Relevant bibliographies by topics / Shoreline

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Shoreline'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Shoreline"

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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
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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)
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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 leve
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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
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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 s
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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 1–2°C in maximum littoral water temperature, and increases of 0.3–0.6°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 b
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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 sho
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Sullivan, Ryan. "Variations in shoreline vegetation and turbidity of shallow lakes by Ryan D. Sullivan, La Toya Kissoon, Donna Jacob, Mark Hanson, Emily K Fischbach, and Marinus Otte." WETLAND SCIENCE AND PRACTICE 31, no. 1 (March 2014): 19–32. http://dx.doi.org/10.1672/ucrt083-296.

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shoreline vegetation provides vital ecological services and can impact water quality of shallow lakes. We determined the area and composition of shoreline vegetation for 20 shallow lakes of varying turbidities in the Prairie Parkland Province of Minnesota. We examined differences in shoreline vegetation between clear and turbid lakes and identified relationships between shoreline vegetation and several lake environmental variables (lake depth, submerged vegetation cover, turbidity, chlorophyll-a, total phosphorus, Ca+Mg, conductivity, and pH). In contrast to turbid lakes, the clear lakes had g
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Sullivan, Ryan. "Variations in shoreline vegetation and turbidity of shallow lakes by Ryan D. Sullivan, La Toya Kissoon, Donna Jacob, Mark Hanson, Emily K Fischbach, and Marinus Otte." WETLAND SCIENCE AND PRACTICE 31, no. 1 (March 2014): 19–32. http://dx.doi.org/10.1672/ucrt083-298.

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Shoreline vegetation provides vital ecological services and can impact water quality of shallow lakes. We determined the area and composition of shoreline vegetation for 20 shallow lakes of varying turbidities in the Prairie Parkland Province of Minnesota. We examined differences in shoreline vegetation between clear and turbid lakes and identified relationships between shoreline vegetation and several lake environmental variables (lake depth, submerged vegetation cover, turbidity, chlorophyll-a, total phosphorus, Ca+Mg, conductivity, and pH). In contrast to turbid lakes, the clear lakes had g
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Mwakumanya, M. A. "Beach Erosion Hazard Vulnerability Assessment of Bamburi Beach in Mombasa, Kenya." International Journal of Environmental Science and Development 12, no. 3 (2021): 80–86. http://dx.doi.org/10.18178/ijesd.2021.12.3.1322.

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Beach accretion and/or erosion are evident on the Kenyan shoreline leading to loss of the aesthetic value of the beaches and destruction of shoreline properties. It is more prevalent on the Bamburi shoreline, which is about 4km long, and has been attributed to anthropogenic and natural processes that interfere with longshore drift depriving the beaches of sediments. Inadequate hazard assessments of the morphological processes on the beaches have made shoreline management interventions impracticable. Hazard vulnerability assessment obtained from the mean beach sediment volume was used to unders
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Dissertations / Theses on the topic "Shoreline"

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McWilliams, Brandon K. "Cuspate shoreline morphology." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FMcWilliams.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, June 2005.<br>Thesis Advisor(s): Edward Thornton, Timothy Stanton. Includes bibliographical references (p. 53-54). Also available online.
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Ishikawa, Rei. "Historical shoreline change and beach morphodynamics at Rapahoe Bay, West Coast, New Zealand." Thesis, University of Canterbury. Geography, 2008. http://hdl.handle.net/10092/1507.

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This thesis utilises a range of methodologies to investigate the historical shoreline change and beach morphodynamics at Rapahoe Bay, West Coast, New Zealand. Rapahoe Bay is a small embayment located 15 km north of Greymouth, and contains a complex and dynamic environment under a dominant swell condition. The objectives of this thesis include the investigation the coastline history through aerial photographs and relevant literature, identify and quantify historical shoreline change and the processes that have induced change, examine the short term and seasonal changes in beach profile, identif
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Nieminen, Eugene A. "Sirens of the shoreline /." Online version of thesis, 1990. http://hdl.handle.net/1850/10846.

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Ness, Kirsten L. "The Effects of Shoreline Development on Lake Littoral and Riparian Habitats: Are Shoreline Protection Regulations Enough?" Fogler Library, University of Maine, 2006. http://www.library.umaine.edu/theses/pdf/NessKL2006.pdf.

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Arriaga, García Jaime Alonso. "Dynamics of large-scale shoreline perturbations." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/620734.

