Shoreline Changes

This study provided an updated assessment of temporal changes in shoreline of Ras El-Bar on the Nile Delta coast using multi-decadal data (1984-2024) of field observations, surveys, and measurements, supported by advanced remote sensing techniques. This temporally extended dataset allowed for a reliable assessment of human interventions on shoreline changes. Based on highresolution imagery, from Landsat 1 (MSS), Landsat 5 (TM), Landsat 8 (OLI), and Landsat 9 (OLI-2), two methods were used for shoreline measurements between 1984 and 2024: the Modified Normalized Difference Water Index (MNDWI) and the Normalized Difference Water Index (NDWI)-based Digital Shoreline Analysis System (DSAS). The results suggest good consistency, with high confidence, between the two methods, with an average r value of 0.86, R 2 value of 0.92, and RMSE value of 23.11 m. The findings highlight the impact of Damietta Harbour (DH) on coastal morphodynamics, with continuous erosion observed over the Eastern Jetty (EJ) of the DH (sectors 1 to 4) from 1984 to 2020. From 2020 to 2024, the extension of DH's jetties created a shadow zone with appreciable accretion east of EJ at sector 1. Moreover, the construction of the Aswan High Dam (AHD) induced sediment entrapment that nourished the coast. Several protection structures have been implemented to mitigate inundation and damage to infrastructure and to secure coastal stability along the Ras El-Bar resort. These structures include three groins, a revetment, eight detached breakwaters (DBWs), and four Y-shaped groins. Among these, the detached breakwaters have proven to be the most effective structures for ensuring coastal stability and maintaining a beach suitable for resort activities. These findings inform adaptive coastal management strategies to optimize tourism, protect critical infrastructure, and sustain natural coastal processes, providing policymakers with actionable insights to enhance the resilience of Ras El-Bar against erosion, sea-level rise, and climate change, while supporting sustainable development in this socioeconomically vital region.

The morphology of coastal regions is continually changing because of both natural and human factors. Monitoring and understanding these changes are essential for efficient coastal management and sustainable development. To protect and develop beaches, quantitative monitoring of coastal changes is crucial. According to this study, there is a persistent erosion issue with the shoreline of the Rosetta region in Egypt. Over the previous century, there has been noticeable erosion. This is mostly because of the Aswan High Dam, which was built in 1964 and decreased runoff and sediment flow. Five Landsat images spanning the years 1980-2023 were utilized in this study. The Nile Delta would be eroding at an alarming rate if action were not taken due to coastal erosion, which is made worse by sea level rise. Our study's primary goal is to evaluate the shoreline of the Rosetta region and identify rates of erosion and accretion as well as patterns of accumulation and erosion using a combination of statistical analysis of the coastline using DSAS software and remote sensing techniques. It also seeks to pinpoint hotspots that require security. In this study, the Shoreline Linear Regression Rate (LRR), End Point Rate (EPR), Shoreline Change Envelope (SCE), and Net Shoreline Movement (NSM) were determined by creating crosssections perpendicular to the baseline using the Digital Shoreline Analysis System (DSAS). According to the analysis of coastal change, the periods with the highest levels of erosion were between 1980 and 1990, before the protection of the promontory took place. In addition, the results extracted from this study showed a stabilized shoreline between 2000 and 2023 at the Rosetta Promontory and noticeable erosion in the east and west of the promontory.

This scientific investigation provides valuable insights into the dynamics of shoreline alteration in the Jagatsinghpur district coast, facilitating informed decision-making for implementing coastal protection strategies. This study presents a comprehensive assessment of shoreline alteration along the 55.045 km stretch of the Jagatsinghpur district coast in India from 1990 to 2020. Landsat 5 TM and 8 OLI satellite image data were used for the analysis. The quantification of erosion and deposition shoreline change rates are computed through a semiautomated approach employing four statistical methods SCE, NSM, EPR, and LLR in the Digital Shoreline Analysis System (DSAS). The coastline was divided into four zones at the tehsil level, resulting in the generation of 5149 transects, categorized as Paradip tehsil-I, Abhyachandpur tehsil-II, Ersama tehsil-III, and Balikud tehsil-IV. The analysis revealed significant erosion in specific areas, including Paradip town in Zone I, Nuagan in Zone II, Zone III, and Kusupur in Zone IV. The decision matrix showed an urgent need for erosion rectification in specific regions. The results indicate the necessity of implementing coastal protection measures in Zone III, B, and D subregions in Zone I and D and F subregions in Zone II. Meanwhile, in Zone IV, subregions A and B necessitate attention.

Coastal regions are vital to global economic growth, housing a significant portion of the world's population and serving as key centers for economic and infrastructural developments. Approximately 10% of the world's population lives within 5 km of the coast, while 5% reside between 5 and 10 km. This proximity increases their vulnerability to risks such as high-tide flooding, storm surges, and coastal erosion, especially as these threats intensify with climate change. Despite significant efforts to assess and monitor anthropogenic and natural phenomena in coastal areas, many regions remain understudied, facing unprecedented challenges that demand advanced investigative approaches.

Satellite-derived shoreline (SDS) methods have emerged as a leading solution, leveraging vast Earth Observation data and advancements in image analysis technologies. Although SDS provides critical insights into long- and short-term coastal changes, there remains a need for further research into innovative frameworks to fully realize its potential.

This Research Topic aims to explore and enhance the methodologies associated with mapping and understanding shoreline changes using satellite images. The focus is to present diverse algorithms and systems that offer novel approaches for shoreline extraction and modeling. It seeks to integrate the latest advancements in artificial intelligence and machine learning to develop and refine SDS algorithms, ensuring they are both effective and adaptable to different coastal contexts. By doing so, it aims to test new algorithms and improve existing ones to address the dynamic challenges of coastal monitoring.

To gather further insights into innovative satellite-derived shoreline detection techniques, we welcome articles addressing, but not limited to, the following themes:

- Development and application of new image pre-processing techniques.

- Exploration of spectral indices for water edge detection.

- Integration of AI and machine learning in shoreline extraction.

- Methodological innovations in combining SDS with other remote sensing data.

- Creation and evaluation of comprehensive systems and toolkits for shoreline analysis.

