Comparative Study of Theories of Change Detection Methods in Landuse and Landcover Using Remote Sensing Techniques

Authors

  • Olaniyi Saheed S  Federal School of Surveying, Oyo, P.M.B. 1024, Oyo, Oyo State Nigeria
  • Qaadri Jeleel A  Federal School of Surveying, Oyo, P.M.B. 1024, Oyo, Oyo State Nigeria

Keywords:

Change Detection, Remote sensing, Landuse, Landcover, Change Detection Techniques

Abstract

Landcover is the natural surface of the earth undisturbed by human activities. It represents vegetation, natural or man-made features and every other visible evidence of land use. Landuse on the other hand refers to the use of land by humans. Change detection is a process of identifying differences in the state of an object or phenomenon by observing it in different times. Techniques of change detection identified in this paper are pre-classification and post-classification change detection which includes image differencing, image ratioing, change vector analysis, principal component analysis, post classification comparison, etc. Various results were achieved by different researchers based on the change detection techniques and data used; Post-classification comparison was adjudged to be the most accurate procedure and presented the advantage of indicating the nature of the changes. Most studies adopted one change detection technique and visual interpretation without comparison for errors detections or inaccuracies in the change detection processes.

References

  1. Jo Henssen, "Basic Principle of the Main Cadastral Systems in the World," Delft, The Netherlands, 1995. [Online]. www.fig.net/organisation/comm//7/activities/reports/events/Delft_seminar_95/paper2.html
  2. UN-Habitat. (2017) www.unhabitat.org/land. [Online]. www.unhabitat.org/land
  3. JI. Igbokwe, C. Njike, and K. U. Orisakwe, "Analysis of Landuse and Landcover Changes of Aba Urban Using Medium Resolution Satellite Imageries," in FIG Working Week 2011, Marrakech, Morrocco, 2011, p. 2.
  4. Jwan, Shattr, and Helmi, "Change Detection Process and Techniques," International Institute of Science, Technology and Education Research Journal. Vol.3, No.10, 2013, pp. 37-45, 2013.
  5. Lillesand, Kiefer, and Chipman, Remote Sensing and Image Interpretation. New Delhi: Ar Emm International, 2014.
  6. C Lo and R. L. Shipman, "A GIS approach to land-se change dynamics detection," Photogrametric Engineering and Remote Sensing, vol.56, No.11, pp. 1483-1491, 1990.
  7. M Nordberg and J. Evertson, "Monitoring Change in Mountainous Dry-heath Vegetation at a Regional ScaleUsing Multitemporal Landsat TM Data, vol. 32,No. 8," A Journal of the Human Environment, pp. 502-509., 2003.
  8. J R. Jensen, Introductory Digital Image processing: A Remote Sensing Perspective, 2nd Edition. New Jersey: Prentice Hall Inc., 2005.
  9. Stoney W., "Guide to land imaging satellites," American Society for Photogrammetry and Remote Sensing.vol.2, p. 2006, 2006.
  10. D Lu, P. Mususel, E. Brondizio, and E Moran, "change Detection Techniques," International Journal of Remote Sensing, vol.25, No.12, pp. 2365-2407, 2004.
  11. P.R. Coppin and M. E. Bauer, "Digital Change Detection in forest ecosystems with remote sensing imagery,vol13(3)," Remote Sensing Reviews, pp. 207-234, 1996.
  12. C. P. Lo and K. W. Yeung Albert, Concept and Techniques in Geographic Information Systems.: Prentice Hall, 2007.
  13. H. Bakker Wim and etal, Principle of Remote Sensing; An Introductory Textbook. Enschede, The Netherlands: The International Institute of Geo-Information Science and Earth Observation (ITC), 2001.
  14. J. I. Igbokwe, Geospatial Information, Remote Sensing and Sustainable Development in Nigeria. Enugu: El 'Demak Publishers, 2010.
  15. Yohanna, Bulus, and Alfred, "Landuse/Landcover change detection of Mubi metroplolis, Adamawa State, Nigeria," Sky Journal of Soil Science and Environmental Management, Vol. 4(6), pp. 70-78, 2015.
  16. Tadesse, Coleman, and Tsegaye, "Improvement of Landuse and Landcover Classisfication of an Urban Area using Image Segmentation from Landsat ETM+ Data," 2006.
  17. J. Anderson and etal, "A Land Use and Land Cover Classification System for Use with Remote Sensor Data," USGS, Washington, D. C., 1976.
  18. Y. O. Afonja, "Gis As An Effective Monitoring Tool For Urban Spatial Expansion In Growing Cities," University of Lagos, 2014.
  19. Ayodeji Zubair, "Change Detection in Land Use and Land Cover Using Remote Sensing Data and GIS. (A Case Study of Ilorin and Environs in Kwara State)," University of Ilorin, Ilorin, Nigeria, MSc Thesis 2006.
  20. Bhatt Abhishek, "A review of change detection techniques," Indian Institute of Technology, Roorkee, Seminar November 8, 2012. [Online]. https://www.slideshare.net/abhishek_bhatt/a-review-of-change-detection-techniques
  21. J. F. Mas, "Monitoring land-cover changes: A comparison of change detection techniques.," International Journal of Remote Sensing, 20(1), doi: 10.1080/014311699213659, pp. 139-152, 1999.
  22. R.D. Johnson and E. Kasischke, "Change vector analysis: a technique for the multispectral monitoring of landcover and condition," International Journal of Remote Sensing, vol. 19, No.3, pp. 411-426, 1998.
  23. A Singh, "Digital change detection techniques using remotely-sensed data.," International Journal of Remote Sensing, 10(6), doi: 10.1080/01431168908903939, pp. 989 ? 1003, 1989.

International Journal of Scientific Research in Science and Technology

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Published

2018-10-30

Issue

Volume 4, Issue 10, September-October-2018

Section

Research Articles

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How to Cite

[1]
Olaniyi Saheed S, Qaadri Jeleel A, " Comparative Study of Theories of Change Detection Methods in Landuse and Landcover Using Remote Sensing Techniques, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 10, pp.257-267, September-October-2018.