Swetha, N and Nimit, K and Nagaraja Kumar, M and Nayak, J and Maity, S and Preethi, M and Rose P, Bright and Suresh, I (2017) Automated Identification of Oceanic Fronts for Operational Generation of Potential Fishing Zone (PFZ) Advisories. Technical Report. INCOIS, 2018.
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Abstract
PFZs, are essentially the frontal structures as identified from the satellite images of Sea Surface Temperature (SST) and chlorophyll concentration. These regions are known for fish aggregation and provide cost-effectiveness in offshore fishing operations. Subjective identification of fronts may lead to human-errors, non-negotiable beyond a limit. To overcome this, we propose utilization of tools that help automated identification of the frontal structures. This approach not only removes the errors, but also helps shorten the time period of the operational process-chain
| Item Type: | Monograph (Technical Report) |
|---|---|
| Additional Information: | Copyrights of this technical reports belongs to Indian National Centre for Ocean Information Services (INCOIS) |
| Uncontrolled Keywords: | Potential Fishing Zone;Fronts;Sea Surface Temperature; Chlorophyll;Automated Frontal Detection |
| Subjects: | Oceanography > marine resources Oceanography > oceanography |
| Depositing User: | INCOIS Library |
| Date Deposited: | 10 May 2018 12:13 |
| Last Modified: | 10 May 2018 12:13 |
| URI: | http://moeseprints.incois.gov.in/id/eprint/4506 |
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