The study investigates the spatiotemporal shoreline dynamics of selected coastal stretches in Gujarat and Odisha, India, from 1980 to 2024. The 1980-2024 period was chosen to enable long-term shoreline trend analysis using reliable satellite data, capturing both natural coastal dynamics and human-induced impacts, while aligning with key climatic and developmental phases affecting Gujarat and Odisha. Four coastal regions were analyzed: Pingleshwar (30.196 km) and Mandavi (31.439 km) in Gujarat, and Tandahar (30.229 km) and Satabhaya (30.443 km) in Odisha. These stretches represent diverse geomorphological settings and varying exposure to erosion and accretion, offering valuable insights into India's eastern and western coastal dynamics. The analysis utilized the Digital Shoreline Analysis System (DSAS), applying End Point Rate (EPR), Linear Regression Rate (LRR), and Net Shoreline Movement (NSM) methods to assess shoreline change across intervals

This research work has been conducted for nearshore wave-tide hydrodynamics analysis of Kuakata beach by numerical modelling 24 km long Kuakata beach is subdivided into three parts like Lebur Char (13 km), Gangamatir Char (4 km) and Kawar Char (7 km) stretching from west to east. A dedicated hydrodynamic model using MIKE 21 FM (with/without wave action) is developed, calibrated, and validated for studying nearshore hydrodynamic analysis. Model simulation for different critical hydrological and hydrodynamic conditions reveals that there develops longshore current along the beach and eastward current magnitude dominates over westward current magnitude. A dedicated wave model has been developed using MIKE 21 SW and the simulated wave result, wave rose analysis has been done, it is found that waves hit the Kuakata beach angularly and the eastward wave is most prominent, which generates longshore current from west to east. Simulated hydrodynamics of coupled wave-tide model can be used in another model to estimate the rate of longshore sediment transport. It is observed that the coastline is moving towards land with time.

A new remote sensing method based on video imaging is tested on a steep reflective beach (Grand Popo, Benin) to characterize the variation of the bed level and water level in the swash. The set up used enables the measurement of the wave by wave impact of swash on the beach morphology. Large variations up to 10 cm of the bed level are observed at periods longer than group periods, suggesting a substantial morphological control on the swash dynamics. The effect of individual swash events on high frequency change of bed level is taken into account relating hydrodynamics and morphodynamics variables to the bed evolution. Preliminary results show a strong correlation of the high frequency bed change with swash hydrodynamics and group influence.

This study work has been conducted for estimation of longshore sediment transport and coastline evolution as well. Dedicated hydrodynamic model using MIKE 21 FM is developed, calibrated, and validated for studying nearshore hydrodynamic analysis and hydrodynamic result is used as input in LITDRIFT and LITLINE model. Dedicated wave model has been developed using MIKE 21 SW and the simulated wave climate has been used in LITDRIFT model and LITLINE model. Simulated hydrodynamics of coupled wave-tide model are used in LITDRIFT model to estimate the rate of longshore sediment transport. It is found that overall net sediment transport occurs eastward of amount 5.94x10 5 m 3 /yr and 1.46x10 5 m 3 is eroded for Lebur Char area and 2.36x10 5 m 3 deposited in Kawar Char area per year, estimated by LITDRIFT model of LITPACK module under MIKE. Coastlines have been simulated by LITLINE model, which is calibrated and validated with the real filed data of coastline extracted from the satellite images of the year 2018 and 2016. LITLINE model has been simulated over the year 2010 to 2018 for erosion prone area of Kuakata. It is observed that coastline is moving towards land with time. Future coastline position is also simulated up to the year 2024. It is predicted that western part (Lebur Char area) of Kuakata beach will further erode at a rate of 9.6 m/yr up to the year 2024.

Shorelines are altering at an accelerating rate due to both human activities and physical phenomena as they represent the interface between the land and water. The primary objective of the study, Monitoring Shoreline Changes on the Coastline Security of Sri Lanka using Remote Sensing and Geographic Information System (GIS) Techniques, is to analyse shoreline changes from 2004 to 2021 using geospatial techniques. Shorelines for years of 2004, 2015 and 2021 were delineated using Landsat 7 and Landsat 8 images. By applying, the Normalized Difference Water Index (NDWI) landmasses were distinguished from water bodies, and shorelines were extracted. The Digital Shoreline Analysis System (DSAS) was used to quantify the rate of long-term shoreline changes over 17 years and assess shoreline changes, including Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM) and, End Point Rate (EPR). The DSAS results reveal that the Kalutara region has experienced the greatest natural erosion, while the eastern coastline (Kayankerni area) has undergone the greatest natural accretion (except port city and other harbors). The highest SCE values, reaching 843 m, were calculated within the eastern coastline. The highest NSM ranges indicative of accretion were recorded as 819 m in the eastern coastline, while the highest ranges indicative of erosion were recorded as -305 m in the western coastline. The calculated EPR of the area was -17.9 m/year. These findings can serve as valuable input data for maintaining the security of coastal zone management and mitigating further anthropogenic and natural threats to coastal habitats in Sri Lanka. KEYWORDS: Digital Shoreline Analysis System, End Point Rate, Net Shoreline Movement, Shoreline Change Envelope, Shoreline Changes.

This study investigates the evolution of the Iztuzu beach shoreline and its response to wave storm characteristics and frequencies. Firstly, using the Digital Shoreline Analysis System (DSAS) tool, high spatial resolution satellite imagery, coastal changes were assessed over various time scales covering the decade of 2013-2022. Secondly, considering the same timeframes, wave storm characteristics occurrence and characteristics of Iztuzu beach were assessed. Lastly, the coastal evolution and wave storm assessment results are linked based on correlation analysis to define the relation between the observed coastal changes and the wave storm frequency and characteristics changes. Thus, the present study's main advance lies in considering the impact of some key characteristics of wave storms, such as storm duration, direction and total energy, on shoreline evolution. The correlation analysis of shoreline changes and storm characteristics revealed the influence of wave storms on coastal dynamics. The study results highlight the significant sensitivity of certain beach zones to storm characteristics and point out the possibility of predicting future shoreline changes using projected wave storm patterns. Throughout the study period, Zones II, III, and IV experienced consistent erosion, likely attributable to the interaction between the southwest-oriented shoreline and the prevailing storm wave direction from the South. This alignment generates strong drift currents, contributing to the observed shoreline retreat. For instance, the correlation exceeded 0.8 at Zones III, IV, and V for wave storm duration, SPI and TSWE against the EPR, and 0.7 at the same zones for the same characteristics against the LRR. As a result, coastal erosions at Iztuzu Beach are more linked to the intensity and duration of southern wave storms. Thus, this study emphasizes the importance of combining wave storm data and shoreline analysis to develop effective coastal management and mitigation strategies.

