engleski

Development of the sustainable system for the airborne oil spills detection at sea and for validation of the early warning satellite service based on SAR data

The contamination of the Mediterranean Sea and the Adriatic Sea by the oil spills is a very serious threat to their ecology. This problem was recognized by many authors and institutions and the attention was expressed in order to estimate and assess its scale. The establishment and the deployment of the European system for the satellite oil spills detection at sea (CleanSeaNet) in 2007 enabled Coastal States to receive early warning about possible oil spill within declared 30 minutes after satellite overpass which allows timely reaction for necessary airborne/vessel verification. Initiative started in the year 2005 and in 2007 Croatian Ministry of the science, education and sports decided to support a technological project that deals with the airborne detection of the oil spills. The airborne multisensor system was developed and realized in the frame of the project, its aim is to provide the airborne civil service of the reconnaissance and the surveillance in the crisis situations and the protection of environment. This remote sensing system applies five electro optical sensors, the positioning and the orientation subsystem, the digital acquisition of the imagery and the data. The main sensor is a hyperspectral scanner that operates in the visible and near infrared wavelengths, provided by measurement of the insolation. A long wave thermal infrared camera is in a sensors’ set too. The calibration of the system is accomplished and preparations for trials on the sea are under way. Possibility to include airborne hyperspectral oil spills detection, its mapping and estimation of the relative depth into the chain of evidences, together with the combination of the early warning satellite based oil spill detection and information from the automatic identification system (AIS) will be tested in 2008.

Adriatic Sea; oil; pollution; hyperspectral; airborne; detection; mapping; SAR; CleanSeaNet

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