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Abstract

Long term Sea Surface Temperature variability and its relation with, chlorophyll (chl) pigment of phytoplankton biomass were investigated using SeaWiFS (Sea-viewing Wide Field of-view Sensor) and AVHRR (Advanced Very High Resolution Radiometer) satellite imagery. SST acquired from AVHRR (1985 to 2009) showed seasonal, annual and interannual variability of temperature. Monthly variability chl from SeaWiFS 1985 to 2009 has also been investigated, Correlation between SST and chl was found to be 78% and significant at P<0.05.Keywords: SST, Phytoplankton, AVHRR, SeaWiFS, EOF, Caspian Sea. Uzun Periyodda Hazar Denizinin Su Yüzeyi Sıcaklığının Değişkenliği ve Değişkenliğin Fitoplanktonla İlişkisinin AVHRR ve SeaWiFS Uydularından Alınan Verilerle İncelenmesi ÖzetBu çalışmada Hazar Denizi'nin 24 yıllık, mevsimsel su yüzeyi sıcaklığı ve bu sıcaklığın fitoplanktonla ilişkisi AVHRR (Çok Yüksek Çözümlemeli Radyometre) ve SeaWiFS (Sea-viewing Wide Field of-view Sensor) uydu verileri kullanılarak incelenmiştir. Çalışmanın en önemli sonucu fitoplankton ile su yüzeyi sıcaklığını %78 oranında korelasyon göstermesidir (P<0,05).

The relationship between sea surface temperature and chlorophyll-a concentration in fisheries aggregation area in the archipelagic waters of spermonde using satellite images

“…SST and chl-a indicates close coupling [10][11][14][15][16][17]. The variability of chl-a was related to the seasonal monsoon due to changes of water condition such as SST [18].…”

Long time SST and Chlorophyll-a Pigment concentration of Lake Van Using MODIS

“…Dominant pattern of SST and Chl-a was also studied using an Empirical Orthogonal Function (EOF) analysis, also known as Principal Components Analysis. This analysis has already been used for other regions by (Kelly, 1985); (Lagerloef & Bernstein, 1988;Paden, Abbott, & Winant, 1991); (Fang & Hsieh, 1993) (Gallaudet & Simpson, 1994); (Hernandez-Guerra & Nykjaer, 1997), (Kavak, 2012).…”