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Proceedings Paper

Estimation of suspended sediment concentration in rivers utilizing principal components analysis with ETM+ data
Author(s): Jiping Liu; Keqing Zhang; Jiangtao Tian
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Paper 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.

Paper Details

Date Published: 16 June 2003
PDF: 4 pages
Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); doi: 10.1117/12.467410
Show Author Affiliations
Jiping Liu, Huazhong Univ. of Science and Technology (China)
Keqing Zhang, China Univ. of Geoscience (China)
Jiangtao Tian, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4897:
Multispectral and Hyperspectral Remote Sensing Instruments and Applications
Allen M. Larar; Qingxi Tong; Makoto Suzuki, Editor(s)

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