Journal articles on the topic 'Shoreline'
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1
Kim, Han-Gyeol, Jong-Hwan Son, and Taejung Kim. "Geometric Correction for the Geostationary Ocean Color Imager from a Combination of Shoreline Matching and Frequency Matching." Sensors 18, no. 11 (October 23, 2018): 3599. http://dx.doi.org/10.3390/s18113599.
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Geometric correction is fundamental in producing high quality satellite data products. However, the geometric correction for ocean color sensors, e.g., Geostationary Ocean Color Imager (GOCI), is challenging because the traditional method based on ground control points (GCPs) cannot be applied when the shoreline is absent. In this study, we develop a hybrid geometric correction method, which applies shoreline matching and frequency matching on slots with shorelines and without shorelines, respectively. Frequency matching has been proposed to estimate the relative orientation between GOCI slots without a shoreline. In this paper, we extend our earlier research for absolute orientation and geometric correction by combining frequency matching results with shoreline matching ones. The proposed method consists of four parts: Initial sensor modeling of slots without shorelines, precise sensor modeling through shoreline matching, relative orientation modeling by frequency matching, and generation of geometric correction results using a combination of the two matching procedures. Initial sensor modeling uses the sensor model equation for GOCI and metadata in order to remove geometric distortion due to the Earth’s rotation and curvature in the slots without shorelines. Precise sensor modeling is performed with shoreline matching and random sample consensus (RANSAC) in the slots with shorelines. Frequency matching computes position shifts for slots without shorelines with respect to the precisely corrected slots with shorelines. GOCI Level 1B scenes are generated by combining the results from shoreline matching and frequency matching. We analyzed the accuracy of shoreline matching alone against that of the combination of shoreline matching and frequency matching. Both methods yielded a similar accuracy of 1.2 km, which supports the idea that frequency matching can replace traditional shoreline matching for slots without visible shorelines.
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Dobbs, Briana N., Michael I. Volk, and Nawari O. Nawari. "Living Shoreline Treatment Suitability Analysis: A Study on Coastal Protection Opportunities for Sarasota County." Journal of Sustainable Development 10, no. 1 (February 3, 2017): 55. http://dx.doi.org/10.5539/jsd.v10n1p55.
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Increases in the world population, sea level rise, and urbanization of coastal areas have put tremendous pressures on coastlines around the world. As a result, natural shoreline habitats are being replaced by seawalls and other hardened forms of coastal protection. Evidence shows that hardened shorelines can have a negative impact on the environment and surrounding habitat, leading to a loss of biodiversity and ecosystem services. This research aims to increase the different forms of coastal protection used throughout Sarasota County, Florida by conducting a geographic information system (GIS) suitability analysis for living shoreline treatment. Living shorelines or hybrid solutions are a more ecologically sustainable alternative to traditional forms of coastal protection, which use natural ecosystems or alternatively- structural organic and natural materials such as plantings, rocks, and oyster beds to stabilize shorelines and enhance shoreline habitat. The GIS model identifies coastlines that are 1) most suitable for living shoreline treatment, 2) most suitable for a hybrid solution, or 3) not suitable for living shorelines by analyzing the bathymetry, land use, land value, tree canopy, population, wave energy, shoreline sensitivity, and shoreline habitat. The suitability for living shoreline treatments was assessed independently for each parameter and assigned a value ranging from 0, areas that should consider using traditional methods of coastal protection to 3, shoreline segments most suitable for living shoreline treatment. The results from the individual analyses for each parameter were combined using a weighted overlay approach to determine general suitability for living shorelines within the study area. The result found that over 95% of the shoreline segments are potentially suitable for hybrid shoreline stabilization solutions.
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Walling, Katlin, Douglas Gaffney, and Moses Katkowski. "WAVE ATTENUATION AND SEDIMENT TRANSPORT MONITORING OF LIVING SHORELINES IN THE DELAWARE BAY, U.S." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 53. http://dx.doi.org/10.9753/icce.v36.sediment.53.
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Living shorelines are considered a more natural approach to shoreline stabilization for low-energy coastlines in contrast to traditional “hard†shoreline armoring methods (i.e. bulkheads). Living shorelines often vary by design and materials, which are optimized for site-specific coastal and environmental conditions, such as wave climate, tidal range, sunlight exposure, etc.; however, the core benefits of all engineered living shorelines are typically the same: reduce shoreline erosion; enhance marine, intertidal, or backshore habitat; and increase resiliency to storm surge and/or sea level rise. While the general benefits of living shorelines are well known, project-specific technical data (i.e. percent of wave energy attenuation, shoreline advancement rates) documenting the effectiveness of living shorelines is more sparse. Moreover, monitoring equipment and analysis techniques required to capture the fine-detailed technical data can prove to be cost and/or labor intensive.
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Choung, Yun-Jae, and Myung-Hee Jo. "Comparison between a Machine-Learning-Based Method and a Water-Index-Based Method for Shoreline Mapping Using a High-Resolution Satellite Image Acquired in Hwado Island, South Korea." Journal of Sensors 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8245204.
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Shoreline-mapping tasks using remotely sensed image sources were carried out using the machine learning techniques or using water indices derived from image sources. This research compared two different methods for mapping accurate shorelines using the high-resolution satellite image acquired in Hwado Island, South Korea. The first shoreline was generated using a water-index-based method proposed in previous research, and the second shoreline was generated using a machine-learning-based method proposed in this research. The statistical results showed that both shorelines had high accuracies in the well-identified coastal zones while the second shoreline had better accuracy than the first shoreline in the coastal zones with irregular shapes and the shaded areas not identified by the water-index-based method. Both shorelines, however, had low accuracies in the coastal zones with the shaded areas not identified by both methods.
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Song, Yuan, Yongming Shen, Ruofan Xie, and Jialin Li. "A DSAS-based study of central shoreline change in Jiangsu over 45 years." Anthropocene Coasts 4, no. 1 (January 1, 2021): 115–28. http://dx.doi.org/10.1139/anc-2020-0001.
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A large-scale sand ridge group is distributed in the central Jiangsu coastal area, and a deposition muddy sea bank was developed in the nearshore area. Quantitative monitoring of coastline changes is of great significance for tidal beach development and protection. The shorelines of the central coast of Jiangsu within six periods (1973–2018) were extracted in this study, and their length changes over the years were analyzed. The Digital Shoreline Analysis System (DSAS) was employed to generate a cross section perpendicular to the baseline and calculate the linear regression rate (LRR) of the shoreline, changes in end point rate (EPR), and net shoreline movement (NSM), based on which the shoreline change features were analyzed. The DSAS results indicated that the shorelines in the study area maintained fluctuating growth and presented a continuous advancing trend towards the sea. From the changes in shoreline evolution distance during 1973–2018, the advancing shorelines in the study area accounted for over 50% of the total shorelines and presented first rising and then declining trends with the period of 2003–2013 taken as the time boundary. The average shoreline change rate was 207 m/year, and the periods with the highest change degrees were 1983–1993 and 1993–2013. The shoreline change tended to be stable during 2013–2018, and only a few estuaries and ports underwent obvious erosion and sedimentation.
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Steedman, Robert J., Robert S. Kushneriuk, and Robert L. France. "Littoral water temperature response to experimental shoreline logging around small boreal forest lakes." Canadian Journal of Fisheries and Aquatic Sciences 58, no. 8 (August 1, 2001): 1638–47. http://dx.doi.org/10.1139/f01-103.
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Shoreline logging did not significantly increase average littoral water temperatures in two small boreal forest lakes in northwestern Ontario, Canada. However, over the early summer monitoring period clearcut shorelines were associated with increases of 12°C in maximum littoral water temperature, and increases of 0.30.6°C in average diurnal temperature range, compared with undisturbed shorelines or shorelines with 30-m shoreline buffer strips. Comparison of simultaneous water temperatures at littoral locations with and without shoreline forest showed that increased temperatures were caused by daytime heating.
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Ding, Yan, Ashley E. Frey, Sung-Chan Kim, and Rusty E. Permenter. "PROBABILISTIC SHORELINE CHANGE MODELING AND RISK ESTIMATION OF EROSION." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 1. http://dx.doi.org/10.9753/icce.v36.papers.1.
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Prediction of long-term shoreline changes is a key task in planning and management of coastal zones and regional sediment management. Due to complex natural features of offshore waves, sediments, and longshore sediment transport, quantifying uncertainties of shoreline evolution and risks of extreme shoreline changes (erosion and accretion) is of vital importance for practicing uncertainty- or risk-based design of shorelines. This paper presents probabilistic shoreline change modeling to quantify uncertainties of shoreline variations by using numerical-model-based Monte-Carlo simulations. A shoreline evolution model, GenCade, is used to simulate longshore sediment transport and shoreline changes induced by random waves from offshore. A probability density function with a modified tail distribution is developed to capture stochastic features of wave heights under fair weather and storm conditions. It produces a time series of wave heights including small and extreme waves based on their probabilities (or frequencies of appearance). Probabilistic modeling of shoreline change is demonstrated by computing spatiotemporal variations of statistical parameters such as mean and variance of shoreline changes along an idealized coast bounded by two groins. Maximum shoreline changes in return years with a confidence range are also estimated by using maximum likelihood method. Reasonable results of obtained probabilistic shoreline changes reveal that this model-based Monte-Carlo simulation and uncertainty estimation approach are applicable to facilitate risk/uncertainty-based design and planning of shorelines.
