Comparison of multi-sensor data application in algal bloom detection

Author

Liya Sun ; Yunzhi Chen ; Xiaoqin Wang ; Liya Sun ; Yunzhi Chen ; Xiaoqin Wang

Volume

5

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

2144

Lastpage

2148

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647646

Filename

5647646