scholarly journals Documenting a Century of Coastline Change along Central California and Associated Challenges: From the Qualitative to the Quantitative

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2648 ◽  
Author(s):  
Gary Griggs ◽  
Lida Davar ◽  
Borja G. Reguero
Keyword(s):  
Coastal Erosion ◽  
Shoreline Change ◽  
Initial Step ◽  
Sandy Beaches ◽  
Change Analysis ◽  
The West ◽  
Central California ◽  
Coastline Change ◽  
Coastal Cliffs ◽  
Cliff Retreat

Wave erosion has moved coastal cliffs and bluffs landward over the centuries. Now climate change-induced sea-level rise (SLR) and the changes in wave action are accelerating coastline retreat around the world. Documenting the erosion of cliffed coasts and projecting the rate of coastline retreat under future SLR scenarios are more challenging than historical and future shoreline change studies along low-lying sandy beaches. The objective of this research was to study coastal erosion of the West Cliff Drive area in Santa Cruz along the Central California Coast and identify the challenges in coastline change analysis. We investigated the geological history, geomorphic differences, and documented cliff retreat to assess coastal erosion qualitatively. We also conducted a quantitative assessment of cliff retreat through extracting and analyzing the coastline position at three different times (1953, 1975, and 2018). The results showed that the total retreat of the West Cliff Drive coastline over 65 years ranges from 0.3 to 32 m, and the maximum cliff retreat rate was 0.5 m/year. Geometric errors, the complex profiles of coastal cliffs, and irregularities in the processes of coastal erosion, including the undercutting of the base of the cliff and formation of caves, were some of the identified challenges in documenting historical coastline retreat. These can each increase the uncertainty of calculated retreat rates. Reducing the uncertainties in retreat rates is an essential initial step in projecting cliff and bluff retreat under future SLR more accurately and in developing a practical adaptive management plan to cope with the impacts of coastline change along this highly populated edge.

scholarly journals Coastline change analysis and erosion prediction using satellite images

2018 ◽  
Vol 197 ◽  
pp. 13003 ◽  
Author(s):  
Putu Aryastana ◽  
I Made Ardantha ◽  
Kadek Windy Candrayana
Keyword(s):  
Spatial Resolution ◽  
Coastal Area ◽  
Coastal Erosion ◽  
Central Government ◽  
Morphological Changes ◽  
Average Rate ◽  
Change Analysis ◽  
Erosion Prediction ◽  
Coastline Change ◽  
Spot 5

The study of monitoring and analysis of coastline change and erosion prediction has been widely used satellite imagery. Satellite data that is often used in monitoring studies and analysis of coastline changes are Landsat, Quickbird, Allos, SPOT, IKONOS, etc. The aim of study is to determine an average of coastline change and average of coastal erosion in coastal area of Tabanan Regency, Bali Province, Indonesia by using two kind satellite are SPOT 5 in 2009 has a spatial resolution of 10 m (multispectral) and SPOT 6/7 in 2015 has a spatial resolution 1.5 m. This research contributes to local government and central government as a database in decision making for coastal area management. The result of analysis shows the average of coastline change in Tabanan regency is 13.96 m and the average rate of coastal erosion is 1.99 m/year. The coastline movement or erosion has caused the morphological changes.

scholarly journals A Comparison of Landsat-8 OLI, Sentinel-2 MSI and PlanetScope Satellite Imagery for Assessing Coastline Change in El-Alamein, Egypt

2021 ◽  
Vol 10 (1) ◽  
pp. 23
Author(s):  
Kamal Darwish ◽  
Scot Smith
Keyword(s):  
Software Tool ◽  
Shoreline Change ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Change Analysis ◽  
Water Index ◽  
Coastline Change ◽  
Geomorphological Changes ◽  
Analysis System ◽  
Sentinel 2A

The objective of this study was to provide an assessment of coastline extraction and change analysis using different sensors from three satellites over time. Imagery from Landsat-8 OLI, Sentinel-2A MSI, and PlanetScope-3B were used to detect geomorphological changes along the El-Alamein coastline on the Mediterranean Sea between August 2016 and August 2021. The normalized difference water index (NDWI) was applied to automate, detect and map water bodies based on thresholding techniques and coastline extraction. The extracted coastlines were analyzed using geographic information systems (GIS)-based digital shoreline analysis system (DSAS.v5) model, a GIS software tool for the estimation of shoreline change rates calculated through two statistical techniques: net shoreline movement (NSM) and end point rate (EPR). The results indicate that measuring coastline morphological change using satellite-based imagery depends very much on the resolution of the imagery. It is necessary to tailor the selection of imagery to the accuracy of the measurement needed. Higher resolution imagery such at PlanetScope (3 m) produces higher resolution measurements. However, medium resolution imagery from Landsat may be sufficiently good for objectives requiring less spatial resolution.