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Kornis, Matthew S., Donna M. Bilkovic, Lori A. Davias, Steve Giordano, and Denise L. Breitburg. "Shoreline Hardening Affects Nekton Biomass, Size Structure, and Taxonomic Diversity in Nearshore Waters, with Responses Mediated by Functional Species Groups." Estuaries and Coasts 41, S1 (April 24, 2017): 159–79. http://dx.doi.org/10.1007/s12237-017-0214-5.
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Abstract Coastal shoreline hardening is intensifying due to human population growth and sea level rise. Prior studies have emphasized shoreline-hardening effects on faunal abundance and diversity; few have examined effects on faunal biomass and size structure or described effects specific to different functional groups. We evaluated the biomass and size structure of mobile fish and crustacean assemblages within two nearshore zones (waters extending 3 and 16 m from shore) adjacent to natural (native wetland; beach) and hardened (bulkhead; riprap) shorelines. Within 3 m from shore, the total fish/crustacean biomass was greatest at hardened shorelines, driven by greater water depth that facilitated access to planktivore (e.g., bay anchovy) and benthivore-piscivore (e.g., white perch) species. Small-bodied littoral-demersal species (e.g., Fundulus spp.) had greatest biomass at wetlands. By contrast, total biomass was comparable among shoreline types within 16 m from shore, suggesting the effect of shoreline hardening on fish biomass is largely within extreme nearshore areas immediately at the land/water interface. Shoreline type utilization was mediated by body size across all functional groups: small individuals (≤60 mm) were most abundant at wetlands and beaches, while large individuals (>100 mm) were most abundant at hardened shorelines. Taxonomic diversity analysis indicated natural shoreline types had more diverse assemblages, especially within 3 m from shore, although relationships with shoreline type were weak and sensitive to the inclusion/exclusion of crustaceans. Our study illustrates how shoreline hardening effects on fish/crustacean assemblages are mediated by functional group, body size, and distance from shore, with important applications for management.
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Wang, Junbo, Lanying Wang, Shufang Feng, Benrong Peng, Lingfeng Huang, Sarah N. Fatholahi, Lisa Tang, and Jonathan Li. "An Overview of Shoreline Mapping by Using Airborne LiDAR." Remote Sensing 15, no. 1 (January 1, 2023): 253. http://dx.doi.org/10.3390/rs15010253.
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Since the shorelines are important geographical boundaries, monitoring shoreline change plays an important role in integrated coastal management. With the evolution of remote sensing technology, many studies have used optical images to measure and to extract shoreline. However, some factors limit the use of optical imaging on shoreline mapping. Considering that the airborne LiDAR data can provide more accurate topographical information, there are some studies that have been investigated using airborne LiDAR to map shorelines. However, a literature review that combines airborne LiDAR with shoreline measurement and extracting methods has not yet been conducted. The motivation of this paper is to present a narrative review of shoreline mapping by using airborne LiDAR, including a laser scanning system, data availability, and current extraction techniques over the past two decades. Therefore, we conducted a broad search and finally summarized more than 130 articles on airborne LiDAR technology for shoreline measurement and shoreline extraction. We find that shoreline mapping by using airborne LiDAR still meets the challenge, such as objective condition limitations, data availability limitations, and self-characteristic limitations. The current method of shoreline extraction has a great potential to be improved; particularly when combined with the emerging current state-of-the-art LiDAR point cloud processing techniques (e.g., deep-learning algorithms), they will have a brighter future. This review paper provides an overview and the current trend of shoreline mapping using airborne LiDAR, and points out the limitations, challenges, and future opportunities. Moreover, it also can serve as a starting point for novices and experts to study the shoreline mapping by using airborne LiDAR, which provides a scientific support for studying shoreline changes.
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Ezzeldin, Mohsen M., Osami S. Rageh, and Mahmoud E. Saad. "Assessment impact of the Damietta harbour (Egypt) and its deep navigation channel on adjacent shorelines." Revista de Gestão Costeira Integrada 20, no. 4 (December 2020): 265–81. http://dx.doi.org/10.5894/rgci-n338.
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Deep navigation channels have a great impact on adjacent beaches and crucial economic effects because of periodic dredging operations. The navigation channel of the Damietta harbour is considered a clear example of the sedimentation problem and deeply affects the Northeastern shoreline of the Nile Delta in Egypt. The aim of the present study is to monitor shoreline using remote sensing techniques to evaluate the effect of Damietta harbour and its navigation channel on the shoreline for the last 45 years. Also, the selected period was divided into two periods to illustrate the effect of man-made interventions on the shoreline. Shorelines were extracted from satellite images and then the Digital Shoreline Analysis System (DSAS) was used to estimate accurate rates of shoreline changes and predict future shorelines evolution of 2030, 2040, 2050 and 2060. The Damietta harbour created an accretion area in the western side with an average rate of 2.13 m yr-1. On the contrary, the shoreline in the eastern side of the harbour retreated by 92 m on average over the last 45 years. So, it is considered one of the main hazard areas along the Northeastern shoreline of the Nile Delta that needs a sustainable solution. Moreover, a detached breakwaters system is predicted to provide shore stabilization at the eastern side as the implemented one at Ras El-Bar beach. Predicted shoreline evolution of 2060 shows a significant retreat of 280.0 m on average.
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den Boer, Eva Louise, Suntoyo, and A. C. Oele. "Determination of shoreline change along the East-Java coast, using Digital Shoreline Analysis System." MATEC Web of Conferences 177 (2018): 01022. http://dx.doi.org/10.1051/matecconf/201817701022.
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This study focused on determining the shoreline change at the East-Java coast by comparing the shorelines between 2006 and 2015, using digital shoreline analysis system (DSAS) techniques to identify and measure erosion (shoreline retreat) and accretion (shoreline advance). Shoreline change rates are calculated according to Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR). Results present local variations in shoreline change distance as well as in shoreline change rates. The statistical methods showed similarities with the highest accretion distance of 991.57 meters in the region of Mulyorejo and highest erosion distance of 928.75 meters in Sidoarjo. The EPR shows a rate with a maximum of 169.98 m/year and a minimum of 3.428 m/year. As for the LRR a maximum of 189.58 m/year and a minimum of 5.467 m/year were conducted from calculations.
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Islam, Md Sariful, and Thomas W. Crawford. "Assessment of Spatio-Temporal Empirical Forecasting Performance of Future Shoreline Positions." Remote Sensing 14, no. 24 (December 16, 2022): 6364. http://dx.doi.org/10.3390/rs14246364.
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Coasts and coastlines in many parts of the world are highly dynamic in nature, where large changes in the shoreline position can occur due to natural and anthropogenic influences. The prediction of future shoreline positions is of great importance in the better planning and management of coastal areas. With an aim to assess the different methods of prediction, this study investigates the performance of future shoreline position predictions by quantifying how prediction performance varies depending on the time depths of input historical shoreline data and the time horizons of predicted shorelines. Multi-temporal Landsat imagery, from 1988 to 2021, was used to quantify the rates of shoreline movement for different time period. Predictions using the simple extrapolation of the end point rate (EPR), linear regression rate (LRR), weighted linear regression rate (WLR), and the Kalman filter method were used to predict future shoreline positions. Root mean square error (RMSE) was used to assess prediction accuracies. For time depth, our results revealed that the higher the number of shorelines used in calculating and predicting shoreline change rates the better predictive performance was yielded. For the time horizon, prediction accuracies were substantially higher for the immediate future years (138 m/year) compared to the more distant future (152 m/year). Our results also demonstrated that the forecast performance varied temporally and spatially by time period and region. Though the study area is located in coastal Bangladesh, this study has the potential for forecasting applications to other deltas and vulnerable shorelines globally.
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Howe, Julia, Paul Jewell, and Ronald Bruhn. "Late Pleistocene Record of Off‐Fault Deformation and Vertical Slip Rates from the Wasatch Fault Zone, Utah: Implications for Fault Segmentation from Lake Bonneville Shorelines." Bulletin of the Seismological Society of America 109, no. 6 (November 12, 2019): 2198–215. http://dx.doi.org/10.1785/0120190155.
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Abstract In an effort to better understand the Pleistocene history of the Wasatch fault zone, we evaluate the deformation and displacement of the Bonneville and Provo high‐stand shorelines of Lake Bonneville along the Wasatch Front. We apply an automated shoreline elevation measurement application developed as part of this study to measure Lake Bonneville shoreline elevations along the Weber and Brigham City segments of the fault, adding to a previously published dataset of shoreline elevations on the Salt Lake City segment. Tectonically deformed shorelines on the footwall of the fault demonstrate elevation patterns that are inconsistent with the idea that the Pleasant View salient, a bedrock salient marking the segment boundary between the Weber and Brigham City segments of the fault, is a persistent barrier to fault rupture since the late Pleistocene. Shoreline features are elevated ∼20 m across the segment boundary as compared to shoreline features on the northern part of the Brigham City segment. We suggest the possibility that fault rupture through the Pleasant View salient has been common since the late Pleistocene and speculate that a similar relationship could exist between the Provo and Salt Lake City segments, based on similarities between the shoreline elevation patterns on the Brigham City and Salt Lake City segments of the fault. Vertical slip rates measured from displaced shorelines at the Pleasant View salient (Brigham City–Weber segment boundary) are generally higher compared to those at the Honeyville spur (Collinston–Brigham City segment boundary). Statistically significant vertical slip rates calculated from the Provo shoreline at the Pleasant View salient (0.8±0.5 to 0.9±0.6 mm/yr and 0.7±0.5 to 0.9±0.6 mm/yr) suggest that late Pleistocene vertical slip rates are slightly lower than Holocene rates; however, large uncertainties in the shoreline elevation measurements exist.
