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HUDIER, E., C. FUENTES, P. LAROUCHE, 1999. Extraction des crêtes de pression sur images Radarsat en mode fin. Pages 629-636 in Fourth International Airborne Remote Sensing Conference and Exhibition/21st Canadian Symposium on Remote Sensing, Ottawa, Canada, 21-24 June 1999 .
FUENTES-YACO, C., A.F. VÉZINA, T. PLATT, W.G. HARRISON, P.G. CORMIER, L.E. WAITE, L. DEVINE, 1998. Spatio-temporal distribution of phytoplankton pigments in Northumberland Strait : CZCS imagery and in situ data. Can. Tech. Rep. Hydrogr. Ocean Sci., 195, 37 p .
This report describes the spatial and seasonal variations of phytoplankton pigments in the southern Gulf of St. Lawrence using Coastal Zone Color Scanner (CZCS) images and in situ data collected during different periods. To compare the patterns obtained with both methods, the CZCS and in situ data were grouped into regional subdivisions and computed averages. Because there are no climatological standards for biological and chemical data to compare with this information, subdivisions were developed for commercial fisheries (International Commission for Northwest Atlantic Fisheries [ICNAF/NAFO]) and physical oceanographic features (Petrie et al., 1996) as first attempts. Finally, we used new subareas based on visual analyses of satellite phytoplankton pigment imagery. Both the satellite and in situ data sets show similar synoptic patterns in the spatial distribution of phytoplankton pigments; however, the CZCS estimate gives a more detailed view, suggesting five subareas. The pigment concentrations evaluated in these subareas seemed to vary temporally in agreement with in situ measurements, showing a bi-modal cycle with high and comparable pigment levels during both spring and late summer - early fall. In conclusion, we recommend : i) the study of possible links between in situ biological (phytoplankton biomass), physical, and nutrient data within the subareas identified using CZCS-derived phytoplankton pigment levels; ii) the confirmation or modification of the proposed regionalization using remote sensing data from new satellites like the SeaWIFS and with sensors of higher spatial resolution (CASI); and iii) that the grid stations in future research missions be modified to adequately sample the different subareas identified using CZCS images.
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