Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)

Coastal areas are one of the most crucial and important area in each country. They are also one the most dynamics area, which undergo significant changes in relatively short periods. Protecting coastlines from erosion and/or sedimentation thus, is one of the most important duties in each country. In...

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Main Authors: Danial Ghaderi, Maryam Rahbani
Format: Article
Language:English
Published: Iranian Association of Naval Architecture and Marine Engineering 2020-02-01
Series:International Journal of Coastal and Offshore Engineering
Subjects:
Online Access:http://ijcoe.org/article-1-174-en.html
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author Danial Ghaderi
Maryam Rahbani
author_facet Danial Ghaderi
Maryam Rahbani
author_sort Danial Ghaderi
collection DOAJ
description Coastal areas are one of the most crucial and important area in each country. They are also one the most dynamics area, which undergo significant changes in relatively short periods. Protecting coastlines from erosion and/or sedimentation thus, is one of the most important duties in each country. In this study, shoreline change in the Beris Port - east of Chabahar, Iran, was investigated using remote sensing technique and DSAS tools. Beris Port is located 85 km east of Chabahar, on the Makran coast. Landsat 8 and 5 satellite images were used to detect shoreline change, due to the portchr('39')s construction date, satellite imagery of 1988, 1990, 2014 and 2019 was used. Using the NSM, SCE, EPR and LRR statistical indexes of the DSAS tool, erosion and accretion rates were calculated in for the area. According to the LRR index, the lowest shoreline change rate is -1.51 m/year and is detected to be to the east of port. The highest rate of shoreline change is 7.44 m/year at the port. According the results, the main reason for this high rate of change is the location of the port, which is in the area perpendicular to its neighborhood coastal area, which causes to trap the current in this area to increase its dynamic activities. Shortly speaking, it was found that the accretion is dominant in port Beris and east of the port is the zone with least amount of accretion.
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spelling doaj.art-8fda56f5645a4af5b4b48341bf9811752022-12-21T22:27:10ZengIranian Association of Naval Architecture and Marine EngineeringInternational Journal of Coastal and Offshore Engineering2538-26672588-31862020-02-013418Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)Danial Ghaderi0Maryam Rahbani1 University of Hormozgan University of Hormozgan Coastal areas are one of the most crucial and important area in each country. They are also one the most dynamics area, which undergo significant changes in relatively short periods. Protecting coastlines from erosion and/or sedimentation thus, is one of the most important duties in each country. In this study, shoreline change in the Beris Port - east of Chabahar, Iran, was investigated using remote sensing technique and DSAS tools. Beris Port is located 85 km east of Chabahar, on the Makran coast. Landsat 8 and 5 satellite images were used to detect shoreline change, due to the portchr('39')s construction date, satellite imagery of 1988, 1990, 2014 and 2019 was used. Using the NSM, SCE, EPR and LRR statistical indexes of the DSAS tool, erosion and accretion rates were calculated in for the area. According to the LRR index, the lowest shoreline change rate is -1.51 m/year and is detected to be to the east of port. The highest rate of shoreline change is 7.44 m/year at the port. According the results, the main reason for this high rate of change is the location of the port, which is in the area perpendicular to its neighborhood coastal area, which causes to trap the current in this area to increase its dynamic activities. Shortly speaking, it was found that the accretion is dominant in port Beris and east of the port is the zone with least amount of accretion.http://ijcoe.org/article-1-174-en.htmlberis portdsasremote sensingshoreline change
spellingShingle Danial Ghaderi
Maryam Rahbani
Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)
International Journal of Coastal and Offshore Engineering
beris port
dsas
remote sensing
shoreline change
title Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)
title_full Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)
title_fullStr Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)
title_full_unstemmed Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)
title_short Detecting shoreline change employing remote sensing images (Case study: Beris Port - east of Chabahar, Iran)
title_sort detecting shoreline change employing remote sensing images case study beris port east of chabahar iran
topic beris port
dsas
remote sensing
shoreline change
url http://ijcoe.org/article-1-174-en.html
work_keys_str_mv AT danialghaderi detectingshorelinechangeemployingremotesensingimagescasestudyberisporteastofchabahariran
AT maryamrahbani detectingshorelinechangeemployingremotesensingimagescasestudyberisporteastofchabahariran