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1

Terres de Lima, Lucas, Sandra Fernández-Fernández, Jean Marcel de Almeida Espinoza, Miguel da Guia Albuquerque, and Cristina Bernardes. "End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 162. http://dx.doi.org/10.3390/ijgi10030162.

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This paper presents the validation of the End Point Rate (EPR) tool for QGIS (EPR4Q), a tool built-in QGIS graphical modeler for calculating the shoreline change with the end point rate method. The EPR4Q tries to fill the gaps in user-friendly and free open-source tools for shoreline analysis in a geographic information system environment since the most used software—Digital Shoreline Analysis System (DSAS)—although being a free extension, it is created for commercial software. Additionally, the best free, open-source option to calculate EPR is called Analyzing Moving Boundaries Using R (AMBUR
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Astuti, Bernadetta Indri Dwi, Agung Laksono, Dzakwan Taufiq Nur Muhammad, et al. "Dinamika perubahan garis pantai Kabupaten Kendal tahun 2000-2020." Majalah Geografi Indonesia 35, no. 1 (2021): 75. http://dx.doi.org/10.22146/mgi.62301.

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Abstrak Pemantauan garis pantai akibat adanya proses akresi dan abrasi merupakan salah satu upaya untuk menjaga batas wilayah wilayah di Kabupaten Kendal. Lima multitemporal citra Landsat 7 ETM+ dalam periode tahun 20 tahun (2000-2020) digunakan untuk menganalisis perubahan garis pantai di Kabupaten Kendal.Tujuan dari penelitian ini adalah untuk menganalisis perubahan garis pantai dan menganalisis dampak serta upaya mitigasi dalam menangani perubahan garis pantai di Kabupaten Kendal. Digital Shoreline Analysis System (DSAS) digunakan untuk menganalisis perubahan garis pantai dengan metode Net
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Guimarães, Diandra Karina Martins, Maâmar El-Robrini, Renan Peixoto Rosário, and Rafael Alexandre Alves Menezes. "RECENT COASTLINE TRENDS ON THE EAST MARGIN OF THE MIDDLE PARÁ ESTUARY." Mercator 22, no. 2023 (2023): 1–17. http://dx.doi.org/10.4215/rm2023.e22019.

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The main objective of this article is to quantify the erosion and accretion rates on the eastern margin of the middle Pará Estuary within 32 years (1987, 1993, 1999, 2004, 2008, 2013, and 2019) with the use of remote sensing and data Digital Shoreline Analysis System (DSAS) extension. These methodological procedures recently applied in the Amazon region are effective in the search for intended results. To calculate with significant accuracy the rates of CL changes, select the parameters Net Shoreline Movement (NSM), Linear Regression Rate (LRR), and End Point Rate (EPR) to obtain the variation
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Omar A. Alharbi, Omar A. Alharbi. "Shoreline Change Analysis Along the Rabigh Coast of Saudi Arabia, Using Multi-Temporal Satellite Imagery." journal of King Abdulaziz University Marine Sciences 30, no. 2 (2020): 33–57. http://dx.doi.org/10.4197/mar.30-2.3.

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There is a lack of understanding about the impact of coastal activities on the modifications to the Red Sea shoreline of Saudi Arabia. The present work makes use of multi-temporal satellite data and the Digital Shoreline Analysis System (DSAS) application to investigate changes in the location of the shoreline along the Rabigh coastal area over the period of 1986–2019. For an evaluation of trends in the short and long term, the End Point Rate (EPR) and the Linear Regression Rate (LRR) were employed to determine the rates at which shoreline alterations occurred. According to the LRR technique,
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5

Salauddin, Md, Khandaker Tanvir Hossain, Istiaqe Ahmed Tanim, Md Anisul Kabir, and Mehedi Hasan Saddam. "Modeling Spatio-Temporal Shoreline Shifting of a Coastal Island in Bangladesh Using Geospatial Techniques and DSAS Extension." Annals of Valahia University of Targoviste, Geographical Series 18, no. 1 (2018): 1–13. http://dx.doi.org/10.2478/avutgs-2018-0001.

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Abstract The study attempted to assess the changes in shoreline and erosion-accretion of newly formed island at the mouth of the Meghna river estuary in Bangladesh using multi temporal satellite images and GIS techniques. The current study used NDWI an MNDWI to delineate land and water boundary to extract the shoreline and also used some overlay analysis to measure the erosion-accretion. DSAS extension is used for analyzing the shifting of the shoreline. The results (1990-2015) show that the island has 1192 hectares of land accreted during this time period, and about 1 km of its shoreline lost
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6

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 hig
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7

Lalit, M. Thakare, and A. Shitole Tushar. "Shoreline Change Detection Analysis along the Sindhudurg Coast of India using DSAS Technique." Indian Journal of Science and Technology 16, no. 18 (2023): 1340–48. https://doi.org/10.17485/IJST/v16i18.162.

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Abstract <strong>Objectives:</strong>&nbsp;To ascertain the shoreline changes along south Konkan region, Sindhudurg district, along the west coast of India.<strong>&nbsp;Methods:</strong>&nbsp;The Shoreline Change Detection Analysis (SCDA) was executed by field excursions, GPS surveys, cross-profiling and using satellite data. Toposheets were used for preparing a base map. GPS positions were marked at each location of measurement while surveying. Recorded data were cross-verified and compared with MMB bathymetric charts. Geometrically corrected Landsat imageries from 1991&ndash;2022 were used
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8

SABINA, Anninda, YULIUS YULIUS, Syamsul B. AGUS, et al. "GIS-BASED ESTIMATION OF SHORELINE CHANGE AT THE OLIE PIER HARBOR HERITAGE SITE, MANGGAR, EAST BELITUNG, INDONESIA." GeoJournal of Tourism and Geosites 53, no. 2 (2024): 431–41. http://dx.doi.org/10.30892/gtg.53206-1218.

