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2 September 2019 Development of Green Tide Monitoring with Satellite Images
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Abstract

Wang, R.F.; Zhang, Y.; Li, J.G.; Zhao, W.; Wang, F.Z.; Cao, H.J., and Duan, Y.P., 2019. Development of green tide monitoring with satellite images. In: Jung, H.-S.; Lee, S.; Ryu, J.-H., and Cui, T. (eds.), Advances in Remote Sensing and Geoscience Information Systems of Coastal Environments. Journal of Coastal Research, Special Issue No. 90, pp. 104-111. Coconut Creek (Florida), ISSN 0749-0208.

Since the large-scale bloom in 2008, green tide, as a marine natural disaster, happens every year along the coast of Qingdao. It brings huge economic losses to society every year. Therefore, it is urgent to monitor the green tide in real time to obtain its dynamic information. Generally, researches on green tide are mainly focused on the coverage area. For Operational Application of Disaster Emergency Response, the influence range of the green tide is what people is concerned about. The influence range of the green tide can not only give information about the gaps between small green tide patches but also show the trend of development of greed tide. The research is mainly about the influence range of the green tide. An algorithm is designed for extracting the green tide distribution boundaries automatically. Principle of the algorithm is based on mathematical morphology dilation/erosion operation. This paper mainly improves in the following aspects: the partition of the green tide blocks, the accurate and efficient extraction of the distribution range and distribution contour of the green tide, and the filtering of the island. Since green tide mainly bursts along the Qingdao Coast and there is no established system so far, a system for monitoring green tides is established. On the basis of IDL/GIS secondary development technology, the system integrated environment of RS and GIS. It can be used for remote sensing monitoring and information extraction. Optical sensor data and microwave sensor data are used in this system. Special processing flow and algorithms for extracting information are designed based on the different characteristics of these data. Without using this system, a complete data process from beginning to ending needs 2 hours, but it can be finished in 10-15 minutes now in this system. The system runs smoothly and successfully in the State Oceanic Administration for three years till now.

©Coastal Education and Research Foundation, Inc. 2019
Rui-Fu Wang, Ya Zhang, Jia-Gui Li, Wei Zhao, Fang-Zheng Wang, Hong-Jun Cao, and Ya-Ping Duan "Development of Green Tide Monitoring with Satellite Images," Journal of Coastal Research 90(sp1), 104-111, (2 September 2019). https://doi.org/10.2112/SI90-013.1
Received: 6 January 2019; Accepted: 19 March 2019; Published: 2 September 2019
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