Estimation of suspended sediment concentration in rivers utilizing principal components analysis with ETM+ data

Jiping Liu; Keqing Zhang; Jiangtao Tian

doi:10.1117/12.467410

16 June 2003 Estimation of suspended sediment concentration in rivers utilizing principle components analysis with ETM+ data

Jiping Liu, Keqing Zhang, Jiangtao Tian

Author Affiliations +

Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.467410
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Principle Component Analysis (PCA) is first applied to the optical spectral bands of ETM+ to estimate Suspended Sediment Concentration (SSC). The rationality is analyzed for employing band 1,2,3 to monitor SSC and the limitation of single band is discussed. Based on the spectral feature space images (scatter diagram) of the three bands, we provide the approach of estimation of SSC utilizing PCA. Case study shows that the first and the second principle components are suitable to estimate SSC. Especially the first principle component is a potential variable for the fine estimation of SSC.

Citation Download Citation

Jiping Liu, Keqing Zhang, and Jiangtao Tian "Estimation of suspended sediment concentration in rivers utilizing principle components analysis with ETM+ data", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); https://doi.org/10.1117/12.467410

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