Syllabus (GEOGRAPHY)

Course Type: MAJ-10

Semester: 6

Course Code: BGEOMAJ10S

Course Title: Geoinformatics

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

Credit: 6

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: Aerial Photographs and Remote Sensing [78 Hours]
1.1 Concept of Aerial Photographs, Key elements, Photo scale, Height of flight, End lap and Side lap, Identification of Physico-cultural features from Aerial Photographs.(18 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. (18 lectures)
1.3 Principles of Image Rectification & Enhancement; Image Registration; Subset Image. Preparation of Colour Composites (TCC, FCC & SFCC) & Indices (NDVI, NDWI, NDBI) from
IRS LISS-3, Landsat TM and OLI data. (22 lectures)
1.4 Principles of visual & digital image interpretation. Preparation of inventories of land use land cover (LULC) features from satellite images. (20 lectures)

Unit II: GNSS & GIS [78 Hours]
2.1 Principles of GNSS positioning with special reference to GPS, Collection and retrieval of GNSS data. (18 lectures)
2.2 GIS – definitions, components, development and applications. (14 lectures)
2.3 Data Structures: Spatial & non-spatial; Spatial Data Models: Raster and Vector data models; Spatial data relationship – Topology. GIS Database Creation, DBMS and its use in GIS. (22 Lectures)
2.4 GIS-based Modelling and Spatial Overlay: Point, line & areal data; Application in Physical Geography and Human Geography, Web-GIS. (24 Lectures)

Project File
a) Mapping Physical and Cultural features from Aerial Photograph.
b) Georeferencing of maps and images. Creation of Subset image. 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 .
c) Topology Creation; Data attachment and Creation of DBMS, Thematic Mapping: Morphometric Analysis and Choropleth Mapping.
d) Preparation of map from GNSS data.

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.

4. Bhatta, B. 2011. Remote Sensing and GIS, 2nd ed, Oxford Univ. Press.

5.Bolstad, P. 2016. GIS Fundamentals: A First Text on Geographic Information Systems, 5th ed, XanEdu Publishing.

6. Brewer, C.A. 2015. Designing Better Maps: A Guide for GIS Users, 2nd ed, Esri Press.

7. Harvey, F. 2015. A Primer of GIS: Fundamental Geographic and Cartographic Concepts, 2nd ed, The Guilford Press.

8. Jensen, J.R., 2013. Remote Sensing of the Environment: An Earth Resource Perspective, Pearson Education India.

9. Joseph, G. and Jegannathan, C. 2018. Fundamentals of Remote Sensing, 3rd ed, Universities Press.

10. Lillesand, T.M., Kiefer, R.W. and Chipman, J.W., 2015. Remote Sensing and Image Interpretation, Wiley.