Author/Authors :
Alemi Safaval, P. MSc Student Remote Sensing and GIS ,- Faculty of Natural Resources and Environment - Islamic Azad University, Science and Research Branch, Tehran , Kheirkhah Zarkesh, M. Department of Remote Sensing and GIS -Faculty of Natural Resources and Environment - Islamic Azad University, Science and Research Branch,Tehran, Iran , Neshaei, S.A. Department of Civil Engineering - University of Guilan, Rasht, Iran , Ejlali, F. Department of Environment - Payame Noor University, Tehran, Iran
Abstract :
Coastal areas are continuously under the regional changing and interaction of land-sea resulting in the short and
long terms deformation. Study of beach morphology has been one of the most important issues in coastal
engineering research projects. Managing and controlling the shoreline changes and behavior are essential for all
marine projects and integrated coastal zone management policy in such environments. In the present study,
Guilan Province region was selected and an analysis of the coastal zone behavior was carried out based on the
available satellite images. According to results, we estimated the bed level changes and also submerged area,
resulting from a rise in sea level at different locations in the study area (from Anzali Port to Boujagh National
Park) and compared them with those obtained from the satellite images. The results were presented graphically
and changes in shorelines were estimated using ETM+ sensors and OLI images from 2002 to 2013 which can be
used for site selection and design of marine structures and establishing a data base for the coastal zone in the
study region. Laplacian filter was applied to satellite images to establish the shoreline and to clarify the effect of
ports and coastal structures constructed in the study region on beach and shoreline morphological changes. This
study is a combination of remote sensing and GIS systems with field surveys on the ground. The innovation of
this work is the application of Laplacian filter for shoreline detection and estimation of the sediment deposition
area by calculating the distance between the observed shorelines. This will lead to the better understanding of the
effect of coastal structures on the beach morphology using satellite images. The results show the remarkable
changes occurred in the shoreline due to the environmental and human-based effects during the eleven years
period. The present study can be considered as a contribution to the existing knowledge of the coastal process in
the study area and referred to as a basis for the future coastal research projects.
Keywords :
Caspian Sea , change detection , coastline , GIS , laplacian filter , remote sensing