A Semi-Automated Approach for Mapping Geomorphology of El Bardawil Lake, Northern Sinai, Egypt, Using Integrated Remote Sensing and GIS Techniques
ARTICLE IN PRESS The Egyptian Journal of Remote Sensing and Space Sciences (2014) xxx, xxx–xxx National Authority for Remote Sensing and Space Sciences The Egyptian Journal of Remote Sensing and Space Sciences www.elsevier.com/locate/ejrs www.sciencedirect.com RESEARCH PAPER A semi-automated approach for mapping geomorphology of El Bardawil Lake, Northern Sinai, Egypt, using integrated remote sensing and GIS techniques Nabil Sayed Embabi a,*, Moawad Badawy Moawad a,b a Department of Geography, Faculty of Arts, Ain Shams University, Cairo, Egypt b Department of Biogeochemistry, Max Planck Institute for Chemistry, Mainz, Germany Received 19 November 2013; revised 20 February 2014; accepted 23 February 2014 KEYWORDS Abstract Among the other coastal lakes of the Mediterranean northern coast of Egypt, Bardawil Geomorphological mapping; Lake is a unique lagoon, as it is fed only by seawater. The lagoon is composed of two main basins, Semi-automated approach; and several other internal small basins interconnected to one another. Although the general geo- Bardawil Lake; morphologic characteristics are treated in some regional studies, we used a semi-automated Sinai approach based on a wide variety of digital image processing for mapping the major geomorpho- logical landforms of the lake on a medium scale of 1:250,000. The approach is based primarily on data fusion of Landsat ETM+ image, and validated by other ancillary spatial data (e.g. topo- graphic maps, Google images and GPS in situ data). Interpretations of high resolution space images by Google Earth and the large-scale topographic maps (1:25,000), in specific, revealed new micro- forms and some detailed geomorphologic aspects with the aid of GPS measurements.
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