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Shorelines around the world are rarely smooth and they can present undulations and cuspate shapes. On the one hand, human actions can cause shoreline perturbations via beach nourishments, which in turn perturb the wave field that drives the morphological changes. On the other hand, there can be natural perturbations in the coastal system due to positive feedbacks between the wave forcing and the evolving bathymetric contours. In this thesis, the dynamics of mega-nourishments and shoreline sand waves are investigated. A morphodynamic model based on the wave-driven alongshore sediment transpo
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Miller, Tara L. "- Waikiki - Analysis of an Engineered Shoreline." Thesis, University of Hawaii at Manoa, 2002. http://hdl.handle.net/10125/6953.

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Short-term and long-term shoreline change at Waikiki Beach is analyzed to enhance resource management. Bi-monthly beach profiles reveal short-term variations of the shoreline. Increased wave heights from south swells between May and October often correspond to a period of volume increase, while short-period wind waves predominating between November and April regularly correspond to volume losses. A total mean volume of 167,000 m3 is estimated for Waikiki Beach, with an uncertainty of 15 to 40%. A net volume loss of ~5,200 m3 is found between October 2000 and May 2002. The Royal Hawaiian littor
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M, Muslim Aidy @. Mohamed Shawal. "Shoreline mapping using satellite sensor imagery." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402222.

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Sukcharoenpong, Anuchit. "Review of U.S. Tide-Coordinated Shoreline." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1292053620.

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Lee, Hoo Il. "Shoreline assessment of Jefferson County, Texas." Texas A&M University, 2003. http://hdl.handle.net/1969/533.

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Ali, Tarig Abdelgayoum. "New methods for positional quality assessment and change analysis of shoreline features." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1070308923.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xiv, 142 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Ronxing Li, Dept.of Civil Engineering and Geodetic Science. Includes bibliographical references (p. 134-142).
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Books on the topic "Shoreline"

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Barbara, Taylor. Shoreline. London: Dorling Kindersley, 1993.

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Blake, Liam. Shoreline. Dun Laoghaire, Co. Dublin: Lightfingers, 1991.

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Anders, Fred J. Shoreline movements. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1990.

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B, Lewis D., and University of Hull. Department of Adult and Continuing Education., eds. Scarborough shoreline. [Beverley]: Normandy Press, 1987.

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Meirion, Dafydd. Walking Anglesey's shoreline. Llanrwst: Gwasg Carreg Gwalch, 2003.

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1962-, Sicheri Gabriella, Greenberg Ken, and Canadian Waterfront Resource Centre, eds. Toronto's moveable shoreline. [Toronto?]: Canadian Waterfront Resource Centre, 1990.

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Pramoulmetar, Christopher. Shoreline assessment model. Bellingham, WA: Huxley College of the Environment, Western Washington University, 2005.

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Washington (State). Dept. of Ecology. and Washington (State). Shorelands & Coastal Zone Management Program., eds. Shoreline management guidebook. [Olympia, Wash.?]: Washington State Dept. of Ecology, 1990.

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Washington (State). Shorelands & Coastal Zone Management Program., ed. Shoreline management guidebook. 2nd ed. [Olympia, Wash.]: Washington State Dept. of Ecology, Shorelands & Coastal Zone Management Program, 1994.

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Program, Guam Coastal Management, ed. Public shoreline access. [Agana?]: The Program, 1987.

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Book chapters on the topic "Shoreline"

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Mörner, Nils-Axel. "Shoreline." In Encyclopedia of Estuaries, 589–90. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_98.

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Piccioli Resta, Giuseppe, Sergio Fai, and Andrea Picciolo. "Drone remote sensing for coastal habitats protection." In Proceedings e report, 451–61. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.45.

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Growing beach tourist vocation of Lecce province has led to an increase human pressures along its coasts, often on habitats of conservation interest. Ever-increasing erosion phenomena of sandy shoreline constantly requires fast and effective monitoring activities assessing the conservation status of dunes and shoreline. Remote sensing via RPAS is proving useful to identify phenomena that act on a small scale and supporting and implementing protective measures with an adaptive management approach. This work consists of a protocol for monitoring dune cordons and nearby shorelines through RPAS.
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Serra, Jean. "Shoreline Extrapolations." In Handbook of Mathematical Geosciences, 225–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78999-6_12.

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Mörner, Nils-Axel. "Emergent Shoreline." In Encyclopedia of Estuaries, 237. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_100.

