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| | Abstract | | This project introduces a new approach for utilizing satellite data for oil-slick detection with automatically selected weather compliant satellite-borne Synthetic Aperture Radar -SAR- data. SAR imagery is well adapted to detected ocean surface features independently from daily or weather condition. The concept of the project consists of two segments. The first segment, principal element of the system, contains automatic screening algorithms based upon weather and sea state conditions for weather compliant SAR data using global weather and wave data. This function has been applied on ALOS/PALSAR archives and is confirmed to perform with efficient result. The second segment consists of oil slick candidate interpretation function assisted by computer GUI system with storage function for interpreted slick candidates and corresponded images. The system can be applied not only ALOS/PALSAR but also other satellite image data to select weather compliant data for the seepage oil slick mapping. It may also to expand tracking and estimating moving direction and speed of oil spill as well. |
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