Satellite image processing and analyzing for marine oil spills

Ying Li; Shuiming Yu; Long Ma; Yu Liu; Qijun Li

doi:10.1117/12.812988

3 November 2008 Satellite image processing and analyzing for marine oil spills

Ying Li, Shuiming Yu, Long Ma, Yu Liu, Qijun Li

Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71450C (2008) https://doi.org/10.1117/12.812988
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Oil spills are seriously affecting marine ecosystem and cause political and scientific concern. In order to implement an emergency in case of oil spills, it is necessary to monitor oil spill using remote sensing. Techniques for monitoring oil spills includes optical, microwave, and radar approaches using aircraft or satellites. However, Satellites have wider coverage and lower price. Recent years, with more sensors launching, correctness and real time of oil spills monitoring using satellites are improved. Based on many successful experiences in oil spills monitoring, sensitivities of different bands to different oil types are analyzed using AVHRR and TM data, and methodologies to extract oil spills information, especial oil thickness, are presented. In addition, with regard to requirements of customers, position, area, drifting trajectory and velocity can be calculated, which supports marine oil spill fast emergency response effectively. It is believed that it is possible to establish an oil spill monitoring network using satellite covering main sea area in China.

Citation Download Citation

Ying Li, Shuiming Yu, Long Ma, Yu Liu, and Qijun Li "Satellite image processing and analyzing for marine oil spills", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71450C (3 November 2008); https://doi.org/10.1117/12.812988

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