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

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.

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End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR

10.20944/preprints202101.0082.v2 ◽

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

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End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10030162 ◽

2021 ◽

Vol 10 (3) ◽

pp. 162

Author(s):

Lucas Terres de Lima ◽

Sandra Fernández-Fernández ◽

Jean Marcel de Almeida Espinoza ◽

Miguel da Guia Albuquerque ◽

Cristina Bernardes

Keyword(s):

Open Source ◽

Shoreline Change ◽

End Point ◽

Free Extension ◽

The Us ◽

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 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); since it is a robust and powerful tool, the complexity can restrict the accessibility and simple usage. The validation methodology consists of applying the EPR4Q, DSAS, and AMBUR with different types of shorelines found in nature, extracted from the US Geological Survey Open-File. The obtained results of each tool were compared with Pearson’s correlation coefficient. The validation results indicate that the EPR4Q tool acquired high correlation values with DSAS and AMBUR, reaching a coefficient of 0.98 to 1.00 on linear, extensive, and non-extensive shorelines, proving that the EPR4Q tool is ready to be freely used by the academic, scientific, engineering, and coastal managers communities worldwide.

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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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APLIKASI CITRA LANDSAT DALAM ANALISA PERUBAHAN GARIS PANTAI (Studi Kasus di Pesisir Sayung, Kabupaten Demak, Jawa Tengah)

Seminar Nasional Geomatika ◽

10.24895/sng.2018.3-0.1058 ◽

2019 ◽

Vol 3 ◽

pp. 919

Author(s):

Khairul Umami ◽

Syawaludin A. Harahap ◽

Mega Laksmini Syamsudin ◽

Sunarto Sunarto

Keyword(s):

End Point ◽

Digital Shoreline Analysis System ◽

Landsat 7 ◽

Analysis System ◽

End Point Rate

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 bersumber dari citra Landsat 7 dan 8 dalam kurun waktu 10 tahun dari tahun 2006 sampai 2016. Metode yang digunakan yaitu metode deskriptif dengan menjelaskan masalah yang terjadi pada lokasi penelitian dengan pendekatan pemodelan dan sistematis. Metode analisis perubahan garis pantai dilakukan dalam program Digital Shoreline Analysis System (DSAS) dengan pendekatan statistik End Point Rate (EPR) dan Net Shorline Movement (NSM). Hasil penelitian menunjukkan bahwa perubahan garis pantai di pesisir Sayung didominasi dengan kejadian abrasi yang sangat tinggi dengan luasan abrasi bernilai 116,48 hektar. Abrasi maksimum terjadi di Desa Timbulsloko, Abrasi minimum terjadi di Desa Sriwulan, Akresi maksimum terjadi di Desa Sriwulan, dan Akresi minimum terjadi di Desa Bedono.

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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 ◽

10.25303/1411da1324 ◽

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.

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Deteksi Perubahan Garis Pantai di Pesisir Kabupaten Karawang dengan Aplikasi Digital Shoreline Analysis System (DSAS)

REKA GEOMATIKA ◽

10.26760/jrg.v2018i2.2629 ◽

2020 ◽

Vol 2019 (1) ◽

Author(s):

Akhmad Rifai Setiabudi ◽

Thonas Indra Maryanto

Keyword(s):

