Land Cover Change Detection in Garabulli using Remote Sensing and GIS Techniques in the period of 1992 to 2010

Authors

  • Moneer Imran Abdu Salam Libyan Academy- Land Sciences Department
  • Mukhtar Mahmud Elaalem Faculty of Agriculture, University of Tripoli, Tripoli, Libya.
  • Mustafa Shaker Dribika Faculty of Agriculture, University of Tripoli, Tripoli, Libya.
  • Ahmed Ekhmaj Faculty of Agriculture, University of Tripoli, Tripoli, Libya.
  • Younes Ezlit Faculty of Agriculture, University of Tripoli, Tripoli, Libya.

DOI:

https://doi.org/10.54172/mjsc.v31i1.218

Keywords:

Remote Sensing, Supervised Classification, Land Cover, Garabulli

Abstract

This study aimed to monitor the change in land cover in Garabulli regionduring the period (1992 - 2010) by using remote sensing technique. The satellite imagesused in this study were obtained from the satellite Spot 4 for each of years of 1992 and 2000 and Spot 5 for year 2010.  The supervised classification was performed on the Spot images using maximum likelihood classification. The land cover changes were detected during different times by land cover maps which were produced using ENVI software. The results have revealed clear changes in the land cover whereas barren land, agricultural land, and urban area have been increased by 37.6%, 35.1%, and 28% between 1992 and 2010, respectively. Meanwhile, forest and rangeland were decreased between 1992 and 2010 by 65% and 41%, respectively. The results showed that declining of forest and rangeland may lead to rapidly increase of desertification. Additionally, the present study revealed that the remote sensing techniques can be used effectively in monitoring and interpreting the changes which may occur in the land cover.

 

Downloads

Download data is not yet available.

References

عبد الصمد، شعبان إمحمد. (2003). استخدام تقنيات الاستشعار عن بعد ونظم المعلومات الجغرافية في مراقبة تدهور الأراضي (بئر كوكا) بسهل الجفارة. أطروحة ماجستير، قسم التربة والمياه، كلية الزراعة، جامعة طرابلس.

قليدان، جمال على. (1994). استخدام الصور المستشعرة عن بعد في البحث عن الترب الزراعية وتصنيفها. أطروحة ماجستر، قسم الهندسة المدنية، كلية الهندسة، جامعة طرابلس.

مصلحة الأرصاد الجوية. (2008). قسم المناخ. طرابلس، ليبيا.

Anderson, J. R., E. E. Hardy, J. T. Roach and R. E. Witmer. (1976). A land use and land cover classification system for use with remote sensor data. US geological survey professional paper 964, Sioux Falls, SD, USA. DOI: https://doi.org/10.3133/pp964

Arai, K. (1993). A classification method with a spatial-spectral variability, International Journal of Remote Sensing., 14: 699-709. DOI: https://doi.org/10.1080/01431169308904369

Al-Gaadi, K. and S. P. Samdani. (2011). Assessment of temporal land cover changes in Saudi Arabia using remotely sensed data. Middle East journal of scientific Research., 6:711-717.

Comber, A. J. (2008). The separation of land cover from land use with data primitives. Journal of Land Use Science, 3: 215-229. DOI: https://doi.org/10.1080/17474230802465173

Elaalem, M. M., Y. D. Ezlit, A.U. Elfghi and F. F. Abushnaf. (2013). Performance of supervised classification for mapping land cover and land use in Jeffara Plain of Libya. International Proceedings of Chemical, Biological and Environmental Engineering IPCBEE, 55: 33-37.

Ghodieh, A. R. (2000). An evaluation of satellite remote sensing for crop area estimation in the west bank, Palestine. Doctoral thesis, Durham University, Durham, UK.

Njike C. (2010). Analysis of land cover and land use changes in Aba Urban area using Medium Resolution Satellite Imageries. M.Sc. thesis, Nnamdi Azikiwe University, Awka Anambra State, Nigeria.

Solkhozprom Export. Soil Ecological Expedition, USSR. (1980). Soil studies in the Western Zone. Secret of Agr. Reclamation and Land Development. Tripoli, Libya.

Turner, B. L., D. Skole, S. Sanderson, G. Fischer, L. Fresco and R. Leemans. (1995). Land-use and land-cover change science/research plan. The international geosphere-biosphere programme: A study of global change (IGBP) of the international council of scientific unions (ICSU) and the human dimensions of global environmental change programme (HDP) of the international social science council (ISSC), Stockholm and Geneva.

Yuan, F., K. E. Sawaya, B. C. Loeffelholz and M. E. Bauer. (2005). Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multi-temporal Landsat remote sensing. Remote Sensing of Environment, 98: 317–328. DOI: https://doi.org/10.1016/j.rse.2005.08.006

Published

2016-06-30

How to Cite

Abdu Salam, M. I. ., Elaalem, M. M., Dribika, M. S. ., Ekhmaj, A. ., & Ezlit, Y. . (2016). Land Cover Change Detection in Garabulli using Remote Sensing and GIS Techniques in the period of 1992 to 2010. Al-Mukhtar Journal of Sciences, 31(1), 92–107. https://doi.org/10.54172/mjsc.v31i1.218

Issue

Section

Research Articles

Categories