Abstract
Phytoplankton distribution changes in the Ariake Sea areas, Japan based on remote sensing satellite data is studied. Through experiments with Terra and AQUA MODIS data derived chlorophyll-a concentration and suspended solid as well as truth data of chlorophyll-a concentration together with meteorological data and tidal data which are acquired 7 months from October 2012 to April 2013, it is found that strong correlation between the truth data of chlorophyll-a and MODIS derived chlorophyll-a concentrations with R square value ranges from 0.677 to 0.791. Also it is found that the relations between ocean wind speed and chlorophyll-a concentration as well as between tidal effects and chlorophyll-a concentration. Meanwhile, there is a relatively high correlation between sunshine duration a day and chlorophyll-a concentration.
Highlights
Due to red tide contaminations, water color is changed by an algal bloom
Preliminary study on phytoplankton distribution changes monitoring for the intensive study area of the Ariake Sea, Japan based on remote sensing satellite data is conducted
Phytoplankton distribution changes in the Ariake Sea areas, Japan based on remote sensing satellite data is studied
Summary
Due to red tide contaminations, water color is changed by an algal bloom. In accordance with increasing of phytoplankton concentration, sea surface color changes from blue to green as well as to red or brown depending on the majority of phytoplankton (Dierssen et al, 2006) so that it is capable to detect red tide using this color changes [1]. MODIS ocean color bands data is used for red tide detection. Learning approaches based on k-nearest neighbors, random forests and support vector machines have been proposed for red tide detection with Moderate Resolution Imaging Spectro-radiometer: MODIS satellite images (Weijian C.,et al.,2009) [6]. In case of above red tides, bloom causative was Eucampia zodiacus This bloom had been firstly developed at the eastern part of the Ariake Sea. as the field observation is time-consuming, information on the developing process of the red tide, and horizontal distribution of the red tide has not yet been clarified in detail. To clarify the horizontal distribution of red tide, and its temporal change, remote sensing using satellite data is quite useful. Apply the algorithm to MODIS data which are acquired at the Ariake Sea areas, Japan .
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