Course Objectives

• • To study the basic concepts of GIS.• To study the data structure in GIS• To study data conversion in GIS and Meta data

Learning Outcomes

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.

Text Books
1. Anji Reddy .M, “Textbook of Remote Sensing and Geographical Information Systems”, BS Publications, Hyderabad. 2011. ISBN : 81-7800-112-8.

2. Kang tsung Chang , “Introduction to Geographical Information System”, Tata McGraw Hill, 7th edition, 2010

3. Burrogh .P.A, “Principles of Geographical Information System for Land Resources Assessment”, Oxford Publications, | ISBN-13: 978-0198545927, 1986.

4. Chandra .A.M and Ghosh .S.K, “Remote Sensing and Geographical Information System”, Narosa Publishing House, New Delhi. 2006.

5. Paul A. Longley, Micheal F. Goodchild, David J. Magaine David J. Magaine, David W. Rhind, “Geographical Information System”, Vol. I & II, John wiley& Sons.Inc1999.

Course Syllabus

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Session Plan

Session 1

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Session 2

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Case Studies

Case Studies