Title :
Comparison of multi-sensor data application in algal bloom detection
Author :
Liya Sun ; Yunzhi Chen ; Xiaoqin Wang ; Liya Sun ; Yunzhi Chen ; Xiaoqin Wang
Abstract :
Satellite remote sensing plays a significant role in algal bloom monitoring and detection over these decades. Different satellite data from SeaWiFS, MODIS/Aqua, MODIS/Terra and MERIS were processed for East China Sea in May 2008. Derived normalized water-leaving radiance (nLw), chlorophyll concentration (Chl) and fluorescence line height (FLH) were compared and analysed for these sensors. The comparison results show that nLw data from MODIS/Terra with SeaWiFS and MODIS/Terra with MERIS have more reliable correlation than those from MODIS/Terra with MODIS/Aqua. The Chl comparsions reveal the good capability of MODIS/Terra and MERIS better than others. Therefore, it would be feasible to continue the time series using multi-sensor data and improve the data merging in algal bloom detection.
Keywords :
aquaculture; data acquisition; remote sensing; sensor arrays; wireless sensor networks; East China Sea; MERIS; MODIS/Aqua; MODIS/Terra; SeaWiFS; algal bloom detection; algal bloom monitoring; chlorophyll concentration; fluorescence line height; multisensor data application; satellite remote sensing; water-leaving radiance; Algorithm design and analysis; Fluorescence; MODIS; Oceans; Remote sensing; Satellites; Sensors; Chl; MERIS; MODIS; SeaWiFS;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647646
