A Survey on the Siltation Motoring Database for Ultra-Large Reservoir Area

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Abstract:

Based on the data source of CBERS-02B satellite, approaches such as computer density segmentation and statistical processing can be used first in combination with the research of water front monitoring in the ultra-large reservoir area, and then with Gray relevancy grade on water-depth monitoring. In line with the above, a suitable set of research plans on the siltation monitoring have been made including technical route and test methods.

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104-106

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September 2012

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[1] http: /finance. sina. com. cn/roll/20020322/183654. html.

Google Scholar

[2] Liu Jianbo et al. The Application of TM Image in Reservoir Situation Monitoring. Remote Sensing of Environment China, 1996. 2.

Google Scholar

[3] Dai Changxuan et al. The Information Characteristics of Thematic Mapper Data and the Optimal Band Combination. Remote Sensing of Environment China, 1989. 4.

Google Scholar

[4] Liu Sifeng et al . An Introduction to Grey Systems (2nd edition) [M]. Beijing: Science Press,(1999).

Google Scholar

[5] Yu Jie et al. Research on Coastline Change of Daya Bay Using Remote Sensing Technology. Remote Semsing Information, 2009. 8.

Google Scholar

[6] Ma Xiaofeng et al. Means of Withdrawing Coastline by Remote Sensing. Remote Semsing Information, 2007. 8.

Google Scholar

[7] Wu Yongsen et al. The Satellite Investigation on the 2006 Water Area and Coastline Length of the Jiaozhou Bay and Their Historical Evolution. Coastal Engineering, 2008. 9.

Google Scholar

[8] http: /www. cresda. com/n16/index. html.

Google Scholar

[9] Wang Jingjing et al. A Research on Coastal Bathymetry Retrieval f rom TM Image. Remote Semsing Information, 2006. 6.

Google Scholar

[10] Huang Jiazhu et al. Experiment of water depth surveying in the Nantong section of the Yangtze River. Advances in Water Science . 2002. 3.

Google Scholar

[11] Shen Fang et al. Remote Sensing Investigation and Survey of Qinghai Lake in the Past 25 Years. Journal of Lake Science . 2003. 12.

Google Scholar