
Proceedings Paper
Natural marine oil seepage detection and evaluation with SARFormat | Member Price | Non-Member Price |
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Paper Abstract
Remote sensing technique provides an important way for screening oil seepage distribution areas in the early stage of
marine petroleum exploration. This paper focuses on the studying of the evaluation method of natural marine seepage
slick credibility by using ERS-1/2 SAR and ENVISAT ASAR data. The research is roughly divided into four main steps.
Firstly, potential oil slicks are extracted from all images. Next, all oil slicks detected are further classified into several
categories according to seepage slick credibility. The obtained oil slick information was then integrated into GIS
database to examine the spatial distribution of oil seepage slick. Finally, the paper discusses the present problem on
evaluating method. The result shows the potential capability of natural marine oil seepage detection with remote sensing
technique for its advantage of low-cost and regional observation.
Paper Details
Date Published: 3 November 2010
PDF: 6 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78411L (3 November 2010); doi: 10.1117/12.873275
Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)
PDF: 6 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78411L (3 November 2010); doi: 10.1117/12.873275
Show Author Affiliations
Yang Liu, Institute of Remote Sensing Applications (China)
PetroChina (China)
Yun Shao, Institute of Remote Sensing Applications (China)
Xiaoping Qi, PetroChina (China)
PetroChina (China)
Yun Shao, Institute of Remote Sensing Applications (China)
Xiaoping Qi, PetroChina (China)
Wei Tian, Institute of Remote Sensing Applications (China)
Baihong Wen, PetroChina (China)
Baihong Wen, PetroChina (China)
Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)
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