Coastal areas are among the most productive environments, providing ideal conditions for tourism, agricultural, commercial, and industrial activities. Nevertheless, both geological and anthropogenic factors significantly affect the morphology of coastal regions. To recognize these changes, shoreline change analyses play a crucial role in determining the erosion and accretion rates. The Bakırçay Delta, located in the northern Aegean coastal area of Türkiye, has suffered severe degradation in recent years owing to increased settlements and diverse economic activities, including mining, geothermal energy production, and agricultural activities on the coastline of the Bakırçay plain. Seasonally varying high discharges also have led to a higher transport of bed load depositions in the Bakırçay Delta. This study aimed to assess shoreline changes along the Bakırçay River Delta for the 1984-2022 period by using multi-temporal Landsat images and the Digital Shoreline Change Analysis System (DSAS). Possible human-induced factors causing the shoreline changes in the Bakırçay Delta were also discussed. Short-and long-term shoreline analyses of the Bakırçay Delta indicated that substantial shoreline changes have occurred in the northern part of the Bakırçay River. Long-term shoreline analyses showed that the highest shoreline accretion occurred along the Yeni Çandırlı Port, whereas the largest shoreline erosion rate was observed in the northern part of the Bakırçay River between 1984 and 2022. Overall, the Bakırçay Delta coast experienced significant shoreline changes mainly due to human-induced factors, which affected its morphology considerably.

Coastal zones are remarkably productive and diverse environments on Earth, yet they are also highly vulnerable ecosystems. Therefore, examining both temporal and spatial variations in shorelines, as well as forecasting future shoreline position, is critical for ensuring the sustainability of coastal zones. In this study, historical shoreline change of the Şile (between western part of Şile port and eastern part of the Kumbaba Beach) was analyzed using End Point Rate (EPR), Net Shoreline Movement (NSM), and Linear Regression Rate (LRR) statistics of Digital Shoreline Change Analyses System (DSAS). Future shoreline forecasting was estimated using Kalman Filter method within DSAS tool. To analyze the historical shoreline changes in Şile, 18 shoreline data sets were generated from Google Earth Pro spanning the period from 2002 to 2021. The statistical result of the study indicates that the maximum shoreline progression of Şile between 2002 and 2021 was 41.3 m for NSM and 2.6 m/yr for LRR, while the maximum shoreline regression was -26.2 m for NSM and -1.3 m/yr for EPR. The projected future shoreline for Şile suggests that the most substantial shoreline advancement is anticipated to occur between 2031 and 2041, particularly in designated areas such as zone I, zone II, and zone III. Conversely, significant shoreline regression is forecasted to transpire in zone IV during the same periods. As a result, the shoreline of Şile has witnessed notable shoreline alterations throughout its history, and it is expected to continue experiencing significant changes in the future.

Incident wave conditions and morphological beach response in the region of West and Central Africa are investigated using data collected with a regional network of permanent video cameras systems. Daily beach profiles were computed combining video shoreline detection at different tide levels and bathymetric estimate from wave celerity at three specific sites: Grand Popo (Benin), Mbour (Senegal) and Kribi (Cameroon). Results show that the low tide terrace of the intermediate-reflective beach of Grand Popo affects shoreline response at the event and seasonal time scales by modulating wave energy at the beach face. Based on this preliminary study and in the framework of a sustainable video station deployment, this paper highlights the potential of a video station network to address waves and coastal response on the time scales from hours to decade(s) in tropical coastal environments where data are lacking.

Coastal environments are highly dynamic and sensitive to interference and variations caused by the numerous natural and anthropogenic agents. The northern coast of Northeastern Brazil has undergone intense erosion in recent years. However, the construction of the Pecém Port modified the beach and shoreline features differently from the adjacent areas. This article describes using remote-sensing images integrated with a Geographic Information System to evaluate the sedimentary balance and morphological changes observed in the sandy beach area that was affected by the construction of Pecém Port. Two methods were applied to the RapidEye images to quantify the short-time changes that occurred on the coast. The Digital Shoreline Analysis System method showed that the beach width increased west to the port, which was calculated by the Change Polygon Approach determined by intersecting and uniting polygons to estimate the difference between the areas over time. The short-time analysis results showed changing coastal morphology, demonstrating that the anthropic interventions in the region are transforming significantly the natural elements that make up the region landscape. Between 2011 and 2014, the investigated beach stretch of approximately 3 km suffered an accretion process of more than 102,000 m 2 over 3 years. The high spatial resolution of satellite images, digital processing imaging techniques and geostatistical methods were effective in this study, allowing understanding the recent changes in the area.

Bangladesh, situated in tropical and subtropical regions, receives significant amount of solar energy, making it an ideal location for solar energy production. However, determining suitable sites in the country for solar based power plant establishment turns out to be a difficult task given its dense population. This study aims to the identification of such a potential site by assessing the stability of the Jamuna river Island to be proposed as a site for developing solar based power plant. The research concentrates on Fulchhari union of Gaibandha district, one of the three major islands in the Jamuna river, utilizing two GIS-based multi-criteria decision-making (MCDM) techniques. One is Digital Shoreline Analysis System (DSAS) for stability analysis, and another is Analytical Hierarchy Process (AHP) for suitability evaluation. For the stability analysis of the island, Landsat satellite imagery of 1990, 1995, 2000, 2005, 2010, 2015 and 2020 covering a long term of 30 years period were investigated. Based on average change rates, the bankline of the island was divided into 2 accretion zones in the south and southeastern direction, and 8 erosion zones. Along with the bankline changes, climatological, geomorphological, and environmental factors have been adopted to modeling process for suitability analysis. The optimal locations for solar based power plants have been demonstrated by a suitability map, where high and standard potential area is about 60% of the area of Fulchhari union. Production may be enhanced up to 5 times more with the consideration of utilizing the moderate optimum zone.

Coastal areas are vulnerable to the influence of geomorphological processes from activities in the waters, so that the condition of coastal ecosystems will always change according to the dynamics that occur on the coast, both changes could be occurred in coastlines and land cover. Geoecology is the spatial interaction between natural phenomena and their relationship to phenomena in a particular ecosystem. Surabaya is a coastal city that frequently experiences changes in land cover. The construction of new settlements and changes in land use have a significant impact on the coastal environment of Surabaya. This research aims to determine the influence of population density, land cover and spatial plan on the geoecological evaluation of Surabaya's coast using remote sensing data. The data used in the research is Landsat satellite image data from 1994, 2003 and 2018 (maximum likelihood classification method). The dynamics of changes in coastlines on the coast of Surabaya are caused by three phenomena, namely erosion, accretion and anthropogenic. Each phenomenon has a different value for land cover class, population density and spatial patterns. The research results show that geoecological evaluation is closely related to phenomena that occur on the Surabaya coast (value range 1-3). The geoecological evaluation value due to the erosion phenomenon is low (30%) and medium (70%). The geoecological evaluation value due to the accretion phenomenon is low (100%). Meanwhile, the geoecological evaluation value due to anthropogenic phenomena is low (25%) and medium (75%). Geoecological evaluation of Surabaya's coast shows that it is in a "safe" condition, but there is requirement for coastline management. Where the coastal area planning process is carried out by identifying the dynamics of coastal areas and potential risks and consequences related to decisions that produce different future scenarios.

