Proceedings Paper
Study on inversion model for the suspended sediment concentration in the Pear River delta using remote sensing technology| Format | Member Price | Non-Member Price |
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Paper Abstract
On the basis of quantitative remote sensing theories, we measured the water samples of Pear River in the same zone
during the flood season and the dry season synchronously by spectrum instrument and traditional way, and made sure the
correlation of the data simultaneously, then worked out the remote sensing reflectance for TM imagery relevant to the
spectrum instrument. The suspended sediment concentration was determined by hydrologic observation site. Eight kinds
of experiment models are derived from the correlation of the reflectance and the concentration .It is concluded that the
spectrum of TM3 measured during flood season correlates best with suspended sediment concentration; And the ratio of
TM3 to TM2 has the best correlation with the concentration beyond the flood season. Based on the results, the results of
models correspondingly with each season are better.
Paper Details
Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71451Y (3 November 2008); doi: 10.1117/12.813052
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71451Y (3 November 2008); doi: 10.1117/12.813052
Show Author Affiliations
Kaiwen Zhong, Guangzhou Institute of Geography (China)
Xulong Liu, Guangzhou Institute of Geography (China)
Xulong Liu, Guangzhou Institute of Geography (China)
Liang Xie, Guangzhou Institute of Geochemistry (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Cai-ge Sun, Guangzhou Institute of Geochemistry (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Cai-ge Sun, Guangzhou Institute of Geochemistry (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
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