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Mörner, Nils-Axel. "Submergent Shoreline." In Encyclopedia of Estuaries, 651. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_101.

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Narayana, A. C. "Shoreline Changes." In Encyclopedia of Estuaries, 590–602. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_118.

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Ortega-Sánchez, Miguel, Alejandro López-Ruiz, Asunción Baquerizo Azofra, and Miguel A. Losada Rodríguez. "Shoreline Undulations." In Encyclopedia of Estuaries, 602. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_365.

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Abdel-Aal, P. M. "Shoreline Change Modeling." In Computer Modelling of Seas and Coastal Regions, 379–96. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2878-0_28.

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Rossi, Sergio. "The Swamped Shoreline." In Oceans in Decline, 143–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02514-4_13.

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Safina, Carl. "A Shoreline Remembrance." In Shifting Baselines, 13–19. Washington, DC: Island Press/Center for Resource Economics, 2011. http://dx.doi.org/10.5822/978-1-61091-029-3_1.

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Conference papers on the topic "Shoreline"

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Pujianiki, Ni Nyoman, Gde Rai Putra Arya Simpangan, Silvia Gabrina Tonyes, Komang Gede Putra Airlangga, I. Nengah Simpen, and Muhammad Shazril Idris Bin Ibrahim. "The Impact of Sanur Harbor Development on Shoreline Changes at Sanur Beach Using Sentinel-2 Satellite Imagery." In International Conference on Research in Engineering and Science Technology (IC-REST) 2023, 31–42. Switzerland: Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-uh8vrl.

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Morphological changes in shoreline areas are typically induced by the construction of structures in their vicinity. At Sanur Beach, the impact of the harbor's development is evident in shoreline changes, primarily in the form of accretion in the northern part of the breakwater. This study examines shoreline changes from 2018 to 2023, utilizing a remote sensing approach with Sentinel-2 Satellite Imagery. Sentinel-2 satellite image data in the Sanur Beach area undergo a process to generate a shoreline change map. The analysis is carried out using the Digital Shoreline Analysis System (DSAS) plug
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Savastano, Salvatore, Mark E. Pattle, Albert Garcia-Mondéjar, Victor Estella-Perez, Paula Gomes Da Silva, Jara Martínez Sanchez, Andres Payo, Yeray Castillo, and Xavier Monteys. "Sar Shoreline Processor: Methodology and First Results." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 1451–55. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642221.

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Cabezas-Rabadán, Carlos, Jaime Almonacid-Caballer, Josep E. Pardo-Pascual, and Jesús Soriano-González. "VARIABILIDAD DE LA LÍNEA DE COSTA A PARTIR DE IMÁGENES DE SATÉLITE Y SU RELACIÓN CON LA TEXTURA DEL SEDIMENTO." In 1st Congress in Geomatics Engineering. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/cigeo2017.2017.6628.

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Beaches are natural environments of great interest for our society. They go through remarkable changes run by key factors that are interconnected according to the literature. A better understanding of these parameters, such as sediment texture and shoreline variability, would be of a great interest for coastal monitoring and planning. Shorelines of all Landsat 8 (OLI) images available over the course of one year have been obtained for determining the variability that has occurred in different Valencian beaches. Likewise, the relation between shoreline variability and sediment texture has been
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OVERTON, MARGERY F., JOHN S. FISHER, and ROBERT DOLAN. "PREDICTING SHORELINE CHANGE ON A MANIPULATED SHORELINE." In Proceedings of the 29th International Conference. World Scientific Publishing Company, 2005. http://dx.doi.org/10.1142/9789812701916_0198.

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Garrow, Holly C. "Quantification of Shoreline Rhythmicity." In 19th International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1985. http://dx.doi.org/10.1061/9780872624382.146.

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van de Graaff, Jan, and Eco W. Bijker. "Seawalls and Shoreline Protection." In 21st International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1989. http://dx.doi.org/10.1061/9780872626874.156.

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Seymour, Richard, Robert Guza, and William O'Reilly. "Monitoring Regional Shoreline Change." In California and the World Ocean 2002. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40761(175)2.

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SCHEPPER, ROB, SIERD DE VRIES, AD RENIERS, CAROLINE KATSMAN, RAFAEL ALMAR, ERWIN BERGSMA, and MARK DAVIDSON. "MULTI-TIMESCALE SHORELINE MODELLING." In International Conference on Coastal Sediments 2019. WORLD SCIENTIFIC, 2019. http://dx.doi.org/10.1142/9789811204487_0188.

