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A MAGIS-based Global Sea Level Analysis
Xin Qiao, Caiyun Zhang, Chaoyang Fang, Ge Chen Ocean Remote Sensing Institute, Ocean University of China Qingdao, Shandong, China, 266003 Preface As a powerful tool in storage, processing, analysis and representation of geospatial information, Geographical Information System (GIS) has been applied in marine field by research institutes, government agencies and private sectors all over the world, and evolved to a series of Marine Geographical Information System (MGIS)[1] since 1980s, especially the last decade. The rapid adoption of the GIS technology and the increasing number of science needs contribute greatly to the advancement of MGIS [2]. But up to now, there isn’t much progress in MGIS research and development due to the multi-dimensionality and dynamic nature of the ocean environment, which is different from the land. On the other hand, as an important data source of marine and atmospheric research, satellite supplies a brand-new dataset that has large-scale coverage, ideal spatio-temporal resolution, and contains many marine and atmospheric parameters [3]. So it’s necessary to develop a marine GIS software which is specially aimed at the marine and atmospheric research works based on the huge satellite remote sensing dataset. There are two key reasons that the global oceans and atmosphere are selected as the research object of MAGIS: ?.Oceans and atmosphere are two coupling systems with close connection; ?.Both of them are multidimensional and dynamic fluid systems, which means that the data properties, analysis and representation of them have many similarities. So, this study is proposed to design and develop a GIS software based on remote sensing data ---- MAGIS[4]. 1 Overall framework of the system MAGIS is a GIS software which is designed to complete the data management, spatio-temporal analysis and visualization of marine and atmospheric remote sensing information. It is a seamless integration of three modules: data management, spatio-temporal analysis and visualization, as figure 1 shows.  Fig. 1 Functions of MAGIS (shadowed boxes are under construction) 2 Workflow of the system Figure 2 is the workflow of MAGIS. It could be viewed as a process in which three modules manage and process kinds of “data”. MAGIS supplies two operation modes: menu-driven and Science Work Flow (SWF) driven. The data operation could only be executed step by step in menu-driven mode, while it could be executed automatically and continuously in SWF mode. Figure 3 is the interfaces of the system. Spatio-temporal interface and visualization interface are menu-driven, and data management function is also included in three interfaces.  Fig. 2 Workflow of MAGIS  Fig. 3 Typical interfaces of MAGIS
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