Location:
Centre for Continuing education
Capacity building under QIP initiative. The demand for spatio-temporal data analysis has gained momentum with the government’s push for digital India. There is lack of professionals in these disciplines, particularly of those with a vast knowledge of the practical utilization of these technologies. This necessitates knowledge augmentation of in-service professionals particularly of teaching faculty in colleges and universities.
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Course Objective: Knowledge augmentation (advancements in spatial informatics, remote sensing data analysis, modelling and Geo Visualisation) for in-service professionals.
Course Contents:
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.
GIS Perspectives: Environmental research, the state of GIS for environmental research, the state of GIS for environmental problem-solving, GIS and environmental modeling.
Understanding the scope of FOSS4G: Its relationship to environmental modeling and natural resources management.
Data models and data quality: problems and prospects.
GIS in environmental modeling: Hydrological modeling, urban dynamics, biological/ecological modeling, disaster management and risk modeling.
Principles of Remote Sensing: Spectral characteristics of earth’s surface, spatial date pre-processing, classification, accuracy assessment, land use land cover analysis, change detection, biophysical modeling.
Remote sensing and GIS integration: Applications to resources inventorying, monitoring and management. Ground truth date. Digital image processing image classification.
Concept of environment: Economic benefits of remote sensing the geographical uses of remote sensing, sensors for environmental monitoring.
Applications of Remote Sensing: Water in environment in environment, soil and landforms, urbanization, design of Smart Cities, Ecology, Conservation and resource management, Land/land cover dynamics, Urban sprawl analysis, Hazards and disasters, Coastal zone management. Case studies would highlight the application of these concepts in natural resources management.
Selected participants would learn basic concepts of GIS, remote sensing data classification, integration of remote sensing information with GIS, database development and if time permits spatial data modelling and geo-visualisation, geo-server, etc.
Lectures: Lectures will be delivered by Institute faculty members and guest faculty (IIT, IIIT-B, IIIT-H, IIRS, GOOGLE ENGINE). Sessions – 60% lectures and 40% hands on training (selected participants need to bring laptop with mouse)
