Remote Sensing and GIS

Paper Code: 
GEO 423 A
Credits: 
5
Contact Hours: 
75.00
Max. Marks: 
100.00
15.00

Principles, types and scope of remote sensing, principal of  energy radiation, aerial photography,stages in remote sensing data acquisition, EMR with atmosphere and earth’s surface feature, Remote sensing platforms, type of orbital characteristics, sensor types and their operating principles, microwave remote sensing,

15.00

Introduction to Photogrammetry; Aerial photographs: Types Characteristics; Scale and Geometry Aerial photographs, Relief displacement.

15.00

Definition and scope of GIS; Components of GIS; developm ent of GIS. Implications of spherical and planar coordinate systems and their transformations in GIS; Georeferencing and implications of earth’s shape and datum in GIS.

15.00

 Data model: Raster and Vector models for geographic data representation; GIS data standards—concepts and components; Digital Elevation Model (DEM): process, derivatives and applications.

15.00

Remote sensing and GIS integration, Introduction to GPS, Application of remote sensing in land use and land cover and its classification system

References: 

 Basudeb Bhatta, Remote sensing and GIS, Oxford University Press, Nov 2011

Lillesand, Remote Sensing And Image Interpretation, 5Th , John Wiley & Sons, 2007.

Walsh, A. and J. C. Ollenburger, 2000: Essential Statistics for the Social and Behavioral Sciences: A Conceptual Approach. Prentice Hall, pp. 320. ISBN-13: 978-0130193391

Adrados, C., Girard, I., Gendner, J., & Janeau, G. (2002). Global Positioning System (GPS) location accuracy due to selective availability removal. C. R. Biologies, 325, 165-170.

Arvanitis, L., Ramachandran, B., Brackett, D., Rasoul, H., & Du, X. (2000). Multiresource inventories incorporating GIS, GPS and database management systems: A conceptual model. Computers and Electronics in Agriculture, 28, 89-100.

Ellis, E. A., Nair, P. K. R., Linehan, P. E., Beck, H. W. & Blance, C. A. (2000). A GIS-based database management application for agroforestry planning and tree selection. Computers and Electronics in Agriculture, 27, 41-55.

Academic Year: