Shoreline change analysis of the Kizilirmak Lagoon Series

Öztürk, Derya; Sesli, Faik Ahmet

doi:10.1016/j.ocecoaman.2015.03.009

Cited by 64 publications

(28 citation statements)

References 28 publications

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“…Shoreline changes has been analyzed using a variety of different methods and techniques which include field surveys, fixed monitoring stations, Geographic Information System (GIS), satellite remote sensing images, and transect lines techniques e.g., [1,[3][4][5][6][7][8][9]. Field survey trips to measure the point and transect lines are usually time-and labor-consuming [4].…”

Section: Introductionmentioning

confidence: 99%

Historical Monitoring of Shoreline Changes in the Cua Dai Estuary, Central Vietnam Using Multi-Temporal Remote Sensing Data

et al. 2017

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Cua Dai is one of the major estuarine areas in Central Vietnam that plays a significant role in local maritime transport, fisheries, and tourism activities. This paper presents a study that monitored the shoreline dynamics of the Cua Dai estuary over a period of 50 years by using field survey data, geographic information systems techniques, and multi-temporal satellite remote sensing images (ALOS-AVNIR2 and Landsat imageries). The assessment of shoreline changes was divided into three phases: 1964-1980, 1981-2000, and 2001-2014. The results revealed that over the last 50 years, shoreline changes dramatically occurred between 1964 and 1980. The general trends of erosion and accretion at the Cua Dai estuary show that the river mouth moved towards the south due to the erosion of shorelines in the north and the river bank in the south of the Cua Dai estuary. The study outcomes can provide essential information for planning, zoning, and sustainable development activities of the coastal zones in the context of climate change.

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Section: Introductionmentioning

confidence: 99%

Historical Monitoring of Shoreline Changes in the Cua Dai Estuary, Central Vietnam Using Multi-Temporal Remote Sensing Data

et al. 2017

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“…The data from the tide gauge show that the tidal height varied approximately between 0.20 to 2.80 m during the passes of Landsat TM (Thematic Mapper) and OLI (Operational Imager) over the past three decades ( Table 2). We selected only cloud-free and atmospherically corrected 30-m Landsat (TM: Thematic Mapper and OLI: Operational Image Processor) images acquired in non-flooding pre-monsoon season (Dec-April) to evaluate the geomorphological change of the coastline [27,35]. All the Landsat CDR (climate data records) images were pre-processed to L1T level (i.e., after standard terrain correction) with consistent geo-registration and within the prescribed tolerances (i.e., 12 m root-mean-square error) [11].…”

Section: Zonementioning

confidence: 99%

Three Decades of Coastal Changes in Sindh, Pakistan (1989–2018): A Geospatial Assessment

et al. 2019

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Coastal erosion endangers millions living near-shore and puts coastal infrastructure at risk, particularly in low-lying deltaic coasts of developing nations. This study focuses on morphological changes along the~320-km-long Sindh coastline of Pakistan over past three decades. In this study, the Landsat images from 1989 to 2018 at an interval of 10 years are used to analyze the state of coastline erosion. For this purpose, well-known statistical approaches such as end point rate (EPR), least median of squares (LMS), and linear regression rate (LRR) are used to calculate the rates of coastline change. We analyze the erosion trend along with the underlying controlling variables of coastal change. Results show that most areas along the coastline have experienced noteworthy erosion during the study period. It is found that Karachi coastline experienced 2.43 ± 0.45 m/yr of erosion and 8.34 ± 0.45 m/yr of accretion, while erosion on the western and eastern sides of Indus River reached 12.5 ± 0.55 and 19.96 ± 0.65 m/yr on average, respectively. Coastal erosion is widespread along the entire coastline. However, the rate of erosion varies across the study area with a general trend of erosion increasing from west to east in the Indus Delta region (IDR), and the highest average erosion rate is 27.46 m/yr. The interdecadal change during 1989-periods depicted an increasing linear trend (R 2 = 0.78) from Karachi to Indus River (IR) East zone. The spatial trend from west to east is positively correlated with mean sea level rise, which has increased from 1.1 to 1.9 mm/year, and negatively correlated with topographic slope, which is found to be decreasing eastward along the coastline. The findings necessitate appropriate actions and have important implications to better manage coastal areas in Pakistan in the wake of global climate change.

