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Proceedings Paper

The research and the realization of remote sensing data sharing platform based on the satellite link
Author(s): Xiaohong Zhang; Maotang Li; Shile Hao; Haibo Yang
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Paper Abstract

The main objective of the "Remote sensing data sharing platform based on satellite link" is to realize the data sharing within different scientific research institutes of water resources. The platform takes full advantage of existing facilities and the shared data covers all the country and peripheral locality. It provides the important basis to the water resources department to monitor the flood and drought disaster, the water resources application, the pollution of water environmental, the soil erosion, the rivers vicissitude and the significant hydraulic engineering construction. It also provides the important information guarantee and equipment support of disaster prevention and reduction. This technique will not only improve the water resources information-based progress and the independent creative ability of water resources management of our country, but also overcome the disadvantageous situation of the data source lacks, data source not in time, providing non ideal product of data processing, purchasing data over-duplicate. While sharing the remote sensing information, we also do some research about fast gain of the remote sensing data from multiple sources, data processing and data fusion. This is a whole system which carries on a real-time monitor to the decision department. It will provide important scientific foundation to deal with any emergency.

Paper Details

Date Published: 26 July 2007
PDF: 8 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675243 (26 July 2007); doi: 10.1117/12.761317
Show Author Affiliations
Xiaohong Zhang, China Institute of Water Resources and Hydropower Research (China)
Maotang Li, China Institute of Water Resources and Hydropower Research (China)
Shile Hao, China Institute of Water Resources and Hydropower Research (China)
Haibo Yang, China Institute of Water Resources and Hydropower Research (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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