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| | Abstract | | This work introduces a new approach for utilizing satellite data for oil-slick detection with automatically selected weather compliant satellite-borne SAR data. Satellite-borne SAR is well adapted to detected ocean surface features independently from daily or weather condition. The concept of the work involves two segments. The first segment, principal element of the system, contains automatic screening algorithms for weather compliant SAR data using global weather and sea state hind-cast data. The second segment consists of slick candidate interpretation assisted by computer system and database for interpreted slick candidates and images which slicks can be observed on it. The algorithm of the first segment has been applied on ALOS PALSAR image catalogue database with global hind-cast data set. It yields good screening results in test areas. Functions of the prototype system which was evaluated and clarified essential specifications were enough performance for initial operation. The system will allow us to reduce workload drastically, particularly on weather compliant data screening stage, during slick mapping projects. The system can be applied all other satellite image data to select weather compliant data for the seepage oil mapping as well as to expand tracking and estimating moving direction and speed of oil spill using weather and sea state forecast model. |
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