"Distribution And Dynamics of Pelagic Fish Along the Karnataka Coast: Insights from INCOIS Potential Fishing Zone (PFZ) Advisories"
Main Article Content
Abstract
The use of satellite technology to retrieve Potential Fishing Zone (PFZ) data has revolutionized the fishing industry by providing real-time information to fishermen. By leveraging advanced technologies such as satellite remote sensing and data analytics, PFZs are identified based on oceanographic parameters like sea surface temperature (SST) and chlorophyll-a (Chl-a) concentrations. These PFZs highlight areas where fish are most abundant, allowing fishermen to optimize their efforts and focus on regions with higher fish concentrations. This targeted approach minimizes overfishing in less productive areas, promoting sustainable fishing practices. By integrating cutting-edge technologies and data analytics, this system not only enhances the fishing process but also contributes to environmental conservation by reducing the ecological impact of fishing activities.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
1. Wasim, M., Mohanty, S., Pandey, A. C., & Pandey, A. C. (2024). Potential fishing zones estimation along the Coast of India using geospatial technology. Aquatic Ecosystems Monitoring: Conventional Assessment to Advanced Remote Sensing, 218.
2. Fitrianah, D., Fahmi, H., Hidayanto, A. N., & Arymurthy, A. M. (2016). A data mining based approach for determining the potential fishing zones. International Journal of Information and Education Technology.
3. Karuppasamy, S., Ashitha, T. P., Padmanaban, R., Shamsudeen, M., & Silva, J. M. N. (2020). A remote sensing approach to monitor potential fishing zone associated with sea surface temperature and chlorophyll concentration.
4. Nammalwar, P., Satheesh, S., & Ramesh, R. (2013). Applications of remote sensing in the validations of potential fishing zones (PFZ) along the coast of North Tamil Nadu, India. Indian Journal of Geo-Marine Sciences.
5. Harahap, S. A., Syamsuddin, M. L., & Purba, N. P. (2020). Range of sea surface temperature and chlorophyll-α values based on mackerel catches in the northern waters of West Java, Indonesia. AACL Bioflux, 13(4), 2265-2272.
6. Giri, S., Manna, S., Chanda, A., Chowdhury, A., Mukhopadhyay, A., Chakraborty, S., & Hazra, S. (2016). Implementing a spatial model to derive potential fishing zones in the Northern Bay of Bengal lying adjacent to West Bengal Coast, India. Journal of the Indian Society of Remote Sensing.