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The coastal area is a dynamic region influenced by continuous interactions between land and the sea. Changes in coastal compositions are closely related to shoreline instability. This study analyzes coastline changes at the Olie Pier Heritage Site, Manggar, East Belitung, Indonesia, using statistical-based techniques EPR (End Point Rate) and NSM (Net Shoreline Movement) 2015 to 2023. The DSAS (Digital Shoreline Analysis System) was employed to calculate the shoreline alterations in every transect with a distance of about 100 m. The study area is generally predominated by a moderate abrasion. T
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9

Quang, Dinh Nhat, Vu Huong Ngan, Ho Sy Tam, Nguyen Trung Viet, Nguyen Xuan Tinh, and Hitoshi Tanaka. "Long-Term Shoreline Evolution Using DSAS Technique: A Case Study of Quang Nam Province, Vietnam." Journal of Marine Science and Engineering 9, no. 10 (2021): 1124. http://dx.doi.org/10.3390/jmse9101124.

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A Quang Nam coastline, located in the central of Vietnam, has been strongly affected by severe erosion and accretion due to climate change and human activities. Thus, understanding the causes and mechanisms of coastal morphology changes is essential to offer optimal coastal management and protection solutions. In this research, the Digital Shoreline Analysis System (DSAS) technique developed by the United States Geological Survey was adopted to calculate rate-of-change statistics from multiple historical coastline positions of Quang Nam province extracted from satellite images, i.e., Landsat a
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10

Amanu, Rendy Syahril, Muhammad Jouhar Syah, Krisna Dwi Oktabrian, and Imma Redha Nugraheni. "Analisis Perubahan Garis Pantai Pesisir Domas, Serang, Banten dari Tahun 1988 hingga 2023 Berdasarkan Data Citra Satelit Landsat." Journal of Marine Research 14, no. 1 (2025): 157–65. https://doi.org/10.14710/jmr.v14i1.42723.

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: Perubahan garis pantai merupakan salah satu fenomena yang terjadi di daerah pesisir. Di Indonesia perubahan garis pantai dapat disebabkan oleh berbagai faktor, baik alami maupun antropogenik. Penelitian ini berfokus pada analisis perubahan garis pantai di sekitar Pesisir Domas, Serang, Banten dari tahun 1988 hingga 2023 menggunakan data citra satelit Landsat. Tujuan utama dari penelitian ini adalah untuk memetakan dan mengukur perubahan garis pantai yang terjadi dari tahun 1988 hingga 2023. Metode yang digunakan dalam penelitian ini adalah Normalized Difference Water Index (NDWI) untuk inter
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11

Ridzuan, Nurfairunnajiha. "Evaluating Coastal Erosion and Accretion Along Batu Ferringhi Beach with Digital Shoreline Analysis System." BIO Web of Conferences 176 (2025): 01001. https://doi.org/10.1051/bioconf/202517601001.

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Coastal areas face significant challenges due to climate change, particularly through intensified wave action, which contributes to alterations in shoreline dynamics. The primary objective of this study is to assess these coastal changes by examining shoreline variations over eight years from 2016 to 2024, utilizing Sentinel satellite imagery for shoreline creation. A comprehensive methodology involving Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), Linear Regression Rate (LRR), and Weighted Linear Regression (WLR) was applied through DSAS. Results indicat
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12

Atayi, J., Y. A. Twumasi, Z. H. Ning, and A. B. Asare-Ansah. "A STUDY ON THE SHORELINE CHANGES AND LAND USE/LAND COVER ALONG THE KETA COASTAL ZONE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-2-2022 (July 25, 2022): 39–45. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-2-2022-39-2022.

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Abstract. The Keta Municipality has undergone a rapid increase in population due to economic and commercial activities. This led to the municipal’s coastal and shoreline zone being faced with severe environmental challenges throughout the years. The goal of the study was to evaluate Keta’s shoreline changes and the coastal Land Use Land Cover (LULC) using multi-temporal remote sensing datasets. These datasets were subjected to the following image processing techniques such as image enhancement, image classification and, shoreline extraction. The Digital Shoreline Analysis System (DSAS), a plug
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13

Shafique, S., F. Sarwar, S. Kausar, S. Abbas, and M. Khalid. "IDENTIFICATION OF SHORELINE CHANGES USING DIGITAL SHORELINE ANALYSIS SYSTEM (DSAS): A CASE STUDY OF KARACHI COAST, SINDH, PAKISTAN." Pakistan Journal of Science 76, no. 02 (2024): 179–89. https://doi.org/10.57041/vol76iss02pp179-189.

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Shorelines are a very important feature of the coast. It is continuously changing due to natural activities like waves, and currents, and anthropogenic activities like construction. These changes cause morphological changes to the coast due to erosion and accretion. In case of erosion, coasts are at risk. For this purpose, Shoreline Changes were calculated by using the Digital Shoreline Analysis System (DSAS) for the last two decades at the Karachi coast. Shoreline changes showed both erosion (at bin Qasim town) and accretion (at Korangi town) but erosion dominated the entire coastline, especi
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14

Pauline, S., and K. Sujith. "Shoreline Changes from Mahabalipuram to Odiyur Lake Using Digital Shore Line Analysis System." Indian Journal Of Science And Technology 18, no. 26 (2025): 2088–99. https://doi.org/10.17485/ijst/v18i26.137.

