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Basin-scale retrieval of zooplankton using split algorithm and MODIS data in the Arabian Sea

Dwivedi, R and Priyaja, P and Baliarsingh, SK and Srinivasa Kumar, T and Shenoi, SSC (2016) Basin-scale retrieval of zooplankton using split algorithm and MODIS data in the Arabian Sea. Technical Report. INCOIS, Hyderabad.

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Split-algorithm has been developed to estimate zooplankton in the Arabian Sea using the remote sensing inputs; sea surface temperature and particulate organic carbon. In situ data on zooplankton bio-volume were collected from research vessels of the Ministry of Earth Sciences of India for the period 2000-2012 representing multiple seasons round the year. An exponential increase in zooplankton concentration was observed with increase in the sea surface temperature up to 25oC in the cold waters and it decreased at non-linear rate with further increase in the temperature. The results presented here highlight a critical role of temperature, rather than food, in causing distribution and abundance of zooplankton. Another feature of the algorithm is the use of particulate organic carbon instead of chlorophyll to account for feeding behavior of omnivorous zooplankton. The algorithm was implemented on Aqua MODIS data and validated for low as well as high temperature points

Item Type: Monograph (Technical Report)
Additional Information: Copyright belongs to this technical report is INCOIS, Hyderabad.
Uncontrolled Keywords: Zooplankton bio-volume, particulate organic carbon, sea surface temperature, remote sensing retrieval
Subjects: Oceanography > biological oceanography
Oceanography > marine biology
Oceanography > oceanography
Depositing User: INCOIS Library
Date Deposited: 21 Apr 2016 10:36
Last Modified: 21 Apr 2016 10:36

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