Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco
Coastal zones are vital ecosystems increasingly impacted by erosion and human activities. Accurate and timely shoreline mapping is essential for understanding coastal dynamics, predicting erosion, and guiding sustainable management strategies. This study presents an automatic approach for coastline...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
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| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04024.pdf |
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| author | Souiri Smail Hakkou Mounir Haddaoui Hatim Oubdil Soufiane Lmrimed Nargiss |
| author_facet | Souiri Smail Hakkou Mounir Haddaoui Hatim Oubdil Soufiane Lmrimed Nargiss |
| author_sort | Souiri Smail |
| collection | DOAJ |
| description | Coastal zones are vital ecosystems increasingly impacted by erosion and human activities. Accurate and timely shoreline mapping is essential for understanding coastal dynamics, predicting erosion, and guiding sustainable management strategies. This study presents an automatic approach for coastline detection using the CoastSat toolbox and GIS tools, applied to Oued-Lou Beach, Morocco. By analyzing publicly available satellite imagery spanning over 30 years, the study generated detailed coastline maps over a 23-year period, revealing significant spatial and temporal variations in shoreline changes. Analysis with the Digital Shoreline Analysis System (DSAS) showed significant erosion along the entire coastline, with the most severe erosion observed around the mouth of Oued-Laou, where erosion rates exceeded -2 m/year. In contrast, the northern sector experienced alternating periods of accretion (up to 0.5 m/year) and moderate erosion (around -0.5 m/year). The southern sector showed accretion rates ranging from 0.5 m/year to 1 m/year, while the area between OL5 and Cap Targha exhibited substantial erosion exceeding -1 m/year. These findings highlight the need for tailored management strategies to mitigate erosion and promote sustainable development in this coastal region. |
| format | Article |
| id | doaj-art-1def41a2791f494488723d4c40c3a3be |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-1def41a2791f494488723d4c40c3a3be2025-02-05T10:49:24ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016070402410.1051/e3sconf/202560704024e3sconf_errachidia2024_04024Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, MoroccoSouiri Smail0Hakkou Mounir1Haddaoui Hatim2Oubdil Soufiane3Lmrimed Nargiss4Laboratory of Geophysics and Natural Hazards, Department of Geology, Scientific Institute, Mohammed V University in RabatLaboratory of Geophysics and Natural Hazards, Department of Geology, Scientific Institute, Mohammed V University in RabatLaboratory of Geophysics and Natural Hazards, Department of Geology, Scientific Institute, Mohammed V University in RabatECivil Engineering and Environment Laboratory (LGCE), Mohammadia School of Engineers (EMI), Mohammed V University in RabatLaboratory of Geophysics and Natural Hazards, Department of Geology, Scientific Institute, Mohammed V University in RabatCoastal zones are vital ecosystems increasingly impacted by erosion and human activities. Accurate and timely shoreline mapping is essential for understanding coastal dynamics, predicting erosion, and guiding sustainable management strategies. This study presents an automatic approach for coastline detection using the CoastSat toolbox and GIS tools, applied to Oued-Lou Beach, Morocco. By analyzing publicly available satellite imagery spanning over 30 years, the study generated detailed coastline maps over a 23-year period, revealing significant spatial and temporal variations in shoreline changes. Analysis with the Digital Shoreline Analysis System (DSAS) showed significant erosion along the entire coastline, with the most severe erosion observed around the mouth of Oued-Laou, where erosion rates exceeded -2 m/year. In contrast, the northern sector experienced alternating periods of accretion (up to 0.5 m/year) and moderate erosion (around -0.5 m/year). The southern sector showed accretion rates ranging from 0.5 m/year to 1 m/year, while the area between OL5 and Cap Targha exhibited substantial erosion exceeding -1 m/year. These findings highlight the need for tailored management strategies to mitigate erosion and promote sustainable development in this coastal region.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04024.pdfcoastline mappingcoastsatgisdsascoastal erosion |
| spellingShingle | Souiri Smail Hakkou Mounir Haddaoui Hatim Oubdil Soufiane Lmrimed Nargiss Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco E3S Web of Conferences coastline mapping coastsat gis dsas coastal erosion |
| title | Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco |
| title_full | Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco |
| title_fullStr | Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco |
| title_full_unstemmed | Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco |
| title_short | Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco |
| title_sort | automatic coastline detection using coastsat toolbox and gis a case study at oued laou beach morocco |
| topic | coastline mapping coastsat gis dsas coastal erosion |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04024.pdf |
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