Statistical Method ◽

Community Life ◽

Total Length ◽

End Point ◽

Coastline Change ◽

It Impacts ◽

Digital Shoreline Analysis System ◽

Analysis System ◽

End Point Rate

ABSTRAKPerubahan garis pantai di wilayah pesisir Kabupaten Karawang hampir mencapai 50% dari panjang garis pantai yang ada saat ini. Perubahan dalam bentuk abrasi dan akresi ini berdampak pada 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 aplikasi Digital Shoreline Analysis System (DSAS) dengan metode statistik Net Shoreline Movement (NSM) dan End Point Rate (EPR). Abrasi terparah terjadi pada segmen 5 di Kecamatan Tirtajaya dan akresi terparah terjadi pada segmen 16 di Kecamatan Cilamaya Wetan. Rata – rata abrasi dari tahun 1990-2018 di pesisir Kabupaten Karawang mencapai 101,28 m dengan laju 3,64 m/tahun. Sedangkan, untuk akresi mencapai 195,63 m dengan laju 7,04 m/tahun. Perbedaan waktu pengamatan dalam analisis perubahan garis pantai dalam penelitian ini dengan penelitian sebelumnya, memberikan hasil berkesesuaian dengan penelitian sejenis sebelumnya, untuk wilayah yang sama.Kata Kunci: garis pantai, DSAS, Kabupaten Karawang, abrasi, akresiABSTRACTCoastline of Karawang Regency changes almost 50% from total length of the coastline. The change is process of abrasion and accretion and it impacts quality of community life in the area. This tudy aims to calculate coastline change in term length of distance and its speed. The calculation uses Digital Shoreline Analysis System (DSAS) with statistical method of Net Shoreline Movement (NSM) and End Point Rate (EPR). Maximum abrasion occurs in segment 5 of Tirtajaya District and maximum accretion occurs in segment 16 of Cilamaya Wetan District. Averaged coastline changes from years of 1990-2018 showed that abrasion has length of 101,28 m and the speed is 3,64 m/year. Meanwhile, accretion has length of 195,63 m and the speed is 7,04 m/year. This research observes the coastline change in different years with other earlier studies, and the results showed agreement with similar studies in the same area.Keywords: coastline, DSAS, Karawang Regency, abrasion, accretion

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Analisis Perubahan Garis Pantai Kabupaten Padang Pariaman dan Kota Pariaman Tahun 1988-2018 Menggunakan Digital Shoreline Analysis System (DSAS)

JURNAL BUANA ◽

10.24036/student.v3i5.597 ◽

2019 ◽

Vol 3 (5) ◽

pp. 1056

Author(s):

Ladisa Syaharani ◽

Triyatno Triyatno

Keyword(s):

End Point ◽

Digital Shoreline Analysis System ◽

Analysis System ◽

End Point Rate

Penelitian ini bertujuan untuk 1) menganalisis perubahan garis pantai tahun 1988, 2003, 2018 dan 2) mengetahui luas perubahan garis pantai tahun 1988, 2003, 2018. Jenis penelitian ini adalah deskriptif kuantitatif. Dalam menganalisis perubahan garis pantai metode yang digunakan yaitu Digital Shoreline Analysis System (DSAS). Metode perubahan garis pantai yang digunakan pada DSAS yaitu Net Shoreline Movement (NSM) dan End Point Rate (EPR). Metode untuk menghitung luas perubahan garis pantai yaitu overlay kemudian dihitung melalui calculate geometry. Hasil penelitian menunjukkan bahwa 1) Laju abrasi pada tahun 1988-2003 mencapai -2.88 m/th dengan rata-rata jarak perubahan garis pantai yaitu -43.9 m sementara laju akresi yang terjadi sebesar 1.64 m/th dengan rata-rata jarak perubahan garis pantai 25.04 m. Tahun 2003-2018 laju abrasi yang terjadi yaitu -2.76 m/th dengan jarak perubahan garis pantai -42.37 m. Tahun 1988-2018 besar laju abrasi yang terjadi yaitu -1.98 m/th dengan rata-rata jarak perubahan garis pantai -34.39 m. laju akresi pada tahun 2003-2018 dan 1988-2018 yaitu sebesar 1.12 m/th dengan rata-rata jarak perubahan garis pantai sebesar 17.23 m dan 34.39 m. 2) Pada tahun 1988-2003 abrasi terjadi seluas 140.84 ha, pada tahun 2003-2018 luas abrasi yang terjadi meningkat yaitu 211.35 ha. Pada tahun 1988-2018 abrasi yang terjadi mencapai 305.12 ha. Luas akresi yang terjadi pada tahun 1988-2003 sebesar 54.35 ha, sementara pada tahun 2003-2018 luas akresi menurun menjadi 9.83 ha dan pada tahun 1988-2018 akresi terjadi seluas 17.24 ha.

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