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“…The shoreline is an indicator of the ecological health of coastal areas [3,[9][10][11]. In past decades, the development of mega-infrastructure projects in coastal areas for urbanization/industrialization has placed more stress on the coastal ecosystem and changed ocean hydrodynamics [12][13][14][15][16]. Unplanned coastal development coupled with the natural action of ocean processes has led to the increasing vulnerability of low lying coastal environments [16][17][18].…”

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confidence: 99%

“…Both types of shoreline change are important for understanding trends in coastal sustainability for different times and spaces [3].Anthropogenic activities coupled with global warming intensify ocean controlling factors that modify the coastal environment [20,21]. Morphological shoreline changes are directly associated with wave height, tide level, wind speed, periodic storms, and sea level [15,22]. Specifically, an accelerated rise in sea level and cyclones pose a considerable threat to populations living within a 100 km vicinity of the shoreline, as well as their economic assets.…”

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confidence: 99%

“…For the monitoring of coastal zones, a common method for the assessment of spatiotemporal variability of the shoreline consists of the extraction of the shoreline position using multi-temporal data sources [5,6,22,23]. The primary data sources used for shoreline extraction and evaluation are historical photographs, coastal maps/charts, aerial and beach surveys, global positioning system based shoreline surveys, and images acquired through satellite sensors [15,24,25]. Each source has its own measurement and positional uncertainty [1,4,7,26].…”

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confidence: 99%

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Coastline Vulnerability Assessment through Landsat and Cubesats in a Coastal Mega City

et al. 2020

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According to the Intergovernmental Panel on Climate Change (IPCC), global mean sea levels may rise from 0.43 m to 0.84 m by the end of the 21st century. This poses a significant threat to coastal cities around the world. The shoreline of Karachi (a coastal mega city located in Southern Pakistan) is vulnerable mainly due to anthropogenic activities near the coast. Therefore, the present study investigates rates and susceptibility to shoreline change using a 76-year multi-temporal dataset (1942 to 2018) through the Digital Shoreline Analysis System (DSAS). Historical shoreline positions were extracted from the topographic sheets (1:250,000) of 1942 and 1966, the medium spatial resolution (30 m) multi-sensor Landsat images of 1976, 1990, 2002, 2011, and a high spatial resolution (3 m) Planet Scope image from 2018, along the 100 km coast of Karachi. The shoreline was divided into two zones, namely eastern (25 km) and western (29 km) zones, to track changes in development, movement, and dynamics of the shoreline position. The analysis revealed that 95% of transects drawn for the eastern zone underwent accretion (i.e., land reclamation) with a mean rate of 14 m/year indicating that the eastern zone faced rapid shoreline progression, with the highest rates due to the development of coastal areas for urban settlement. Similarly, 74% of transects drawn for the western zone experienced erosion (i.e., land loss) with a mean rate of −1.15 m/year indicating the weathering and erosion of rocky and sandy beaches by marine erosion. Among the 25 km length of the eastern zone, 94% (23.5 km) of the shoreline was found to be highly vulnerable, while the western zone showed much more stable conditions due to anthropogenic inactivity. Seasonal hydrodynamic analysis revealed approximately a 3% increase in the average wave height during the summer monsoon season and a 1% increase for the winter monsoon season during the post-land reclamation era. Coastal protection and management along the Sindh coastal zone should be adopted to defend against natural wave erosion and the government must take measures to stop illegal sea encroachments.Remote Sens. 2020, 12, 749 2 of 24 developments in coastal areas [1,2]. Therefore, shoreline indicators are used for a consistent representation of a shoreline. The most common shoreline indicators are the tidal datum (e.g., a specific elevation at the land-ocean boundary) and visually discernible features (e.g., a revetment structure, an erosion scarp, a previous high-tide high-water level, low-tide low-water level, or dune vegetation line, etc.) [3][4][5][6][7][8]. The shoreline is an indicator of the ecological health of coastal areas [3,[9][10][11]. In past decades, the development of mega-infrastructure projects in coastal areas for urbanization/industrialization has placed more stress on the coastal ecosystem and changed ocean hydrodynamics [12][13][14][15][16]. Unplanned coastal development coupled with the natural action of ocean processes has led to the increasing vulnerability of low lying coasta...

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Shoreline change analysis of the Kizilirmak Lagoon Series

Cited by 64 publications

References 28 publications

Historical Monitoring of Shoreline Changes in the Cua Dai Estuary, Central Vietnam Using Multi-Temporal Remote Sensing Data

Historical Monitoring of Shoreline Changes in the Cua Dai Estuary, Central Vietnam Using Multi-Temporal Remote Sensing Data

Three Decades of Coastal Changes in Sindh, Pakistan (1989–2018): A Geospatial Assessment

Coastline Vulnerability Assessment through Landsat and Cubesats in a Coastal Mega City

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