¹Geomatics College, ShanDong University of Science and Technology, Qingdao 266510, China
²Key Laboratory of Surveying and Mapping Technology on Island and Reef, SBSM, China
³North China Sea Marine Forecasting Center of State Oceanic Administration

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Abstract—With the rapid development of the oil industry and oil transportation, oil well blowout and marine oil spill accidents ca·used a lot of environmental damage in recent years, so there is a growing demand for oil spill disaster emergency response. It is difficult to monitor oil spill by conventional ways in real time due to the large range of oil spill, so remote sensing technology becomes the most effective means for oil spill monitoring, and as a spatial information processing means, GIS can extract oil spill monitoring information and make the products in a way of assembly line. But remote sensing image processing and GIS spatial analysis involve two separate disciplines. They relate to different softwares or complex operations, and the users should be trained in professional knowledge. This article introduces how to integrate the remote sensing functions and GIS platforms seamlessly. Based on GIS, we establish the operational monitoring system on marine oil spill, which realizes monitoring data processing, information extraction, product outputting, probability statistics and brief publishing etc. This article mainly solves how to package RS algorithm library and organize data. Also, it aggregates mass irregular oil spill spots and smoothens the target in a new way, and analyzes the ocean flow field. We design a simple and automatic processing procedure which is called one-key processing, and oil spill monitoring works more effectively and accurately in this way. The system is on trail in the operations department and reaches the level of operational application.

Index Terms—algorithm package；monitoring of marine oil spill；probability statistics; operation production

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Cite: Ruifu Wang, Maojing Xu, Yi Ding, Nannan Liu, Xiangchao Kong, "The Development of Marine Oil Spill Operational System Based on GIS," Journal of Software vol. 9, no. 8, pp. 2050-2055, 2014.