The intertidal fauna of the Dakshina Kannada coast, Karnataka, India, are facing a threat due to several factors. In the present study, we delineate various changes in the selected intertidal habitats along the coastline of the Dakshina Kannada district, to correlate these changes with the diversity of molluscs in the intertidal zones. The study also aims at understanding the threat faced by molluscs due to various factors. This study was carried out from November 2016 to September 2017. Mapping of the coastline of Dakshina Kannada was done using topographical maps and Indian Remote Sensing Satellite imageries (IRS-Resourcesat 1-LISS-III). Satellite data were processed using ERDAS IMAGINE 9.1 software and various land-use/ land-cover classes were analysed using ArcGIS 10.1. The resulting coastal maps were used to estimate the geomorphological changes and shifting of the shoreline position due to erosion and accretion. Shoreline changes were correlated to diversity changes within intertidal mollusc communities. The study revealed the abundance of molluscs at the intertidal zone of Sasihithlu and species richness at Someshwar and Panambur during post-monsoon. Significant correlation was observed between water temperature and diversity of molluscs, indicating that water temperature is the important physico-chemical parameter responsible for the change in molluscan diversity of the Dakshina Kannada coast. The variation in land-use/land-cover during the study period was analysed. The coastline has been threatened by different land-use patterns such as urbanization, industrialization, developmental activities, erosion and accretion. The changes occurring along the coastline during this study due to industrialization and anthropogenic factors have been discussed, which help in the implementation of conservation measures and protect the sensitive habitats of the shelled organisms.

Tourists are fascinated with small islands trip for many purposes. In addition to their natural beauties the islands may be calm, isolated area and pollution free from mainland. Most of the small islands in Sabah, Malaysia have been promoted to tourists as diving, snorkeling, swimming and sun bathing destination. However, the main tourist attraction for Turtle Islands Park (TIP) is for turtle landings and laying their eggs. It is located 40 km north of Sandakan and are gazzeted as a park in 1977 under the jurisdiction of Sabah Parks. Beach erosion is one of the serious problems in TIP. It is a major threat to Sabah Parks’s shore-based facilities andturtle nesting. This study aimed to identify the shoreline changes and the most dynamic part of the two islands in TIP. Aerial photos in 1970 and 1996 were collected from various departments and merged to examine the shape of the islands. Field trips in February and June 2011 were conducted to record the coordinates of the shoreline and v...

The coastal stretch from Veli to Varkala along Thiruvananthapuram coast, which was in dynamic equilibrium, has two identifiable sediment cells separated by the Muthalapozhi inlet with harbour breakwaters on either side of the inlet. Construction of breakwaters to develop a fishing harbour at Muthalapozhi has caused erosion immediately north of the inlet and beach build up south of the inlet. In addition, the harbour mouth gets blocked due to deposition of sand, virtually making the harbour unusable. In the present study, the processes of shoreline morphological changes along the high energy coast are analyzed using numerical models to propose management options to tackle morphological modifications. Shoreline changes, nearshore processes and beach characteristics along this sector are studied through extensive field observations. The data is used to calibrate and validate sediment transport and shoreline change models for this coast. Sediment transport and shoreline changes are simulated using different modules of LITPACK model. The LITDRIFT module is used to calculate annual sediment transport. The LITLINE module is used for shoreline evolution during fair season and the behaviour of coast during monsoon is simulated using the module LITPROF. The calibration of the model is done with field observations. It is found that beach sediments get deposited on southern side of the breakwater and bypassed sediment gets deposited at the inlet mouth. The model after validation is used to simulate the processes with different designs and a groin field of smaller transitional lengths comparable with the surf zone width. The groins having lengths 40, 30 and 20 m at 120, 220 and 300 m south of breakwater, has been found best suited to control the chocking of harbour mouth due to sediment deposition during beach building period.

Nearly half of the world’s population lives near the coasts of oceans and seas. The coastline position changes under the influence of multiple natural and anthropogenic factors. Recently, due to the global impacts of climate change and population growth, the issue of geomorphological changes in coastlines has become more critical. Therefore, the assessment and mapping of coastline dynamics is one of the most essential factors for sustainable development goals and urban planning. The objectives of this study are to focus on discussing the research progress of applications of satellite remote sensing datasets and GIS methods for coastline extraction, mapping, and analysis along global coasts. A systematic review and trend analysis of the most recent published studies that focused on remote sensing and GIS techniques for assessing coastal dynamics were published between 2012 and 2022 along different coasts worldwide. The results indicated that multisource and multisensor remote sensing datasets were globally utilized for monitoring coastline changes, including (1) medium-resolution imagery such as Sentinel and Landsat, (2) SAR and optical high-resolution imagery, (3) modern remote sensing technologies such as UAV and LiDAR, and (4) GIS-based methods, spatial analysis, and artificial intelligence. This study concludes that coastal change can be tracked using any form of remote sensing, including drones, LiDAR, higher resolution imaging, and Landsat imagery. This review provides a comprehensive reference for upcoming work on coastal management and exploitation development and research, especially for the low elevation coastal zones that are affected by coastal hazards.

Jizan is one of the Saudi Arabian coastal cities endowed with diverse natural settings, which includes Ash Shuqayq in the north, Turfah in the centre and Jizan in the South. This work analysed specific environmental characteristics, such as spits, sabkhas and wadis. Assessments used Landsat imagery to examine coastal change between 1973 and 2011. The cumulative temporal change identified regression trends given by coefficients of determination that explained a significant percentage of data variation for Jizan (R 2 = 69%) and Turfah (R 2 = 72%), while Ash Shuqayq was insignificant (R 2 = 14%). Inter-survey results predicted future change, although trends were not significant, i.e. Jizan (R 2 = 22%), Turfah (R 2 = 14%) and Ash Shuqayq (R 2 = 3 and 61% with outlying value removed). Aerial photos showed regional coastal changes, which included a maximum accretion of 36.4 m and maximum erosion of 12.9 m. These are scientifically effective techniques to monitor regional coastal change, i.e. erosion and accretion and identified rates of 0.59, 1.80 and 3.53 myr −1 for Ash Shuqayq, Turfah and Jizan. Changes were linked to infrastructure developments, e.g. tourism, port development and natural causes, e.g. spit formations and wadi outfalls.