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Al Farrizi, Abdurrahman, Ankiq Taofiqurohman, and Subiyanto Subiyanto. "Shoreline Change Analysis of Pontang Cape of Serang Regency of Banten Province." Omni-Akuatika 16, no. 2 (December 31, 2020): 90. http://dx.doi.org/10.20884/1.oa.2020.16.2.800.
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Coastal areas, being vulnerable to environmental problems, have one of the most frequent problems which are the change in the shorelines. Shoreline changes, namely abrasions, can cause problems such as land degradations or loss of land in a coastal zone. This problem occurs in many areas, one of which is Pontang Cape. This study aims to determine the distance and rate of shoreline changes that occured in the Cape and its surroundings, as well as explaining the analysis points based on similar studies that had been conducted. This research used ArcMap software and Digital Shoreline Analysis System (DSAS) toolset to determine the distance and rate of shoreline changes for 19 years (1999-2018). Based on the results, there were two shoreline segments where different phenomena of shoreline change took place, namely Banten Bay (accretion) and Pontang Cape-Lontar (abrasion). The most likely causes of changes in the shorelines are sediment runoffs from rivers that lead to bay and sediment transports that affect Banten Bay accretions, while sea sand mining and conversions of mangrove swamps into fishery ponds are factors affecting abrasions in Pontang Cape.Keywords: Abrasion, Accretion, Pontang Cape, Banten Bay, DSAS
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Smith, Kathryn E. L., Joseph F. Terrano, Jonathan L. Pitchford, and Michael J. Archer. "Coastal Wetland Shoreline Change Monitoring: A Comparison of Shorelines from High-Resolution WorldView Satellite Imagery, Aerial Imagery, and Field Surveys." Remote Sensing 13, no. 15 (August 2, 2021): 3030. http://dx.doi.org/10.3390/rs13153030.
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Shoreline change analysis is an important environmental monitoring tool for evaluating coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal wetlands where habitat loss is problematic world-wide. The increasing availability of high-resolution satellite imagery and emerging developments in analysis techniques support the implementation of these data into shoreline monitoring. Geospatial shoreline data created from a semi-automated methodology using WorldView (WV) satellite data between 2013 and 2020 were compared to contemporaneous field-surveyed Global Position System (GPS) data. WV-derived shorelines were found to have a mean difference of 2 ± 0.08 m of GPS data, but accuracy decreased at high-wave energy shorelines that were unvegetated, bordered by sandy beach or semi-submergent sand bars. Shoreline change rates calculated from WV imagery were comparable to those calculated from GPS surveys and geospatial data derived from aerial remote sensing but tended to overestimate shoreline erosion at highly erosive locations (greater than 2 m yr−1). High-resolution satellite imagery can increase the spatial scale-range of shoreline change monitoring, provide rapid response to estimate impacts of coastal erosion, and reduce cost of labor-intensive practices.
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Davenport, Theresa M., Rochelle D. Seitz, Kathleen E. Knick, and Nina Jackson. "Living Shorelines Support Nearshore Benthic Communities in Upper and Lower Chesapeake Bay." Estuaries and Coasts 41, S1 (December 27, 2017): 197–206. http://dx.doi.org/10.1007/s12237-017-0361-8.
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Abstract Human population growth and sea-level rise are increasing the demand for protection of coastal property against shoreline erosion. Living shorelines are designed to provide shoreline protection and are constructed or reinforced using natural elements. While living shorelines are gaining popularity with homeowners, their ability to provide ecological services (e.g., habitat provision and trophic transfer) is not well understood, and information is needed to improve coastal and resource management decision-making. We examined benthic community responses to living shorelines in two case-study subestuaries of Chesapeake Bay using a before-after control-impact study design. At Windy Hill, a bulkhead was removed and replaced by three tombolos, sand fill, and native marsh vegetation. At Lynnhaven, 25 m of eroding marsh shoreline was stabilized with coir logs, sand fill, and native marsh vegetation. Communities of large (> 3 mm) infauna adjacent to living shorelines at both locations tended to increase in biomass by the end of the study period. Community compositions changed significantly following living shoreline construction at Windy Hill, reflecting a trend toward higher density and biomass of large bivalves at living shorelines compared to pre-construction. Increasing trends in density and biomass of clams and simultaneously decreasing density and decreasing trends in biomass of polychaetes suggest a transition toward stable infaunal communities at living shorelines over time, though longer-term studies are warranted.
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Zonkouan, Badjo Ruth Virginia, Imane Bachri, Abaze Henri Joel Beda, and Kpangba Aristide Meniansou N'Guessan. "Monitoring Spatial and Temporal Scales of Shoreline Changes in Lahou-Kpanda (Southern Ivory Coast) Using Landsat Data Series (TM, ETM+ and OLI)." Geomatics and Environmental Engineering 16, no. 1 (December 3, 2021): 145–58. http://dx.doi.org/10.7494/geom.2022.16.1.145.
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Shoreline changes are crucial for assessing human-ecosystem interactions in coastal environments. They are a valuable tool for determining the environmental costs of socioeconomic growth along coasts. In this research, we present an assessment of shoreline changes along the eastern coast of Lahou-Kpanda of the Ivory Coast during the period from 1980 to 2020 by applying Digital Shoreline Analysis System method using Landsat Data Series. The measurement of the shoreline dynamics of the Lahou-Kpanda coastline is mainly described in three parts: the west straight cordon, the dynamics at the mouth and the east straight cordon. The findings show a drastic reduction in natural shorelines. The greatest transition occurred along the mouth segment of the coast, where the average erosive velocity approaches 90 meters each year and the average distance has decreased by around 2 kilometers. The Ivory Coast lost more than 40% of its biological shorelines between 1980 and 2020, according to this report, a worrying development because these are regions that were once biologically abundant and highly rich. In general, human operations on the Ivory Coast’s shorelines have never had such an impact. The effects of these changes on habitats, as well as the vulnerability of new shoreline investments to increased human activity and sea-level rise, must be measured.
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Prosser, Diann J., Jessica L. Nagel, Shay Howlin, Paul R. Marbán, Daniel D. Day, and R. Michael Erwin. "Effects of Local Shoreline and Subestuary Watershed Condition on Waterbird Community Integrity: Influences of Geospatial Scale and Season in the Chesapeake Bay." Estuaries and Coasts 41, S1 (July 26, 2017): 207–22. http://dx.doi.org/10.1007/s12237-017-0288-0.
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Abstract In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea level rise, storm surge, and erosion. This study examines waterbird community integrity in relation to shoreline hardening and land use characteristics at three geospatial scales: (1) the shoreline scale characterized by seven shoreline types: bulkhead, riprap, developed, natural marsh, Phragmites-dominated marsh, sandy beach, and forest; (2) the local subestuary landscape scale including land up to 500 m inland of the shoreline; and (3) the watershed scale >500 m from the shoreline. From 2010 to 2014, we conducted waterbird surveys along the shoreline and open water within 21 subestuaries throughout the Chesapeake Bay during two seasons to encompass post-breeding shorebirds and colonial waterbirds in late summer and migrating and wintering waterfowl in late fall. We employed an Index of Waterbird Community Integrity (IWCI) derived from mean abundance of individual waterbird species and scores of six key species attributes describing each species’ sensitivity to human disturbance, and then used this index to characterize communities in each subestuary and season. IWCI scores ranged from 14.3 to 19.7. Multivariate regression model selection showed that the local shoreline scale had the strongest influence on IWCI scores. At this scale, percent coverage of bulkhead and Phragmites along shorelines were the strongest predictors of IWCI, both with negative relationships. Recursive partitioning revealed that when subestuary shoreline coverage exceeded thresholds of approximately 5% Phragmites or 8% bulkhead, IWCI scores decreased. Our results indicate that development at the shoreline scale has an important effect on waterbird community integrity, and that shoreline hardening and invasive Phragmites each have a negative effect on waterbirds using subestuarine systems.
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Tian, Hongzhen, Kai Xu, Joaquim I. Goes, Qinping Liu, Helga do Rosario Gomes, and Mengmeng Yang. "Shoreline Changes Along the Coast of Mainland China—Time to Pause and Reflect?" ISPRS International Journal of Geo-Information 9, no. 10 (September 29, 2020): 572. http://dx.doi.org/10.3390/ijgi9100572.
