Abstract
This study aims to employ remote sensing as a means to ascertain the marine productive zones through the correlative relationship between Sea Surface Temperature (SST) and Chlorophyll-a (Chl-a) concentration. We used monthly data sets of SST and Chl-a concentrations at 4 km resolution, obtained from Terra-Moderate Resolution Imaging Spectroradiometer (MODIS) from the year 2001 to 2017. The study of Chl-a enrichment in certain parts of Arabian Sea and the Persian Gulf is generally associated with the variability of SST. This study demonstrates the usability of satellite data which can be greatly enhanced by the use of Data Interpolating Empirical Orthogonal Functions (DINEOF) method, which in turn has proven a reliable tool for finding the missing data due to cloud covers especially in the months of SW monsoon in the region under study. Monitoring of Spatial and temporal distributions of SST and Chl-a concentration in different seasons indicated that most of the study area (96%) exhibited negative correlation between SST and Chl-a. Just a few regions (4%) including some coastlines and Persian Gulf show positive correlation, indicating the impact of some oil spills and human interaction with seawater quality. Marine productivity has a pivotal character to play in the socio-economic development of countries, located around the Arabian sea and this study could be beneficial to find the spatial association of SST and Chl-a with marine productive zones.
Keyword(s)
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