Abstract: Change detection is the measure of the distinct data framework and thematic change information that can guide to more tangible insights into underlying process involving land cover and land use changes than the information obtained from continuous change. This research demonstrates how remote sensing techniques can be integrated into monitoring process, allowing the regulatory monitoring coastline to do so more efficiently and help avoid or minimize the adverse effects .The first aim of this study is to test change detection by Discriminate change detection technique on Hodida city –Yemen coastline. Second to test cloud computing benefits on change detection study. Cloud computing is not magic tool to solve all problems, cloud computing Improvement in geo information software will allow easily implement and hence monitoring spatial data with low cost although it is under research. This study investigates the coastline changes in Hodeida, Yemen between 1972 till 2010; using Land sat TM/ETM+images. As they notice erosion of cost and sedimentation in some area. This will need to integrate GIS with remote sensing and could compute server (Apollo). This study has been done after a lot of complaints from area citizens; some area has erosion and reason for that immigration from their home. We used arc gis 10.2, erdas Imagine 2014, erdas Apollo server and Google earth.
Keywords: Cloud computing, Discriminate Change Function, Image Difference, Apollo
Title: Coastline change detection on Tehama City using Remote Sensing and cloud computing
Author: Shaima AL-GABLI, Osman Hegazy
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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