Course Credit: 3
Advanced Concept of Geo-information Science: Time Series Analysis, Network Analysis, Terrain Analysis, Process Modeling, Data Quality and Accuracy Assessment, Concept and Application of Geo-health, Customization, Scripting and programming, Geo-database, spatial database, Metadata, Model builder.
GIS based Analysis: Spatial Analysis and Modeling (knowledge driven and data driven methods); Geo-statistical Analysis; 3-D Analysis; Interpolation; Topographic Analysis using TIN; DEM and Surfacing;
GIS Mapping: Elements and types of Map, Basics of Mapping, Concepts of mapping using RS and GIS;
Advanced Concepts and Principles of Remote Sensing: Air- and Space-borne
Multispectral and Hyperspectral remote sensing concepts: Sensors; Information Extraction Techniques, Pre-processing, Classification Approaches, Special Techniques used for Hyperspectral Imagery;
Radar and Lidar remote sensing: Concepts, Sensors; Information Extraction Techniques, Pre-processing, Classification Approaches, Special Techniques used for Radar imagery, Interferometry and Lidar & Radar Data Analysis;
Satellite born SAR (Synthetic Aperture Radar): Application of SAR, Radar Scatterometer and Radar Precipitation Sensors Onboard Satellites and their Applications.
Advanced Image Classification: Support Vector Machine, Super Resolution, Mapping, Markov Random Field, Sub-Pixel Analysis of Optical Imagery, Object-based image classification, Radar Image Analysis: Interferometry & Polarimetry,
Application of remote sensing in oceanography: Sea Surface Temperature, Sea Surface Level, Ocean Colour, Chlorophyll Content, Phytoplankton, Suspended Solid, Dissolved Organic Matter etc.