Syllabus (GEOGRAPHY)

Course Type: SEC-1

Semester: 1

Course Code: BGEOSEC01S

Course Title: Geoinformatics

(L-P-Tu): 0-6-0

Credit: 3

Practical/Theory: Practical

Course Objective: To understand the basic concepts and principles of remote sensing and GIS. To study the basics of digital image processing to solve the real-world problems. To understand GIS data types and structures with geo-processing, visualization techniques in GIS

Learning Outcome: Students will acquire employable skills in remote sensing and GIS. Students will be able to apply algorithms that will help to analyze and evaluate digital images. Students will also be able to create thematic maps relevant for resource analysis, managem

Unit I: Remote Sensing [20 Hours]
1.1 Remote Sensing – definition, development, EMR & EMS, Spectral reflectance curves; Platforms, Orbits; Sensors, Types of Satellite Remote Sensing. IRS and Landsat missions.
Digital data format and metadata; Image referencing schemes and data acquisition. (5 lectures)
1.2 Remote Sensing – definition, development, EMR & EMS, Spectral reflectance curves; Platforms, Orbits; Sensors, Types of Satellite Remote Sensing. IRS and Landsat missions.
Digital data format and metadata; Image referencing schemes and data acquisition. (5 lectures)
1.3 Principles of visual & digital image interpretation. (5 lectures)
1.4 Preparation of inventories of land use land cover (LULC) features from satellite images. (5 lectures)

Unit II: GIS [19 Hours]
2.1 GIS – definitions, components, development and applications. (4 lectures)
2.2 Data Structures: Spatial & non-spatial; Spatial Data Models: Raster and Vector data models; (4 lectures)
2.3 Spatial data relationship – Topology.GIS Database Creation and Maintenance. (6 lectures)
2.4 GIS-based Modelling and Spatial Overlay: Point, line & areal data. (5 lectures)

Project File
a) Georeferencing of maps and images. Image enhancement; preparation of reflectance libraries of LULC features across different bands. Image classification, post-classification analysis and class editing. Application of Remotely Sensed data .
b) Topology Creation; Data attachment and Creation of DBMS, Thematic Mapping: Morphometric Analysis and Choropleth Mapping.

Selected References:
1. Campbell, J.B. 2007. Introduction to Remote Sensing, Guildford Press.
2. Jensen, J.R. 2004. Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice Hall.
3. Lillesand, T.M., Kiefer, R.W., Chipman, J.W. 2004. Remote Sensing and Image Interpretation, Wiley.