Development and validation of a multisensor system for ocean pollution detection

Ignasi Navas; Marc Bara; Pau Prats; Antoni Broquetas; Stephane Charron; Francois Cabioch; Ronan Jezequel

doi:10.1117/12.453666

23 January 2002 Development and validation of a multisensor system for ocean pollution detection

Ignasi Navas, Marc Bara, Pau Prats, Antoni Broquetas, Stephane Charron, Francois Cabioch, Ronan Jezequel

Proceedings Volume 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology; (2002) https://doi.org/10.1117/12.453666
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

The increase in maritime traffic has caused an increment on the risk of accidents that can damage the environment. In recent times, the efficiency on oil spill detection and monitoring with spaceborne systems has been demonstrated. It is however important to remark that satellite data must be complemented with other monitoring platforms and sensors, for better temporal coverage and for an improvement on detection and analysis of the spill. RAPSODI is an European project for the development of a new anti-pollution remote sensing system that results from the integration of airborne sensors: SAR, SLAR, IR, UV and a microwave radiometer and spaceborne data. One of the main operational goals of this project was a real size experiment in completely controlled situations and environment. In this campaign, heavy fuel oil was released and treated. This experiment has also allowed monitoring the efficiency of the dispersing products used by the oil spill response community. In this context, this paper describes the development of the airborne SAR mode optimized for oil spill detection, and the planning and first results of the experimentation campaign.

Citation Download Citation

Ignasi Navas, Marc Bara, Pau Prats, Antoni Broquetas, Stephane Charron, Francois Cabioch, and Ronan Jezequel "Development and validation of a multisensor system for ocean pollution detection", Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); https://doi.org/10.1117/12.453666

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