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Proceedings Paper

Retrieval of cyanobacteria in Taihu based on MODIS data
Author(s): Xiu-zhen Han; Pi-fu Cong; Yu-chu Qin; Xiaoxiang Zhu
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Paper Abstract

In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However, further exploration is needed regarding the optimization of model parameters and determination of threshold levels.

Paper Details

Date Published: 24 November 2008
PDF: 7 pages
Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 71230Y (24 November 2008); doi: 10.1117/12.816195
Show Author Affiliations
Xiu-zhen Han, National Satellite Meteorological Ctr. (China)
Pi-fu Cong, National Marine Environment Monitoring Ctr. (China)
Yu-chu Qin, Institute of Remote Sensing Applications (China)
Xiaoxiang Zhu, National Satellite Meteorological Ctr. (China)

Published in SPIE Proceedings Vol. 7123:
Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China
Qingxi Tong, Editor(s)

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