The Application of GIS and Remote Sensing in a Spatiotemporal Analysis of Coastline Retreat in Rufisque, Senegal

Koulibaly, Cheikh Tidiane; Ayoade, J. O.

doi:10.7494/geom.2021.15.3.55

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…The initial approach predominantly involved the interpretation of an antiquated geological map, utilizing sea level as a reference point. Subsequently, a second method was adopted, leveraging contemporary geospatial tools such as satellite imagery, cadastral maps, and aerial photographs [47]. Numerous studies on shoreline dynamics in the Saint Louis region, particularly within the Langue de Barbarie (LB), have utilized modern geospatial tools, as evidenced by previous research [5,[16][17][18][19]21,25].…”

Section: Methodology Approachmentioning

confidence: 99%

Monitoring and Forecasting of Coastal Erosion in the Context of Climate Change in Saint Louis (Senegal)

Sarr,

Pouye,

Sene

et al. 2024

Geographies

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Owing to its unique physical and socio-economic characteristics, the Saint Louis region stands out as one of the most susceptible areas in Senegal to the adverse impacts of coastal erosion. The dynamics of erosion in this region are significantly influenced by the Langue de Barbarie (LB), a sand spit formed at the mouth of the Senegal River. Initially, in 2003, a 4 m wide artificial breach was strategically introduced to mitigate flooding; however, sediment dynamics expanded it to 6 km by 2020, thereby affecting the entire region. This study delves into the coastline change of the LB, specifically divided into three zones (LB-1, LB-2, and LB-3), spanning the period from 1994 to 2042. Leveraging Geographic Information System (GIS) and remote sensing techniques, our investigation reveals that, prior to the breach’s creation, the average dynamic coastline rates in zones LB-1, LB-2, and LB-3 were estimated at 4.4, 5.9, and 4.4 m/year, respectively. Subsequent to the breach, these rates shifted to −1.2, 8.4, and −2.7 m/year, with the most significant erosion observed alongshore of LB-3 at −6.6 m/year during the period 2002–2012. Projecting into 2032, LB-1 and LB-3 are anticipated to experience erosion rates of −11.5 and −26.8 m/year, respectively, while the LB-2 records an estimated accretion rate of 8.41 m/year. Eroded areas are expected to total 571,458 m2, while accumulated areas are expected to total 67,191 m2. By 2042, zones LB-1, LB-2, and LB-3 are expected to experience erosion rates of −23 and −53.6 m/year, resulting in the erosion of 1,021,963 m2 and the accumulation of 94,930 m2 with a dynamic rate of 168.2 m/year in zone LB-3. These results have significant implications for solving the urgent issue of coastal erosion in LB.

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Section: Methodology Approachmentioning

confidence: 99%

Monitoring and Forecasting of Coastal Erosion in the Context of Climate Change in Saint Louis (Senegal)

Sarr,

Pouye,

Sene

et al. 2024

Geographies

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“…Koulibaly and Ayoade [94] also advised authorities in coastal Rufisque, Senegal, to concentrate coastal protection facilities and to include a community dimension in local and national plans for adaptation to sea level rise and related impacts such as coastal erosion. Guerrera et al [58] advised coastal authorities in Togo to develop urgent measures to mitigate the problem of shoreline change and coastal erosion, as well as the need to include effective solutions in the 2018-2022 national development plan.…”

Section: More Erosion Along Thementioning

confidence: 99%

Shoreline Change and Coastal Erosion in West Africa: A Systematic Review of Research Progress and Policy Recommendation

2023

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Shoreline change and coastal erosion resulting from natural events such as sea level rise and negative anthropogenic activities continue to be problems in many of the world’s coastal regions. Many coastal socio-ecological systems have become vulnerable as a result, especially in developing countries with less adaptive capacity. We utilized the systematic method to understand the research progress and policy recommendations on shoreline change and coastal erosion in West Africa. A total of 113 documents were retrieved from Scopus and the Web of Sciences databases, and 43 documents were eligible following established criteria. It was revealed that research on shoreline change and coastal erosion has progressed substantially since 1998, with most research studies originating from the Ghanaian territory. Again, most of the shoreline change and erosion problems in West Africa result from natural events such as sea level rise. However, there was evidence of anthropogenic influences such as sand mining, dam construction, and human encroachment causing shoreline change and erosion in the region. Research in the region has also progressed in terms of methodological approaches. Since 2004, researchers have utilized remote sensing and GIS techniques to source and analyze shoreline change and erosion. However, a combination of remote sensing and field observation approaches is required to clearly depict the erosion problems and aid policy direction. The overall call to action regarding policy recommendations revolves around improving coastal adaptation measures and the resilience of communities, instituting proper coastal zone management plans, and improving shoreline change and coastal erosion research. To protect lives and property, policymakers in the region need to set up good coastal zone management plans, strengthen adaptation measures, and make coastal communities more resistant to possible risks.

