Interactive Analyses in Marine Fisheries using Passive Optical Remote Sensing Techniques
G. Murugaboopathi, D. Rajalakshmi and R. Jayanthan
Vel Tech Multi Tech Dr.Rangarajan Dr. Sakunthala Engineering College, India.
ABSTRACT: Remote observations of the sea surface can provide a significant part of the information needed to assess and improve the potential yield of the fishing grounds. Satellite remote sensing is emerging as a powerful tool in synoptic survey of natural resources. Using satellite and airborne sensors is a powerful, operational tool for monitoring coastal zones. The use of remote sensing methods to examine physical oceanography is becoming increasingly important within marine fisheries oceanography. This paper mainly discussed the techniques of optical remote sensing. This technology can provide accurate, large-scale, synoptic environmental information essential for understanding and managing marine ecosystems. Optical multi- or hyper spectral sensor data allows the assessment of in-water properties, such as suspended matter or phytoplankton concentration, benthic substrate type, vegetation composition, and bathymetry in shallow waters. This technique can be used to detect all kind of in-water properties. In this proposed technique Generic processing systems and Hyper spectral Imaging Systems are used to sense the visible, near infrared and short-wave infrared sensors to form images of the earth's surface by detecting the solar radiation reflected from targets on the ground accurately and enables better characterization and identification of targets.
KEYWORDS: Optical Remote Sensing; Generic processing systems; hyper spectral imaging systems
Download this article as:Copy the following to cite this article: Murugaboopathi G, Rajalakshmi D, Jayanthan R.Interactive Analyses in Marine Fisheries using Passive Optical Remote Sensing Techniques. Biosci Biotechnol Res Asia 2015;11(1) |
Copy the following to cite this URL: Murugaboopathi G, Rajalakshmi D, Jayanthan R.Interactive Analyses in Marine Fisheries using Passive Optical Remote Sensing Techniques. Biosci Biotechnol Res Asia 2015;11(1).Available from: https://www.biotech-asia.org/?p=6347> |