PRACTICAL (Statistical Techniques and Introduction to Remote Sensing and GIS)

Paper Code: 
GEO-225
Credits: 
4
Contact Hours: 
120.00
Max. Marks: 
100.00

Quantitative Geography: Meaning, applications of quantitative geography, spatial data, distance, representing spatial data, problems and opportunities.

Review of Basic Statistics: Sampling distribution of the mean, estimation process, point estimates, interval estimates, confidence interval estimation for the

Mean, determining sample size.

Theory of probability, Probabilities of distribution: Normal and binomial, Poisson sampling, estimation and level of confidence, Hypothesis: development  and testing.

Parametric test, analysis of means, analysis of variance, one way and two way

Aerial photo interpretation

  • Understanding the fundamentals of Aerial Photographs like principle points, isocentre, Fiducail points  number of runs and number of photographs
  • Identification of objects and features; Interpretation Keys and Image interpretation of Remote Sensing data, Identification of cultural and physical features on the image.

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
References: 
  1. Suggested Reading: Bohrnstedt, G. W., and D. Knoke, 1988: Statistics for Social Data     
  2. Analysis, 2nd Edition, F.E. Peacock Publishers, Inc., Itasca, IL. Good treatment of contingency tables.
  3. Draper, N. R., and H. Smith, 1981: Applied Regression Analysis: 2nd Edition, John
  4. Wiley & Sons, New York, NY. Mathematical treatment of regression.
  5. Fotheringham, A. S., C. Brunsdon, and M. Charlton, 2000: Quantitative Geography:
  6. Perspectives on Spatial Data Analysis, Sage. A survey of quantitative methods used
  7. in geography.
  8. Gonick, L., and W. Smith, 1993: The Cartoon Guide to Statistics, HarperPerennial,
  9. New York, NY. Reviews basic statistics including simple regression.

 

 Remote Sensing: Books Recommended

1. Campell, J. B. (2003): Introduction to Remote Sensing. 4th ed. Taylor and Francis, London.

2. Cracknell, A. and Ladson, H (1990): Remote Sensing Year Book. Taylor and Francis, London.

3. Curran, P.J. (1985): Principles of Remote Sensing. Longman, London.

4. Deekshatulu, B.L. and Rajan, Y.S. (ed.) (1984): Remote Sensing. Indian Academy of Science, Bangalore.

5. Floyd, F. and Sabins, Jr. (1986): Remote Sensing: Principles and Interpretation. W.H. Freeman, New York.

6. Gautam, N.C. and Raghavswamy, V. (2004): Land Use/ Land Cover and Management Practices in India. B.S. Publications., Hyderabad.

7. Harry, C.A. (ed.) (1987): Digital Image Processing. IEEE Computer Society, California.

8. Hord, R.M. (1982): Digital Image Processing of Remotely Sensed Data. Academic Press, New York.

9. Jensen, J.R. (1986): Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice-Hall, Englewood Cliffs, New Jersey.

10. Jensen, J.R. (2004): Remote Sensing of the Environment: An Earth Resource Perspective. Prentice-Hall, Englewood Cliffs, New Jersey. Indian reprint available.

11. Lillesand, T.M. and Kiefer, R.W. (2000): Remote Sensing and Image Interpretation. John Wiley and Sons, New York.

12. Nag, P. (ed.) (2000): Thematic Cartography and Remote Sensing. Concept Publishing. Company, New Delhi.

13. Nag, P. and Kudrat, M (1998): Digital Image Processing, Concept Publishing Company, New Delhi.

14. Rampal, K.K. (1999): Handbook of Aerial Photography and Interpretation. Concept Publishing. Company, New Delhi.

15. Reeves, R.G. (ed.) (1983): Manual of Remote Sensing, Vols. 1 and 2. American Society of Photogrammetry and Remote Sensing, Falls Church, Virgini

Academic Year: 
2018-2019