• Geographical information systems: Introduction, historical development, from the real world to GIS, basic data models, Geo-references and co-ordinate systems, basic spatial analysis and modeling, GIS implementation and project management, GIS issues and prospects, Data models and data quality : Problems and prospects, GIS in Environmental modeling : Hydrological modeling, atmospheric modeling, landsurface-subsurface modeling, biological/ecological modeling, infrastructure development planning , disaster management and risk modeling.
• Physical aspects of remote sensing, spectral characteristics of earth's surface and of atmosphere, Sensors and their characteristics: multi-spectral scanners Aerial and satellite platforms. Visual and machine interpretation of imagery. Ground truth data. Digital image processing and image classification. Concept of environment, economic benefits of remote sensing, the geographical uses of remote sensing,  sensors for environmental monitoring.
• Remote sensing and GIS integration, Applications to resources inventorying, monitoring  and management.
• Open Source GIS: Principles
• Application of Remote Sensing : Water in environment, Soil and landforms, Ecology, conservation and resource management, Landuse/landcover dynamics, Urban sprawl analysis,  Hazards and disasters, Coastal zone management.
• Laboratory sessions: Principles of GIS and remote sensing: - digitization of vector layers, creation of thematic layers, remote sensing data analysis (everyday during 3 -6.30PM).

Lectures: lab sessions: 65:35

Faculty:  IISc Faculty and Research Scholars will deliver the lectures of the course and lab sessions will be handled by research scholars and project staff.
Venue: CCE seminar hall, IISc campus.
Course schedule:  9 30 am to 6.30 pm