3 Hours/Week, 3 Credits

1. Introduction to GIS: General introduction and definitions, GIS requirements (hardware, software, manpower), GIS and related technologies (Remote Sensing, GPS, Computerized Cartography, photogrammetric), Applications of GIS, WebGIS, OpenGIS. 2. Properties of Map: Types of Maps, Map scale, Coordinates and projection systems. 3. GIS Data Structure: Characteristics and sources of GIS data, vector and raster data model: basic understanding, understanding layers and attribute. 4. Vectors: Understanding vectors, topologies point, line, polygon storage requirement, advantages and disadvantages, Vector manipulation, interpolation, overlay, buffer, geometric modeling. 5. Images and Raster/grids: Understanding raster, raster properties pixels, resolution, colour depth, storage requirement and compression, histogram; advantages and disadvantages, GIS specific raster/grid manipulation: buffering, recalculation, reclassification, thinning, attribute manipulation. 6. Spatial modeling: Ocean GIS 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