribution by using HJ-1 charge-coupled device (CCD) imagery. First, the spectral response curve of the oil and other typical objects were analyzed to build the spectral feature space. Second, the classification algorithm of the polynomial kernel-based support vector machine (SVM) was studied to extract various levels of oil spill information including severe pollution, moderate pollution, and slight pollution. Third, the performance of the classification model was validated by comparison with other traditional approaches and the ground investigation data supported by the Shanghai Environmental Science Research Institute. Fourth, multi-temporal HJ-1 images were used to implement the classification with the polynomial kernel-based SVM algorithm. Finally, the oil-covered areas were calculated, the changes in spatial distribution were analyzed on the basis of the extracted results, and a statistical histogram was obtained. The results prove that the polynomial kernel-based SVM classification model has high accuracy with reliable performance for oil spill extraction. In addition, the dynamic analysis can be used to predict drifting trends and to provide important information for oil spill emergency response teams. Moreover, the HJ-1 satellite data can be applied to environmental monitoring.

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Acknowledgments

This study is a part of research project “Shanghai Innovation Action Plan” supported by Science and Technology Commission of Shanghai Municipality (STCSM) (Project ID: 13231203601). The environmental monitoring data was provided by the Environmental Science Research Institute of Shanghai and the HJ-1 satellite data was obtained from the China Centre for Resources Satellite Data and Application.

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Authors and Affiliations

  1. College of Surveying and Geo-informatics, Tongji University, Shanghai, 200092, China

    Yi Lin, Jie Yu, Yuguan Zhang, Pengyu Wang & Zhanglin Ye

  2. Research Center of Remote Sensing and Spatial Information Technology, Tongji University, Shanghai, 200092, China

    Yi Lin, Jie Yu, Yuguan Zhang, Pengyu Wang & Zhanglin Ye

Authors
  1. Yi Lin
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  2. Jie Yu
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  3. Yuguan Zhang
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  4. Pengyu Wang
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  5. Zhanglin Ye
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Corresponding author

Correspondence to Yi Lin .

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Editors and Affiliations

  1. Wuhan University , Wuhan, China

    Fuling Bian

  2. Eastern Michigan University , Ypsilanti, China

    Yichun Xie

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Lin, Y., Yu, J., Zhang, Y., Wang, P., Ye, Z. (2016). Dynamic Analysis of Oil Spill in Yangtze Estuary with HJ-1 Imagery. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_35

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  • DOI: https://doi.org/10.1007/978-3-662-49155-3_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49154-6

  • Online ISBN: 978-3-662-49155-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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