Paper
2 October 2008 Extracting chlorophyll concentration of water body based on spectral unmixing model
Author Affiliations +
Proceedings Volume 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X; 710417 (2008) https://doi.org/10.1117/12.798535
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
Remote sensing (RS) data can be used to estimate the chlorophyll-a concentration of water body, which has become a key issue of water quality monitoring. In this paper the field water reflectance spectra have been measured and used for monitoring the water quality of Taihu Lake according to reflectance spectra of water varying with concentrations. After analyzing the spectra characters, the optimal band range (670-710nm) were selected and the chlorophyll-a concentration by linear spectral unmixing model were retrieved using known water and chlorophyll-a endmember spectra of in situ samples. TM and MODIS image was processed and the distribution of chlorophyll-a concentration was retrieved by linear spectral unmixing method. The result showed that a fine linear correlation existed between the abundance of chlorophyll-a from the spectral unmixing model and the concentration of chlorophyll-a from the analytical result in the laboratory, and also shows that spectral unmxing model is a feasible model in the practical application for water quality monitoring.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiuju Wu and Qian Cheng "Extracting chlorophyll concentration of water body based on spectral unmixing model", Proc. SPIE 7104, Remote Sensing for Agriculture, Ecosystems, and Hydrology X, 710417 (2 October 2008); https://doi.org/10.1117/12.798535
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KEYWORDS
Reflectivity

Remote sensing

Spectral models

MODIS

Data modeling

Image processing

Statistical analysis

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