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Lotfy Kamal Azaz

Lotfy Kamal Azaz

Menofya University
Egypt

Title: Detecting coastline changes using gis and remote sensing, a case study from oman

Biography

Biography: Lotfy Kamal Azaz

Abstract

Detecting changes are one of the most interesting applications of remote sensing ‎and GIS. Change detection often involves comparing satellite imagery of the area ‎taken at different times. Change detection has been widely used to assess ‎deforestation, urban growth, impact of natural disasters and use/land cover ‎changes. Coastal erosion can be detected as well by the same methods. Coastal ‎erosion is a universal phenomenon because of sea level rise, which is considered ‎a result of climate change. This paper aims to detect and measure coastline ‎changes of Wedam_Alsahel area, Batinah, north of Oman using GIS and remote ‎sensing. For this purpose, two satellite images were used. The first one is IRS ‎image acquired in 1998, while the second one is IKONOS image acquired in 2008. ‎The images were geometrically corrected. Spatial resolution of IKONOS image ‎was modified to conform to spatial resolution of IRS image to perform comparison ‎between images. Coastline was identified and digitized in both images, and then ‎coastline changes were measured in many locations along the coast of the area of ‎study. The size of coastline erosion ranged between 50.81 meter and 112.27 ‎meter. The average coastline erosion is 8.78 meter annually. This size of change ‎is very hazardous and it has great impacts on the population and environment. ‎This critical issue needs to be managed. The study introduced some ‎recommendations to deal with this phenomenon.‎