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Shoreline changes are of great importance for evaluating the interaction between humans and ecosystems in coastal areas. They serve as a useful metric for assessing the ecological costs of socioeconomic developmental activities along the coast. In this paper, we present an assessment of shoreline changes along the eastern coast of mainland China from ~1990 to 2019 by applying a novel method recently developed by us. This method which we call the Nearest Distance Method (NDM) is used to make a detailed assessment of shorelines delineated from Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) images. The results indicate a dramatic decline in natural shorelines that correspond to the rapid increase in the construction of artificial shorelines, driven by China’s economic growth. Of the entire coast of mainland China, the biggest change occurred along the Bohai Sea, where artificial shorelines expanded from 42.4% in ~1990 to 81.5% in 2019. Over this period, this study indicates that China lost > 60% of its biological shorelines, a trend that is especially worrisome because these include areas that were once biologically diverse and extremely rich. As anticipated, shoreline losses were greatest where regions of low economic value had been transformed to areas of higher economic value. Overall, this influence of human activities on shorelines in China is unprecedented. The repercussions of these changes on ecosystems, and the susceptibility of new shoreline developments to population growth and sea-level rise, need to be assessed urgently before additional changes are effected.
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N. Apostolopoulos, Dionysios, and Konstantinos G. Nikolakopoulos. "Assessment and Quantification of the Accuracy of Low- and High-Resolution Remote Sensing Data for Shoreline Monitoring." ISPRS International Journal of Geo-Information 9, no. 6 (June 15, 2020): 391. http://dx.doi.org/10.3390/ijgi9060391.
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Τhe accuracy of low-resolution remote sensing data for monitoring shoreline evolution is the main issue that researchers have been trying to overcome in recent decades. The drawback of the Landsat satellite archive is its spatial resolution, which is appropriate only for low-scale mapping. The present study investigates the potentialities and limitations of remote sensing data and GIS techniques in shoreline evolution modeling, with a focus on two major aspects: (a) assessing and quantifying the accuracy of low- and high-resolution remote sensing data for shoreline mapping; and (b) calculating the divergence in the forecasting of coastline evolution based on low- and high-resolution datasets. Shorelines derived from diachronic Landsat images are compared with the corresponding shorelines derived from high-spatial-resolution airphotos or Worldview-2 images. The accuracy of each dataset is assessed, and the possibility of forecasting shoreline evolution is investigated. Two sandy beaches, named Kalamaki and Karnari, which are located in Northwestern Peloponnese, Greece, are used as test sites. It is proved that the shorelines derived from the Landsat data present a displacement error of between 6 and 11 m. The specific data are not suitable for the shoreline forecasting procedure and should not be used in related studies, as they yield less accurate results for the two study areas in comparison with the high-resolution data.
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Boswell, Maura, and Navid Tahvildari. "OPTIMIZING NATURE-BASED FEATURES FOR WAVE DISSIPATION AND LAND-WATER CONNECTIVITY." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 23. http://dx.doi.org/10.9753/icce.v36.risk.23.
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Living shorelines integrate structural and natural features to stabilize the shoreline, through reduction of erosion from the wave climate, while keeping the connectivity between land and aquatic ecosystems. This study includes field study for two different types of living shoreline systems to quantify and compare their wave dissipation services and provide physics-based guidance for the design of living shoreline systems that are efficient in wave dissipation yet maximize land-water connectivity.
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Houston, James. "SHORELINE RESPONSE TO FUTURE SEA LEVEL RISE." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 60. http://dx.doi.org/10.9753/icce.v36.sediment.60.
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Florida, United States, has shoreline change measurements starting in the 1800s with spacing of about every 300 m. In addition, due to extensive shoreline development and tourism, processes causing shoreline change have been studied extensively. The 1160-km east and 275-km southwest shorelines advanced seaward on average from the 1800s even before widespread beach nourishment and despite sea level rise. Shoreline advance despite sea level rise has been noted along other coasts such as the Netherlands central coast (Stive and de Vriend, 1995). In contrast, the 335-km Florida west coast retreated landward on average almost 30 m from 1867 to 2015.
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La Peyre, Megan K., Kayla Serra, T. Andrew Joyner, and Austin Humphries. "Assessing shoreline exposure and oyster habitat suitability maximizes potential success for sustainable shoreline protection using restored oyster reefs." PeerJ 3 (October 6, 2015): e1317. http://dx.doi.org/10.7717/peerj.1317.
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Oyster reefs provide valuable ecosystem services that contribute to coastal resilience. Unfortunately, many reefs have been degraded or removed completely, and there are increased efforts to restore oysters in many coastal areas. In particular, much attention has recently been given to the restoration of shellfish reefs along eroding shorelines to reduce erosion. Such fringing reef approaches, however, often lack empirical data to identify locations where reefs are most effective in reducing marsh erosion, or fully take into account habitat suitability. Using monitoring data from 5 separate fringing reef projects across coastal Louisiana, we quantify shoreline exposure (fetch + wind direction + wind speed) and reef impacts on shoreline retreat. Our results indicate that fringing oyster reefs have a higher impact on shoreline retreat at higher exposure shorelines. At higher exposures, fringing reefs reduced marsh edge erosion an average of 1.0 m y−1. Using these data, we identify ranges of shoreline exposure values where oyster reefs are most effective at reducing marsh edge erosion and apply this knowledge to a case study within one Louisiana estuary. In Breton Sound estuary, we calculate shoreline exposure at 500 random points and then overlay a habitat suitability index for oysters. This method and the resulting visualization show areas most likely to support sustainable oyster populations as well as significantly reduce shoreline erosion. Our results demonstrate how site selection criteria, which include shoreline exposure and habitat suitability, are critical to ensuring greater positive impacts and longevity of oyster reef restoration projects.
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Karrow, Paul F. "Algonquin-Nipissing Shorelines, North Bay, Ontario." Géographie physique et Quaternaire 58, no. 2-3 (July 18, 2006): 297–304. http://dx.doi.org/10.7202/013144ar.
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Abstract The general extent, outlet location at North Bay, and shoreline tilt pattern of glacial Lake Algonquin were established by Spencer, Gilbert, Taylor, and Goldthwait about a century ago. Chapman and Harrison in the mid 1900s identified several eastward outlets and suggested correlations to named water planes as retreating ice lowered Algonquin levels. The present work supplements the meagre available North Bay shoreline elevation data with about 30 new points. Probable Cedar Point, Payette, Sheguiandah, and Korah shorelines are identified; several lower levels have no known outlets. Algonquin shoreline tilts are about 1.4 metres per kilometre. Using Nipissing shoreline elevations for correlation, North Bay data are compared with Sudbury data, showing closely similar trends, but with offsets of Algonquin shorelines probably attributable to errors from 120‑kilometre-long projections and 5 000‑year changes in uplift pattern. Of 24 radiocarbon dates compiled from the literature, 16 are on gyttja. Some of these incorporate old carbon error and require further testing with dates on terrestrial plant macrofossils. Available data remain sparse and require more basic mapping to improve ice-margin/shoreline correlations near the outlet area.
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Afolabi, Matthew, and Stephen Darby. "Spatial and Temporal Variations in Shoreline Changes of the Niger Delta during 1986–2019." Coasts 2, no. 3 (July 13, 2022): 203–20. http://dx.doi.org/10.3390/coasts2030010.
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The purpose of this study was to analyse the shoreline movement of the Niger delta, specifically focusing on the spatial pattern of the delta’s shoreline behaviour during 1986–2019. We employed satellite data of medium spatial resolution (20–30 m) to delimit the delta shorelines representing specific time in order to determine the rates of the delta shoreline migration. Our results show that the delta shoreline has changed nearly in equal proportion between erosion (50.3%) and accretion (49.7%), at mean (maximum) rates of 3.9 m/yr. (26 m/yr.) of erosion, and 4.0 m/yr. (27 m/yr.) of accretion. Further analysis indicates that the highest shoreline migration is seaward (>200 m) though the ratio of the shoreline distance in recession (54%) exceeds that which is in accretion. Our analysis did not reveal any entrenched spatial pattern of shoreline behaviour but rather highlights a random occurrence of hotspots in both shoreline erosion and accretion over space and time. We have also showed that by applying the statistical mean-removed shoreline approach, the overall trend of a delta shoreline movement can be vividly discriminated. In conclusion, since the Niger delta shoreline dynamics is most intense at the delta river mouths, we suggest this is likely due to the interaction between waves and river discharge in these locations.
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Hovsepyan, Azatuhi, Garegin Tepanosyan, Vahagn Muradyan, Shushanik Asmaryan, Andrey Medvedev, and Alexander Koshkarev. "Lake Sevan Shoreline Change Assessment Using Multi-Temporal Landsat Images." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 12, no. 4 (December 31, 2019): 212–29. http://dx.doi.org/10.24057/2071-9388-2019-46.
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Shoreline changes are important indicators of natural and manmade impacts on inland waters and particularly lakes. Man-induced changes in Lake Sevan water level during the 20th century affected not only the ecological status of the Sevan water but also near-shore areas. This article considers a long-term study of changes in Lake Sevan shoreline that occurred between 1973 and 2015. The Normalized Difference Water Index (NDWI) was applied to delineate the Sevan shoreline changes according to periods of lake water fluctuation from multi-temporal Landsat images and Historical changes in shorelines were analyzed with help of the Digital Shoreline Analysis System (DSAS) toolbox. Data obtained from the analysis have indicated that changes in the lake shoreline that occurred in different periods are similar to those in the lake water balance. Areas with the greatest shoreline changes have comparatively flat relief, so in the result of the lake water level raise vast forested areas were submerged. This study shows that application of multi-temporal spatial imagery and GIS methods can provide valuable information on time-and-space changes in the Sevan shoreline. Such information is important for monitoring Lake Sevan shoreline and nearshore changes.
