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

Xiaoyu Zhang; Xianqiang He; Delu Pan

doi:10.1117/12.619733

12 May 2005 Forecast and real time monitor of algal bloom in Chinese coast using MODIS ocean color imagery

Xiaoyu Zhang, Xianqiang He, Delu Pan

Proceedings Volume 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies; (2005) https://doi.org/10.1117/12.619733
Event: Optical Technologies for Atmospheric, Ocean, and Environmental Studies, 2004, Beijing, China

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.

Citation Download Citation

Xiaoyu Zhang, Xianqiang He, and Delu Pan "Forecast and real time monitor of algal bloom in Chinese coast using MODIS ocean color imagery", Proc. SPIE 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies, (12 May 2005); https://doi.org/10.1117/12.619733

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