AI3701 Remote Sensing and Geographical Information System Syllabus:

AI3701 Remote Sensing and Geographical Information System Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

 To introduce the principles and basic concepts of Remote Sensing and GIS
 To introduce the remote sensing systems, data products and analysis
 To introduce concepts of GIS 9 Map and their influences
 To introduce the spatial data models, analysis and presentation techniques
 To study the applications of Remote Sensing and GIS in agriculture, soil and water resources

UNIT I CONCEPTS OF REMOTE SENSING AND SATELLITES

Definition- Historical background – Components of remote sensing – Energy source, electromagnetic spectrum, radiation principle, platforms and sensors – Active and passive remote sensing interference – Atmospheric effects on remote sensing – Energy interaction with earth surface feature – Data acquisition – Reflectance, spectral signatures for water, soil and vegetation.- Satellites – Types – Sun synchronous – Geo synchronous remote sensing satellites – LANDSAT,SPOT & IRS – Resolution – Spectral, spatial, radiometric and Temporal resolution – Recent satellites with its applications

UNIT II DATA PRODUCTS AND IMAGE ANALYSIS

Data products –based on level of processing- o/p – scale – area/coverage – data availability – data ordering- data price – Image interpretation – Visual interpretation elements – interpretation key. Digital image processing – Image enhancement – image classification – Supervised and unsupervised – Vegetation Indices.

UNIT III CONCEPTS OF GIS

Definition – Map and their influences – Characteristics of Maps – Elements – Map scale, Projection, Coordinate systems – Sources of spatial data – History and development of GIS – Definition – Components – Hardware and Software.

UNIT IV DATA INPUT AND ANALYSIS

Data – Spatial, Non-Spatial – Database models – Hierarchical network, Relational and Object Oriented Data Models – Raster and Vector – Methods of Data input – Data Editing – Files and formats – Data structure – Data compression. Introduction to analysis – Measurements – Queries – Reclassification – Simple spatial analysis – Buffering – Neighboring functions – Map overlay – Vector and raster – Spatial interpolation – Modelling in GIS – Digital Elevation Modelling – Expert systems

UNIT V APPLICATION OF RS AND GIS

Crop Acreage estimation – Estimation of Crop Water Requirement – Crop condition – Soil mapping – classification of soil with digital numbers – soil erosion mapping- reservoir sedimentation using image processing – Inventory of water resources – water quality assessment – Application of Remote Sensing and GIS in Precision Agriculture – Monitor Crop Health – Management Decision Support Systems

TOTAL: 45 PERIODS
TEXTBOOKS:

1. Anji Reddy. M, Remote Sensing and Geographical Information Systems, BS Publications, Hyderbad, 2001
2. Lillesand, T. M., and Kiefer, R.W., Remote Sensing and Image Interpretation, John Wiley and Sons, New York, 2000.

REFERENCES:

1. Bettinger, P., and Michael, G.W., “Geographical Information System: Applications in Forestry and Natural Resources Management,” Tata McGraw–Hill Higher Education, New Delhi, 2003
2. Ian Heywood., “An Introduction to GIS”, Pearson Education, New Delhi, 2001.
3. Jeffery Star and John Estes, “Geographical Information System – An Introduction,” Prentice Hall India Pvt. Ltd., New Delhi, 1998.
4. Patel A.N & Surendra Singh, “Remote sensing principles & applications”, Scientific Publishers , Jodhpur 1992

COURSE OUTCOMES

CO1 Understand the remote sensing principles and systems.
CO2 Gain sufficient knowledge on satellite data processing and available data products.
CO3 Know the concept of GIS and its tools.
CO4 Have knowledge on data input and analysis techniques.
CO5 Utilize these advanced techniques in addressing the real world problems.