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

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.

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

2021 ◽  
Vol 14 (11) ◽  
pp. 13-24
Author(s):  
Anh Tu Ngo ◽  
Stéphane Grivel ◽  
Thai Le Phan ◽  
Huu Xuan Nguyen ◽  
Trong Doi Nguyen
Keyword(s):  
Linear Regression ◽  
Shoreline Change ◽  
The South ◽  
Central Coast ◽  
Shoreline Changes ◽  
South Central ◽  
Digital Shoreline Analysis System ◽  
Analysis System ◽  
End Point Rate ◽  
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.

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

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.

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

Omni-Akuatika ◽  
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

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

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Ankiq Taofiqurohman ◽  
M. Furqon Azis Ismail ◽  
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

<p>ABSTRACT</p> <p>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.</p> <p>Keywords: shoreline, Subang District, satelite images, accretion, abration</p>

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

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Ankiq Taofiqurohman ◽  
M. Furqon Azis Ismail ◽  
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

scholarly journals Long-Term Shoreline Evolution Using DSAS Technique: A Case Study of Quang Nam Province, Vietnam

2021 ◽  
Vol 9 (10) ◽  
pp. 1124
Author(s):  
Dinh Nhat Quang ◽  
Vu Huong Ngan ◽  
Ho Sy Tam ◽  
Nguyen Trung Viet ◽  
Nguyen Xuan Tinh ◽  
...  
Keyword(s):  
Coastal Management ◽  
The United States ◽  
Rate Of Change ◽  
United States Geological Survey ◽  
Statistical Parameters ◽  
Coastal Morphology ◽  
Shoreline Evolution ◽  
The North ◽  
Analysis System ◽  
End Point Rate

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 and Sentinel images from 1990 to 2019. The coastal dynamic was digitized, visualized, and compared by two statistical parameters provided in DSAS, namely End Point Rate (EPR) and Linear Regression Rate (LRR). The final results reveal that the Quang Nam coast experienced remarkable phenomena of erosion and accumulation over the past three decades. The total number of erosional and accretional transects obtained from the EPR results are 401 and 414, with annual change rates of −1.7 and 0.77 m/year, respectively. The LRR parameter was also considered and illustrated a significant correlation with the EPR, as the obtained R2 value of 0.96. The lowest value of EPR over the period 1990–2019 is −42.4 m/year, highlighting the most significant erosion at the north of Cua Dai estuary, whereas coastline advance is recorded in the south segment. As a result, this study’s outcomes provide helpful information for better and sustainable coastal management in Quang Nam province of Vietnam.

scholarly journals End Point Rate Tool for QGIS (EPR4Q): Validation using DSAS and AMBUR

2021 ◽  
Author(s):  
Lucas Terres de Lima ◽  
Sandra Fernández-Fernández ◽  
Jean Marcel de Almeida Espinoza ◽  
Miguel da Guia Albuquerque ◽  
Cristina de Almeida Bernardes
Keyword(s):  
Open Source ◽  
Pearson Correlation ◽  
Shoreline Change ◽  
End Point ◽  
Free Extension ◽  
Analysis System ◽  
End Point Rate ◽  
User Friendly ◽  
Free Open Source ◽  
Scientific Engineering

This paper presents the validation of the End Point Rate (EPR) tool for QGIS (EPR4Q), a tool built-in QGIS Graphical Modeler to calculate the shoreline change by End Point Rate method. The EPR4Q tries to fill the gap of user-friendly and free open-source tool for shoreline analysis in Geographic Information System environment, since the most used software - Digital Shoreline Analysis System (DSAS) - although is a free extension, is suited for commercial software. Besides, the best free open-source option to calculate EPR called Analyzing Moving Boundaries Using R (AMBUR), since it is a robust and powerful tool, the complexity and heavy processes can restrict the accessibility and simple usage. The validation methodology consists of applying the EPR4Q, DSAS, and AMBUR on different examples of shorelines found in nature, extracted from the U.S. Geological Survey Open-File. The obtained results of each tool were compared with Pearson correlation coefficient. The validation results indicate that the EPR4Q tool created acquired high correlation values with DSAS and AMBUR, reaching a coefficient of 0.98 to 1.00 on linear, extensive, and non-extensive shorelines, guarantying that the EPR4Q tool is ready to be freely used by the academic, scientific, engineering, and coastal managers communities worldwide.

scholarly journals ANALISIS PERUBAHAN GARIS PANTAI DALAM MENDUKUNG KETAHANAN EKOSISTEM PESISIR

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.

scholarly journals Coastal Vulnerability Mapping using Remote Sensing and GIS Techniques in Tuticorin Coast of Tamil Nadu, India

2019 ◽  
pp. 1-12
Author(s):  
B. Santhosh Kumar ◽  
A. Balukkarasu ◽  
K. Tamilarasan
Keyword(s):  
Satellite Data ◽  
Tamil Nadu ◽  
Shoreline Change ◽  
The United States ◽  
Disaster Mitigation ◽  
United States Geological Survey ◽  
Coastal Vulnerability ◽  
Change Rate ◽  
Shoreline Change Rate ◽  
Erosion And Accretion

The southern part of the Indian peninsula of Tamil Nadu coast is potentially more vulnerable to hazards. This research aims to classify the coastal vulnerable zones of the Tuticorin, Tamil Nadu using Coastal Vulnerability Index (CVI). The multi-spectral satellite data of Landsat series was used for shoreline change analysis from 1978 to 2017. The Digital Shoreline Analysis System (DSAS) software extension was used to calculate the shoreline rate-of-change statistics from multiple historic shoreline positions developed by the United States Geological Survey. The study reveals significant erosion and accretion demarcated based on DSAS computed values along the coastal stretch. The six physical variables characterizing the vulnerability of the coast, including the geomorphology, shoreline change rate (m/yr), coastal slope (deg), relative sea-level change (mm/yr), mean wave height (m) and mean tide range (m). The geomorphology map was created using Landsat OLI satellite data in 1: 50,000 scale. The Shoreline change rate was calculated using temporal satellite data. Based on the CVI value, low vulnerable to very high vulnerable areas were identified. Besides, Vembar, Periyasamypuram, Vaippar, Kallurni, Pattanamarudur areas were identified in erosion. The Muttayyapuram coast has accretion by the consequence of sediment transport from the Thamiraparani estuary. The coastal zones are highly fragile for dynamic nature and resource. The sources of anthropogenic and natural processes are accelerating the erosion and accretion along the coast. Hence the vulnerability map prepared for the southeast coast of India and it can be most helpful for stakeholders and future coastal disaster mitigation and management.

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

2016 ◽  
Vol 27 (1) ◽  
pp. 99-108 ◽  
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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