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Landry, J. Brooke, and Rebecca R. Golden. "In Situ Effects of Shoreline Type and Watershed Land Use on Submerged Aquatic Vegetation Habitat Quality in the Chesapeake and Mid-Atlantic Coastal Bays." Estuaries and Coasts 41, S1 (September 8, 2017): 101–13. http://dx.doi.org/10.1007/s12237-017-0316-0.
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Abstract Submerged aquatic vegetation (SAV) is an ecologically and economically valuable component of coastal estuaries that acts as an early indicator of both degrading and improving water quality. This study aimed to determine if shoreline hardening, which is associated with increased population pressure and climate change, acts to degrade SAV habitat quality at the local scale. In situ comparisons of SAV beds adjacent to both natural and hardened shorelines in 24 subestuaries throughout the Chesapeake and Mid-Atlantic Coastal Bays indicated that shoreline hardening does impact adjacent SAV beds. Species diversity, evenness, and percent cover were significantly reduced in the presence of riprap revetment. A post hoc analysis also confirmed that SAV is locally affected by watershed land use associated with increased population pressure, though to a lesser degree than impacts observed from shoreline armoring. When observed over time, SAV recovery at the local level took approximately 3 to 4 years following storm impacts, and SAV adjacent to natural shorelines showed more resilience to storms than SAV adjacent to armored shorelines. The negative impacts of shoreline hardening and watershed development on SAV shown here will inform coastal zone management decisions as increasing coastal populations and sea level rise drive these practices.
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Smith, David E., Peter T. Fretwell, Robin A. Cullingford, and Callum R. Firth. "Towards improved empirical isobase models of Holocene land uplift for mainland Scotland, UK." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 364, no. 1841 (February 23, 2006): 949–72. http://dx.doi.org/10.1098/rsta.2006.1748.
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A new approach to modelling patterns of glacio-isostatic land uplift during the Holocene in mainland Scotland, UK, is described. The approach is based upon altitude measurements at the inner margin or locally highest point of raised estuarine surfaces dated by radiocarbon assay supported by microfossil analyses. 2241 altitudes have been analysed by a technique new to studies of former sea-levels, Gaussian Trend Surface Analysis, and isobase models for four Holocene shorelines: the Holocene Storegga Slide tsunami shoreline, abandoned rapidly circa 7900 sidereal years BP; the Main Postglacial shoreline, abandoned during circa 6400–7700 sidereal years BP; the Blairdrummond shoreline, abandoned during circa 4500–5800 sidereal years BP, and a speculative fourth shoreline, the Wigtown shoreline, abandoned during circa 1520–3700 sidereal years BP, are shown in a series of maps. The implications of the shoreline patterns for glaicio-isostasy in the area are discussed. It is maintained that the statistical technique used enables broad estimates to be made of nearshore sea surface change.
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Song, Liu, Ling, and Yue. "Automatic Semi-Global Artificial Shoreline Subpixel Localization Algorithm for Landsat Imagery." Remote Sensing 11, no. 15 (July 29, 2019): 1779. http://dx.doi.org/10.3390/rs11151779.
Full textAbstract:
Shoreline mapping using satellite remote sensing images has the advantages of large-scale surveys and high efficiency. However, low spatial resolution, various geometric morphologies and complex offshore environments prevent accurate positioning of the shoreline. This article proposes a semi-global subpixel shoreline localization method that considers utilizing morphological control points to divide the initial artificial shoreline into segments of relatively simple morphology and analyzing the local intensity homogeneity to calculate the intensity integral error. Combined with the segmentation-merge-fitting method, the algorithm determines the subpixel location accurately. In experiments, we select five artificial shorelines with various geometric morphologies from Landsat 8 Operational Land Imager (OLI ) data. The five subpixel artificial shoreline RMSE results lie in the range of 3.02 m to 4.77 m, with line matching results varying from 2.51 m to 3.72 m. Thus, it can be concluded that the proposed subpixel localization algorithm is effective and applicable to artificial shoreline in various geometric morphologies and is robust to complex offshore environments, to some extent.
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Garcia-Rubio, Gabriela, David Huntley, and Paul Russsell. "ASSESSING SHORELINE CHANGE USING SATELLITE-DERIVED SHORELINES IN PROGRESO, YUCATÁN, MÉXICO." Coastal Engineering Proceedings 1, no. 33 (October 25, 2012): 79. http://dx.doi.org/10.9753/icce.v33.sediment.79.
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Assessment of shoreline change during a six-year period using Satellite-Derived Shorelines (SDS) was carried out in Progreso, Yucatán, México. Confidence bounds for the SDS were defined based on the deviation between quasi-simultaneous in situ shoreline measurements and SDS. The main objective of this paper is to show that optical satellite images are a valuable resource to study shoreline change covering large geographical scales (>10km), as well as short (5 years) temporal scales. This approach can be particularly useful for those areas with a lack of shoreline records. The results presented here show that detection of differences between seasons and years is achievable using SDS. Furthermore, rates of change are also possible to assess.
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Sanford, Lawrence P., and Jia Gao. "Influences of Wave Climate and Sea Level on Shoreline Erosion Rates in the Maryland Chesapeake Bay." Estuaries and Coasts 41, S1 (May 22, 2017): 19–37. http://dx.doi.org/10.1007/s12237-017-0257-7.
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Abstract We investigated spatial correlations between wave forcing, sea level fluctuations, and shoreline erosion in the Maryland Chesapeake Bay (CB), in an attempt to identify the most important relationships and their spatial patterns. We implemented the Simulating WAves Nearshore (SWAN) model and a parametric wave model from the USEPA Chesapeake Bay Program (CBP) to simulate wave climate in CB from 1985 to 2005. Calibrated sea level simulations from the CBP hydrodynamic model over the same time period were also acquired. The separate and joint statistics of waves and sea level were investigated for the entire CB. Spatial patterns of sea level during the high wave events most important for erosion were dominated by local north-south winds in the upper Bay and by remote coastal forcing in the lower Bay. We combined wave and sea level data sets with estimates of historical shoreline erosion rates and shoreline characteristics compiled by the State of Maryland at two different spatial resolutions to explore the factors affecting erosion. The results show that wave power is the most significant influence on erosion in the Maryland CB, but that many other local factors are also implicated. Marshy shorelines show a more homogeneous, approximately linear relationship between wave power and erosion rates, whereas bank shorelines are more complex. Marshy shorelines appear to erode faster than bank shorelines, for the same wave power and bank height. A new expression for the rate of shoreline erosion is proposed, building on previous work. The proposed new relationship expresses the mass rate of shoreline erosion as a locally linear function of the difference between applied wave power and a threshold wave power, multiplied by a structure function that depends on the ratio of water depth to bank height.
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Ribas, Francesca, Gonzalo Simarro, Jaime Arriaga, and Pau Luque. "Automatic Shoreline Detection from Video Images by Combining Information from Different Methods." Remote Sensing 12, no. 22 (November 12, 2020): 3717. http://dx.doi.org/10.3390/rs12223717.
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Properly registering the time evolution of the shoreline—the coastal land-water interface—is a crucial issue in coastal management, among other disciplines. Video stations have shown to be powerful low-cost tools for continuous monitoring of the coast in the last 30 years. Despite the efforts of the scientific community to get algorithms able to properly track the shoreline position from video images without human supervision, there is not yet an algorithm that can be recognized as fully satisfactory. The present work introduces a methodology to combine the results from different shoreline detection algorithms so as to obtain a smooth and very much improved result when compared to the actual shoreline. The output of the introduced methodology, which is fully automatic, includes not only the shorelines at all available times but also a measure of the quality of the obtained shoreline at each point (called self-computed error). The results from the studied beaches—located in the region of Barcelona city (Spanish Mediterranean coast)—show that such self-computed errors are in general good proxies of the actual errors. Using a certain threshold for the self-computed errors, the final computed shorelines have RMSE (Root Mean Squared Errors) that are in general smaller than 2.5 m in the great majority of analysed images, when compared to the manually digitized shorelines by three expert users. The global RMSE for all dates and beaches is of 1.8 m, with a mean bias <1 m and percentage of retrieval success >95% of the points.
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Balouskus, Richard G., and Timothy E. Targett. "Impact of Armored Shorelines on Shore-Zone Fish Density in a Mid-Atlantic, USA, Estuary: Modulation by Hypoxia and Temperature." Estuaries and Coasts 41, S1 (May 23, 2017): 144–58. http://dx.doi.org/10.1007/s12237-017-0258-6.
