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

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 analysis results show that the accretion process in the Laigiang river in the period of 2015-2020 with the accretion area ranges from 81.47 ha. Meanwhile, the area of shoreline erosion only fluctuates around 54.42 ha. The rhythm of evolution is a determinant element for this transitional system.

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ANALISIS PERUBAHAN GARIS PANTAI DALAM MENDUKUNG KETAHANAN EKOSISTEM PESISIR

Jukung (Jurnal Teknik Lingkungan) ◽

10.20527/jukung.v6i2.9260 ◽

2020 ◽

Vol 6 (2) ◽

Author(s):

Andik Isdianto ◽

Ilham Maulana Asyari ◽

Muchamad Fairuz Haykal ◽

Faradhilah Adibah ◽

Muhammad Javier Irsyad ◽

...

Keyword(s):

Linear Regression ◽

Coastal Ecosystems ◽

Regression Rate ◽

Shoreline Changes ◽

End Point ◽

Digital Shoreline Analysis System ◽

Average Change ◽

Analysis System ◽

End Point Rate ◽

Mangrove Conservation

Total luas Clungup Mangrove Conservation (CMC) adalah 177,24 ha, terdiri dari 71 ha mangrove, 10 ha terumbu karang dan 96,24 ha hutan lindung. Pada tahun 2020, selain pandemi COVID-19, wilayah Malang Selatan juga mengalami bencana lain yaitu banjir rob pada tanggal 26 Mei 2020. Hal tersebut mempengaruhi banyak hal termasuk perubahan garis pantai. Untuk mendukung ketahanan ekosistem pesisir, terutama perubahan garis pantai, perlu dilakukan penelitian tentang perubahan garis pantai selama 12 tahun terakhir (2008-2020). Perhitungan Net Shoreline Movement (NSM), Linear Regression Rate (LRR), dan End Point Rate (EPR) merupakan metode perhitungan perubahan garis pantai dalam metode Digital Shoreline Analysis System. Perhitungan regresi liner digunakan untuk mengukur tingkat perubahan garis pantai, metode yang digunakan adalah Linear Regression Rate (LRR) . Akresi tertinggi terjadi di pantai Tiga Warna dengan laju pertambahan rata-rata 0,11 meter / tahun dan jarak perubahan rata-rata 1,28 meter. Sedangkan abrasi tertinggi terjadi di Pantai Mini dengan laju abrasi rata-rata -0,33 meter / tahun dan jarak perubahan rata-rata -5,84 meter. Di pantai Gatra, abrasi dan akresi sama-sama tinggi. Informasi mengenai perubahan garis pantai dan prediksi perubahan garis pantai untuk kedepannya merupakan salah satu upaya yang dapat digunakan sebagai upaya awal untuk perlindungan Kawasan pesisir untuk mendukung ketahanan ekosistem pesisir. Kata kunci : Abrasi, akresi, digital shoreline analysis system, end point rate, net shoreline movement. The total area of Clungup Mangrove Conservation (CMC) is 177.24 ha, consisting of 71 ha of mangroves, 10 ha of coral reefs and 96.24 ha of protected forest. In 2020, apart from the COVID-19 pandemic, the South Malang region also experienced another disaster, namely the tidal flood on May 26, 2020. This affected many things including changes to the coastline. To support the resilience of coastal ecosystems, especially changes in shorelines, it is necessary to conduct research on changes in coastlines over the last 12 years (2008-2020). Calculation of Net Shoreline Movement (NSM), Linear Regression Rate (LRR), and End Point Rate (EPR) is a method of calculating shoreline changes in the Digital Shoreline Analysis System method. Liner regression calculations are used to measure the rate of change in the shoreline, the method used is the Linear Regression Rate (LRR). The highest accretion occurs at Tiga Warna beach with an average growth rate of 0.11 meters / year and an average change distance of 1.28 meters. Meanwhile, the highest abrasion occurred at Pantai Mini with an average abrasion rate of -0.33 meters / year and an average change distance of -5.84 meters. At Gatra beach, abrasion and accretion are both high. Information about shoreline changes and predictions of changes in coastlines in the future is one of the efforts that can be used as an initial effort to protect coastal areas to support the resilience of coastal ecosystems. Keywords: Abrasion, Accretion, Digital Shoreline Analysis System, End Point Rate, Net Shoreline Movement.

