Study On Information Extraction Of Oil Spill With Multi-source Remote Sensing Data

Oil spills in open waters are a subject of great concern to corporations, residents, and government agencies, which participate in oil exploration, production, and transportation in open waters regions recently. Oil, when spilled at sea, will normally break up and be dissipated or scattered into the marine environment, exert an negative economic and social consequences over time, in particular when the affected area involve important fisheries resources and tourist or recreational areas. Therefore, reducing the risk of oil spill disasters is essential for protecting the environment and reducing economic losses. Remote Sensing surveillance constitute an important component of oil spill disaster management, due to the multi-platforms, multi-temporal, multi-spatial, multi-spectral and multi-sensors of remote sensing data currently available for the selected region.Sensors can provide the following information for oil spill contingency planning: the location and spread of an oil spill over a large area, the thickness distribution of an oil spill to estimate the quantity of spilled oil, a classification of the oil type in order to estimate environmental damage and to take appropriate response activities, timely and valuable information to assist in clean-up operations. Remote sensing for detecting and monitoring oil spills include airborne remote sensing and satellite remote sensing. As to airborne remote sensing, it is characteristic of flexibility and maneuverability. However, it is expensive to be executed, and limited by spatial and territorial coverage. Compared with plane, satellite remote sensing can monitor extensive area with high temporal and provide a synoptic view of affected area, which is a typical used for oil spill surveillance.This paper focuses on a technique project of real-time oil spill information monitoring based on multi-sources satellite remote sensing. Based on the better understanding of the strengths and weaknesses of multi-oil spill monitoring sensors, depending on the advantage of the complementarities of multi-sources sensors, a technique project of oil spill monitoring based on the combination of multi-temporal, multi-spectral and multi-types satellite remote sensing data is proposed for synoptic-scale surveillance, which fully tap the advance potential of satellite remote sensing. The results show a rapid analysis and extraction of oil spill information, which is helpful to improve the response system and changes the contingency planning.