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Abstract Anthropogenic modifications of estuarine environments, including shoreline hardening and corresponding alteration of water quality, are accelerating worldwide as human population increases in coastal regions. Estuarine fish species inhabiting temperate ecosystems are adapted to extreme variations in environmental conditions including water temperature, salinity, and dissolved oxygen across seasonal, daily, and hourly time scales. The present research utilized quantitative sampling to examine the spatiotemporal distribution of shore-zone estuarine fish species in association with four unique shoreline types across a range of water temperature and dissolved oxygen conditions. Fish were collected from the intertidal and shallow subtidal region of four shoreline types, Spartina alterniflora marsh, Phragmites australis marsh, riprap, and bulkhead, in the summer and fall of 2009 and 2010. Analyses were performed to (1) compare mean fish density among shoreline types across all water conditions and (2) explore relationships of the complete fish assemblage, three functional species groupings, and two fish species (Fundulus heteroclitus and Menidia menidia) to unique shoreline/water conditions. Significantly greater mean fish densities were found along S. alterniflora shorelines than armored shorelines. Several metrics including fish density, species richness, and occurrence rates suggest S. alterniflora shorelines may serve as a form of refuge habitat during periods of low dissolved oxygen and high temperatures for various species, particularly littoral-demersal species including F. heteroclitus. Potential mechanisms that could contribute to a habitat providing refuge during adverse water quality conditions include tempering of the adverse condition (decreased temperatures, increased dissolved oxygen), predation protection, and increased foraging opportunities.
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Isdell, Robert E., Donna Marie Bilkovic, Amanda G. Guthrie, Molly M. Mitchell, Randolph M. Chambers, Matthias Leu, and Carl Hershner. "Living shorelines achieve functional equivalence to natural fringe marshes across multiple ecological metrics." PeerJ 9 (August 13, 2021): e11815. http://dx.doi.org/10.7717/peerj.11815.
Full textAbstract:
Nature-based shoreline protection provides a welcome class of adaptations to promote ecological resilience in the face of climate change. Along coastlines, living shorelines are among the preferred adaptation strategies to both reduce erosion and provide ecological functions. As an alternative to shoreline armoring, living shorelines are viewed favorably among coastal managers and some private property owners, but they have yet to undergo a thorough examination of how their levels of ecosystem functions compare to their closest natural counterpart: fringing marshes. Here, we provide a synthesis of results from a multi-year, large-spatial-scale study in which we compared numerous ecological metrics (including habitat provision for fish, invertebrates, diamondback terrapin, and birds, nutrient and carbon storage, and plant productivity) measured in thirteen pairs of living shorelines and natural fringing marshes throughout coastal Virginia, USA. Living shorelines were composed of marshes created by bank grading, placement of sand fill for proper elevations, and planting of S. alterniflora and S. patens, as well as placement of a stone sill seaward and parallel to the marsh to serve as a wave break. Overall, we found that living shorelines were functionally equivalent to natural marshes in nearly all measured aspects, except for a lag in soil composition due to construction of living shoreline marshes with clean, low-organic sands. These data support the prioritization of living shorelines as a coastal adaptation strategy.
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Agarwal, Arpit, Josh Carter, Matt Campbell, and Hugo Bermudez. "DEVELOPMENT OF DYNAMIC SEDIMENT BUDGET TO PREDICT FUTURE SHORELINE POSITIONS ON A SAND LIMITED SHORELINE IN LOUISIANA." Coastal Engineering Proceedings 1, no. 33 (December 15, 2012): 104. http://dx.doi.org/10.9753/icce.v33.sediment.104.
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A shoreline change analysis was performed along the shoreline of the chenier plain in southwestern Louisiana in an attempt to forecast future shoreline position and to determine the performance of a proposed sand beach nourishment project along the shoreline which extends 14 km west of the western jetty of Calcasieu Pass, Louisiana and runs through the community of Holly Beach, Louisiana. Observations of shoreline morphology revealed a solitary sediment wave traversing the project site from east to west since the 1960’s. The genesis of the sediment wave is unknown and is unexplored in this work. The presence of the sediment wave masked the long-term shoreline change rates along the project site and therefore biased the predictions of future shoreline positions due to the transient nature of the sediment wave morphology. Standard coastal engineering methods used to predict future shoreline positions include simple translation of the shoreline based on measured shoreline change rates (referred to herein as historical linear progression or HLP) and one-line numerical models. For the project site, due to the presence of this sediment wave the HLP approach to predict future shoreline positions is not applicable. One-line shoreline morphology models such as the US Army Corps of Engineer's GENESIS model require the assumption that the beach profile can be represented by an equilibrium beach profile which was developed for sand rich shorelines. The project site profile composition of a sandy veneer extending to a depth of approximately -1.2 to -2 m over a muddy bottom violates this assumption, and therefore the traditional one-line model cannot be applied. Therefore, a dynamic sediment budget (DSB) method was developed to predict future shoreline positions based on available historical data, longshore transport rates, known morphological processes, statistical estimates of storm events, beach nourishment diffusion, and a relationship between volume change and shoreline change based on existing profile composition. This method was validated with existing data and was able to predict 20 years of morphology within ±15 m of measured shoreline positions.
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Gonçalves, G., N. Duro, E. Sousa, and I. Figueiredo. "AUTOMATIC EXTRACTION OF TIDE-COORDINATED SHORELINE USING OPEN SOURCE SOFTWARE AND LANDSAT IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 30, 2015): 953–57. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-953-2015.
Full textAbstract:
Due to both natural and anthropogenic causes, the coastal lines keeps changing dynamically and continuously their shape, position and extend over time. In this paper we propose an approach to derive a tide-coordinate shoreline from two extracted instantaneous shorelines corresponding to a nearly low tide and high tide events. First, all the multispectral images are panshaperned to meet the 15 meters spatial resolution of the panchromatic images. Second, by using the Modification of Normalized Difference Water Index (MNDWI) and the kmeans clustering method we extract the raster shoreline for each image acquisition time. Third, each raster shoreline is smoothed and vectorized using a penalized least square method. Fourth, a 2D constrained Delaunay triangulation is built from the two extracted instantaneous shorelines with their respective heights interpolated from a Tidal gauche station. Finally, the desired tide-coordinate shoreline is interpolated from the previous triangular intertidal surface. The results show that an automatic tide-coordinated extraction method can be efficiently implemented using free available remote sensing imagery data (Landsat 8) and open source software (QGIS and Orfeo toolbox) and python scripting for task automation and software integration.
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Wicaksono, Arief, Pramaditya Wicaksono, Nurul Khakhim, Nur Mohammad Farda, and Muh Aris Marfai. "Tidal Correction Effects Analysis on Shoreline Mapping in Jepara Regency." Journal of Applied Geospatial Information 2, no. 2 (December 18, 2018): 145–51. http://dx.doi.org/10.30871/jagi.v2i2.981.
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The existence of high-spatial resolution imagery that are now available free by Planet Labs opens up opportunities in detailed scale mapping research, both as basic data and as reference data for geometry accuracy assessment. However, the use of several satellite sensors types with different recording times is the biggest obstacle in the use of high spatial resolution imagery as reference data because the shoreline instantaneous imaging at the data acquisition time does not consider the spatial and temporal variability of the shoreline boundaries. The purpose of this study was to analyze the effect of tidal correction on shoreline mapping in Jepara Regency using Landsat 8 OLI imagery in 2018.The effect of tidal correction analysis is done by comparing the position of the shoreline corrected by tides with the shoreline that is not corrected for tides. The influence of tidal correction is marked by differences in the position of the two shorelines. Shoreline shift calculation when there is a difference in tidal conditions between the test shoreline and the reference shoreline is carried out using the theory of right triangle (also called as one-line shift method).Based on the analysis of tidal correction effects, it is known that the shift in shoreline position after tidal correction varies from 0.21 m to 1.8 m, the value does not exceed one pixel of the PlanetScope image (3 m) so that tidal correction does not needs to be done because the effect is insignificant and undetectable on PlanetScope imagery.
Keywords: tidal correction, shoreline, Planetscope, Landsat 8 OLI, Jepara
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El-Gamal, Ayman A., Sherif H. Balbaa, Mohamed A. Rashed, and Ahmed S. Mansour. "Three Decades Monitoring of Shoreline Change Pattern of Damietta Promontory, Nile Delta, Egypt." Aquatic Science and Technology 8, no. 2 (May 25, 2020): 1. http://dx.doi.org/10.5296/ast.v8i2.17087.
Full textAbstract:
The Nile Delta is located on the Egyptian Mediterranean coast extending along nearly 240 km from the east of Alexandria to Port Said. The coastal area of the Nile Delta Promontories has been suffering extensive erosion problem. This was achieved after the construction of many water regulation structures in Nile River as dams and barrages, particularly the Aswan High Dam. It has nearly stopped the sediment flux carried by the Nile River to the Delta. This process has caused the Mediterranean Sea to reshape the Nile Delta coastal area. In order to cease these problems several engineering hard structures have been built. These structures avoided in ceasing the problem in the site of construction but shifted the erosion problem to the adjacent sites. This study aimed to analyze the shoreline change pattern on the term of three decades during the period between 1985 to 2015 at the coastal strip of Damietta Promontory and the impact of these protective structures on the coastal area. This was accomplished by the automated delineation of the successive shorelines covering this period using remote sensing imagery. The shorelines were extracted using the MNDWI index. The extracted shorelines were manipulated through the Digital Shoreline Analysis System (DSAS) software. The shoreline change rates were compared with sediments grain size for the past thirty years, heavy minerals content and radioactivity of recent marine sediment samples collected from different locations of marine profiles over the study area. The study revealed that Damietta Promontory has suffered from erosion during the study period reached its maximum shoreline retreat at the eastern side, nearly – 43 m/y. The total cumulative shoreline regression during the study period at this area was 1311m. The relation between the shoreline change process (erosion or accretion) and the physical parameters of coastal sediment showed that; as erosion increases, the heavy minerals content and radioactivity increases, while the mean grain size decreases and vice versa.
