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Proceedings Paper

Forecast and real time monitor of algal bloom in Chinese coast using MODIS ocean color imagery
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Paper Abstract

Over the past two decades algal blooms appear to have increased in frequency intensity and geographic distribution. Algal blooms have caused harmful effects on the marine ecological balance even to human health. Monitor programs especially trending toward including continuous data collection by in situ detectors for example remote sensing is in emergently demand. In this research NDVI imagery obtained from MODIS satellite data combined with SST and chl-a proved to be a sensitive measure of phytoplankton amount providing a means of improving the detection and delineation of algal blooms.

Paper Details

Date Published: 12 May 2005
PDF: 9 pages
Proc. SPIE 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies, (12 May 2005); doi: 10.1117/12.619733
Show Author Affiliations
Xiaoyu Zhang, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Zhejiang Univ. (China)
Xianqiang He, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Delu Pan, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)


Published in SPIE Proceedings Vol. 5832:
Optical Technologies for Atmospheric, Ocean, and Environmental Studies
Daren Lu; Gennadii G. Matvienko, Editor(s)

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