Coastal dynamic is the complex result of multiple natural and human processes, and past and future coastal behavior studies become fundamental to support coastal zone management. However, the reliability of coastal evolution studies is strongly dependent on the analyzed time interval. The longer the period is, the more reliable the past shoreline change analysis and the forecast of shoreline position will be. The present study showed the 50-years shoreline evolution of the Catania coastal plain (Southern Italy), a densely populated area where human-induced processes profoundly changed natural dynamics. Landsat and Sentinel imageries were used to extract shorelines’ position over the time between 1972 and 2022 and the DSAS tool was used to calculate the shoreline change rates. The shoreline evolution in 2032 and 2042 was performed by the Kalman filter method, a tool largely applied to forecast short-term shoreline future position. Most of the Catania coastal plain was mainly retreati...

Coastal areas are among the most biologically productive, dynamic and valued ecosystems on Earth. They are subject to changes that greatly vary in scale, time and duration and to additional pressures resulting from anthropogenic activities. The aim of this work was to investigate the shoreline evolution and the main environmental changes of the coastal stretch between the towns of Licata and Gela (in the Gulf of Gela, Sicily, Italy). The methodology used in this work included the analysis of: (i) shoreline changes over the long- and medium-term periods (1955–2019 and 1989–2019, respectively), (ii) dune system fragmentation and (iii) the impact of coastal structures (harbours and breakwaters) on coastal evolution. The shoreline change analysis mainly showed a negative trend both over the long- and medium-term periods, with a maximum retreat of 3.87 m/year detected over the medium-term period down-drift of the Licata harbour. However, a few kilometres eastward from the harbour, signif...

The main characteristic of a coastal system is its variability. Many factors are involved in the evolution of the shoreline, which can depend on the weather, on geology, and on the presence or absence of river mouths. They can also depend on the urbanization of the coasts or of the interior areas. In order to prevent coastal erosion, it is necessary to clearly understand the interaction of so many factors. In this regard both geological and historical aspects, experimental and theoretical models have to be considered in order to analyze the extreme variability of the system. This paper is divided into three parts. The first is concerned with the historical variation of the Calabria shoreline, evaluated through cartographic analysis. All data are provided by the Calabria Basin Authority and the analysis is made with GIS software. The first part ends with the identification of the areas characterized by coastal erosion. The second part is concerned with the evaluation of the causes of the erosion and the identification of the best type of intervention. The last part is concerned with the latest approaches to coastal dynamic, in particular Barbaro et al.

The Prokopos Lagoon is part of the Kotychi Strofilias National Wetlands Park, which is supervised by the Ministry of Environment, Energy and Climate Change of Greece. The lagoon is situated at the northwestern coast of the Peloponnese and is protected by the Ramsar Convention. It is an important ecosystem with ecological services providing habitats for many plants and animals and essential goods and services for humans as well. No previous relevant studies for the wider wetland area are available, and given that lagoons are important ecosystems, their diachronic evolution should be under constant monitoring. Using remote sensing techniques in Geographic Information System (GIS) environment, alterations in critical parameters could be measured and applied for the protection of the area. The present study examines the spatiotemporal changes of the water extent of the Prokopos Lagoon, estimating landscape metrics and several morphometric parameters and indices related to the geomorphol...

Shoreline change is an important morphological feature used to identify impacts on coastal processes caused by coastal infrastructure or natural conditions (e.g., storms or sea level rise), providing insightful information for coastal and shoreline management. While shoreline measurements are not always available, remote sensing data can provide shoreline position in scarce data areas, as well as in large and inaccessible regions. Nevertheless, few studies have used multi-temporal remote sensing data to study gradual changes for time frames of less than 10 years due to the low spatial resolution for detecting small changes. In this study, we explore the use of image data fusion from the Satellite Pour l'Observation de la Terre-5 (SPOT-5), taking into account the accuracy of shoreline mapping to detect changes in both disturbed and undisturbed coasts during 10 years in the northwestern Yucatan coast. Our results show that using image data fusion in SPOT-5 images is a feasible method to detect shoreline change trends in a relatively short time frame. Based on the proposed method, we were able to identify the factors leading to shoreline trends. This methodology proves useful for shoreline management and is appropriate for the planning of future developments in areas for which data are scarce.

Coastal monitoring plays a vital role in environmental planning and hazard management related issues. Since shorelines are fundamental data for environment management, disaster management, coastal erosion studies, modelling of sediment transport and coastal morphodynamics, various techniques have been developed to extract shorelines. Random Forest is one of these techniques which is used in this study for shoreline extraction.. This algorithm is a machine learning method based on decision trees. Decision trees analyse classes of training data creates rules for classification. In this study, Terkos region has been chosen for the proposed method within the scope of "TUBITAK Project (Project No: 115Y718) titled" Integration of Unmanned Aerial Vehicles for Sustainable Coastal Zone Monitoring Model-Three-Dimensional Automatic Coastline Extraction and Analysis: Istanbul-Terkos Example ". Random Forest algorithm has been implemented to extract the shoreline of the Black Sea where near the lake from LANDSAT-8 and GOKTURK-2 satellite imageries taken in 2015. The MATLAB environment was used for classification. To obtain land and waterbody classes, the Random Forest method has been applied to NIR bands of LANDSAT-8 (5 th band) and GOKTURK-2 (4 th band) imageries. Each image has been digitized manually and shorelines obtained for accuracy assessment. According to accuracy assessment results, Random Forest method is efficient for both medium and high resolution images for shoreline extraction studies.

This article discusses the outcome of a research on tourism promotion through events where the survey was conducted at Borneo Street Dance (BSD) 2012 in Sabah, one of states inMalaysia, and it was organised by the Ministry of Tourism Malaysia. The event was held to promote domestic tourism and to attract youth participation in performing art where they could showcase their talents and creativity. The findings of this research suggested that event such as BSD was able to attract interest and participation among youth from all over the state and this contributed to the promotion of domestic tourism. The event is also able to attract youth’s interest to fill their free time with beneficial and favorable activities while exposing them toethnic diversity in the highly diverse culture of namely Sabah, Sarawak and the Federal Territory of Labuan. This is where the event could foster tolerance and understanding on the diverse ethnic among the youth in Sabah, Sarawak and Labuan and thought t...