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Objectives: To examine the recent shoreline changes in the East coast of Tamil Nadu, India. Method: The current data set includes an evaluation of the morphological changes of the shoreline in the Indian state of Tamil Nadu, from Mahabalipuram to Odiyur Lake coastal stretch, using satellite images and DSAS (Digital Shoreline Analysis System) during a 17-year period. The research assesses the level of erosion and accretion along the coastline by utilizing statistical metrics, including EPR (End Point Rate) and NSM (Net Shoreline Movement). Five hundred sixty-one transects were created to assess
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15

Ngo, Anh Tu, Stéphane Grivel, Thai Le Phan, Huu Xuan Nguyen, and Trong Doi Nguyen. "Rapid detection of changes in the riverbanks of Laigiang river of the South Central Coast Vietnam: A methodology based on Digital Shoreline Analysis System and Sentinel-2." Disaster Advances 14, no. 11 (2021): 13–24. http://dx.doi.org/10.25303/1411da1324.

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The research focuses on using Sentinel-2 that can be integrated with the Digital Shoreline Analysis System (DSAS) as an effective tool for the determination of changes in the riverbanks and using linear regression to predict shoreline changes. The research applied the assessment of shoreline changes in the period of 2015- 2020 and forecast to 2025 in Laigiang river of the South Central Coast region of Vietnam. Based on the DSAS tool, parameters such as Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR) and Linear Regression Rate (LRR) were determined. The analy
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16

Malik, Arshid Hussain, and Randhi Uma Devi. "Analysis of shoreline changes in the severe storm surge region of upper Coromandel coast, India, using Remote sensing (RS) and Geographic information system (GIS)." Journal of Applied and Natural Science 15, no. 4 (2023): 1453–66. http://dx.doi.org/10.31018/jans.v15i4.5074.

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Coastlines have been subject to ongoing vulnerability from natural disasters, resulting in erosion and accretion occurring at varying intervals. The impacts of human activities and alterations in natural processes, including those induced by climate change, exacerbate the existing challenges faced along coastal regions. The present study aimed to analyze the changing shoreline along the Bapatla coastal tract in the upper coromandel coast of Andhra Pradesh due to erosion and accretion using the DSAS toolbar in ArcGIS software. Multiple statistical methods are available in DSAS; the present stud
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17

Mendonça, Francisco Jaime Bezerra, Rodrigo Mikosz Gonçalves, Joseph Awange, Luciana Maria da Silva, and Maria das Neves Gregório. "TEMPORAL SHORELINE SERIES ANALYSIS USING GNSS." Boletim de Ciências Geodésicas 20, no. 3 (2014): 701–19. http://dx.doi.org/10.1590/s1982-21702014000300040.

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In recent decades, Boa Viagem beach located in the city of Recife-PE and Piedade in Jaboatão dos Guararapes-PE (Brazil) has seen urbanization near the coastline causing changes in social, economic and morphological aspects, where coastal erosion problems are observed. This study uses GNSS (global navigation satellite system) shoreline monitoring approach, which is quicker, and provides continuously updatable data at cm-level accuracy to analyze and determine temporal positional shifts of the shoreline as well as annual average rates through EPR (end point rate). To achieve this, kinematic GNSS
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18

Zhou, Min, Mengquan Wu, Guangzong Zhang, Lianjie Zhao, Xiaoyun Hou, and Yi Yang. "Analysis of Coastal Zone Data of Northern Yantai Collected by Remote Sensing from 1990 to 2018." Applied Sciences 9, no. 20 (2019): 4466. http://dx.doi.org/10.3390/app9204466.

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Using remote sensing images of different time phases from 1990 to 2018, the surface coverage information of northern Yantai (coastline, 2 km from coastline to land) was extracted by means of average high tide line and visual interpretation. The end point change rate (EPR) and linear regression rate were used to study the coastline change rate, the fractal dimension of the coastline in the study area was analyzed, and the change of the type of coastal surface cover was analyzed by the transition matrix. The results show that: (1) Form 1990 to 2018, a significant trend of a continuous increase i
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Islam, Md Ashraful, Md Shakhawat Hossain, Tanzeer Hasan, and Sanzida Murshed. "Shoreline changes along the Kutubdia Island, south east Bangladesh using digital shoreline analysis system." Bangladesh Journal of Scientific Research 27, no. 1 (2016): 99–108. http://dx.doi.org/10.3329/bjsr.v27i1.26228.

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A ~65 km coastal stretch has been analyzed to estimate the change dynamics of Kutubdia Island with the help of digital shoreline analysis system (DSAS). This study investigated the reliability of medium resolution satellite imagery for mapping shoreline positions and for estimating historic rates of changes. Nine shoreline positions were extracted on 1972, 1976, 1980, 1989, 1999, 2004, 2009, 2011 and 2014 covering a long term of 42 years period. Rates of shoreline changes were estimated by four statistical methods namely, end point rate (EPR), linear regression rate (LRR), weighted linear regr
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El Hadri, Lamiae, Farid Boushaba, and Mimoun Chourak. "Evolution of shoreline dynamics in Betoya Bay, home of the Nador West Med port, Morocco using the DSAS technique." E3S Web of Conferences 502 (2024): 02005. http://dx.doi.org/10.1051/e3sconf/202450202005.

