Geographic information system II

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Course TypeCourse CodeNo. Of Credits
Foundation ElectiveSHE2ED3172

To which offered: (I/ III/ V) III semester

Course Title: Geographic information system II

Credits: 2 Credits

Course Code (new): SHE2ED317

Type of Course: Elective yes Cohort MAED

Course Coordinator and Team:Dr Pulak Das

Email of course coordinator:

Pre-requisites: None


The course entails basic concept of Geographic Information system & Remote sensing techniques and their application in various fields. In this students acquire a base of geographic knowledge and data collection methods used in subsequent GIS application. Introductory raster GIS operations are discussed and reinforced in computer lab work. Subjects include the acquisition and compilation of data from maps, field surveys and satellite images; and an introduction to the linkage between a map and a database. Students learn to create and manipulate attribute tables, to create and manipulate graphic objects and to link attribute tables to graphic objects (using ArcGIS & QGIS). Students are introduced to: layer structures to organize data and maintain data integrity, projection, thematic mapping concepts, selection sets and SQL queries, summary statistics and geocoding.

Introduction in vector GIS, with an emphasis on GIS as a spatial data base for information management. Basic relational database management concepts are introduced and reinforced. Using GIS software (ArcGIS & QGIS), students create spatial databases, edit and manipulate data, query databases. Students explore topics including data organization, file structures, topology, and the linkage between graphic and non-graphic elements of a spatial database. The analytical capabilities of vector GIS, including thematic, Buffer, Area calculation are introduced.

Introduction to GPS and their application with a field work experience will be provided to students. They will be introduced to: the differences between and the capabilities of raster and vector data structures, the structure and organization of raster data, issues associated with display palettes and image resolution, data capture and manipulation, data transformation and processing, and data analysis and output.

Image processing techniques and classification techniques will be key focus in the second Section. Image georectification, unsupervised, supervised classification of the satellite image will be taught to the students.

Learning objectives:

  • To understand functional basis of a GIS, appreciate the potential uses of GIS in natural resource management.
  • Creation of quality spatial data involved in using GIS
  • Develops a strategy to implement an effective GIS
  • Implement the technology to store and manage large sets of spatial data, effective tool to identify spatial relationships and pattern recognized methodology to assist in decision-making mechanism for the production of high quality maps using the latest technology in natural resource management.

Course Outcomes:

On successful completion of this course, students will be able to:

  1. Use technologies like GIS and remote sensing
  2. Use specialised software such as ArcGIS, QGIS, and IDRISI, for quantitative and qualitative data analysis
  3. Communicate research findings effectively through maps
  4. Apply competencies acquired to understand and address real world problems, scenarios and case studies using image processing and maps
  5. Ability to analyse, interpret and draw conclusions from quantitative data from sources such as BHUVAN, USGS Global Visualisation Viewer (GLOVIS)

Broad topics:

Semester I

  • Introduction to GIS & Remote sensing concepts
  • Digitization, Creation of Vector layers,
  • Various elements of GIS,
  • Editing of Vector layers,
  • Creation of Database.
  • Introduction & Use of GPS,
  • Plotting of GPS data on map
  • Conversion of GPS data in to shape file format
  • Making map using GPS
  • Creating layouts from vector layers.
  • Final map representation with all map elements

Indicative Reading list:

  • Principles of Geographical Information Systems by P.A. Burrough, & McDonnell,
  • Geographic Information Systems and Science. Second edition. By P. A.Longley, M. F. Goodchild, D. J. Maguire and D. W. Rhind. John Wiley, Chichester, 2005.
  • Managing Natural Resources with GIS by Laura Lang, Environmental Systems Research Institute.
  • Remote Sensing and Image Interpretation by Thomas M. Lilles and, Ralph W. Kiefer.
  • GIS: A Visual Approach by Bruce Ellsworth Davis, Bruce Davis


Assessment will be carried out in three phases, submission of practical assignment (soft/hard), end term exam, and a field exercise. Assessments will be carrying 40%, 35%, and 35% of the total marks.