Abstract
Change detection in the land use and land cover (LU and LC, respectively) is known as one of the most important indicators of global and regional environmental sustainability. Also, change detection in LULC is one of the most important and sound environmental management tools for sustainable development. In this paper, the maximum likelihood supervised classification is applied to subsets of the Landsat TM, ETM+, and OLI/TIRS images to monitor changes in the Burullus Lake and Manzala Lake. Burullus Lake is the second largest of the Egyptian northern lakes along the Mediterranean coast. Five classes are detected including seawater, lake water, sandbar and urban, floating vegetation, 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 show that the lake water area decreased by 38.01% (10,882.5 ha), while floating vegetation area increased mostly by the same amount during the period from 1990 to 2015. This increase in floating vegetation is due to the discharge of agricultural and municipal wastes in the lake without adequate treatment. The seawater has minor changes during the period of study. Other classes show remarkable changes over the time from 1990 to 2015. Manzala Lake is the largest natural lake in Egypt; it is located between longitudes 31°45′ and 32°22′E and latitudes 31°00′ and 31°35′N. Six classes are detected including seawater, lake water (water bodies), floating vegetation, islands, sandbar 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 show that the water bodies of the lake decreased by 57.06% (47,419.1 ha), while floating vegetation and island 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 agricultural and municipal wastes in the lake without adequate treatment. The seawater has minor changes during the period of study. Other classes show remarkable changes over the time from 1984 to 2015. The future prediction was conducted using the annual rate of change over the next 15 years; the results from this prediction showed 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 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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References
Hegazy I, Kaloop M (2015) Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. Int J Sustain Built Environment. doi:10.1016/j.ijsbe.2015.02.005
Petit C, Scudder T, Lambin E (2001) Quantifying processes of land-cover change by remote sensing: resettlement and rapid land-cover changes in southeastern Zambia. Int J Remote Sens 22(11):3435–3456
Sohl L, Sohl B (2012) Land-use change in the atlantic coastal pine barrens ecoregion. Geogr Rev 102(2):180–201
Singh A (1989) Digital change detection techniques using remotely-sensed data. Int J Remote Sens 10(6):989–1003
Lunetta R, Knight F, Ediriwickrema J, Lyon J, Worthy L (2006) Land cover change detection using multi-temporal MODIS NDVI data. Remote Sens Environ 105:142–154
Turner B, Meyer W, Skole D (1994) Global landuse/land-cover change: towards an integrated study. Ambio 23(1):91–95
Lambin E, Geist H, Lepers E (2003) Dynamics of land-use and land-cover change in tropical regions. Annu Rev Environ Resour 28:205–241
Anderson R, Roach T, Witmer E (1976) A land use and land cover classification system for use with remote sensing data. US Geological Survey Professional paper 964
Huang H, Legarsky J, Othman M (2007) Land cover classification using Radarsat and Landsat imagery for St. Louis, Missouri. Photogramm Eng Remote Sens 73:37–43
Shalaby A, Tateishi R (2007) Remote sensing and GIS for mapping and monitoring land cover and land use changes in the Northwestern coastal zone of Egypt. Appl Geogr 27:28–41
Zalat A, Vildary S (2005) Distribution of diatom assemblages and their relationship to environmental variables in the surface sediments of three northern Egyptian lakes. J Paleolimnol 34(2):159–174
Donia N, Farag H (2012) Monitoring burullus lake using remote sensing techniques. In: Sixteenth international water technology conference, IWTC 16 2012, Istanbul, Turkey
Donia N, Hussein M (2004) Eutrophication assessment of lake manzala using GIS techniques. In: Eighth international water technology conference, IWTC 2004, Alexandria, Egypt
Hossen H, Ali F (2012) Practical aspects of using high resolution satellite images for map updating. In: Al-Azhar engineering international conference (AEIC), Cairo, Egypt, 25–27 December 2012
Mostafa Y (2006) Comparison of Land cover change detection methods using SPOT images. Master of Science, Department of Civil Engineering, Assiut University, Egypt
Story M, Congalton R (1986) Accuracy assessment: a user’s perspective. Photogramm Eng Remote Sens 52(3):629–643
Jensen J (1996) Introductory digital image processing: a remote sensing perspective, 2nd edn. Prentice-Hall, Englewood Cliffs
Hossen H, Negm A (2016) Change detection of Manzala Lake using remote sensing and geographic information system. Egypt Int J Eng Sci Technol 19(2) (2016-Special Issue): 353–358
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The authors would like to thank the ICESA2016 and 42nd Int. Conf. of AEAS for their permissions to include in this chapter some materials of our papers published by them.
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Negm, A.M., Hossen, H. (2016). Sustainability of Water Bodies of Northern Egyptian Lakes: Case Studies, Burrulus and Manzalla Lakes. In: Negm, A. (eds) The Nile Delta. The Handbook of Environmental Chemistry, vol 55. Springer, Cham. https://doi.org/10.1007/698_2016_65
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DOI: https://doi.org/10.1007/698_2016_65
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