scholarly journals A Digital Shoreline Analysis System (DSAS) applied on mangrove shoreline changes along the Giao Thuy coastal area (Nam Dinh, Vietnam) during 2005-2014

Author(s):  
Nguyen An Thinh* ◽  
Luc Hens
2021 ◽  
Vol 24 (3) ◽  
pp. 302-310
Author(s):  
Dwi Fajriyati Inaku ◽  
Nurjannah Nurdin ◽  
Dewi Yanuarita Satari

Detection of shoreline changes needs to be done to determine changes so that supervision and management planning in a coastal area can be carried out, one of which is on the coast of Takalar Regency, South Sulawesi. This study aims to map changes in the coastline in Takalar Regency in different seasons and to see the effect of the waves on these changes. This study uses Landsat satellite imagery data from 1998-2018, and wave data obtained from Copernicus Marine Environment Monitoring Services (CMEMS). The shoreline data extraction was using the combination of single band and band ratio approach while the shoreline change rate calculation was using the Digital Shoreline Analysis System (DSAS) application. In addition, GeoDa application was used to obtain the regression analysis of the effect of waves on shoreline changes. The results showed that there were similar patterns of shoreline changes between monsoon and west monsoon, although the value were different. Coastal erosion occurs in almost all Takalar coastal area. Some areas that have a high coastal erosion value were the sub-district of South Galesong and Mappakasunggu while the areas that have a high accretion value were the sub-districts of Sanrobone, Mappakasunggu, and Mangarabombang. The waves had a significant influence on changes in shoreline in both the monsoon and west monsoon (P <0.05) with a percentage of 17,2% for the monsoon and 7.3% for the west monsoon which indicated there were other factors that influence shoreline change besides the wave factor on the Takalar Coast. Deteksi perubahan garis pantai perlu dilakukan dalam rangka pengawasan dan perencanaan pengelolaan di suatu kawasan, salah satunya di Pesisir Kabupaten Takalar, Sulawesi Selatan. Penelitian ini bertujuan untuk memetakan perubahan garis pantai di Kabupaten Takalar berdasarkan musim dan melihat pengaruh gelombang terhadap perubahan tersebut. Penelitian ini menggunakan data Citra Satelit Landsat tahun 1998-2018, dan data gelombang yang diperoleh dari Copernicus Marine Environment Monitoring Services (CMEMS). Ekstraksi data garis pantai menggunakan pendekatan perkalian single band dan ratio band sedangkan perhitungan laju perubahan garis pantai menggunakan aplikasi Digital Shoreline Analysis System (DSAS). Analisis regresi untuk melihat pengaruh gelombang terhadap perubahan garis pantai menggunakan aplikasi GeoDa. Hasil penelitian menunjukkan terdapat pola yang hampir sama antara perubahan garis pantai musim timur dan musim barat meskipun dengan besaran yang berbeda. Abrasi terjadi hampir di seluruh Pesisir Takalar. Daerah yang memiliki nilai abrasi yang tinggi yaitu Kecamatan Galesong Selatan dan Mappakasunggu sedangkan daerah yang memiliki nilai akresi tinggi yaitu Kecamatan Sanrobone, Mappakasunggu, dan Mangarabombang. Gelombang memberikan pengaruh yang signifikan terhadap perubahan garis pantai baik pada musim timur maupun barat (P<0,05) dengan persentase 17,2% untuk musim timur dan 7,3% untuk musim barat yang mengindikasikan terdapat faktor lain yang ikut mempengaruhi perubahan garis pantai selain faktor gelombang di Pesisir Takalar.


2021 ◽  
Vol 14 (11) ◽  
pp. 13-24
Author(s):  
Anh Tu Ngo ◽  
Stéphane Grivel ◽  
Thai Le Phan ◽  
Huu Xuan Nguyen ◽  
Trong Doi Nguyen

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.


Omni-Akuatika ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 90
Author(s):  
Abdurrahman Al Farrizi ◽  
Ankiq Taofiqurohman ◽  
Subiyanto Subiyanto

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


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

<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>


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

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


2021 ◽  
Vol 10 (2) ◽  
pp. 299-305
Author(s):  
Yualita Prasida Ramadhani ◽  
Ibnu Praktikto ◽  
Chrisna Adhi Suryono

Wilayah pesisir Kabupaten Demak yang terletak di bagian utara Pantai Jawa merupakan yang rentan terhadap perubahan garis pantai. Perubahan yang serius ini perlu dilakukan pemantauan terus menurus. Penelitian ini dilakukan untuk memperoleh informasi tentang perubahan garis pantai yang disebabkan oleh tingkat abrasi dan akresi yang terjadi di Kecamatan Sayung, Kabupaten Demak pada tahun 2013-2020. Metode penelitian ini dengan menggunakan metode deskriptif studi kasus dengan menggunakan teknologi penginderaan jauh. Metode penginderaan jauh yang digunakan untuk mengetahui perubahan garis pantai adalah dengan metode overlay (tumpang susun) garis pantai pada tahun yang berbeda dan Digital Shoreline Analysis System (DSAS). Hasil penelitian menunjukkan garis pantai Kecamatan Sayung dengan panjang pantai 20.953,59 m, telah mengalami abrasi pantai seluas 141,49 ha dan akresi sebesar 36,61 ha. Sehingga persentase tingkat abrasi sebesar 82% dan akresi sebesar 18%. Secara keseluruhan, rata-rata laju abrasi yang terjadi dalam kurun waktu periode 2013-2020 adalah sebesar 13,08 meter/tahun dan laju akresi sebesar 8,22 meter/tahun. Perubahan garis pantai yang terjadi dari tahun 2013 hingga tahun 2020 lebih banyak mengalami abrasi jika dibandingkan dengan akresi. The coastal area of Demak Regency, which is located on the northern coast of Java, is  vulnerable to shoreline changes. This serious change is necessary for ongoing monitoring. This research was conducted to obtain information about coastline change in coastal Sayung District of Demak Regency in 2013 until 2020. This research method is done by using descriptive method of case study by using remote sensing technology. The remote sensing method used to determine shoreline changes is overlay method and Digital Shoreline Analysis System (DSAS) in different years. Based on the research results can be seen the rate of change of coastline length of 20.953,59 m, shoreline changes that occur in the form of abrasion of 141,49 ha and changes in the form of accretion of 36,61 ha. So that the proportion of the abrasion rate is 82% and the accretion is 18%.Overall, the average rate of abrasion that occurred in the 2013-2020 period was 13.08 meters / year and the accretion rate was 8.22 meters / year. Coastlines that occur from 2013 to 2020 more experienced abrasion process when compared to the accretion process.


2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Andik Isdianto ◽  
Ilham Maulana Asyari ◽  
Muchamad Fairuz Haykal ◽  
Faradhilah Adibah ◽  
Muhammad Javier Irsyad ◽  
...  

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.


2016 ◽  
Vol 27 (1) ◽  
pp. 99-108 ◽  
Author(s):  
Md Ashraful Islam ◽  
Md Shakhawat Hossain ◽  
Tanzeer Hasan ◽  
Sanzida Murshed

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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