Change Detection of Manzala Lake Using Remote Sensing and Geographic Information System | ||||
| The Egyptian International Journal of Engineering Sciences and Technology | ||||
| Article 13, Volume 19, EIJEST, Vol. 19, 2016, June 2016, Page 353-358 PDF (687.43 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/eijest.2016.97146 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| H Hossen1; A NEGM2 | ||||
| 1Ph.D. Student, Department of Environmental Engineering, Egypt-Japan University of Science and Technology E-JUST, P.O. Box 179, New Borg | ||||
| 2Department of Environmental Engineering, Egypt-Japan University of Science and Technology E-JUST, P.O. Box 179, New Borg | ||||
| Abstract | ||||
| Change detection in land use and land cover is one of the most important indicators of global and regional environmental sustainability. In this paper, the maximum likelihood supervised classification is applied to subsets of the Landsat TM, ETM+ and OLI/TIRS images acquired on 1984, 1998 and 2015, respectively to monitor changes in Manzala Lake. Manzala Lake is the largest natural lake in Egypt, it is located between longitudes 31° 45ʹ and 32° 22ʹ E and latitudes 31° 00ʹ and 31° 35ʹ N. Six classes are detected including sea water, lake water (water bodies), floating vegetation, Islands, sand bar and urban, and agriculture. ERDAS IMAGINE and ArcGIS software are used in this study for processing of the images and managing the database of each image. The results showed that the water bodies of the lake decreased by 57.06% (47,419.1 ha), while floating vegetation and islands area increased mostly by the same amount during the period from 1984 to 2015. This increase in floating vegetation is due to the discharge of agriculture wastes and municipal wastes in the lake without adequate treatment. The sea water has minor changes during the period of study. The agriculture area increased by 28.57% (19,285.6 ha), while the sand bar and urban area decreased mostly by the same amount during the period from 1984 to 2015. The future prediction was conducted using the annual rate of change over the next 15 years, resulted from this prediction that the water bodies of the lake will be reduced by 84.67% (70,363.85 ha), and this decrease leads to a negative impact on fisheries and the environment. The results of this study shall help the decision-makers to take the necessary measures to reduce the environmental risk and maintain the lake in order to sustain the lake water area against further reduction. | ||||
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