Title of article :
Variability in coastal zone color scanner (CZCS) Chlorophyll imagery of ocean margin waters off the US East Coast
Author/Authors :
Yoder، نويسنده , , J.A and O’Reilly، نويسنده , , J.E. and Barnard، نويسنده , , A.H and Moore، نويسنده , , T.S and Ruhsam، نويسنده , , C.M، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2001
Pages :
28
From page :
1191
To page :
1218
Abstract :
The purpose of our study was to use the 7.5-year coastal zone color scanner (CZCS) image time series (Oct. 1978 to July, 1986) to study general patterns in near-surface phytoplankton chlorophyll concentrations in ocean margin waters off the US East Coast. We defined 21 relatively large study areas (>100 km2) within the MAB and SAB to set boundaries for averaging and subsequent analyses. Our objective was to partition the observed CZCS-derived chlorophyll concentration (CSAT, mg m−3) variability of these 21 study areas within three general categories based on time scale: daily (i.e. day–week), seasonal and interannual. An additional objective was to determine relations between the temporal patterns in the 21 study areas. All available CZCS imagery (more than 3500 scenes of Level 1 imagery, i.e. top-of-the-atmosphere radiance in satellite swath coordinates) covering some or all of our area of interest (northwest Atlantic off the US East Coast) were obtained at full resolution, processed to Level 2 (water-leaving radiance, chlorophyll concentration and other derived products in satellite swath coordinates) and mapped to two different study regions located off the southeast and northeast coasts of the US. Satellite-derived estimates of near-surface chlorophyll concentrations (CSAT) were extracted on a pixel-by-pixel basis from each of the 21 study areas (chosen based on oceanographic criteria) from each of the daily composite CSAT images. For each image and when satellite coverage permitted, CSAT values were averaged to yield a time series of daily mean values for each of the 21 study areas. We used three basic approaches to quantify temporal and spatial patterns in the 21 time series: (1) multiple linear correlation, (2) structure functions (semi-variance calculations) and (3) empirical orthogonal functions (EOF). Our results show:
Keywords :
continental shelves , Ocean color , phytoplankton , algal blooms , CZCS , Ocean variability , Satellite sensing
Journal title :
Continental Shelf Research
Serial Year :
2001
Journal title :
Continental Shelf Research
Record number :
2294636
Link To Document :
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