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Shoreline changes along the Kutubdia Island, south east Bangladesh using digital shoreline analysis system

Bangladesh Journal of Scientific Research ◽

10.3329/bjsr.v27i1.26228 ◽

2016 ◽

Vol 27 (1) ◽

pp. 99-108 ◽

Cited By ~ 5

Author(s):

Md Ashraful Islam ◽

Md Shakhawat Hossain ◽

Tanzeer Hasan ◽

Sanzida Murshed

Keyword(s):

Linear Regression ◽

Shoreline Changes ◽

Change Dynamics ◽

Weighted Linear Regression ◽

The North ◽

Medium Resolution ◽

Digital Shoreline Analysis System ◽

Analysis System ◽

End Point Rate

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 regression (WLR) and least median of squares (LMS) by using DSAS and subsequently all the methods were verified with the correlation coefficient (R).The scrutiny of shoreline changes shows that the erosion during the last 42 years has affected the island, with some exception, at the north and west segment where minor accretion has been documented. The average rates of changes estimated for north, south, east and west segment using WLR, LMS, EPR and LRR are Ñ4.0 m/yr, Ñ33.7 m/yr Ñ2.6 m/yr and Ñ5.6 m/yr, respectively. The outcome of this particular analysis might be useful for proper planning and management of Kutubida Island. However, this may also be used in statistical modeling for forecasting the future shoreline position.Bangladesh J. Sci. Res. 27(1): 99-108, June-2014

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Analisis Perubahan Garis Pantai Berdasarkan Data Citra Satelit di Wilayah Pesisir Kota Makassar Provinsi Sulawesi Selatan

Indonesian Journal of Fundamental Sciences ◽

10.26858/ijfs.v5i2.11113 ◽

2019 ◽

Vol 5 (2) ◽

pp. 122

Author(s):

Usman Usman ◽

Muhammad Azis Irbani

Keyword(s):

Satellite Data ◽

Secondary Data ◽

Shoreline Change ◽

Landsat 8 ◽

Shoreline Changes ◽

End Point ◽

Digital Shoreline Analysis System ◽

Using Data ◽

Analysis System ◽

End Point Rate

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. Observation of shoreline changes takes 12 years using data in 2006, 2010, 2013, and 2018. Based on the results of the analysis with the method of Digital Shoreline Analysis System (DSAS) found that during 12 years the coast of Makassar experienced a change in coastline which is accretion due to reclamation that occurred in Tallo and Tamalate sub-districts.

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Dinamika perubahan garis pantai Kabupaten Kendal tahun 2000-2020

Majalah Geografi Indonesia ◽

10.22146/mgi.62301 ◽

2021 ◽

Vol 35 (1) ◽

pp. 75

Author(s):

Bernadetta Indri Dwi Astuti ◽

Agung Laksono ◽

Dzakwan Taufiq Nur Muhammad ◽

Intan Fatin Nurbaiti ◽

Noverita Nur Hanifah ◽

...

Keyword(s):

Linear Regression ◽

Shoreline Change ◽

Rate Of Change ◽

Regression Rate ◽

End Point ◽

Digital Shoreline Analysis System ◽

Landsat 7 ◽

Analysis System ◽

End Point Rate ◽

The Impact

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 Shoreline Movement (NSM), End Point Rate (EPR), dan Linear Regression Rate-of-Change (LRR). Hasil penelitian menunjukkan bahwa nilai tertinggi dari Linear Regression Rate-of-Change (LRR) selama periode 20 tahun adalah sebesar 50,9 m/tahun sedangkan nilai terendah sebesar -35,81 meter/tahun. Nilai rata-rata EPR dan NSM selama periode 20 tahun adalah sebesar -0,07 m/tahun dan -1,14 meter. Berdasarkan studi ini, dampak dari perubahan garis pantai yang disebabkan abrasi dan akresi adalah adanya peningkatan dan penurunan luas wilayah. Bentuk mitigasi perubahan garis pantai di Kabupaten Kendal yakni dengan pembangunan breakwater dan penanaman hutan mangrove. Abstract Monitoring shoreline change due to accretion and abrasion processes is one of the efforts to protect the maritime boundary of Kendal Regency. Five multi-temporal Landsat 7 ETM + images spanning 20 years (2000-2020) is used in the tudy for the analysis of shoreline change in Kendal Regency. This study aims to investigate the shoreline change, analyze the impact, and propose mitigation of shoreline change in Kendal Regency as well. Digital Shoreline Analysis System (DSAS) is utilized for the analysis of the shoreline change through Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate-of-Change (LRR). The result shows that the highest value of the Linear Regression Rate (LRR) for 20 years is 50.09 m/year and the lowest value of LRR is -35.81 m/year. The average EPR and NSM are -0.07 m/years and -1.14 m. From this study, it can be observed that the impact of shoreline change induced by accretion and abrasion are the addition and subtraction of the predetermined area. The impacts can be mitigated by building breakwaters and planting mangroves.

