Bachelor of Arts (B.A.) Applications of Remote Sensing and GIS Syllabus - Mumbai University 2026
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Syllabus for Applications of Remote Sensing and GIS
Practise with the Semester 6 past papers. They are from the old syllabus, so check each topic against this one.
Module 1: Remote Sensing Data Acquisition and Image Processing
- 1 Satellite Data Sources and Characteristics (Landsat, Sentinel, IRS; spatial, spectral, temporal and radiometric resolution; metadata interpretation)
- 2 Image Pre-processing Techniques (layer stacking, mosaicking, subsetting, geometric and radiometric correction)
- 3 Image Enhancement and Interpretation (contrast stretching, histogram equalization, False Colour Composite generation, visual interpretation techniques and interpretation keys)
- 4 Digital Image Classification and Accuracy Assessment (supervised and unsupervised classification, training samples, confusion/error matrix, kappa coefficient)
Module 2: GIS Database Creation and Spatial Data Management
- 1 Georeferencing and Map Projection Systems (ground control points, coordinate systems – Geographic and UTM, datum concepts)
- 2 Digitization and Topology Building (point, line and polygon digitization; topology rules; error detection and correction)
- 3 Attribute Data Management (creation and editing of attribute tables, joins and relates, integration of Excel/CSV data)
- 4 Raster and Vector Data Models (data structures, conversion techniques, spatial database creation and management)
Module 3: Spatial Analysis and Geospatial Modelling
- 1 Proximity and Buffer Analysis (point, line and polygon buffers; nearest neighbour analysis)
- 2 Overlay Techniques (clip, union, intersection, dissolve; multi-criteria analysis)
- 3 DEM and Terrain Analysis (slope, aspect, contour generation, hillshade analysis)
- 4 Suitability and Network Modelling (weighted overlay, site suitability analysis, shortest path and service area analysis)
Module 4: Applications of Remote Sensing and GIS
- 1 Land Use / Land Cover Mapping and Change Detection (classification outputs, post- classification comparison techniques)
- 2 Urban and Regional Applications (urban sprawl mapping, infrastructure planning, population density mapping)
- 3 Environmental and Resource Applications (watershed delineation, NDVI analysis, water body mapping, pollution mapping)
- 4 Disaster Management Applications (flood zonation, landslide susceptibility mapping, risk and vulnerability assessment)
Reference Books
- Ahirrao Y., Karanjkhele E. K., 2002, Practical Geography, Sudarshan Publication, Nashik
- Kanetkar T. P., Kulkarni S. V., 1986, Surveying and Leveling, Pune Vidyrthi Griha Publication, Pune
- Karlekar S. N., 2008, Statistical Methods, Diamond Publication, Pune Kumbhare A.1994, Practical Geography, Sumeru Publication, Dombivali (E.) Monkhouse F.J. - Maps & Diagrams, Methuen and Co., London, 1971 (3rd Edition, Revised). NCERT - Textbook for Class-12, Practical Work in Geography Part II Peter A. Rogerson - Statistical Methods for Geography, Sege Publishers -2001 Robinson A.H. - Elements of Cartography, Wiley
- Saha P., Basu P., 2007, Advanced Practical Geography, Books and Allied (P) Ltd, Kolkata
- Saptarshi P. G., Jog S. R., Statistical Methods ,
- Sarkar A., 2015, Practical Geography: A Systematic Approach, Orient Black Swan Private Ltd., New Delhi
- Sharma J. P., 2010, Prayogic Bhugol, Rastogi Publishers, Meerut. Singh R. L. and Singh R. P. B., 1999, Elements of Practical Geography, Kalyani Publishers.
- Slocum T. A., Mcmaster R. B. and Kessler F. C., 2008, Thematic Cartography and Geovisualization (3rd Edition), Prentice Hall.
- Tyner J. A., 2010, Principles of Map Design, The Guilford Press.