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Shorelines are subject to constant changes due to natural and anthropogenic factors. Monitoring these changes is imperative for effective coastal management, environmental protection, and sustainable development. This work aims to provide detailed insights into the morphology and transformation of the shoreline within Betoya Bay, home to the strategically positioned Nador West Med (NWM) port complex, which is pivotal in enhancing maritime transport within the Mediterranean region. To achieve this, we have integrated remote sensing data, using LANDSAT satellite imagery from 1993 to 2023, and GI
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Suhendra, Amron Amron, and Endang Hilmi. "The pattern of coastline change based on the characteristics of sediment and coastal slope in Pangenan coast of Cirebon, West Java." E3S Web of Conferences 47 (2018): 06001. http://dx.doi.org/10.1051/e3sconf/20184706001.

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The coastline changes depend on stability of coastal bodies, such as characteristics of sediment and coastal slope. This research aimed to determine the relationship between the rate of coastline changes with the characteristics of sediment and coastal slope. The coastline changes were analysed by Landsat satellite images in 1991, 1999 and 2017 used End Point Rate (EPR) method on Digital Shoreline Analysis System (DSAS) module. Sediment characteristics (grain size and sediment statistics mean, sorting, skewness and kurtosis) were analysed by dry sieves and hydrometer with graphical method. The
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Astuti, Windi Rahayu, and Erlyna Nour Arrofiqoh. "Mapping Shoreline Changes Using Digital Shoreline Analysis System in Coastal Areas of Bantul and Kulon Progo Regencies." Journal of Geospatial Science and Technology 2, no. 2 (2024): 35–44. https://doi.org/10.22146/jgst.v2i2.16172.

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Wilayah pesisir Kabupaten Bantul dan Kulon Progo, yang berbatasan langsung dengan Samudra Hindia, sangat rentan terhadap dampak gelombang tinggi, arus, dan perubahan iklim. Penelitian ini bertujuan untuk menghitung panjang garis pantai, jarak dan laju perubahan garis pantai, serta luas abrasi dan akresi di wilayah pesisir tersebut selama periode 2019 hingga 2023. Data citra satelit Sentinel-2 digunakan untuk memantau perubahan garis pantai, dengan metode Modified Normalized Difference Water Index (MNDWI) dan algoritma Otsu Thresholding untuk ekstraksi garis pantai. Hasil ekstraksi tersebut kem
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Regita Angelina, Sunarto, Subiyanto, and Mega Laksmini Syamsuddin. "Analisis Perubahan Garis Pantai Pasca Restorasi Mangrove di Kawasan Pesisir Pasir Sakti, Lampung Timur." Jurnal Hidrografi Indonesia 7, no. 1 (2025): 25–32. https://doi.org/10.62703/jhi.v7i1.140.

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Kawasan pesisir Pasir Sakti, Lampung Timur, merupakan wilayah yang rentan terhadap perubahan garis pantai akibat abrasi dan akresi. Faktor utama yang memengaruhi perubahan ini meliputi aktivitas hidrodinamika laut, dampak manusia, serta perubahan iklim. Penurunan luas hutan mangrove sejak 1980-an mengakibatkan tingginya tingkat abrasi, yang mengancam kelestarian ekosistem pesisir serta aktivitas masyarakat lokal. Penelitian ini bertujuan untuk menganalisis perubahan garis pantai selama periode 2003–2022 menggunakan metode Digital Shoreline Analysis System (DSAS) dengan indikator Net Shoreline
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Nur Elmanda, Nisrina, Ananto Aji, Heri Tjahjono, and Fahrudin Hanafi. "Dinamika Abrasi terkait Perubahan Garis Pantai di Desa Pantai Bahagia Kabupaten Bekasi." Indonesian Journal of Conservation 13, no. 2 (2025): 66–76. https://doi.org/10.15294/ijc.v13i2.18645.

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Desa Pantai Bahagia merupakan salah satu pesisir di Kabupaten Bekasi tepatnya di Kecamatan Muaragembong yang telah mengalami abrasi dengan sangat signifikan. Kejadian abrasi ini disebabkan oleh naiknya permukaan air laut dan adanya faktor pemicu berupa konversi lahan kawasan mangrove oleh masyarakat untuk keperluan pertambahan lahan tambak. Tujuan dari penelitian ini adalah menganalisis dinamika abrasi secara multitemporal selama 30 tahun di Desa Pantai Bahagia dari tahun 1993, 2000, 2007, 2012, 2020, 2023. Metode yang dilakukan adalah tahapan ekstraksi garis pantai dengan algoritma MNDWI (Mod
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Aprianti, Hesti, IGB Sila Dharma, I. Gede Hendrawan, and Nanin Anggaraini. "Deteksi Perubahan Garis Pantai Menggunakan Teknik Geospasial, Studi Kasus Kecamatan Tejakula." Journal of Marine Research and Technology 4, no. 2 (2021): 29. http://dx.doi.org/10.24843/jmrt.2021.v04.i02.p05.

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&#x0D; &#x0D; &#x0D; &#x0D; The coastal area in Tejakula Subdistrict has many potential benefits for local people and the development of the region. Regarding its economic perspective, marine biodiversity can be utilized for tourism development. In terms of culture and history, this area has many archaeological findings ranging from prehistory until the colonial period. However, the recent study from Balai Arkeologi Bali stated the objects were sunk into underwater at a depth of 1-2 meters due to the abrasion process. Therefore, this research discussed the changes of shoreline in the Tejakula
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Basheer Ahammed, K. K., and Arvind Chandra Pandey. "Assessment and prediction of shoreline change using multi-temporal satellite data and geostatistics: A case study on the eastern coast of India." Journal of Water and Climate Change 13, no. 3 (2022): 1477–93. http://dx.doi.org/10.2166/wcc.2022.270.