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Determination of shoreline change along the East-Java coast, using Digital Shoreline Analysis System

MATEC Web of Conferences ◽

10.1051/matecconf/201817701022 ◽

2018 ◽

Vol 177 ◽

pp. 01022

Author(s):

Eva Louise den Boer ◽

Suntoyo ◽

A C Oele

Keyword(s):

Linear Regression ◽

Statistical Methods ◽

Shoreline Change ◽

Shoreline Retreat ◽

Regression Rate ◽

End Point ◽

Digital Shoreline Analysis System ◽

Analysis System ◽

End Point Rate

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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Shoreline Change Analysis of Pontang Cape of Serang Regency of Banten Province

Omni-Akuatika ◽

10.20884/1.oa.2020.16.2.800 ◽

2020 ◽

Vol 16 (2) ◽

pp. 90

Author(s):

Abdurrahman Al Farrizi ◽

Ankiq Taofiqurohman ◽

Subiyanto Subiyanto

Keyword(s):

Coastal Zone ◽

Shoreline Change ◽

Sand Mining ◽

Change Analysis ◽

Factors Affecting ◽

Shoreline Changes ◽

Sea Sand ◽

Digital Shoreline Analysis System ◽

Analysis System ◽

Shoreline Change Analysis

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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SPATIAL ANALYSIS OF SHORELINE CHANGES IN THE COASTAL OF SUBANG DISTRICT, WEST JAVA

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.28930/jitkt.v4i2.7790 ◽

2012 ◽

Vol 4 (2) ◽

Author(s):

Ankiq Taofiqurohman ◽

M. Furqon Azis Ismail ◽

M. Furqon Azis Ismail

Keyword(s):

Regression Analysis ◽

Spatial Analysis ◽

Field Survey ◽

Shoreline Change ◽

Residential Construction ◽

Maximum Width ◽

Shoreline Changes ◽

Digital Shoreline Analysis System ◽

Analysis System ◽

System Program

ABSTRACT Observation of coastal shoreline changes in the Subang District was conducted using Digital Shoreline Analysis System Program based on the satelite images of Landsat TM from 1996 to 2010. The purpose of this study was to determine the distance of shoreline change. Methods used in this study were field survey and regression analysis of shoreline data. The results of this study indicated the existence of a region experiencing accretion and abrasion. The maximum width of accretion of the coast was 1,051.55 meter while the maximum abration was 1,206.83 meter. Coastal shoreline change in Subang District occurred mainly due to the development activities such as residential construction, altering the coastal mangrove to ponds and rice paddies, and sediment transport from the river around Subang District. Keywords: shoreline, Subang District, satelite images, accretion, abration

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SPATIAL ANALYSIS OF SHORELINE CHANGES IN THE COASTAL OF SUBANG DISTRICT, WEST JAVA

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.29244/jitkt.v4i2.7790 ◽

2012 ◽

Vol 4 (2) ◽

Author(s):

Ankiq Taofiqurohman ◽

M. Furqon Azis Ismail ◽

M. Furqon Azis Ismail

Keyword(s):

Regression Analysis ◽

Spatial Analysis ◽

Field Survey ◽

Shoreline Change ◽

Residential Construction ◽

Maximum Width ◽

Shoreline Changes ◽

Digital Shoreline Analysis System ◽

Analysis System ◽

System Program

ABSTRACT Observation of coastal shoreline changes in the Subang District was conducted using Digital Shoreline Analysis System Program based on the satelite images of Landsat TM from 1996 to 2010. The purpose of this study was to determine the distance of shoreline change. Methods used in this study were field survey and regression analysis of shoreline data. The results of this study indicated the existence of a region experiencing accretion and abrasion. The maximum width of accretion of the coast was 1,051.55 meter while the maximum abration was 1,206.83 meter. Coastal shoreline change in Subang District occurred mainly due to the development activities such as residential construction, altering the coastal mangrove to ponds and rice paddies, and sediment transport from the river around Subang District. Keywords: shoreline, Subang District, satelite images, accretion, abration