Elektroniskā versija nesatur pielikumusTomas Saks Promocijas darbs: „Vidus Vislas un Vēlās Vislas laika paraglaciālie un zemledāja vides apstākļi Rietumlatvijas piekrastes līdzenumos” Anotācija Šajā pētījumā ir prezentēti Baltijas jūras stāvkrastu glaciotektonisko struktūru kartēšanas, glaciālo reljefa formu dešifrēšanas rezultāti un precizēta Rietumlatvijas pleistocēna slāņkopas augšējās daļas hronostratigrāfjija. Zem morēnas smilšainajos nogulumos ir veikti 13 jauni OSL datējumi. Glaciotektonisko struktūru kartēšanas rezultāti ļauj izšķirt trīs dažādus ledāja gultnes deformācijas veidus: (I) Atsegumu posmi, kas atbilst ledus mēļu centrālajai zonai, un kuriem ir raksturīgs mozaīkveida zemledāja deformācijas un morēnas akrēcijas sadalījums. (II) Atsegumu posmi, kas raksturojas ar kompresijas deformācijas struktūru sistēmu. Šie atsegumu posmi atbilst ledus mēļu marginālajām zonām, un ir šķērsgriezums bīdes sānu morēnām. (III) Atsegumu posmi, kuros nav zemledāja deformācijas pazīmes, ...

This article reports the results of a structural an d micromorphological investigation of heavily contorted sequence of glacial and non-glaci a deposits. The main part of the Pleistocene sequence comprises two units of differe nt till facies, glaciofluvial, glaciolacustrine and marine deposits. The top of th is section was truncated by the Glacial Baltic Ice Lake waters. This abrasion surface is ma rked by an occasional concentration of erratic boulders or boulder pavement, and covered b y a thin layer of nearshore sediments, and in places by postglacial dune sand. The structural geo ogy of the Pleistocene deposits suggests multiphase glaciotectonic deformation including ini tial proglacial folding and faulting, following subglacial reshaping of preceding glaciot ectonic structures and, finally, deposition of the upper till unit, and dêcollement. The OSL da ting from the glaciolacustrine fine grained sand revealed that it was last bleached 43-45 thous and years ago, yielding to the ...

Coastal regions are one of the most vulnerable areas to the effects of global warming, which is accompanied by an increase in mean sea level and changing shoreline configurations. In Indonesia, the socioeconomic importance of coastal regions where the most populated cities are located is high. However, shoreline changes in Indonesia are relatively understudied. In particular, detailed monitoring with remote sensing data is lacking despite the abundance of datasets and the availability of easily accessible cloud computing platforms such as the Google Earth Engine that are able to perform multi-temporal and multi-sensor mapping. Our study aimed to assess shoreline changes in East Java Province Indonesia from 2000 to 2019 using variables derived from a multi-sensor combination of optical remote sensing data (Landsat-7 ETM and Landsat-8 OLI) and radar data (ALOS Palsar and Sentinel-1 data). Random forest and GMO maximum entropy (GMO-Maxent) accuracy was assessed for the classification o...

The shoreline is a boundary between wet and dry part of the beach, and it is dynamic in nature. Natural and human factors are always influencing shoreline configuration. One of the important natural events which are responsible for the shoreline configuration along the Karnataka coast is southwest monsoon, and hence there is a change in shoreline position between pre-and post-monsoon. For the present research work, Karwar beach with two beaches, Rabindranath Tagore beach and Devabagh beach along Karnataka coast, West coast of India were selected as study area. Landsat-8 satellite images for the years 2013-2017 were used in the present study and processed for May and October of every year, using ERDAS imagine 2014 and ArcGIS 10.3 tools to generate shoreline configuration maps. Finally, the comparison was made between 2013 and 2017 years, and the results indicate that the Devbagh beach during pre-monsoon season has an average shoreline change rate of −7.54 m/yr (EPR) and −5.57 m/yr (LRR) and during postmonsoon season it is 0.34 m/yr (EPR) and −0.46 m/yr (LRR). Similarly, Rabindranath Tagore beach during pre-monsoon seasons has an average shoreline change rate of 0.004 m/yr (EPR) and 1.67 m/yr (LRR), and in post-monsoon season, it is −5.77 m/yr (EPR) and −6.55 m/yr (LRR) respectively. The total uncertainty error was estimated and found to be AE 5.00 m/yr.

Monitoring shoreline changes is important in detecting abrasion and accretion in coastal areas. This study aimed to determine the level of shoreline change caused by abrasion and accretion and estimate the change rate. The study area covers coastal areas in ten Districts in Biak Numfor Regency (only on Biak Island). Six Landsat image datasets (1997, 2002, 2007, 2013, 2018, and 2022) were used to determine the coastline. Shoreline changes were analysed using DSAS software. The results of digitising the shoreline show a change in the length of the shoreline during the six data periods. Based on NSM and EPR for the last ten years (2013-2022), the average shoreline changes due to abrasion range from -6.65 to -13.16 m with an abrasion rate of -0.76 to -1.50 m/year. Meanwhile, the average shoreline changes due to accretion ranged from 4.64 to 8.45 m with an accretion rate of 0.53 m/year to 0.96 m/year. Changes in shoreline based on the rate of abrasion and accretion vary greatly in each d...

The South Bali coast is prone to abrasion due to its geographical position facing the Indian Ocean. High sea waves and currents in the south of Bali will erode beaches whose lithology and morphology are prone to abrasion. Land cover conditions that do not support coastal protection will also affect the high abrasion of the southern coast of Bali. This study aims to analyze the shoreline changes in South Bali from 1995-2021. The analytical method used is the Digital shoreline analysis system (DSAS), with data from Landsat 5 TM, Landsat 7 ETM+, Landsat 8 OLI/TIRS, and Sentinel 2A. The analysis results show that the area directly facing the waves is relatively high, with volcanic rock formations, and there is no mangrove as coastal protection. The lack of good coastal management shows the area with the highest abrasion. It was found in the western part of Tabanan Regency, eastern Gianyar, and southern Badung. Meanwhile, the average coastal accretion was relatively high in the neck of S...