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Section: Pendahuluanunclassified

“…Perubahan garis pantai yang terjadi di wilayah pesisir akan lebih mudah dideteksi dan dianalisis menggunakan teknik geospasial yang mengkombinasikan penginderaan jauh satelit dan Sistem Informasi Geografis (Yulianto et al, 2019; A C R O P O R A Koulibaly dan Ayoade, 2021, Rumahorbo et al, 2022 atau menggunakan Digital Shoreline Analysis System (DSAS) (Thieler et al, 2009;Mutaqin, 2017;Rumahorbo et al, 2022). Saat ini, DSAS merupakan metode yang efektif dan akurat untuk mendeteksi dan menghitung perubahan garis pantai secara otomatis (Kankara et al, 2015;Nhan et al, 2018;Elnabwy et al, 2020;Nath et al, 2021;Koulibaly dan Ayoade, 2021). Metode DSAS mampu memberikan hasil yang lebih baik tentang dinamika dan tren perubahan garis pantai, dimana data garis pantai yang diekstraksi dari citra satelit multitemporal dianalisis untuk mengukur laju abrasi dan akresi yang terjadi di sepanjang garis pantai (Ryabchuk et al, 2012;Yulianto et al, 2019;Dey et al, 2021;Zonkouan et al, 2022).…”

Section: Pendahuluanunclassified

Analisis Perubahan Garis Pantai Menggunakan Digital Shoreline Analysis System: Studi Kasus Wilayah Pesisir Kota Jayapura, Provinsi Papua

Hamuna

Kalor²

2022

ACR

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Study of shoreline change is an important step in understanding the dynamics in the coastal area in Jayapura City and is a first step to reduce the risk of coastal erosion and also minimize social, physical and economic losses. This research was conducted in the coastal area of Yos Sudarso Bay, Jayapura City, Papua Province by utilizing multi-temporal Landsat satellite imagery (Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI-TIRS) for 1994, 2000, 2007, 2014 and 2020. Analysis Shoreline changes are determined using the Digital Shoreline Analysis System (DSAS). End Point Rate (EPR), Net Shoreline Movement (NSM) and Linear Regression Rate (LRR) are used to calculate the rate of change of the coastline and predictions of change of the coastline for the next 10 years. The results showed that in the period 1994-2000 there was an area of 535749.22 m2 of abrasion and 399361.87 m2 of accretion. During the 2000-2007 period, 453,876.10 m2 of abrasion occurred and 447,121.39 m2 of accretion. In the 2007-2014 period there was 781,274.83 m2 of abrasion and 259,221.26 m2 of accretion. In the 20014-2020 period, 93,328.79 m2 of abrasion occurred and 74,204.42 m2 of accretion. Spatially, the coastal areas of Yos Sudarso Bay, Jayapura City, which experienced abrasion included Holtekamp Beach, Hamadi Beach, and a small part in Youtefa Bay, while those that experienced accretion included DOK II Beach, Entrop Beach, Ciberi Beach, in Youtefa Bay and Cape Ria. The shoreline changes rate (LRR) in the coastal area of Yos Sudarso Bay, Jayapura City due to abrasion in the period 1994 to 2020 is 0.89 m/year, while the shoreline change rate due to accretion is 0.70 m/year. Based on the prediction of shoreline changes at Holtekamp Beach, it is predicted that the highest abrasion will occur as far as 50.19 m with an average abrasion distance of 20.22 m, while the highest accretion is as far as 19.19 m with an average accretion distance of 10.55 m.

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The Application of GIS and Remote Sensing in a Spatiotemporal Analysis of Coastline Retreat in Rufisque, Senegal

Cited by 7 publications

References 21 publications

Monitoring and Forecasting of Coastal Erosion in the Context of Climate Change in Saint Louis (Senegal)

Monitoring and Forecasting of Coastal Erosion in the Context of Climate Change in Saint Louis (Senegal)

Shoreline Change and Coastal Erosion in West Africa: A Systematic Review of Research Progress and Policy Recommendation

Analisis Perubahan Garis Pantai Menggunakan Digital Shoreline Analysis System: Studi Kasus Wilayah Pesisir Kota Jayapura, Provinsi Papua

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