KEYWORDS: Geographic information systems, Oceanography, Data modeling, Water, Analytical research, Physical oceanography, Data analysis, Data acquisition, Data processing, Satellites
With rapid development of GIS techniques, GIS techniques have come into applied period in the field of natural science and other application fields. Because of complex marine structure with many dynamic changes, tight relationship among factors in body of water, fuzzy boundary and unintuitive structure character, it is especially difficult to apply GIS to the field of ocean science. Beginning with the ocean current GIS analysis, this paper tries to develop GIS application study of oceanography. It is evident that the first problem needing to be solved is GIS expression of current field. Therefore, main information types of ocean current data that many physical oceanography scientists are using are collected. Firstly, five expression of current field commonly used in physical oceanography are: section vector expression of average current speed, component expression of current field in large area, time series expression of fixed point and expression of current path. The main work of this paper is to give corresponding GIS expression respectively according to the above expressions of ocean current. Based on the above work, corresponding GIS operational cases are given to further prove the feasibility of GIS expressions of current field. Finally, the conclusions and further work are suggested.
Theory of belt-oriented RADON transform is developed, and applied to extracting features from high-resolution remote sense images. By several typical experiments it is proved that belt-oriented Radon transform is powerful in extracting belt features, but Radon transform (line-oriented Radon transform called by author) is unavailable.
The red tide spectrum database is the basis and prerequisite for red tide hyperspectral remote sensing, a technical support for the field investigation on red tide and the main technical measure for red tide data management and application. The data in the database mentioned in this paper come mainly from the red tide mesocosm experiment, and include the simultaneously collected biological, chemical, hydrographic and meteorological data besides the spectrum data of red tide dominant species. The database has not only the conventional functions for data query, retrieval and plotting, but also the algorithmic functions for the ground object spectrum data processing in the Visual FoxPro system environment and the biological information extraction using the ground object spectrum data.
This system is not only an effective application system for detecting the red tide organism, identifying the red tide dominant species and analyzing the characteristic amount of red tide organism, but also a powerful tool for the marine environmental protection and the red tide disaster reduction in the future.
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