Coastal erosion is due to natural phenomena and anthropogenic interventions that alter the coastal dynamics and the sediment balance. Therefore, to manage the coastal areas and to correctly design the necessary defence interventions, it is necessary to analyze all these factors. Consequently, in recent years the methodologies for the coastal erosion hazard and vulnerability assessment have increasing importance. However, there is currently a lack of a general methodology that considers all the factors that influence the coastal dynamics and, therefore, the hazard and the vulnerability. This paper, through a case study, describes a new methodology based on indices that considers all the factors that influence the hazard and the vulnerability, thus resulting in general validity. This methodology defines two indices of hazard and vulnerability. The hazard index considers all the natural processes that contribute to the phenomenon of coastal erosion, such as tides, currents, average sea level rise due to climate change, wave climate and both coastal and river sediment transport. The vulnerability index, on the other hand, includes all those characteristics of the coast that can make it more or less vulnerable to coastal erosion, such as its geological and morphological characteristics (both of the emerged and submerged part), its evolutionary trend, the presence of dune systems, vegetation and coastal and/or port defence works, the subsidence rates and the degree of waterproofing of the coast. The case study concerns Porticello, a town near the Strait of Messina characterized by a high coastal erosion risk. Porticello represents an interesting case study due to the peculiarities of the Strait of Messina and the presence of numerous coastal structures. The study area extends for about 1.5 km, inside there are numerous coastal structures, two river mouths and numerous houses built close to the shoreline.

Jizan is one of the Saudi Arabian coastal cities endowed with diverse natural settings, which includes Ash Shuqayq in the north, Turfah in the centre and Jizan in the South. This work analysed specific environmental characteristics, such as spits, sabkhas and wadis. Assessments used Landsat imagery to examine coastal change between 1973 and 2011. The cumulative temporal change identified regression trends given by coefficients of determination that explained a significant percentage of data variation for Jizan (R 2 = 69%) and Turfah (R 2 = 72%), while Ash Shuqayq was insignificant (R 2 = 14%). Inter-survey results predicted future change, although trends were not significant, i.e. Jizan (R 2 = 22%), Turfah (R 2 = 14%) and Ash Shuqayq (R 2 = 3 and 61% with outlying value removed). Aerial photos showed regional coastal changes, which included a maximum accretion of 36.4 m and maximum erosion of 12.9 m. These are scientifically effective techniques to monitor regional coastal change, i.e. erosion and accretion and identified rates of 0.59, 1.80 and 3.53 myr −1 for Ash Shuqayq, Turfah and Jizan. Changes were linked to infrastructure developments, e.g. tourism, port development and natural causes, e.g. spit formations and wadi outfalls.

The South Bali coast is prone to abrasion due to its geographical position facing the Indian Ocean. High sea waves and currents in the south of Bali will erode beaches whose lithology and morphology are prone to abrasion. Land cover conditions that do not support coastal protection will also affect the high abrasion of the southern coast of Bali. This study aims to analyze the shoreline changes in South Bali from 1995-2021. The analytical method used is the Digital shoreline analysis system (DSAS), with data from Landsat 5 TM, Landsat 7 ETM+, Landsat 8 OLI/TIRS, and Sentinel 2A. The analysis results show that the area directly facing the waves is relatively high, with volcanic rock formations, and there is no mangrove as coastal protection. The lack of good coastal management shows the area with the highest abrasion. It was found in the western part of Tabanan Regency, eastern Gianyar, and southern Badung. Meanwhile, the average coastal accretion was relatively high in the neck of South Bali, in areas where the land cover was mangrove and adjacent to river mouths, which experienced much sedimentation.

Regular and long-term monitoring of coastal areas is a prerequisite to avoiding or mitigating the impacts of climate and human-driven hazards. In Africa, where populations and infrastructures are particularly exposed to risk, there is an urgent need to establish coastal monitoring, as observations are generally scarce. Measurement campaigns and very high-resolution satellite imagery are costly, while freely available satellite observations have temporal and spatial resolutions that are not suited to capture the event scale. To address the gap, a network of low-cost, multi-variable, shore-based video camera systems has been installed along the African coasts. Here, we present this network and its principle of sharing data, methods, and results obtained, building toward the implementation of a common integrated coastal management policy between countries. Further, we list new contributions to the understanding of still poorly documented African beaches’ evolution, waves, and sea level...

This study presents measurement of changes using image processing techniques, Digital Shoreline Analysis System (DSAS) and Landsat images along the coast of the island of Djerba, Tunisia. Three regions of this island were selected: Rass Errmall, El Kastil and Aghir. Accretions as well as erosion processes were observed in the study areas between 1984 and 2009. The average of the erosion was around-6.95 m/yr in Aghir. The average of erosion is around-4.09 m/yr and accretion trend is around +11.7 m/yr in Rass Errmall. El kestil was under a remarkable accretion with 21.14 m/yr during the same period.

The BIMP-EAGA nations are collaborating to promote the subregion as a top ecotourism destination in Asia and the Pacific in order to capitalise on the future post-pandemic tourism boom. Increased tourism collaboration can close development gaps for the local community in less developed areas with higher chances for sustainable livelihoods. The focus of this study is outlining the development of Community-Based Ecotourism (CBE) in order to achieve sustainability and how BIMP-EAGA CBE destinations can collaborate for better synergies. The case study site is the CBE of Desa Cinta Kobuni located in Kota Kinabalu city, one of the major cities in the BIMP-EAGA region. The current tourism activities in Desa Cinta Kobuni are still in the growth stage and mainly focused on cultural tourism products and activities that showcase their traditional food, clothing, language, history, values, beliefs, dance, arts, and crafts. The study’s methodological approach is qualitative with a case study and narrative inquiry, also known as storytelling. The methodology enables the study to access valuable insight with rich data into the complexity of developing the community-based ecotourism. The results showed that there are three major positive impacts to the Desa Cinta Kobuni, which are, 1) the increment of secondary income; 2) the advancement of women’s empowerment; and 3) the enhanced sustainability initiatives of the villagers. Since there is a significant positive transformation of the village and the local community, the study recommended that collaborating with other destinations would improve the chance of Desa Cinta Kobuni to grow further in CBT.

Keywords
community, ecotourism, sustainability, sustainable development, BIMP-EAGA

The engagement of local community in environmental and marine life conservation is crucial for the development of a successful conservation promotion and other related initiatives. This would possibly lead to a sustainable conservation and marine-based tourism and community-based strategies for environmental planning and management. Given the attention of sea turtle conservation in the islands on the east coast of Peninsula Malaysia, the symbiotic relationship between local communities and the environment could become the most effective common marketing strategy in promoting sea turtle conservation, which has not been explored extensively now. Considering the above, this paper aims at developing a community engagement framework for a sustainable sea turtle conservation and other related tourism activities. The methodology of this conceptual paper is based on the development of community engagement factor as it was developed in previous studies. Besides that, the conceptual framework...

