Practical

Paper Code: 
RES133
Credits: 
4
Contact Hours: 
120.00
Max. Marks: 
100.00
Objective: 
On completion of this course, the students will be able to get introduced with the analysis and interpretation of Aerial Photographs using hardware and software, to learn about aerial photo interpretation, To learn about identification objects and features and interpretation of images.To get introduced with GPS; GPS, Remote sensing and GIS integration To learn about Techniques of mapping using RS or GIS Software by using following stages

 

24.00
Unit I: 
The analysis and interpretation of Aerial Photo and Learning the techniques by using following items, hardware and software
 Satellite imagery of Jaipur region
 Stereoscope
 Tracing table
 Computers
 RS or GIS Software
 
24.00
Unit II: 
Aerial photo interpretation
 Understanding the fundamentals of Aerial Photographs like principle points, isocentre, Fiducail points, number of runs and number of photographs.
24.00
Unit III: 
 Identification of objects and features; Interpretation Keys and Image interpretation of Remote Sensing data, Identification of cultural and physical features on the image.
 
24.00
Unit IV: 
 Introduction to GPS; GPS, Remote sensing and GIS integration;
 Graphic User Interface of RS Software – GIS Software
 Data Input: Spatial and Non-Spatial; Scanning, Digitizing and; Data Import and Export; Data Registration
 
24.00
Unit V: 
Techniques of mapping using RS or GIS Software by using following stages
 GIS: Geo-referencing: on-screen digitization of polygons, points and lines, Editing, adding attributes
 Tabulation of the map related data, Integration of Spatial and Non Spatial data and Query making and Finalization of Map
Essential Readings: 
 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)
 Curran, P.J. (1985): Principles of Remote Sensing, Longman, London.
 Deekshatulu, B.L. and Rajan, Y.S. (ed.) (1984): Remote Sensing. Indian Academy of Science, Bangalore.
Academic Year: 
2023-2024