DocumentCode :
2709428
Title :
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
Link To Document :
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