OCG 411 REMOTE SENSING AND SATELLITE OCEANOGRAPHY

3 Hours/Week, 3 Credits

1. Principle of remote sensing. 2. Sensor and satellite data. 3. Satellite image processing: Data acquisition; Pre-processing: radiometric correction, geometric correction, enhancement; Feature extraction: ground truth survey, interpretation of key extraction, training area selection; Classification: visual interpretation, unsupervised and supervised classification; Post-processing; Output and maps. 4. Application of satellite product in ocean and coast: Sea surface temperature, chlorophyll concentration and primary productivity, total suspended solids, sea surface height, oil spills monitoring; Phytoplankton functional groups, phytoplankton bloom detection and potential fishing ground mapping; Resource classification, Changes in coastline, Land use change detection, Mangrove forest mapping and change detection, Sea ice change detection. Recommended Books 1. Remote Sensing Applications in Environmental Research by Prashant K Srivastava and Saumitra Mukherjee. 2. An Introduction to Ocean Remote Sensing by Seelye Martin