Paper
5 October 2007 Assessing dynamics micro-regions in the Great Islands of the Gulf of California based on MODIS aqua imagery products
Francisco Javier Flores-de-Santiago, Eduardo Santamaría-del-Ángel, Adriana González-Silvera, Asdrúbal Martínez-Díaz-de-León, Roberto Millán-Núñez, John M. Kovacs
Author Affiliations +
Abstract
The Great Islands zone, in the Gulf of California, presents high phytoplankton concentration as a result of the high Turbulent Kinetic Energy (TKE). In this work we looked for dynamics zones based on Empirical Orthogonal Function analysis (EOF). The input data were Sea Surface Temperature (SST) and Chlorophyll-a concentration (Chla) from daily MODIS-AQUA at 1 Km from 2003 to 2006. Time series were generated to define the average conditions for summer and winter spring tides. Results showed that in general and during summer-spring tides, higher Chla concentrations are localized in the west coast, with a displacement to the south. These high Chla were associated with tidal mixing. Zero EOF values in summer showed the boundary between low SST and high Chla. During winter-spring tides there were more spatial variability than during summer time. Zero EOF value in winter time showed low SST and Chla in the west coast due to stronger mixing conditions that stay longer. Results of this work emphasize that a dynamic regionalization can be used in high TKE areas and it helps to define zones with a similar response based on the input parameters chosen.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francisco Javier Flores-de-Santiago, Eduardo Santamaría-del-Ángel, Adriana González-Silvera, Asdrúbal Martínez-Díaz-de-León, Roberto Millán-Núñez, and John M. Kovacs "Assessing dynamics micro-regions in the Great Islands of the Gulf of California based on MODIS aqua imagery products", Proc. SPIE 6680, Coastal Ocean Remote Sensing, 668010 (5 October 2007); https://doi.org/10.1117/12.732574
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Cited by 5 scholarly publications.
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KEYWORDS
Magnesium

MODIS

Biological research

Remote sensing

Data modeling

Image processing

Principal component analysis

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