Quantitative Analysis of Shoreline Change Using Medium Resolution Satellite Imagery in Keta, Ghana

Appeaning, A.K.; Jayson-Quashigah, Philip-Neri; Kufogbe, K.S.

doi:10.5923/j.ms.20110101.01

Cited by 91 publications

(36 citation statements)

References 17 publications

(21 reference statements)

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“…In addition, the dominance of variation by erosion can be explained by: Sea level rise Sea-level rise caused by climate change in the 21st century is exposing land previously inaccessible to waves and currents and is accompanied by severe coastal erosion that is slowly submerging the coasts of the Gulf of Guinea [50]. According to the authors of [4], the risk of coastal erosion in the Wouri estuary is reinforced by the trend of sea-level rise caused by global climate change and amplified by subsidence movement.…”

Section: Discussionmentioning

confidence: 99%

Temporal (1948–2012) and Dynamic Evolution of the Wouri Estuary Coastline within the Gulf of Guinea

Fotsi

Pouvreau

Brenon

et al. 2019

JMSE

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The Wouri estuary is located in the Gulf of Guinea on the Atlantic coast of Cameroon’s coastline plain (3°49′ and 4°04′ north latitude and 9°20′ to 9°40′ east longitude), and is strongly influenced by coastal dynamics that have remained unquantified over a long period of time. This study analyzed the historical evolution of the Wouri estuarine coastline between 1948 and 2012. Variations in the estuarine evolution of the Wouri were studied from (i) minute topographic extracts from 1948, (ii) 1996–1999 nautical charts, and (iii) 2012 spatial map vectors. The net temporal spatial variation rates were calculated using the statistical methods of the Digital Shoreline Analysis System (DSAS). These change rates were also calculated over two time intervals (1948–1996 and 1996–2012) and over a 64-year period (1948–2012). The study reveals highly disparate results. Indeed, kinematics show that the Wouri estuary was dominated by erosion in its downstream section, with 262.83 ha for –3.2 m/year and 110.56 ha for –5.8 m/year between 1948–1996 and 1996–2012 respectively, and by accretion on the other hand in its upstream section, with 239.17 ha for 4.3 m/year in zone 5 between 1948–1996 and 150.82 ha for 12.6 m/year in zone 4 between 1996–2012. Thus, over the 64-year period (1948–2012), we have a dominance of variation by erosion downstream and conversely by accretion upstream, marked by the presence of amplifying factors (anthropogenic pressure and climate change) of the rate of variation of morphological evolution at the beginning of the 21st century, as compared to the middle-20th century. The observed development of sediment loss and accumulation, both influences and will influence, the sediment regime along the Wouri estuarine coastline. There is a need to develop a systematic sub-regional coastal surveillance activity to effectively manage Cameroon’s coastline system.

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Section: Discussionmentioning

confidence: 99%

Temporal (1948–2012) and Dynamic Evolution of the Wouri Estuary Coastline within the Gulf of Guinea

Fotsi

Pouvreau

Brenon

et al. 2019

JMSE

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“…A significant number of studies characterize coastal erosion as the most significant problem affecting the VRD, including the AED (Appeaning Addo et al., 2011; Bollen et al., 2010; Boateng, 2009, 2010, 2012; DARA and CVF, 2012; Kusimi and Dika, 2012; Nyamedor and Codjoe, 2013). Although coastal erosion is a natural process, sea-level rise and increased frequency and severity of storms due to climate change exacerbate erosion rates (Wong et al., 2014).…”

Section: Situating the Adsds: The Aed The Vrd And Climate Vulnerabimentioning

confidence: 99%

The discursive construction of adaptation subjects via the Ada Sea Defense System in the Volta River Delta of Ghana

Owusu-Daaku

Rosko

2019

Environment and Planning E: Nature and Space

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As climate adaptation gains international prominence as one means for addressing climate change, it remains critical that just and equitable outcomes are maintained as adaptation technologies are deployed across various target populations. In this vein, subjectivity has been problematized by climate change adaptation scholars as a concept that needs further attention to understand the political nature of climate change adaptation. Extending frameworks of environmentality to cases of climate change adaptation, we engage the term adaptation subjects to distinguish individuals whose interests and desires align with broader understandings and goals of climate change adaptation. In this research, we situate the co-production of livelihoods and climate change adaptation interventions as projects of rule to understand subject-formation. Such an analysis allows for a move beyond econocentric framings of livelihoods that privilege material outcomes to also engage with the socio-political realities of these livelihoods and climate change adaptation more broadly. We apply the Livelihoods as Intimate Government approach to a case study of the Ada Sea Defense System in the Ada East District of the Volta River Delta of Ghana as a climate change adaptation project of rule, in order to illustrate the ways this adaptation technology discursively constructs (or not) different residents as adaptation subjects. Understanding the Ada Sea Defense System as a technology of adaptation constituted through socio-political practices has the potential to promote justice and equity when designing, implementing and evaluating such technologies in the future.

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“…Globally, qualitative and quantitative analysis of shoreline spatio-temporal variations has been addressed by several studies (Nassar et al 2019;Addo, Jayson-Quashigah, and Kufogbe 2012;Maiti and Bhattacharya 2009). The End Point Rate (EPR) technique combined with the satellite imageries are accurate and reliable method for shoreline change computation and analysis (Sebat and Salloum 2018).…”

Section: Introductionmentioning

confidence: 99%

Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS)

Baig

Ahmad

Shahfahad³

et al. 2020

Annals of GIS

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Coastline or Shoreline calculation is one of the important factors in the finding of coastal accretion and erosion and the study of coastal morphodynamic. Coastal erosion is a tentative hazard for communities especially in coastal areas as it is extremely susceptible to increasing coastal disasters. The study has been conducted along the coast of Vishakhapatnam district, Andhra Pradesh, India with the help of multi-temporal satellite images of 1991 2001, 2011 and 2018. The continuing coastal erosion and accretion rates have been calculated using the Digital Shoreline Analysis System (DSAS). Linear regression rate (LRR), End Point Rate (EPR) and Weighted Linear Regression (WLR) are used for calculating shoreline change rate. Based on calculations the district shoreline has been classified into five categories as high and low erosion, no change and high and low accretion. Out of 135 km, high erosion occupied 5.8 km of coast followed by moderate or low erosion 46.2 km. Almost 34.7 km coastal length showed little or no change. Moderate accretion is found along 30.5 km whereas high accretion trend found around 17.8 km. The outcome of shows that erosion is prevailing in Vishakhapatnam taluk, Ankapalli taluk, Yellamanchili taluk whereas most of the Bhemunipatnam coast is accreting. Natural and manmade activities and phenomena influence the coastal areas in terms of erosion and accretion. The study could be used for further planning and development and also for disaster management authority in the decision-making process in the study area.

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Quantitative Analysis of Shoreline Change Using Medium Resolution Satellite Imagery in Keta, Ghana

Cited by 91 publications

References 17 publications

Temporal (1948–2012) and Dynamic Evolution of the Wouri Estuary Coastline within the Gulf of Guinea

Temporal (1948–2012) and Dynamic Evolution of the Wouri Estuary Coastline within the Gulf of Guinea

The discursive construction of adaptation subjects via the Ada Sea Defense System in the Volta River Delta of Ghana

Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS)

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