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DETECCIÓN DE CAMBIOS DE LA LÍNEA COSTERA AL NORTE DEL DISTRITO DE BUENAVENTURA MEDIANTE EL USO DE SENSORES REMOTOS

Bulletin of Marine and Coastal Research ◽

10.25268/bimc.invemar.2017.46.1.719 ◽

2017 ◽

Vol 46 (1) ◽

Author(s):

María Alejandra Cifuentes Ossa ◽

Leidy Viviana Rosero Henao ◽

John Josephraj Selvaraj

Keyword(s):

Salt Marshes ◽

Shoreline Change ◽

The United States ◽

Shoreline Changes ◽

Natural Processes ◽

Northern District ◽

Erosion And Accretion ◽

Analysis System ◽

End Point Rate ◽

Colombian Pacific

This study focuses on detecting the magnitude of shoreline changes of the northern District ofBuenaventura, in the Colombian Pacific, over a 30-year period, on a coast where the geomorphologyincludes beaches, cliffs, estuaries, deltas and salt marshes. Satellite imagery (Landsat MSS, ETM + andOLI TIRS) were used to detect historical positions of the shoreline in order to identify the processes ofchange, in terms of erosion and accretion, from 1986 to 2015. Statistical analysis of changes was carriedout to estimate distances and shoreline change rates, using a tool developed by the United States GeologicalSurvey (USGS): Digital Shoreline Analysis System (DSAS). The statistics on Net Shoreline Movement(NSM) and End Point Rate (EPR), provided information about the magnitude and trends of changes in theshoreline. The results indicate that areas with more advanced processes of accretion correspond to sectorsin Boca San Juan, Puerto España and near to La Concepción beach in the Department of Valle del Caucaand in the south of Chavica, in the Department of Chocó; all these sectors are located in the northern partof the study area. Also in the same sectors, particularly around Chavica, the most advanced processes oferosion were found, along with El Choncho beach and a small sector in the Malaga bay. Some sectors ofthe shoreline remained mostly stable, such as Malaga and Buenaventura Bays. Average shoreline changerate of (-) 0.21m per year was found, reflecting its erosive tendency with maximum EPR values 26.92mof accretion and (-) 21.01m for coastal erosion. Natural processes such as the influence of river dischargeand El Niño phenomenon, have contributed to these shoreline changes. The identified erosion and accretionprocesses can be recognized as priority areas of coastal management in the Colombian Pacific.

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A Shoreline Change Detection (2012-2021) and forecasting Using Digital Shoreline Analysis System (DSAS) Tool: A Case Study of Dahej Coast, Gulf of Khambhat, Gujarat, India

Indonesian Journal of Geography ◽

10.22146/ijg.56297 ◽

2021 ◽

Vol 53 (2) ◽

Author(s):

Mousumi Dey ◽

Shanmuga Priyaa S ◽

B. K. Jena

Keyword(s):

Linear Regression ◽

Change Detection ◽

Seasonal Pattern ◽

Shoreline Change ◽

Rate Of Change ◽

Shoreline Position ◽

Regression Rate ◽

Filter Model ◽

Analysis System ◽

End Point Rate

Shoreline is one of the coastal landforms which continuously changing in nature. Hence, monitoring of shoreline change is very obligate to understand and manage the coastal process. The objectives of the present study were i) to identify the shoreline change detection (2012 to 2021) based on various statistical methods along Dahej coast, Gujrat. ii) to forecast the shoreline position after 10 years. DSAS tool and Multi-dated satellite images (Sentinel-2 and LISS-IV) were used in present study. The result shows that, the pattern of rate of change was more or less similar with little variation in the values for the 3 different methods. Highest erosion rate was for End Point Rate, Linear Regression Rate and Weighted Linear Regression rate found -33m, -31m, -31m respectively at transect no 54. Highest accretion rate was 38m (EPR), 50m (LRR), 51m (WLR) along a particular transect. The forecast of shoreline position for the year 2032 observed through Kalman Filter Model. Seasonal analysis for 3 years (2016, 2017, 2018) shows the region not having any seasonal pattern.

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