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.
Faisal Ahmed Khan, Tariq Masood Ali Khan, Muhammad Ghayas Uddin. (2019) Satellite based Monitoring of Interactions between Chl-a and SST in the Arabian Sea and Persian Gulf area: a useful tool to identify ocean productive zones, Journal of Space Technology , Volume 9, Issue 1.
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