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RAPSODI

Fullname Remote Sensing Anti-pollution system for geographical data integration
Funding Source Other
Programme FP5
Total Cost 1 497K€
Start Date 01/01/2000
Duration 36 months
Status Completed
Coordinator
Contact Person Stephane CHARRON
Telephone Number +33-2-98312000
Website

Project abstract

Oil-spills regularly pollute maritime waters and coasts of western Europe year after year. The integration of data from aircraft and satellite sensors is an important aspect of any effort to abate such pollution damages. In addition strong co-operation between radar signal and image-processing researchers, radar designers and anti-pollution operators is targeted to build up additional know-how and to strengthen European understanding on image processing and interpretation for maritime oil-spills. In this framework, the RAPSODI project proposes to develop an airborne Synthetic Aperture Radar (SAR) remote sensing system, dedicated to oil-spill. This platform is based upon a technology developed as part of the AMED project.

The RAPSODI prototype will be developed in close co-operation between signal processing experts and pollution remediation experts. It will be tested in real-life conditions and, if event occurs, on real oil-spill emergency situation.

Objectives

To develop necessary knowledge and sensor specifications, and processing algorithms in order to address maritime oil-spill pollution monitoring in an emergency situation as well as in routine surveillance mode.

To propose a concept of an airborne system for maritime pollution surveillance missions to complement spaceborne imagery use.

To design a dedicated system that effectively contributes, to the necessary efforts against maritime pollution by developing detection, estimation and tracking functions, and taking advantage of the diversity and specificity of remote sensors which operate in maritime pollution missions.

This system will be developed and tested to support to operational clean-up actions, through sensor information integration, efficient man-machine interface and decision aids.

Description of work

Characterisation of radar parameter for airborne SAR application.

Access to raw data from the first experiment monitoring.

Airborne SAR images will be geo-referenced and algorithms will be developed using image segmentation for detection of supervised oil spills.

Decision and anti-pollution support will be implemented and first version of prototype is demonstrated.

The prototype will be tested using data recorded in real-life conditions, and possibly from real pollution.

List of partner organisations

4 partners

- Thales Systemes Aeroportes S.A.

- CONSORCI INSTITUT DE GEOMATICA

- Centre de Documentation de Recherche et d'Experimentation sur les Pollutions Accidentelles des Eaux

- European Commission - Joint Research Centre