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

2021 ◽  
Vol 15 (3) ◽  
pp. 55-80
Author(s):  
Cheikh Tidiane Koulibaly ◽  
Johnson O. Ayoade
Keyword(s):  
Coastal Erosion ◽  
Shoreline Change ◽  
Spatiotemporal Analysis ◽  
The United States ◽  
United States Geological Survey ◽  
Landsat Images ◽  
Change Analysis ◽  
Gis And Remote Sensing ◽  
Local Residents ◽  
Analysis System

This paper is aimed at analyzing the phenomenon of shoreline retreat in the locality of Rufisque from 1978 to 2018 mainly using geospatial data and field visits. A set of Landsat images from different dates at 10 year intervals was then acquired through the United States Geological Survey platform and shoreline change analysis was run using the Digital Shoreline Analysis System. In addition to that desktop work, interactions with local residents allowed the determination of ongoing adaptation strategies actually in place to cope with coastal erosion. The study showed that Rufisque is subject to serious rates of erosion reaching −19.48 m/year from 1978–1988, close to −8 m/year from 1988–1998, −5.88 m/year from 1998–2008 and −6.67 m/year from 2008–2018. Beside that coastal erosion, it has been noticed that the coastline also experienced in some of its parts cases of accretion reaching 4.94 m/year for 1988–1998, 7.29 m/year from 1998–2008 and 7.68 m/year during the period 2008–2018. In terms of surfaces, Rufisque’ shoreline respectively lost 156.81 ha (1978–1988), 80.55 ha (1988–1998), 6.94 ha (1998–2008), 12.93 ha (2008–2018) and in the same note gained 2.86 ha (1988–1998), 32.51 ha (1998–2008) and 19.16 ha (2008–2018) attesting to the fact that the coastline is subject to both spatiotemporal changes. Finally, this study also reveals that while authorities’ reaction is taking place at much lower pace, local communities are actually using their ingenuity to put in place strategies to tackle coastal erosion.

scholarly journals COASTLINE CHANGE ANALYSIS ON BALI ISLAND USING SENTINEL-1 SATELLITE IMAGERY

2021 ◽  
Vol 18 (1) ◽  
pp. 63
Author(s):  
Suhendra Suhendra ◽  
Christopher Ari Setiawan ◽  
Teja Arief Wibawa ◽  
Berta Berlian Borneo
Keyword(s):  
Satellite Imagery ◽  
Coastal Erosion ◽  
Human Factor ◽  
Change Analysis ◽  
Image Thresholding ◽  
Thresholding Method ◽  
Coastline Change ◽  
Tidal Correction

Bali is well-known as a popular tourism location for both local and foreign tourists. There are nine areas designated for tourism, eight of which are coastal. However, due to coastal erosion, the coastline of Bali is changing every year. The purpose of this study is to determine the changes that took place between 2015 and 2020 using Sentinel-1 satellite imagery. The study was conducted along the coastline of Bali Island at coordinates 08° 53' 35.5648" S, 114° 24' 41.8359" E and 08° 00' 46.7865" S, 115° 44' 17.5928" E. The coastlines were identified using the Otsu image thresholding method and linear tidal correction was performed. The coastline change analysis was made using the transect method. Ground truths were conducted in representative areas where major changes had occurred, either as a result of abrasion or accretion. According to the Sentinel-1 analysis, the coastline changes in Bali during the period 2015 – 2020 were mainly caused by abrasion, apart from at Buleleng, which were generally caused by accretion. Abrasion in Bali is dominantly affected by strong currents and high waves meanwhile accretion which having weak currents and low waves was more affected by human factor such as the construction in this study area.

scholarly journals THE DEVELOPMENT AND RESEARCH TREND OF USING DSAS TOOL FOR SHORELINE CHANGE ANALYSIS: A SCIENTOMETRIC ANALYSIS

