Satellite remotely-sensed analysis of temporal-spatial variations of chlorophyll-a concentration in South China Sea

Author

Wang, Ying ; Jiang, Hong ; Zhang, Xiuying ; Jin, Jiaxin

Author_Institution

Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China

fYear

2011

fDate

24-26 June 2011

Firstpage

1

Lastpage

5

Abstract

Taking the South China Sea as the study area, the present paper aims to obtain the spatial and temporal distributions of chlorophyll-a, based on the chlorophyll-a data remote sensed by SeaWiFS from September 1997 to December 2010. Calculate the monthly average of chlorophyll-a concentration through space superposition and analysis the distribution characteristics. In consideration of space regional characteristics of chlorophyll-a concentration in the research area, divide the research area into three zones used the spatial clustering method based on grid density and discuss the seasonal variation in each zone. In order to quantitatively express spatial distribution characteristics of chlorophyll-a concentration, a sinusoidal curve model is established using MATLAB to fit the time series in these zones for simulating the change trends, variation periods and fluctuation ranges of chlorophyll-a.

Keywords

ocean chemistry; oceanographic regions; pattern clustering; remote sensing; seawater; time series; AD 1997 09 to 2010 12; MATLAB; SeaWiFS data; South China Sea; change trend; chlorophyll-a concentration; grid density; regional characteristics; satellite remotely-sensed analysis; sinusoidal curve model; space superposition; spatial clustering method; spatial distribution; temporal distribution; temporal-spatial variation; time series; Correlation; Mathematical model; Ocean temperature; Remote sensing; Rivers; Sea measurements; SeaWiFS; chlorophyll-a; remote sensing; temporal-spatial variations; the South China Sea;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2011 19th International Conference on

Conference_Location

Shanghai

ISSN

2161-024X

Print_ISBN

978-1-61284-849-5

Type

conf

DOI

10.1109/GeoInformatics.2011.5980882

Filename

5980882