Abstract
Shoreline change due to erosion and accretion is a major concern for integrated coastal zone management. The dynamic coastlines, such as the Nile Delta coast, pose considerable dangers regarding the coastal development. Accordingly, rapid techniques are required to update coastline maps of these areas and monitor rates of movement.
In this study, supervised classification and post-classification change detection techniques were applied to Landsat images acquired in 1984, 1990, 2005, and 2014, respectively, to detect changes in land cover and extract shoreline, hence identifying erosion and accretion areas around Rosetta promontory. This method provides a viable means for examining long-term shoreline changes. Four categories, including seawater, developed (agriculture and urban), sabkha (salt-flat), and undeveloped areas, were selected to evaluate their temporal changes by comparing the four selected images.
The shoreline was mapped by applying two different techniques: (1) a histogram threshold of Band 5 and (2) a combination of histogram threshold of Band 5 and two band ratios (Band 2/Band 4 and Band 2/Band 5). It was found that the developed area increased by 8.8% although the land in the study area has been contracted by 1.6% due to coastal erosion. The shoreline retreat rate has decreased more than 70% from 1984 to 2014. Nevertheless, it still suffers from significant erosion with a maximum rate of 37 m/year.
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Masria, A., Negm, A.M., Iskander, M. (2016). Assessment of Nile Delta Coastal Zone Using Remote Sensing. In: Negm, A. (eds) The Nile Delta. The Handbook of Environmental Chemistry, vol 55. Springer, Cham. https://doi.org/10.1007/698_2016_55
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DOI: https://doi.org/10.1007/698_2016_55
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