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Abstract Climate change and rising sea level is transforming global coastlines as corroborated by significant changes in the position of shoreline witnessed through coastal erosion or accretion. Andhra Pradesh has the second longest (972 km) coastline in India. The present study analyzed shoreline change and its future prediction by employing satellite-derived data and geographic information system. End point rate (EPR) and linear regression rate (LRR) statistical tools in the Digital Shoreline Analysis System (DSAS) were used to estimate historical shoreline change rate between 1973 and 2015.
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Husaini, Rizki Ramadhan, Muhammad Yazid, Husni Mubarak, Tri Ramadani, Muhammad Hanif Ahda, and Muhammad Fajar Anugrah. "ANALISIS PERUBAHAN GARIS PANTAI DI WILAYAH PESISIR PROVINSI RIAU MENGGUNAKAN DATA SATELIT." Racic : Rab Construction Research 8, no. 2 (2023): 352–63. http://dx.doi.org/10.36341/racic.v8i2.4045.

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Provinsi Riau memiliki wilayah garis pantai yang diperkirakan mencapai 2.713 kilometer. Perubahan garis pantai di wilayah pesisir Provinsi Riau terjadi di sepanjang garis pantai yang ada saat ini. Perubahan ini berdampak pada zona kawasan perbatasan negara serta penurunan kualitas hidup masyarakat yang bermukim di sekitar wilayah tersebut. Penelitian ini bertujuan mengetahui jarak dan laju perubahan garis pantai, serta perubahan maksimum abrasi dan akresinya. Perhitungan perubahan garis pantai menggunakan data satelit yang diolah melalui aplikasi Digital Shoreline Analysis System (DSAS) dengan
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Paramita, Elisa, Rifardi Rifardi, and Feliatra Feliatra. "Analysis of the Level of Abrasion on the Coast of Bukit Batu Sub-District, Bengkalis Regency, Riau." Jurnal Perikanan dan Kelautan 27, no. 3 (2022): 319. http://dx.doi.org/10.31258/jpk.27.3.319-327.

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The purpose of this study is to determine the rate of shoreline change and the level of abrasion in Bukit Batu District, Bengkalis Regency, Riau Province based on several physical variables in the coastal area. End Point Rate (EPR) is a method that can be used to calculate the rate of shoreline change by displaying transects according to their category (high abrasion, medium abrasion, low abrasion, stable, and accretion). From 1991-2021 there was an abrasion of ±139.71 meters equivalent to ±4.65 m/year which mostly occurred in Sukajadi Village and Pangkalan Jambi Village, while accretion of ±2
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Fatunmibi Ibukun Emmanuel, Oborie Ebiegberi, and Otutu Anslem Onyebuchi. "Shoreline Change Assessment in the Orashi River, Rivers State, Nigeria, using the Digital Shoreline Analysis System (DSAS)." Sumerianz Journal of Scientific Research, no. 64 (December 28, 2023): 70–77. http://dx.doi.org/10.47752/sjsr.64.70.77.

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Shoreline change profoundly impacts coastal geology and coastal communities. This study, spanning three decades from 1992 to 2022, employed the Digital Shoreline Analysis System (DSAS) to assess the Orashi River shoreline dynamics in Nigeria. Using Landsat imagery data from the United States Geological Survey (USGS) and ArcGIS 10.6, DSAS 5.0 software was utilized for analysis. Various statistical methods, including Linear Regression Rate (LRR), Weighted Linear Regression (WLR), End Point Rate (EPR), Net Shoreline Movement (NSM), and Shoreline Change Envelope (SCE), quantified shoreline changes
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Zoysa, Sanjana, Vindhya Basnayake, Jayanga T. Samarasinghe, et al. "Analysis of Multi-Temporal Shoreline Changes Due to a Harbor Using Remote Sensing Data and GIS Techniques." Sustainability 15, no. 9 (2023): 7651. http://dx.doi.org/10.3390/su15097651.

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Coastal landforms are continuously shaped by natural and human-induced forces, exacerbating the associated coastal hazards and risks. Changes in the shoreline are a critical concern for sustainable coastal zone management. However, a limited amount of research has been carried out on the coastal belt of Sri Lanka. Thus, this study investigates the spatiotemporal evolution of the shoreline dynamics on the Oluvil coastline in the Ampara district in Sri Lanka for a two-decade period from 1991 to 2021, where the economically significant Oluvil Harbor exists by utilizing remote sensing and geograph
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Usman, Usman, and Muhammad Azis Irbani. "Analisis Perubahan Garis Pantai Berdasarkan Data Citra Satelit di Wilayah Pesisir Kota Makassar Provinsi Sulawesi Selatan." Indonesian Journal of Fundamental Sciences 5, no. 2 (2019): 122. http://dx.doi.org/10.26858/ijfs.v5i2.11113.