In this era of globalisation, most university curriculum requires new sets of settings and arrangements. Universiti Malaysia Sabah (UMS) is no exception. Multidisciplinary , academic degree-granting programme in UMS have been designed for students and faculties as the basis in ensuring a harmonious existence within and outside the campus. Most of the curriculum in UMS is designed to promote the understanding of universal values and traditions consistent with the quest for global peace and human solidarity. UMS not only provides knowledge, practical experience and skills for scholars and practitioners involved in conflict resolution but also play its role as a peace builder; giving humanitarian and economic assistance. To bring about peace and harmony amongst students of diverse religious and cultural backgrounds, UMS has two components: one is the orientation-training programme for all the new students and the other is the year-round practical training, character building and curriculum development programmes. This paper examines how the forces of globalisation have transformed its curriculum and raised new challenges to our existing institutions in promoting peace and intercultural harmony among students and staff alike.

A new remote sensing method based on video imaging is tested on a steep reflective beach (Grand Popo, Benin) to characterize the variation of the bed level and water level in the swash. The set up used enables the measurement of the wave by wave impact of swash on the beach morphology. Large variations up to 10 cm of the bed level are observed at periods longer than group periods, suggesting a substantial morphological control on the swash dynamics. The effect of individual swash events on high frequency change of bed level is taken into account relating hydrodynamics and morphodynamics variables to the bed evolution. Preliminary results show a strong correlation of the high frequency bed change with swash hydrodynamics and group influence.

Incident wave conditions and morphological beach response in the region of West and Central Africa are investigated using data collected with a regional network of permanent video cameras systems. Daily beach profiles were computed combining video shoreline detection at different tide levels and bathymetric estimate from wave celerity at three specific sites: Grand Popo (Benin), Mbour (Senegal) and Kribi (Cameroon). Results show that the low tide terrace of the intermediate-reflective beach of Grand Popo affects shoreline response at the event and seasonal time scales by modulating wave energy at the beach face. Based on this preliminary study and in the framework of a sustainable video station deployment, this paper highlights the potential of a video station network to address waves and coastal response on the time scales from hours to decade(s) in tropical coastal environments where data are lacking.

This paper assesses the morphological storm-event impact, seasonal cycles, trends of wave forcing, and beach's response at the coastal area of Grand Popo, Benin. Three and a half years' worth of data were collected from 2013 to 2016, using a video system calibrated with field data collected during a 10 day experiment. A comparison was carried out with Wavewatch III IOWAGA wave hindcast data. The along-shore-averaged shoreline position exhibited a seasonal pattern, which was related more to the average wave height than the average storm intensity. Storms occur in austral winter (June, July, August, and September). Based on 12 storms, the results revealed that the average storm duration was 1.6 days, with a mean erosion of 3.1 m. The average post-storm beach recovery duration was 15 days, and the average recovery rate was 0.4 m/day. The impact of storms was more or less amplified depending on the eroding and accreting periods of the wave climate. There was an inter-annual eroding trend of about −1.6 m/year, but the causes of this trend could not be explained.

The Bight of Benin in the Gulf of Guinea, West Africa, forms an embayment between the Volta River delta in the west (Ghana) and the Niger River delta (Nigeria) in the east. The bight coast comprises sandy beaches backed by Holocene beach-ridge barriers. Incident swell waves, beachface gradient and the unidirectional longshore sand transport from west to east are intimately linked, generating a classic example of a strongly wave-dominated drift-aligned coast. The stability of this coast, which hosts several major cities in addition to three large international deepwater ports, has been strongly affected by human activities. We analyzed shoreline mobility and coastal area change over the period 1990-2015. Our results show how the stability of this coast has been strongly affected by the three ports therein, and by natural and human-altered shoreline dynamics related to the Volta River delta and to distributaries at the northwestern flank of the Niger delta. The combination of these factors has impacted alongshore sediment redistribution by segmenting the previously unrestrained longshore transport of sand that prevailed along this open coast. The result is a mixture of natural and artificial sediment cells increasingly dominated by shoreline stretches subject to erosion, endangering parts of the rapidly expanding port cities of Lomé (Togo), Cotonou (Benin) and Lagos (Nigeria), coastal roads and infrastructure, and numerous villages. Post-2000, the entire bight shoreline has undergone a significant decrease in accretion, which is here attributed to 2 an overall diminution of sand supply via the longshore transport system. We attribute this diminution to the progressive depletion of sand-sized bedload supplied to the coast through the main Volta river channel downstream of the Akosombo dam, built between 1961 and 1965. Sand mining to cater for urban construction in Lomé, Cotonou and Lagos has also contributed locally to beach sediment budget depletion. Although alongshore sediment supply from the Volta River has been the dominant source of sand for the stability or progradation of the Bight of Benin coast, potential sand supply from the shoreface, and the future impacts sea-level rise on this increasingly vulnerable coast are also important. The continued operation of the three ports and of existing river dams, and sea-level rise, will lead to sustained shoreline erosion along the Bight of Benin in the coming decades.

The first large nearshore field experiment in the Gulf of Guinea was conducted at Grand Popo Beach, Benin, in February 2013, on an open wave-dominated micro-to meso-tidal coast, located midway between Cotonou and Lome harbours. The overall project aims at understanding at multi-scale (from event to interannual) the causes of the dramatic erosion observed throughout the Bight of Benin, and caused by the interaction of a large littoral drift with human engineering works. Grand Popo 2013 experiment was designed to measure the processes over the short term and to test the ability of an installed video system to monitor the evolution of this stretch of coast over the longer term. The beach, characterized by a low-tide terrace and a high tide reflective part, experiences a long swell (Hs=1.6 m, Tp=16 s, oblique incidence ~15-20°). Topographic surveys showed a double beach cusp system interaction and repeated surf-zone drifter runs revealed high flash and swash rip activity driven by wave dissipation over the terrace and energetic swash dynamics at the upper reflective beach. Swash was measured over a cusp system at two locations using video poles. Wave reanalyses (ERAInterim) were used to determine the wave climate and its variability, and to quantify sediment transport. This robust methodology is thought to be replicated elsewhere in different coastal environments in West Africa, in particular with the objective to monitor various sites within the framework of the new West African Coastal Observatory.