Spatio-Temporal Assessment of Shoreline Changes and Management of the Transgressive Mud Coast, Nigeria

Popoola, Olusola Olalekan

doi:10.19044/esj.2022.v18n20p99

Cited by 4 publications

(9 citation statements)

References 25 publications

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“…Sources of pollution from chemicals, particles, domestic wastes, industrial wastes, agricultural wastes, and noise, or the spread of invasive organisms affect the ocean in the Gulf of Guinea, resulting in habitat degradation, loss of biodiversity, and degeneration in human health (Akita et al, 2020). These led to various forms of environmental debacle such as flooding, coastal erosion, pollution of various degrees and types, chronic illnesses, loss of species, and the inability of the ocean to perform its natural function (Popoola, 2012(Popoola, , 2022. Coastal and ocean degradation is caused by impacts of climate change with grave consequences such as fishery depletion, rising sea levels, and threat to the survival of ecosystem biomes which serve as habitats for ecosystem wildlife (Popoola et al, 2019;Popoola, 2021).…”

Section: Challenges To the Development Of Be Frameworkmentioning

confidence: 99%

Operationalizing the blue economy in the Gulf of Guinea, Africa

Popoola,

Olajuyigbe

2023

Front. Polit. Sci.

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The Blue Economy is crucial for sustainable development in Africa, and the Gulf of Guinea, one of Sub-Saharan Africa's most economically dynamic countries, faces several challenges in transitioning into this economy. This study assesses the situation of the Blue Economy in the Gulf of Guinea and proposes strategies for its operationalization. A qualitative research approach was used to examine each member state's marine conservation initiatives, regional collaboration, management approaches, and strategic frameworks. Findings show that the Gulf of Guinea is already experiencing blue economy activities, but challenges like rapid population growth, urbanization, piracy, unsustainable anthropogenic activities, poor institutional frameworks, and climate change hinder the transition. The Gulf of Guinea's ocean economy accounts for less than 10% of GDP, so integrating the blue economy into trade strategies is crucial for its transformation. A systematic approach based on national priorities, social context, and resource base is needed to foster social inclusion, economic progress, and sustainable ocean development. Enablers of blue growth, such as integrated coastal zone management, marine spatial planning, marine protected areas, marine biodiversity, and blue justice discourse, must be integrated into policy design, prioritizing sustainability and equity. A cautious, phased approach is suggested, focusing on establishing traditional sectors, growing them, integrating value chains, and implementing regional collaboration so that the blue economy delivers on its social, environmental and economic goals in the Gulf of Guinea.

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Section: Challenges To the Development Of Be Frameworkmentioning

confidence: 99%

Operationalizing the blue economy in the Gulf of Guinea, Africa

Popoola,

Olajuyigbe

2023

Front. Polit. Sci.

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“…Shoreline changes have been studied using a variety of methods at local, regional and global scales with variant levels of accuracy. Some studies have utilized, remotely sensed satellite data (Bartsch et al, 2020;Popoola, 2022), historical maps (Pepe et al, 2023) as well as aerial photographs, LiDAR imagery and terrestrial/in-situ data. Recent advancements in the use of remote sensing techniques to monitor shoreline changes have shown promise in comparison to the traditional ground surveying method, which has proven to be relatively high in terms of cost, labour, and schedule (Klemas, 2013).…”

Section: Introduction Introduction Introduction Introductionmentioning

confidence: 99%

“…By combining the high-resolution imagery obtained from the satellite and the great capability of the Geographic Information System (GIS) for data capturing, manipulation, processing and interpretation, the future position of the Lagoon Barrier coastline can be estimated creating an avenue for putting up measures that would manage the accompanying effects of this projection. In previous research, GIS technology has shown its promising strength in the handling of geospatial data like remotely sensed imagery to precisely, investigate shoreline changes (Oyinloye et al, 2016;Adefisan et al, 2018;Akinluyi et al, 2018;Fashea et al, 2022;Popoola, 2022;Pepe et al, 2023), however, no literature has used Sentinel-1 SAR imagery to forecast the future position of the Lagoon Barrier coastline in Lagos State. As an alternative to the previously used methodologies (Oyinloye et al, 2016;Adefisan et al, 2018;Akinluyi et al, 2018;Fashea et al, 2022;Popoola, 2022), this study presents an approach that uses extracted shorelines from Sentinel-1 Synthetic Aperture Radar (SAR) imagery to forecast the future position of the Lagoon Barrier Coast in Lagos State, Nigeria.…”