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This study aims to analyze the changes in the coastline in the coastal of Makassar city by using Digital Shoreline Analysis System (DSAS) method. The data used in this study was secondary data in the form of Landsat 5 and Landsat 8 digital satellite data which were acquired on 8 April 2019 and have been corrected radiometrically and geometrically obtained from the Lembaga Penerbangan dan Antariksa Nasional (LAPAN). The data was processed using ArcGIS 10.3 to obtain the overlay result. Shoreline Movement (NSM) and End Point Rate (EPR) methods used to calculate shoreline change calculations. Obs
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Li, Sizheng, Feng Gui, Jirong Feng, et al. "Analysis of Shoreline Change in Huizhou–Shanwei Region (China) from 1990 to 2023." Water 17, no. 10 (2025): 1460. https://doi.org/10.3390/w17101460.

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The dynamic change in the shorelines reflects an important sign to the socio-economic development of coastal areas. The Huizhou–Shanwei region of China has experienced rapid socio-economic development over the past 33 years. The study of the dynamic change in the shorelines in this region can provide basic data support for the marine environmental protection and regional development planning in this region. Based on Landsat RS (remote sensing) images from 1990 to 2023, this study obtained the length and structure data of the shorelines in eight periods by manual visual interpretation. DSAS (Di
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Manurung, Romanna Friska Pricilia, Nurul Khakhim, and Bowo Susilo. "Quantify Relation of SLR and Changes Along Karawang Coastal: GIS and Statistical Model Utilization." IOP Conference Series: Earth and Environmental Science 1503, no. 1 (2025): 012030. https://doi.org/10.1088/1755-1315/1503/1/012030.

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Abstract SLR has become a global and worldwide issue. However, its effects on shorelines, which depend on local variability and coastal geomorphology, make it necessary to monitor these impacts on a local scale. Not only observing shoreline shifting, this study also aims to evaluate the performance of Geographic Information Systems (GIS) in assessing shoreline change and its SLR in Karawang Regency. Using statistical models provided by QSCAT Plugin, we analyze SLR contribution to shoreline displacement activities along Karawang. Several models which are Net shoreline movement (NSM), End Point
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34

Odubo, Ebifuro, and Digieneni Eli Horsfall. "GEOSPATIAL ANALYSIS OF LONG-TERM SHORELINE CHANGES AT SELECTED SETTLEMENTS IN BRASS LOCAL GOVERNMENT AREA, BAYELSA STATE, NIGERIA." WILBERFORCE JOURNAL OF THE SOCIAL SCIENCES 9, no. 2 (2024): 11–27. http://dx.doi.org/10.36108/wjss/confp.2024.002.

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The aim of this study is to assess shoreline changes, to improve understanding of shoreline change trends and the corresponding changes in land (both gained and lost) along the shorelines of Sangana, Brass, and Okpoama settlements in the Brass local government area of Bayelsa state, Nigeria, from 1990 to 2020, a period of 30 years. The study employed a natural experiment quasi-experimental research design and utilized multiple spatio-temporal landsat satellite data set of 1990, 2000, 2010, and 2020. The study adopted the Geographic Information System (GIS) techniques for data analysis. The GIS
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Zhan, Xueli, Yi Tian, Chengjin Liu, Aili Hou, and Junhai Ma. "Study of the Complexity Game of Supply Chain Green Innovation Introduction under EPR Policy and Government Subsidies." Complexity 2020 (September 9, 2020): 1–18. http://dx.doi.org/10.1155/2020/5342606.

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Nowadays, with global scientific and technological levels rapidly improving, innovation has been a great need for enterprises to solve the dilemma. Combined with EPR (Extended Producer Responsibility) and the topic of remanufacturer, adopting green innovation has been an effective way when green supply chain management is applied. In this paper, we focus on the activity of green innovation and build a model where the manufacturer will invest in green innovation to improve the product availability rate of recycled products and save the cost in the process of remanufacturing. Besides, we take th
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36

Akinluyi, Francis O., Abiodun O. Adebola, and Adebowale A. Adeseko. "Assessment of Shoreline and Associated Landuse/Land cover Changes along Part of Lagos Coastline, Nigeria." Contemporary Trends in Geoscience 7, no. 1 (2018): 59–70. http://dx.doi.org/10.2478/ctg-2018-0004.

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Abstract The city of Lagos, Nigeria has undergone rapid increase in population due to economic and commercial activities. As a result of this, there has been a persistent change in Land use/Land cover (LULC) of the city and shoreline through the years. This observation necessitated the use of multi-temporal satellite data to characterize shoreline changes between 1984 and 2016. Therefore, the study attempts to determine the shoreline change during the study period and the coastal land use and land cover (LULC) of the study area. Satellite data was acquired andsubjected to some image processing
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Tran Thi, V., H. Phan Nguyen, A. Tien Thi Xuan, F. Dahdouh-Guebas, and N. Koedam. "Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Ca Mau, Vietnam." Biogeosciences Discussions 10, no. 12 (2013): 20047–77. http://dx.doi.org/10.5194/bgd-10-20047-2013.

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Abstract. Ca Mau at the southern tip of Vietnam supports a large area of mangroves and has a high value for biodiversity and scenic beauty. This area is affected by erosion along the East Sea and accretion along the Gulf of Thailand, leading to the loss of huge stretches of mangroves along the East Sea and, in some cases, loss of ecosystems services provided by mangroves. In this study, we used remotely sensed aerial (1953), Landsat (1979, 1988, and 2000) and SPOT (1992, 1995, 2004, 2008 and 2009, and 2011) images and the Digital Shoreline Analysis System (DSAS) to quantify the rate of mangrov
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38

Liem, Ngo Van, Dang Van Bao, Dang Kinh Bac, et al. "Assessment of shoreline changes for setback zone establishment from Son Tra (Da Nang city) to Cua Dai (Hoi An city), Vietnam." VIETNAM JOURNAL OF EARTH SCIENCES 42, no. 4 (2020): 363–83. http://dx.doi.org/10.15625/0866-7187/42/4/15410.

