Advanced Geographic Information System

advanced-geographic-information-system-gis

Syllabus

Faculty: Kamal Kumar Barik

Course Name : Advanced Geographic Information System

Code(Credit) : SFS (0-2-2)

Course Objectives

To study the basic concepts of GIS.
To study data conversion in GIS and Meta-data
To know the basics, importance, and methods of Cartography
To study the various maps projection and Co-ordinate systems.

Learning Outcomes

To understand the structure of spatial data including file associations, attribute tables, Metadata, coordinate systems, and projections.
To develop software skills in programs used for map production in the modern cartographic workflow.
To learn the fundamental concepts of Cartography and its advancements as Digital Cartography.

Course Syllabus

Module – I: BASICS OF GIS
Components of GIS, Types of Data in GIS, Scale, Latitude and longitude, Application of GIS, Advantage and limitation of GIS.
Practice:
Introduction to QGIS: An Overview of the Interface, Add layer from a Shape file dataset, Data exploration, Data styling (raster and vector), Labeling vector files, Loading Google earth to QGIS, Raster data downloading in QGIS, Raster band combination.
Module – II: DATA ANALYSIS TOOLS
Raster data spatial analysis, Network analysis, Vector operations and analysis, Data editing, Primary and secondary data.
Practice:
Managing a dataset:
Geo-referencing (Map to Image and Image to Image), Projection, Data base creation: Digitization using Point, line and polygon, Edit, Clip, Intersect, Union, Merge, Join and subset. Attribute table editing.
Google Earth (Convert Shape file to KML Format and KML File to shape file, Import data into Google earth, Bhuvan view, Extract data From Google Earth, Extract Point Data, Extract Polygon data, Extract line data, overlaying an image into Google earth),
Module - III: SPATIAL DATA ANALYSIS
Data model and data structure, Geodatabase and metadata, GIS data model, Overlay analysis, Network modeling, Data Structure Models, Advantage and disadvantage.
Practice:
Linking of spatial and Non-spatial data and queries, Joining tabular data with the feature attribute data, Non-spatial query, Spatial query, Spatial join, Vector based spatial analysis, Raster based spatial data analysis, Buffering, Creation of Contour , Network.
Module – IV: Digital CARTOGRAPHY
Definition, scope and concepts of cartography, Characteristics of Map; Categories of maps, Methods of mapping, relief maps, thematic maps. Trends in Cartography.
Practice:
Symbology (generalization, symbology, and coloureffect, change symbology and use transparency in creative ways)
Module – V: EARTH MAP RELATION
Geodesy; Map projection, classification principles of construction of common projections, cylindrical, conical, azimuthal and globular projections. Properties & uses of projection. The spheroid, Map scale, and co-ordinate system. Plane co-ordinates in UTM system,
Module – VI: Digital Elevation Model (DEM)
Concept of DEM, Various techniques to generate DEM, Importance of spatial resolution to DEM, Integration of DEM to satellite data, Common derivatives of DEM, Slope, Aspects, TIN, Sources of DEM.
Practice
Google earth to DEM, 3D Map preparation, Contour to DEM, TIN and Aspect, DEM based surface Hydrology modeling.
Module – VII: GPS
Introduction of Global Positioning System (GPS), Satellite constellation, GPS signals and data, Basic Concepts. Discussion on NAVSTAR, GLONASS,GALLILEO, COMPASS, Control Segment, Space Segments, User Segment-operations of GPS, accuracy, error sources and analysis.
Practice
Setting of instruments, Observation, Data downloading and processing, plotting of points, Georeferencing, Error calculation.
List of Projects
1. Landuse and Landcover Dynamics study analysis
2. Ambient air quality mapping
3. Polluted Water quality distribution study
4. Mining Planning study
5. Shortest route monitoring
6. Interlinking of River study
7. Electric utility mapping and Distribution
8. Health GIS
9. Watershed monitoring study
10. Slum study

Reference

Geographic Information Systems for Transportation: Principles and Applications (Spatial Information Systems) by Harvey J Miller and Shih-Lung Shaw.
Remote Sensing of Land Use and Land Cover: Principles and Applications (Remote Sensing Applications Series)” by Chandra P Giri.
Manual of Remote Sensing: Principles and Applications of Imaging Radar by Floyd M Henderson and Anthony J Lewis.

Session Plan