Operational approach for oil spill monitoring

Gutemberg Borges Franca; Luiz Landau; Audalio Rebelo Tores Jr.; Jose A. L. Drumond; Mauricio R. Fragoso; Ricardo C. De Almeida; Gerson G. Cunha; Enrico C. Pedroso; Carlos H. Beisl

doi:10.1117/12.466078

8 May 2003 Operational approach for oil spill monitoring

Gutemberg Borges Franca, Luiz Landau, Audalio Rebelo Tores Jr., Jose A. L. Drumond, Mauricio R. Fragoso, Ricardo C. De Almeida, Gerson G. Cunha, Enrico C. Pedroso, Carlos H. Beisl

Author Affiliations +

Proceedings Volume 4892, Ocean Remote Sensing and Applications; (2003) https://doi.org/10.1117/12.466078
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

This paper presents the methodological approach of the oil spill monitoring system that is being put into operation by the National Petroleum Agency (NPA) in Brazil. The methodology is based on integrated analysis of multi-sensor data which includes satellites products, such as, GOES and AVHRR Sea Surface Temperature (SST), SeaWiFs chlorophyll concentration, QuikScat near sea surface wind field, GOES and AVHRR convective rain areas, and Synthetic Aperture RADAR (SAR) data from RADARSAT-1 satellite. The methodology is implemented by means of a system composed by four subsystems called, data reception (SAR, GOES, NOAA and QuikScat), Integrator, hydrodynamic model and database. The methodology was applied to the accidental oil spill caused by PETROBRAS oil rig P-36. A RADARSAT-1 image was acquired during accident period at 21:07 (GMT) on 22nd of March 2001 and used. The results are presented and discussed.

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Gutemberg Borges Franca, Luiz Landau, Audalio Rebelo Tores Jr., Jose A. L. Drumond, Mauricio R. Fragoso, Ricardo C. De Almeida, Gerson G. Cunha, Enrico C. Pedroso, and Carlos H. Beisl "Operational approach for oil spill monitoring", Proc. SPIE 4892, Ocean Remote Sensing and Applications, (8 May 2003); https://doi.org/10.1117/12.466078

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KEYWORDS

Synthetic aperture radar

Data modeling

Satellites

Atmospheric modeling

Databases

Environmental sensing

Backscatter

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