Section: Introduction Introduction Introduction Introductionmentioning

confidence: 99%

“…In previous research, GIS technology has shown its promising strength in the handling of geospatial data like remotely sensed imagery to precisely, investigate shoreline changes (Oyinloye et al, 2016;Adefisan et al, 2018;Akinluyi et al, 2018;Fashea et al, 2022;Popoola, 2022;Pepe et al, 2023), however, no literature has used Sentinel-1 SAR imagery to forecast the future position of the Lagoon Barrier coastline in Lagos State. As an alternative to the previously used methodologies (Oyinloye et al, 2016;Adefisan et al, 2018;Akinluyi et al, 2018;Fashea et al, 2022;Popoola, 2022), this study presents an approach that uses extracted shorelines from Sentinel-1 Synthetic Aperture Radar (SAR) imagery to forecast the future position of the Lagoon Barrier Coast in Lagos State, Nigeria. Research output will provide policymakers, and planners with pre-informed knowledge of areas that need proper monitoring to maintain a sustainable environment as well as areas requiring development of adaptive infrastructures to withstand any associated futuristic hazard.…”

Section: Introduction Introduction Introduction Introductionmentioning

confidence: 99%

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Futuristic prediction of the lagoon coast shorelines using spaceborne Synthetic Aperture Radar (SAR) imagery

ISIAKA,

TATA

2024

Nova Geodesia

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The coast is an extremely dynamic ecosystem that is subject to anthropogenic factors and sea level rise. All of this heightens the worry because it combines the elements that produce storm surges and tropical storms, which raise the possibility of shoreline shift and subsequent coastal erosion. The coastal zone is a prime example of a crucial ecosystem that is also highly dynamic, with shorelines that grow and contract in response to human activity, storm surges, tropical cyclones, and sea level rise. The shoreline that characterizes erosion and deposition is constantly changing, but accurate monitoring and mapping of these changes are made necessary by the ecosystem’s economic viability. In this study, Sentinel-1 Synthetic Aperture Radar (SAR) imagery was used to forecast the futuristic position of the Lagoon Barrier shoreline in Lagos state, Nigeria. The Digital Shoreline Analysis Software (DSAS) statistics of End Point Rate (EPR) and Linear Regression Rate (LRR) were used to examine the shoreline projection. The study’s findings demonstrated that shorelines movements can be monitored using Sentinel-1 SAR imagery owing to its characteristics that helps in distinguishing water from land. The shoreline projection indicated that general erosion would occur in this area at a rate of 1.45 meters per year. Communities in Ojogun, Okun-Ibese, Makoko, and Mobido are likely to be at risk from this erosion. With regard to the sustainable management of coastal zones, this research initiates a new endeavour for legislators and town planners.

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“…Daramola et al [42] conducted a study on changes in coastal positions employing the linear regression rate (LRR), endpoint rate (EPR), and root mean square error (RMSE) methods. On the other hand, Popoola [43] employed the linear regression rate (LRR), endpoint rate (EPR), and ALOS PALSAR (AW3D30) elevation models to investigate shoreline changes.…”

Section: Introductionmentioning

confidence: 99%

A Spatio-Temporal Analysis of Shoreline Changes in the Ilaje Coastal Area of Ondo State, Nigeria

Ogunrayi,

Mattah,

Folorunsho

et al. 2023

JMSE

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Erosion presents a significant challenge to coastlines worldwide, and the Ilaje area in Nigeria’s Niger Delta is no different. Aggressive flooding along this shoreline has led to property damage, economic disruption, and a looming threat to the survival of riverine communities in the region. This study presents a comprehensive analysis of spatial and temporal changes in the Ilaje coastal area of Ondo state from 1986 to 2020. The analysis utilized the SCE, EPR, and LRR methods to examine shoreline changes. Additionally, spatial digitization was performed for Ayetoro, a highly susceptible coastal community, spanning from 2008 to 2023. The results indicate that approximately 86% of the coastline experienced erosion, while the remaining 14% underwent accretion. Notably, the western and central sections of the coastline emerged as the areas most vulnerable to erosion. Ayetoro, situated centrally, faces dire circumstances. The interplay of natural geomorphic processes and human activities played a role in driving these changes. Beyond the immediate physical alterations, erosion has reverberated through the local ecosystems, livelihoods, and infrastructure, posing risks to numerous communities. This study emphasizes the need for urgent actions through integrated coastal zone management (ICZM) strategies to promote coastal stability in the region. The results of the study further provide valuable insights into the need for coastal managers and planners to regularly assess the state of the coastline and proactively proffer suitable solutions to reduce rampant coastal degradation.

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Spatio-Temporal Assessment of Shoreline Changes and Management of the Transgressive Mud Coast, Nigeria

Cited by 4 publications

References 25 publications

Operationalizing the blue economy in the Gulf of Guinea, Africa

Operationalizing the blue economy in the Gulf of Guinea, Africa

Futuristic prediction of the lagoon coast shorelines using spaceborne Synthetic Aperture Radar (SAR) imagery

A Spatio-Temporal Analysis of Shoreline Changes in the Ilaje Coastal Area of Ondo State, Nigeria

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