2020 ◽  
pp. 69-77
Author(s):  
Manoranjan Mishra ◽  
Desul Sudarsan ◽  
Dipika Kar ◽  
Arun Kumar Naik ◽  
Prabhu Prasad Das ◽  
...  
Keyword(s):  
Coastal Erosion ◽  
Shoreline Change ◽  
Research Trend ◽  
Future Research ◽  
Scientometric Analysis ◽  
Optical Remote Sensing ◽  
Change Analysis ◽  
Systematic Analysis ◽  
Research Activities ◽  
Shoreline Change Analysis

The sensitivity of research on shoreline monitoring of coastal erosion is justified due to high density population, climate changes impacts, and intensified development, which are squeezing the ecosystem of coastal zones around the world. The budding fields of optical remote sensing such source medium and high-resolution satellite imagery in conjunction with avenue programming of Digital Shoreline Analysis System (DSAS) are widely used extended tools for analyzing the rate of coastal erosion and deposition. Although, there is a geometric growth in the research published documents in the last decades after the start of DSAS in 1990, but its broad insight into global peer groups, its scientometrics, pattern and trends in research activities in monitoring coastal erosion or shoreline change is missing. To breach this gap, 99 bibliographic records published in the Web of Science core collection for the period of 1994–2019 were analyzed using the VOSviewer software. Further, the analysis about global insight of research activities using DSAS in shoreline change analysis focused on (i) general scientometric characteristics of published output, (ii) experts in research themes and their cooperation, (iii) publishable journal list, (iv) institutional distribution and international collaboration, and (v) potential hotspot areas. This systematic analysis of the theme, graphically using rigorous scientmetric tools, will help coastal researchers to visualize the current research trends and prospective guideline for future research. The output of the present study will provide a robust road map to early carrier researchers for their advance inquiry in these fields in coming days.

Sandy beaches characterization and management of coastal erosion on western Sardinia island (Mediterranean Sea).

2014 ◽  
Vol 70 ◽  
pp. 395-400 ◽  
Author(s):  
Giovanni De Falco ◽  
Francesca Budillon ◽  
Alessandro Conforti ◽  
Sandro De Muro ◽  
Gabriella Di Martino ◽  
...  
Keyword(s):  
Mediterranean Sea ◽  
Coastal Erosion ◽  
Sandy Beaches

scholarly journals Assessment of shoreline changes for setback zone establishment from Son Tra (Da Nang city) to Cua Dai (Hoi An city), Vietnam

2020 ◽  
Vol 42 (4) ◽  
pp. 363-383
Author(s):  
Ngo Van Liem ◽  
Dang Van Bao ◽  
Dang Kinh Bac ◽  
Ngo Chi Cuong ◽  
Pham Thi Phuong Nga ◽  
...  
Keyword(s):  
Linear Regression ◽  
Coastal Erosion ◽  
Regression Line ◽  
Central Area ◽  
Remote Sensing Data ◽  
Shoreline Change ◽  
Shoreline Changes ◽  
Climate Change Response ◽  
Changes Over Time ◽  
Change Response

The most important function of the coastal setback is to minimize damage due to coastal erosion, climate change response, and sea-level rise. There are many directions and methods of researching and assessing coastal changes and coastal erosion. This study presents the results of the shoreline changes in the area from Son Tra (Da Nang City) to Cua Dai (Hoi An City), Central Vietnam based on remote sensing data from 1965 to 2019. Three methods are used to include End Point Ratio (EPR), Linear Regression Rate (LRR), and Weighted Linear Regression (WLR). The results show that the EPR method is effective when calculating the rate of shoreline changes only at two different times. For more objective and reliable calculation, it is necessary to assess the shoreline changes over time. Meanwhile, the LRR method was shown to be superior because all shoreline data were taken into account during the construction of the regression line. However, when there is much shoreline data with different reliability, the WLR method proved more superior because of limited objective errors. The results show that from 1965 to 2019, the coast of the Son Tra - Cua Dai area had quite complicated fluctuations, of which the northern area (Son Tra) tended to accretion, the central area tends to be alternate between accretion and erosion, while the south area (Cua Dai) is strong to very strong erosion. The coast with sudden changes is the Cua Dai area with the shoreline change envelope (SCE) reaching 512m. The results also allow us to divide the coast of the Son Tra - Cua Dai area into 30 segments. They are clustered into 8 groups with different levels of erosion and accretion. This is an important basis for the setback zone establishment in the study area.

