Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques
This study presents the shoreline position changes of Yanbu coastal zone from 1965 to 2109, using multitemporal satellite data and the Digital Shoreline Analysis System (DSAS) application. The shoreline change rates were calculated based on End Point Rate (EPR), Linear Regression Rate (LRR), Weighte...
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Online Access: | http://dx.doi.org/10.1080/16583655.2020.1773623 |
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doaj-2b798b3f2a6f4fe29a0c974745b1b4cb2021-01-26T12:13:35ZengTaylor & Francis GroupJournal of Taibah University for Science1658-36552020-01-0114176277610.1080/16583655.2020.17736231773623Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniquesAbdoul Jelil Niang0Geography Department, Umm Al-Qura UniversityThis study presents the shoreline position changes of Yanbu coastal zone from 1965 to 2109, using multitemporal satellite data and the Digital Shoreline Analysis System (DSAS) application. The shoreline change rates were calculated based on End Point Rate (EPR), Linear Regression Rate (LRR), Weighted Linear regression (WLR) and Net Shoreline Movement (NSM) statistical methods to assess the short- and long-term trends. The maximum accretion reached was 1655.9 m (30.66, 32.32 and 36.9 m/year based on EPR, LRR and WLR methods respectively) while the maximum erosion was −1484.8 m (−37.9 m/year, −32.7 m/year and −33.5 m/year based on EPR, LRR and WLR methods respectively). An area of about 20 sq. km of sea and islets has been backfilled or dug in for various facilities. Thus, major changes in the configuration of the coastline are linked to human activities. This study provides a synoptic outlook of the degree of potential threat to the coastal system and their potential consequences.http://dx.doi.org/10.1080/16583655.2020.1773623shoreline changedsasgisyanbusaudi arabia |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abdoul Jelil Niang |
spellingShingle |
Abdoul Jelil Niang Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques Journal of Taibah University for Science shoreline change dsas gis yanbu saudi arabia |
author_facet |
Abdoul Jelil Niang |
author_sort |
Abdoul Jelil Niang |
title |
Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques |
title_short |
Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques |
title_full |
Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques |
title_fullStr |
Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques |
title_full_unstemmed |
Monitoring long-term shoreline changes along Yanbu, Kingdom of Saudi Arabia using remote sensing and GIS techniques |
title_sort |
monitoring long-term shoreline changes along yanbu, kingdom of saudi arabia using remote sensing and gis techniques |
publisher |
Taylor & Francis Group |
series |
Journal of Taibah University for Science |
issn |
1658-3655 |
publishDate |
2020-01-01 |
description |
This study presents the shoreline position changes of Yanbu coastal zone from 1965 to 2109, using multitemporal satellite data and the Digital Shoreline Analysis System (DSAS) application. The shoreline change rates were calculated based on End Point Rate (EPR), Linear Regression Rate (LRR), Weighted Linear regression (WLR) and Net Shoreline Movement (NSM) statistical methods to assess the short- and long-term trends. The maximum accretion reached was 1655.9 m (30.66, 32.32 and 36.9 m/year based on EPR, LRR and WLR methods respectively) while the maximum erosion was −1484.8 m (−37.9 m/year, −32.7 m/year and −33.5 m/year based on EPR, LRR and WLR methods respectively). An area of about 20 sq. km of sea and islets has been backfilled or dug in for various facilities. Thus, major changes in the configuration of the coastline are linked to human activities. This study provides a synoptic outlook of the degree of potential threat to the coastal system and their potential consequences. |
topic |
shoreline change dsas gis yanbu saudi arabia |
url |
http://dx.doi.org/10.1080/16583655.2020.1773623 |
work_keys_str_mv |
AT abdouljelilniang monitoringlongtermshorelinechangesalongyanbukingdomofsaudiarabiausingremotesensingandgistechniques |
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