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Ruggiero, Peter, Jeff List, Dan Hanes, and Jodi Eshleman. "PROBABILISTIC SHORELINE CHANGE MODELING." In Proceedings of the 30th International Conference. World Scientific Publishing Company, 2007. http://dx.doi.org/10.1142/9789812709554_0288.

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"Stream 3B: Shoreline Change." In ICE Coasts, Marine Structures and Breakwaters Conference, 611–18. Leeds: Emerald Publishing Limited, 2024. http://dx.doi.org/10.1680/cmsb.67042.0611.

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Reports on the topic "Shoreline"

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Baron, Lisa, and Wendy Wright. Monitoring coastal shoreline change in Southeast Coast Network parks: Protocol implementation plan. National Park Service, 2018. https://doi.org/10.36967/2256509.

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The Southeast Coast Network is following the Northeast Coastal and Barrier Network Ocean Shoreline Position protocol (Psuty et al. 2010) to monitor shoreline change. The Southeast Coast Network monitoring objectives are to determine the spatial distribution of the magnitude and direction of observed shoreline change, determine cumulative and inter-annual changes in neap-tide high-tide shoreline position (average and standard deviation of change in position park-wide and within defined management units), and identify areas of highly dynamic shorelines and areas of accretion versus erosion. Some
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Conery, Ian, Nicholas Olsen, Shannon Brown, and Katherine Brodie. Quantifying coastal evolution and project performance at beaches by using satellite imagery. Engineer Research and Development Center (U.S.), June 2024. http://dx.doi.org/10.21079/11681/48671.

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Accurately delineating the shoreline is crucial for tracking coastal evolution, community vulnerability, storm impacts, and for coastal management decision-making. However, existing shoreline measurement methods are often time-consuming and expensive and therefore, USACE Districts are often forced to narrow areas of interest or monitoring frequency, decreasing the likelihood of making data-driven management decisions, especially over regional scales. In the last decade, space-borne earth observations have captured images subweekly, and can potentially be used for shoreline monitoring. This wor
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Gould, A. I., N. E. M. Kinsman, and M. D. Hendricks. Guide to projected shoreline positions in the Alaska shoreline change tool. Alaska Division of Geological & Geophysical Surveys, August 2015. http://dx.doi.org/10.14509/29503.

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Gould, A. I., N. E. M. Kinsman, and M. D. Hendricks. Alaska shoreline change tool. Alaska Division of Geological & Geophysical Surveys, August 2015. http://dx.doi.org/10.14509/29504.

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Gould, A. I., N. E. M. Kinsman, and M. D. Hendricks. Alaska shoreline change tool. Alaska Division of Geological & Geophysical Surveys, August 2015. http://dx.doi.org/10.14509/shoreline.

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Sekoni, Tosin, Mark Eberle, Matthew Balazik, Monica Chasten, Bob Collins, Brian Durham, Darrell Evans, and Kevin Philley. The use of native vegetation and natural materials in shoreline stabilization : a case study of Bubble Gum Beach, Rehoboth Beach, Delaware. Engineer Research and Development Center (U.S.), September 2023. http://dx.doi.org/10.21079/11681/47581.

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This technical note is the fourth in a series about using native plant communities to achieve engineering and ecological purposes such as shoreline stabilization, structural enhancements, habitat creation, and ecosystem development. In this series, we demonstrate the utility of natural materials (specifically, native vegetation, oyster reefs, and coir logs) in living shoreline projects. Plant species and plant communities play critical roles in wave attenuation and sediment accretion in coastal areas. The application of vegetation in the coastal areas, especially on the East and Gulf Coasts, h
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Overbeck, J. R., R. M. Buzard, M. M. Turner, K. Y. Miller, and R. J. Glenn. Shoreline change at Alaska coastal communities. Alaska Division of Geological & Geophysical Surveys, 2020. http://dx.doi.org/10.14509/30552.

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Kim, Jinki, and John Whalen. Chicago Botanic Garden Lake Shoreline Enhancements. Landscape Architecture Foundation, 2013. http://dx.doi.org/10.31353/cs0500.

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Hill, Carlton L. Shoreline Stabilization Design and Wetland Restoration. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada401154.

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Dyke, L. D. Shoreline permafrost along the Mackenzie River. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/211924.

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