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The most important function of the coastal setback is to minimize damage due to coastal erosion, climate change response, and sea-level rise. There are many directions and methods of researching and assessing coastal changes and coastal erosion. This study presents the results of the shoreline changes in the area from Son Tra (Da Nang City) to Cua Dai (Hoi An City), Central Vietnam based on remote sensing data from 1965 to 2019. Three methods are used to include End Point Ratio (EPR), Linear Regression Rate (LRR), and Weighted Linear Regression (WLR). The results show that the EPR method is ef
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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 (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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Rifardi, Rifardi, Syahril Nedi, and Arika Febriani Aminah. "The sedimentation and shoreline change on the coast of Tanjung Kapal Cape, Rupat Island." BIO Web of Conferences 74 (2023): 04001. http://dx.doi.org/10.1051/bioconf/20237404001.

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Tanjung Kapal is a cape area located on Rupat Island and is influenced by the oceanographic characteristics of the Rupat Strait. This research was conducted in June 2022 to provide information about the level of accretion on the coast of Tanjung Kapal from 2002 to 2020. The research was carried out through two steps : 1) processing of secondary data using Landsat Imagery Data, and 2) collection of sediment samples using a sediment grab, along with oceanographic observations (currents, tides, and waves) at the coast. Statistical calculations used to determine the accretion rate at Tanjung Kapal
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Meizwar, Dara Afiifah, and Ayi Tarya. "Dinamika Perubahan Garis Pantai Di Muara Gembong, Bekasi, Jawa Barat Pada Tahun 2011-2021." Journal of Tropical Marine Science 7, no. 2 (2024): 113–27. http://dx.doi.org/10.33019/jour.trop.mar.sci.v7i2.5063.

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Perubahan garis pantai dapat berupa bertambahnya (akresi) atau berkurangnya (abrasi) daratan di wilayah pesisir salah satunya akibat aktivitas manusia. Studi ini bertujuan untuk mengetahui perubahan garis pantai berupa abrasi dan akresi yang terjadi di Muara Gembong tahun 2011-2021 menggunakan garis pantai hasil ekstraksi dari citra satelit Landsat dengan metode band ratio dan composite RGB. Analisis perubahan garis pantai dengan Digital Shoreline Analysis (DSAS) menggunakan metode statistika Net Shoreline Movement (NSM), End Point Rate (EPR) dan Linear Regression Rate (LRR) untuk mengindentif
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42

Bolanio, K. P., L. G. S. Digal, H. J. R. Estilo, and R. A. Seronay. "SPATIO-TEMPORAL SCALES OF LAND COVER AND SHORELINE DYNAMICS IN BANAYBANAY, DAVAO ORIENTAL, PHILIPPINES USING AVAILABLE OPTICAL SATELLITE IMAGERY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W8-2023 (April 24, 2024): 61–67. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w8-2023-61-2024.

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Abstract. Shoreline dynamics are often the most visible indicators of changes that occur in coastal areas. It is essential to consider a shoreline's physical location while evaluating changes on a temporal and chronological scale. The shoreline in Banaybanay, Davao Oriental, has undergone significant land use changes, leading to negative impacts on related coastal processes, including mariculture conditions in the area. This study aims to determine changes in land cover and shoreline in Banaybanay’s coastal barangays by analyzing satellite images from 1989–2021 using remote sensing, GIS, and D
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43

Chettiyam Thodi, Muhamed Fasil, Girish Gopinath, Udayar Pillai Surendran, Pranav Prem, Nadhir Al-Ansari, and Mohamed A. Mattar. "Using RS and GIS Techniques to Assess and Monitor Coastal Changes of Coastal Islands in the Marine Environment of a Humid Tropical Region." Water 15, no. 21 (2023): 3819. http://dx.doi.org/10.3390/w15213819.

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Vypin, Vallarpadam, and Bolgatty are significant tropical coastal islands situated in the humid tropical Kerala region of India, notable for their environmental sensitivity. This study conducted a comprehensive assessment of shoreline alterations on these islands by integrating Remote Sensing (RS) and Geographic Information Systems (GIS) techniques. Utilizing satellite imagery from the LANDSAT series with a spatial resolution of 30 m, the analysis spanned the years from 1973 to 2019. The Digital Shoreline Analysis System (DSAS) tool, integrated into the ArcGIS software, was employed to monitor
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Mopoliu, Mohamad Fazri, Joyce Ch Kumaat, and Grace F. E. Suoth. "Studi Perubahan Garis Pantai dengan Menggunakan Penginderaan Jauh Berbasis Gis/Geographic Information System di Desa Atep Oki Kecamatan Lembean Timur Kabupaten Minahasa." Action Research Literate 9, no. 7 (2025): 1198–212. https://doi.org/10.46799/arl.v9i7.3001.

