Study on inversion model for the suspended sediment concentration in the Pear River delta using remote sensing technology

Kaiwen Zhong; Xulong Liu; Liang Xie; Cai-ge Sun

doi:10.1117/12.813052

3 November 2008 Study on inversion model for the suspended sediment concentration in the Pear River delta using remote sensing technology

Kaiwen Zhong, Xulong Liu, Liang Xie, Cai-ge Sun

Author Affiliations +

Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71451Y (2008) https://doi.org/10.1117/12.813052
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Kaiwen Zhong, Xulong Liu, Liang Xie, and Cai-ge Sun "Study on inversion model for the suspended sediment concentration in the Pear River delta using remote sensing technology", 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); https://doi.org/10.1117/12.813052

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