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Adebisi, Naheem, Abdul-Lateef Balogun, Masoud Mahdianpari, and Teh Hee Min. "Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites." Remote Sensing 13, no. 18 (September 9, 2021): 3587. http://dx.doi.org/10.3390/rs13183587.
Full textAbstract:
Rising sea level is generally assumed and widely reported to be the significant driver of coastal erosion of most low-lying sandy beaches globally. However, there is limited data-driven evidence of this relationship due to the challenges in quantifying shoreline dynamics at the same temporal scale as sea-level records. Using a Google Earth Engine (GEE)-enabled Python toolkit, this study conducted shoreline dynamic analysis using high-frequency data sampling to analyze the impact of sea-level rise on the Malaysian coastline between 1993 and 2019. Instantaneous shorelines were extracted from a test site on Teluk Nipah Island and 21 tide gauge sites from the combined Landsat 5–8 and Sentinel 2 images using an automated shoreline-detection method, which was based on supervised image classification and sub-pixel border segmentation. The results indicated that rising sea level is contributing to shoreline erosion in the study area, but is not the only driver of shoreline displacement. The impacts of high population density, anthropogenic activities, and longshore sediment transportation on shoreline displacement were observed in some of the beaches. The conclusions of this study highlight that the synergistic use of multi-sensor remote-sensing data improves temporal resolution of shoreline detection, removes short-term variability, and reduces uncertainties in satellite-derived shoreline analysis compared to the low-frequency sampling approach.
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Isla, Manuel F., Ernesto Schwarz, and Gonzalo D. Veiga. "Record of a nonbarred clastic shoreline." Geology 48, no. 4 (January 31, 2020): 338–42. http://dx.doi.org/10.1130/g46800.1.
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Abstract The morphology of wave-dominated clastic shorelines (i.e., foreshore and upper-shoreface sediments) can vary from barred to nonbarred, though the ancient record of nonbarred, sand-dominated shorelines has yet to be recognized. Here, a facies and quantitative architectural analysis of a clastic succession characterized by sandy inclined beds is presented and interpreted as the record of a high-gradient, nonbarred shoreline. Inclined beds dip seaward, have a tangential geometry (<3 m height, <40 m length, <11° dip), and are composed of planar lamination along the foresets and subordinate small-scale trough cross-bedding in the bottomsets. This facies distribution reflects a steep beach profile with a narrow surf zone and the development of plane beds both in foreshore and proximal upper-shoreface settings. Successive packages of inclined beds (a few tens of meters wide) are interpreted as the seaward accretion of this shoreline morphology, producing distinctive architectural elements (foresets and bottomsets). For the first time, we propose diagnostic criteria for identification in the rock record of the widely used modern nonbarred clastic shoreline model, and we contrast them with classical facies models of barred systems. Moreover, we discuss similarities and differences with radar-based Holocene coastal architectural elements, highlighting the need to incorporate detailed two-dimensional quantitative studies for refining the reconstruction of deep-time and recent clastic shorelines.
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Chang, Jin, Jeong, Kim, and Do. "Video Monitoring of Shoreline Positions in Hujeong Beach, Korea." Applied Sciences 9, no. 23 (November 20, 2019): 4984. http://dx.doi.org/10.3390/app9234984.
Full textAbstract:
Shoreline processes observed by a video monitoring system were investigated under different wave conditions. A 30 m-high tower equipped with video cameras was constructed in Hujeong Beach, South Korea, where coastal erosion was suspected to occur. Two-year shoreline data since December 2016 showed that beach area, Ab, has decreased, but periods of rapid increase in Ab were also observed. Shoreline change was closely related to the wave propagation directions and bottom topography. Ab increased when waves approached the shore obliquely, whereas it decreased when they approached in a normal direction. The shoreline became undulated when Ab increased, while it became flatter when Ab decreased. The undulation process was influenced by nearshore bedforms because the shoreline protruded in the lee area where underwater rocks or nearshore sandbars actively developed, with a sheltering effect on waves. Specifically, the locations of shoreline accretion corresponded to the locations where the sandbar horns (location where a crescentic sandbar protrudes toward the shore) developed, confirming the out-of-phase coupling between sandbars and shoreline. When waves with higher energy approached normal to the shore, the sheltering effect of sandbars and underwater rocks became weaker and offshore sediment transport occurred uniformly along the coast, resulting in flatter shorelines.
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Kostecki, Robert. "Application of the Spatial Database for Shoreline Change Analysis and Visualisation: Example from the Western Polish Coast, Southern Baltic Sea." Quaestiones Geographicae 37, no. 3 (September 6, 2018): 25–34. http://dx.doi.org/10.2478/quageo-2018-0023.
Full textAbstract:
Abstract The main aim of the study was to introduce a spatial database application for the estimation of changes in shoreline position. The open-source PostgreSQL database system with the PostGIS spatial extension was used as the data store for digitalised shorelines. The solution to calculations of the shoreline changes was based on the functions written in the PL/SQL language and geospatial functions provided by the PostGIS extension. The traditional baseline and transects method was used to quantify the distances and rate of shoreline movement. Outputs of the calculations were stored in the database table and simply visualised using graphical functions in the R software environment or in GIS Desktop software. The advantage of presented method is the application of SQL language in the analysis of the relation between the geometry of shorelines stored in the database table, which, compared to other similar solutions, gives the user fully open, simple analytical code and enable selecting custom parameters of analysis, modifying code and performing additional calculations.
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Wang, Haobin, Dandan Xu, Dong Zhang, Yihan Pu, and Zhaoqing Luan. "Shoreline Dynamics of Chongming Island and Driving Factor Analysis Based on Landsat Images." Remote Sensing 14, no. 14 (July 8, 2022): 3305. http://dx.doi.org/10.3390/rs14143305.
Full textAbstract:
Chongming Island, the third largest island in China, has experienced dramatic shoreline changes due to erosion, river deposits, and human activities. While previous studies have shown the capacity of Landsat series images to extract shoreline dynamics, the spatial variation of shoreline dynamics and their corresponding driving factors remain unclear. Therefore, we established a method to monitor the shoreline dynamics of Chongming Island from 1984 to 2020 and to evaluate the driving factors of shoreline changes using a novel approach to Landsat image analysis. The method, based on the LISA (local indicator of spatial autocorrelation) concept, automatically extracted the shoreline from Landsat imagery. The results show that the LISA method, based on the SWIR1 band, has a high capacity for shoreline extraction in Chongming Island. By distinguishing the responses of the eastern and northern shorelines to upstream sediment loads and comprehensively analyzing the driving factors of eastern and northern dynamics, we found that: (i) although upstream sediment loads decreased dramatically, the shoreline of Chongming Island is still expanding due to human activities (i.e., reclamation and an estuary project) and sediment re-suspension from near-shore or cross-shore currents; (ii) the expansion of Chongming Island was initially due to the dynamics at the eastern shoreline, but the expansion of the eastern shoreline slowed after 2008 as upstream sedimentation slowed, less construction of cofferdams took place, and the Qingcaosha Reservoir was constructed; (iii) the northern shoreline of Chongming Island expanded rapidly after 1999, due to the merger of Xinlongsha, Xincunsha, and Chongming Island, and the transport of coastal and offshore sediments by hydrodynamic processes; and (iv) the main driving factors of eastern shoreline movement on Chongming Island are cofferdam reclamation and coastal engineering, and the changes at the northern shoreline are mainly affected by reclamation projects, offshore sediment supplies, and upstream sediment inflow. The results of this study provide theoretical fundamentals for land reclamation and future urban planning for Chongming Island.
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Bui, Vinh Trong, and Hoang Minh Ly. "Detection of shoreline changes: a geospatial data analysis in Vung Tau City, Southern Vietnam." Science and Technology Development Journal 19, no. 1 (March 31, 2016): 131–39. http://dx.doi.org/10.32508/stdj.v19i1.567.
Full textAbstract:
In recent years, beach and shoreline erosion has occurred increasingly around the world. Because of climate change and human activities, many beaches and shorelines have been eroded severely in Vietnam, especially in Vung Tau City. In order to understand and explain the reasons why Vung Tau beaches have been eroded, the author applied the Geographic Information System (GIS) and Remote Sensing (RS) to analyze the movement of beach in the past and present. The results showed that Vung Tau city has witnessed a massive shoreline replacement including severe erosion and gradual accretionsince 1989. CuaLap river mouth features all-time biggest changes with more than 800 meter of retreating shoreline.