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Masalah dalam penelitian ini yaitu perubahan garis pantai yang terjadi di desa Atep Oki Kecamatan Lembean Timur Kabupaten Minahasa Provinsi Slawesi Utara, Perubahan garis pantai yang terjadi secara terus menerus mengakibatkan rusaknya sebuah ekosistem pesisir pantai oleh abrasi. Tujuan dari penelitian ini untuk mengkaji faktor penyebab terjadinya perubahan garis pantai dan mengetahui perubahan garis pantai yang terjadi dalam waktu dua tahun yaitu tahun (2015 dan 2020). Penelitian ini menggunakan metode deskriptif dengan menggunakan Teknik pengukuran dan pemetaan, Teknik pengumpulan data yang d
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45

Tran Thi, V., A. Tien Thi Xuan, H. Phan Nguyen, F. Dahdouh-Guebas, and N. Koedam. "Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam." Biogeosciences 11, no. 14 (2014): 3781–95. http://dx.doi.org/10.5194/bg-11-3781-2014.

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Abstract. Mui Ca Mau at the southern tip of Vietnam supports a large area of mangroves and has a high value for biodiversity and scenic beauty. This area is affected by erosion along the East Sea and accretion along the Gulf of Thailand, leading to the loss of huge stretches of mangroves along the East Sea and, in some cases, loss of environmental and ecosystem services provided by mangroves. In this study, we used remotely sensed aerial (1953), Landsat (1979, 1988 and 2000) and SPOT (1992, 1995, 2004, 2008, 2009 and 2011) images and the Digital Shoreline Analysis System (DSAS) to quantify the
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46

Zambrano-Medina, Yedid Guadalupe, Wenseslao Plata-Rocha, Sergio Alberto Monjardin-Armenta, and Cuauhtémoc Franco-Ochoa. "Assessment and Forecast of Shoreline Change Using Geo-Spatial Techniques in the Gulf of California." Land 12, no. 4 (2023): 782. http://dx.doi.org/10.3390/land12040782.

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In coastal regions, the combined effects of natural processes, human activity, and climate change have caused shoreline changes that may increase in the future. The assessment of these changes is essential for forecasting their future position for proper management. In this context, shoreline changes in the Gulf of California (GC), Mexico, have received little attention and no previous studies have addressed future forecasting. In this study, the researchers assessed the historical shoreline changes to forecast the long-term shoreline positions. To address this, shoreline data were obtained fr
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ISIAKA, Ibrahim Opeyemi, and Herbert TATA. "Futuristic prediction of the lagoon coast shorelines using spaceborne Synthetic Aperture Radar (SAR) imagery." Nova Geodesia 4, no. 2 (2024): 184. http://dx.doi.org/10.55779/ng42184.

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The coast is an extremely dynamic ecosystem that is subject to anthropogenic factors and sea level rise. All of this heightens the worry because it combines the elements that produce storm surges and tropical storms, which raise the possibility of shoreline shift and subsequent coastal erosion. The coastal zone is a prime example of a crucial ecosystem that is also highly dynamic, with shorelines that grow and contract in response to human activity, storm surges, tropical cyclones, and sea level rise. The shoreline that characterizes erosion and deposition is constantly changing, but accurate
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48

Susiati, H., M. A. Widiawaty, M. Dede, A. A. Akbar, and P. M. Udiyani. "Modeling of shoreline changes in West Kalimantan using remote sensing and historical maps." International Journal of Conservation Science 13, no. 3 (2022): 1043–56. https://doi.org/10.5281/zenodo.7109747.

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Mapping of potential site for nuclear reactors in Indonesia&rsquo;s coastal areas is a part of the national program. The coast of West Kalimantan is selected as a potential location for nuclear site, it needs understanding of shoreline changes. The main requirement for determining nuclear site location must be built in minimum abrasion and accretion. This study aimed to analyse the shoreline changes based on remote sensing and historical maps data. We used historical maps for 1945, whereas Landsat imagery for 1990, 2005, and 2020. These imageries are analysed to determine total suspended soili
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Abdul Maulud, Khairul Nizam, Siti Norsakinah Selamat, Fazly Amri Mohd, et al. "Assessment of Shoreline Changes for the Selangor Coast, Malaysia, Using the Digital Shoreline Analysis System Technique." Urban Science 6, no. 4 (2022): 71. http://dx.doi.org/10.3390/urbansci6040071.

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Coastal areas are fragile and changeable due to natural and anthropogenic factors. The resulting changes could have a significant impact on the coastal community. Thus, monitoring shoreline changes for environmental protection in the Selangor coastal area is an important task to address these issues. The main objective of this study is to analyse the pattern of shoreline changes and predict the shoreline position along the Selangor coast. The geospatial approach can provide information on the history and pattern of shoreline changes. This study used temporal datasets and satellite imagery (SPO
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Umami, Khairul, Syawaludin A. Harahap, Mega Laksmini Syamsudin, and Sunarto Sunarto. "APLIKASI CITRA LANDSAT DALAM ANALISA PERUBAHAN GARIS PANTAI (Studi Kasus di Pesisir Sayung, Kabupaten Demak, Jawa Tengah)." Seminar Nasional Geomatika 3 (February 15, 2019): 919. http://dx.doi.org/10.24895/sng.2018.3-0.1058.

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Pantai merupakan daerah yang sangat dinamis untuk berubah seiring bertambahnya waktu. Salah satu perubahan yang terjadi di daerah pantai yaitu perubahan pada garis pantai. Tujuan penelitian ini yaitu untuk mengetahui tingkat perubahan garis pantai di pesisir Kecamatan Sayung, Kabupaten Demak dari hasil overlay citra satelit Landsat. Penelitian ini diharapkan dapat berguna sebagai rujukan penelitian selanjutnya, serta sebagai informasi untuk instansi-instansi terkait dan pemerintah agar dapat memperhatikan kondisi keseimbangan fisik pantai di Pesisir Sayung. Penelitian ini menggunakan data yang
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