|Course Type||Course Code||No. Of Credits|
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: email@example.com
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.
On successful completion of this course, students will be able to:
Indicative Reading list:
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.