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Proceedings Paper

Demonstration of coastline dynamic remote sensing monitoring system construction and its application
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Paper Abstract

Remote sensing is an indispensable means for coastal band monitoring. Using satellite remote sensing data to monitor coastline variation and to analysis the eroding, depositing features and evolution process will be of great significance for the river mouth regulation, river course planning, coastal protective project program and trend prediction of coastal evolution. So, it is necessary to establish a coastline dynamic monitoring system. The system is mainly based on remote sensing and spatial information analysis techniques. In this paper, the system framework, design methodology and system functions are described in detail. The key techniques and methods involved in the system construction are particularly discussed, and they include the data preprocessing techniques, such as cloud identification and geometry fine correction, multi-scale coast edge extracting algorithm based on MRF model and coastline tide correction model with measured data or numerical simulation result as input, and coastline dynamic analysis method based on time series analysis and spatial topological analysis. Finally, an example to apply the system to the Yellow River mouth delta is given and the process flow diagram and procedures are described. The comparison of monitoring results with manually interpreted results has verified the favorable effect of the system.

Paper Details

Date Published: 8 May 2003
PDF: 10 pages
Proc. SPIE 4892, Ocean Remote Sensing and Applications, (8 May 2003); doi: 10.1117/12.466797
Show Author Affiliations
Ling Sun, Institute of Oceanology (China)
First Institute of Oceanography, SOA (China)
Hanying Yang, Institute of Electronic Technique Application (China)
Pingjian Song, First Institute of Oceanography, SOA (China)
Ruifu Wang, First Institute of Oceanography, SOA (China)
Jie Zhang, First Institute of Oceanography, SOA (China)
Key Lab. of Marine Science and Numerical Modeling, SOA (China)


Published in SPIE Proceedings Vol. 4892:
Ocean Remote Sensing and Applications
Robert J. Frouin; Yeli Yuan; Hiroshi Kawamura, Editor(s)

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