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Lazarus, Eli D., Mitchell D. Harley, Chris E. Blenkinsopp, and Ian L. Turner. "Environmental signal shredding on sandy coastlines." Earth Surface Dynamics 7, no. 1 (January 18, 2019): 77–86. http://dx.doi.org/10.5194/esurf-7-77-2019.
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Abstract. How storm events contribute to long-term shoreline change over decades to centuries remains an open question in coastal research. Sand and gravel coasts exhibit remarkable resilience to event-driven disturbances, and, in settings where sea level is rising, shorelines retain almost no detailed information about their own past positions. Here, we use a high-frequency, multi-decadal observational record of shoreline position to demonstrate quantitative indications of morphodynamic turbulence – “signal shredding” – in a sandy beach system. We find that, much as in other dynamic sedimentary systems, processes of sediment transport that affect shoreline position at relatively short timescales may obscure or erase evidence of external forcing. This suggests that the physical effects of annual (or intra-annual) forcing events, including major storms, may convey less about the dynamics of long-term shoreline change – and vice versa – than coastal researchers might wish.
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Fuse, Takashi, and Takashi Ohkura. "Development of Shoreline Extraction Method Based on Spatial Pattern Analysis of Satellite SAR Images." Remote Sensing 10, no. 9 (August 27, 2018): 1361. http://dx.doi.org/10.3390/rs10091361.
Full textAbstract:
The extensive monitoring of shorelines is becoming important for investigating the impact of coastal erosion. Satellite synthetic aperture radar (SAR) images can cover wide areas independently of weather or time. The recent development of high-resolution satellite SAR images has made observations more detailed. Shoreline extraction using high-resolution images, however, is challenging because of the influence of speckle, crest lines, patterns in sandy beaches, etc. We develop a shoreline extraction method based on the spatial pattern analysis of satellite SAR images. The proposed method consists of image decomposition, smoothing, sea and land area segmentation, and shoreline refinement. The image decomposition step, in which the image is decomposed into its texture and outline components, is based on morphological component analysis. In the image decomposition step, a learning process involving spatial patterns is introduced. The outline images are smoothed using a non-local means filter, and then the images are segmented into sea and land areas using the graph cuts’ technique. The boundary between these two areas can be regarded as the shoreline. Finally, the snakes algorithm is applied to refine the position accuracy. The proposed method is applied to the satellite SAR images of coasts in Japan. The method can successfully extract the shorelines. Through experiments, the performance of the proposed method is confirmed.
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Demir, N., S. Oy, F. Erdem, D. Z. Şeker, and B. Bayram. "INTEGRATED SHORELINE EXTRACTION APPROACH WITH USE OF RASAT MS AND SENTINEL-1A SAR IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (September 14, 2017): 445–49. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-445-2017.
Full textAbstract:
Shorelines are complex ecosystems and highly important socio-economic environments. They may change rapidly due to both natural and human-induced effects. Determination of movements along the shoreline and monitoring of the changes are essential for coastline management, modeling of sediment transportation and decision support systems. Remote sensing provides an opportunity to obtain rapid, up-to-date and reliable information for monitoring of shoreline. In this study, approximately 120&thinsp;km of Antalya-Kemer shoreline which is under the threat of erosion, deposition, increasing of inhabitants and urbanization and touristic hotels, has been selected as the study area. In the study, RASAT pansharpened and SENTINEL-1A SAR images have been used to implement proposed shoreline extraction methods. The main motivation of this study is to combine the land/water body segmentation results of both RASAT MS and SENTINEL-1A SAR images to improve the quality of the results. The initial land/water body segmentation has been obtained using RASAT image by means of Random Forest classification method. This result has been used as training data set to define fuzzy parameters for shoreline extraction from SENTINEL-1A SAR image. Obtained results have been compared with the manually digitized shoreline. The accuracy assessment has been performed by calculating perpendicular distances between reference data and extracted shoreline by proposed method. As a result, the mean difference has been calculated around 1 pixel.
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Boutet, Lennie, Sonia Laforest, Patrick Lambert, John Harper, and Gary Sergy. "Mapping the penetration and retention potential of two weathered diluted bitumen crude oils for the shorelines of Northern British Columbia, Canada." International Oil Spill Conference Proceedings 2017, no. 1 (May 1, 2017): 2017208. http://dx.doi.org/10.7901/2169-3358-2017.1.000208.
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With the increase in bitumen production from Alberta's oil sands, there is a related increase in the transport of non-conventional crude oil throughout Canada including proposed pipeline projects to move diluted bitumen (dilbit) to facilities on the East and West coast of Canada. While the behaviour of conventional oil is well known, little information is available about the fate of any potential dilbit spills on marine shorelines. As a part of Enhancing Marine Safety Strategy launched in 2013 by the Government of Canada, a R&D program has been developed by the Emergencies Sciences and Technology Section (ESTS) from Environment and Climate Change Canada (ECCC) to study the behaviour of non-conventional oil. More precisely, one of the objectives is to develop tools to help oil spill responders to predict the fate of dilbit on shorelines of Northern British Columbia (BC). To address this objective, we collected data from three sources; BC segmentation of the upper intertidal zone for the Douglas Channel and Haida Gwaii Island, particle size analysis results of sediment samples collected directly from Northern BC shoreline and meso-scale laboratory research results on the penetration and retention of dilbit in different type of sediment. This last experiment was conducted in laboratory by the contractor Coastal and Ocean Resources Inc. to estimate penetration (cm) and retention (% of the loading) of different weather dilbit (AWB [18% loss by weights] and CLB [15% loss by weight]) in different types of sediments (from coarse sand to very large pebble). These previous data were combined to associate each shoreline type with dilbit penetration and retention data. For each shoreline type, we did a quantitative (penetration) and qualitative (retention) estimation of dilbit properties. The estimations were also visually represented on ArcMap 9.1. In Northern British Columbia, most of the shoreline is associated with low penetration and low retention corresponding to bedrock substrate. Conversely, high penetration and retention is mainly associated with coarse sediments like pebble/cobble beaches. These shoreline types represent an indicator of difficulty of cleanup operations. Likewise, high retention can be found in coarse sediments but also in sensitive shorelines like marshes. So these maps can be used as an operational tool to establish the priorities and to determine the best strategy for the shoreline cleanup methods (penetration maps), but also as an indicator of shoreline sensitivity (retention maps).
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Crosby, Clara, John Bauer, and Dale Gardner. "THE ALASKA SHORELINE CLEANUP GUIDANCE AND STANDARDS MANUAL." International Oil Spill Conference Proceedings 2008, no. 1 (May 1, 2008): 1209–13. http://dx.doi.org/10.7901/2169-3358-2008-1-1209.
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ABSTRACT The Alaska Department of Environmental Conservation (ADEC) Spill Prevention and Response Division is compiling a Shoreline Cleanup Guidance and Standards Manual that captures statewide standards for oil-impacted shoreline cleanup and the lessons learned from previous spill response efforts, including the MIV Selendang AYU (2004), the M/V Kuroshima (1997), and the T/V Exxon Valdez (1989) oil spills. Important elements of the manual include the capture of cleanup endpoint criteria and prescribed controls required for specific techniques. The criteria and controls have been developed as a result of experience from previous oil spill cleanups. The criteria, reviewed and approved by State resources agency representatives from the Alaska Departments of Environmental Conservation, Fish and Game, and Natural Resources, now sets the statewide standard for shoreline cleanup of persistent oiling. The manual presents not only the State of Alaska'S shoreline endpoint standards but also the State'S requirements, policies, and expectations for cleanup of oil-impacted shorelines, including: the cleanup approval process; prescribed controls required for specific techniques; and the identification of current, ‘alternative’, or chemical shoreline treatment techniques that may be considered during shoreline cleanup operations. The manual describes many common shoreline cleanup techniques and outlines “best-use” practices, but does not identify new techniques or technologies. Conditions specific to Alaska are summarized, including primary shoreline types and primary oil types that are transported in bulk or most likely to be of concern. In most instances, the primary users will be incident management teams facilitating development of incident-specific shoreline cleanup plans. The manual will also serve ADEC staff, Responsible Parties, State and federal trustee agencies, and land managers.
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Yulfa, Arie, Deded Chandra, Risky Ramadhan, and Adek Andreas. "GEOVISUALIZATION FOR INFORMATION EXTRACTION OF SHORELINE CHANGES IN PADANG CITY 2000–2020." Geodesy and cartography 48, no. 2 (June 28, 2022): 78–84. http://dx.doi.org/10.3846/gac.2022.14212.
Full textAbstract:
This study aims to create a system model that implements the concept of Geovisualization on shoreline changes in Padang city. This implementation is to make it easier to identify shoreline changes. The method used to detect changes is by interpreting satellite imagery with the Modified Normalized Difference Water Index (MNDWI) approach and the Digital Shoreline Analysis System (DSAS). The imagery used is Landsat 7 and Landsat 8 from 2000 to 2020. The model is designed with a Software Development Life Cycle (SDLC) approach. The results obtained are in the form of twenty shorelines per year as well as the amount of abrasion and accretion values from the interpretation. These results are visualized on an online-based map system that allows users to explore, synthesize, present and analyze the interpretation data. In conclusion, the Geovisualization system model is able to make serial data imagery presented dynamically to facilitate identification of shoreline changes.