scholarly journals Deep uncertainties in shoreline change projections: an extra-probabilistic approach applied to sandy beaches

2021 ◽  
Author(s):  
Rémi Thiéblemont ◽  
Gonéri Le Cozannet ◽  
Jérémy Rohmer ◽  
Alexandra Toimil ◽  
Moisés Álvarez-Cuesta ◽  
...  
Keyword(s):  
Sea Level ◽  
Probabilistic Approach ◽  
Shoreline Change ◽  
Sandy Beaches ◽  
Climate Mitigation ◽  
Deep Uncertainty ◽  
Mean Sea Level ◽  
Uncertain Variables ◽  
Knowledge Based ◽  
Global Mean Sea Level

Abstract. Global mean sea-level rise and its acceleration are projected to aggravate coastal erosion over the 21st century, which constitutes a major challenge for coastal adaptation. Projections of shoreline retreat are highly uncertain, however, namely due to deeply uncertain mean sea-level projections and the absence of consensus on a coastal impact model. An improved understanding and a better quantification of these sources of deep uncertainty are hence required to improve coastal risk management and inform adaptation decisions. In this work we present and apply a new extra-probabilistic framework to develop shoreline change projections of sandy coasts that allows considering intrinsic (or aleatory) and knowledge-based (or epistemic) uncertainties exhaustively and transparently. This framework builds upon an empirical shoreline change model to which we ascribe possibility functions to represent deeply uncertain variables. The model is applied to two local sites in Aquitaine (France) and Castellón (Spain). First, we validate the framework against historical shoreline observations and then develop shoreline change projections that account for possible (although unlikely) low-end and high-end mean sea-level scenarios. Our high-end projections show for instance that shoreline retreats of up to 200 m in Aquitaine and 130 m in Castellón are plausible by 2100, while low-end projections revealed that 58 m and 37 m modest shoreline retreats, respectively, are also plausible. Such extended intervals of possible future shoreline changes reflect an ambiguity in the probabilistic description of shoreline change projections, which could be substantially reduced by better constraining SLR projections and improving coastal impact models. We found for instance that if mean sea-level by 2100 does not exceed 1 m, the ambiguity can be reduced by more than 50 %. This could be achieved through an ambitious climate mitigation policy and improved knowledge on ice-sheets.

scholarly journals Spatial Analysis of Coastline Change by Remote Sensing in the North Coast of Karawang Regency

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Roberto Pasaribu ◽  
Firman Agus H. ◽  
Liliek Soeprijadi
Keyword(s):  
Shoreline Change ◽  
Rate Of Change ◽  
North Coast ◽  
Landsat 8 ◽  
Northern Coast ◽  
Shoreline Changes ◽  
The Road ◽  
Coastline Change ◽  
The North ◽  
Landsat 7

<p><em>The existence of the coast in the northern part of Karawang Regency is very worrying. Seawater<strong> </strong>that was far up to tens of meters from the side of the road, is now on the lip of the road, even some parts of the road are cut off due to abrasion of seawater. Some villages were affected by abrasion erosion. One of the effects of damage due to abrasion and sedimentation is the occurrence of shoreline changes. This change in coastline will affect people's lives and spatial planning for the development of the area. For this reason, this study aims to determine the extent and rate of shoreline changes that occurred on the coast of Karawang Regency in the periods of 1989, 1995, 2001, 2005, 2009, 2016, and 2018. The shoreline data was obtained from the extraction of Landsat 3 MSS, Landsat 5 TM, Landsat 7 ETM +, and Landsat 8 </em><em>OLI</em>-<em>TIRS after the NDWI process was previously carried out. While the rate of change is calculated at 6 sample point locations scattered along the northern coast of Karawang Regency. The results showed that the largest area damaged by abrasion occurred in Sedari Village covering an area of 166.802 hectares, and the area formed by the largest sedimentation occurred in Muara Cilamaya Village at 276,318 hectares. Meanwhile, the fastest rate of shoreline change due to abrasion occurred in Sukajaya Village at 10 meters </em>/<em>year, while the slowest in Sedari Village at 3.77 meters / year. The fastest sedimentation process in Muara Cimalaya Village is 4.5 meters / year, while the late one in Tanjung Pakis Village is 3.09 meters / year.</em><em></em></p><p><strong><em>Keywords: </em></strong><em>Abra</em><em>sion, Accretion, Coastline Changes, Karawang</em><em></em></p>

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