Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Ramesh, N.V.K.Subject: search.filters.subject.APDRC

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    Analysis of Potential Regions for Maritime using QGIS Tool
    (Institute of Electrical and Electronics Engineers Inc., 2022) Ramesh, N.V.K.; Sai Karthik, C.V.; Yugesh, J.; Vani, B.; Reddy, B.
    The paper explains the advancement of seafood production using remote sensing methods virtually. It is an attempt to coordinate the gauging rules as well as GIS to determine an appropriate basis for arranging drifting enclosures in the seaward climate, which could serve as a model for comparable cases. Now a days due to more population the agriculture food is not sufficient for the survival of the human beings. So, people are checking for the alternatives and marine aqua culture is the fast-growing food resources. Marine aqua culture has high value of species for the food supplies and also has negative impact on water supply.The main objective of this paper is to use GIS software to create environmental models for the development of seafood and to enhance food production.The analysis of variance revealed critical spatial variation for ocean surface current, total suspended matter, and chlorophyll-a.By using GIS software we are collecting the parameters of the oceans and check the suitable locations for seafood production. Coastal mariculture is presently confronting huge tensions, particularly from the anthropogenic exercises, variable climate, and multi-client struggle. © 2022 IEEE.
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    Monitoring Harmful Algal Blooms in the Indian Ocean Region Using Satellite Remote Sensing Data
    (Institute of Electrical and Electronics Engineers Inc., 2023) Ramesh, N.V.K.; Spandana, A.P.; Sri, N.N.; Kumar, D.R.; Ratnam, D.V.; Vani, B.V.
    Nowadays, fishermen and other people dependent on marine life and seafood face severe problems due to HABs (harmful algal blooms). HABs are severely affecting climate change, fishermen, and the Indian economy in many ways. Therefore, detecting harmful algal blooms in various coastal regions is necessary to increase economic growth and save aquatic animal life. The present study summarizes the algal bloom events analysis reported in India during of January 2004, September 2004, March 2008, and March 2013. The detection of algal blooms in Asian Pacific Data Research Center(APDRC) using Chlorophyll, sea surface temperature of Moderate Resolution Imaging Spectroradiometer(MODIS) satellite data is considered for the significant algal blooms events that occurred over the Indian Ocean in January 2004, September 2004, March 2008, and March 2013. In addition, the corresponding zonal total surface currents from OSCAR satellite data are analysed to investigate the HAB characteristics. It is evident from the results that various factors for such algal blooms are based on the environmental factors prevalent during the blooms period. The outcome of this work would help understand the spatial and temporal variability of Algal blooms and for developing algal bloom detection and prediction algorithm using satellite and ground-based observations. © 2023 IEEE.