Perubahan Garis Pantai Menggunakan Citra Satelit Landsat di Pesisir Kecamatan Sayung, Kabupaten Demak

2021 ◽  
Vol 10 (2) ◽  
pp. 299-305
Author(s):  
Yualita Prasida Ramadhani ◽  
Ibnu Praktikto ◽  
Chrisna Adhi Suryono
Keyword(s):  
Remote Sensing ◽  
Average Rate ◽  
Rate Of Change ◽  
Northern Coast ◽  
Shoreline Changes ◽  
Coastline Change ◽  
Sensing Technology ◽  
Digital Shoreline Analysis System ◽  
Analysis System

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.

scholarly journals Spatial Analysis of Coastline Change by Remote Sensing in the North Coast of Karawang Regency

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Roberto Pasaribu ◽  
Firman Agus H. ◽  
Liliek Soeprijadi
Keyword(s):  
Shoreline Change ◽  
Rate Of Change ◽  
North Coast ◽  
Landsat 8 ◽  
Northern Coast ◽  
Shoreline Changes ◽  
The Road ◽  
Coastline Change ◽  
The North ◽  
Landsat 7

<p><em>The existence of the coast in the northern part of Karawang Regency is very worrying. Seawater<strong> </strong>that was far up to tens of meters from the side of the road, is now on the lip of the road, even some parts of the road are cut off due to abrasion of seawater. Some villages were affected by abrasion erosion. One of the effects of damage due to abrasion and sedimentation is the occurrence of shoreline changes. This change in coastline will affect people's lives and spatial planning for the development of the area. For this reason, this study aims to determine the extent and rate of shoreline changes that occurred on the coast of Karawang Regency in the periods of 1989, 1995, 2001, 2005, 2009, 2016, and 2018. The shoreline data was obtained from the extraction of Landsat 3 MSS, Landsat 5 TM, Landsat 7 ETM +, and Landsat 8 </em><em>OLI</em>-<em>TIRS after the NDWI process was previously carried out. While the rate of change is calculated at 6 sample point locations scattered along the northern coast of Karawang Regency. The results showed that the largest area damaged by abrasion occurred in Sedari Village covering an area of 166.802 hectares, and the area formed by the largest sedimentation occurred in Muara Cilamaya Village at 276,318 hectares. Meanwhile, the fastest rate of shoreline change due to abrasion occurred in Sukajaya Village at 10 meters </em>/<em>year, while the slowest in Sedari Village at 3.77 meters / year. The fastest sedimentation process in Muara Cimalaya Village is 4.5 meters / year, while the late one in Tanjung Pakis Village is 3.09 meters / year.</em><em></em></p><p><strong><em>Keywords: </em></strong><em>Abra</em><em>sion, Accretion, Coastline Changes, Karawang</em><em></em></p>

scholarly journals DINAMIKA PERUBAHAN GARIS PANTAI DI PESISIR DESA SURODADI KECAMATAN SAYUNG DENGAN MENGGUNAKAN CITRA SATELIT (Dynamics of Coastal Line Changes in the Surodadi Village of Sayung Sub District by Using Satellite Imagery)

2018 ◽  
Vol 6 (4) ◽  
pp. 433-441
Author(s):  
Aulia Huda Riyanti ◽  
Agung Suryanto ◽  
Churun Ain
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Sea Water ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Image Data ◽  
Rate Of Change ◽  
Research Station ◽  
Shoreline Changes ◽  
Coastline Change

Garis pantai Desa Surodadi mengalami perubahan dari tahun ke tahun. Perubahan yang serius ini perlu untuk dilakukan pemantauan terus menerus. Penelitian ini dilakukan untuk memperoleh informasi tentang perubahan garis pantai dan kaitannya dengan tutupan lahan di pesisir Desa Surodadi Kecamatan Sayung Kabupaten Demak pada tahun 2015 dan 2016. Penelitian ini dilaksanakan pada bulan Mei sampai dengan Juni 2017. Stasiun penelitian dibagi menjadi lima stasiun berdasarkan lokasi abrasi dan akresi yang telah terjadi. Dengan proses overlay kedua data citra satelit melalui sistem informasi geografis merupakan cara cepat untuk mengetahui perubahan garis pantai yang terjadi pada pesisir Desa Surodadi. Metode penelitian ini dengan menggunakan metode deskriptif studi kasus dengan menggunakan teknologi penginderaan jauh pada pengolahan data citra SPOT 6 tahun 2015 dan tahun 2016 yang diperoleh dari Pusat Teknologi dan Data Penginderaan Jauh LAPAN Jakarta serta dilakukan survei lapangan sehingga diperoleh laju perubahan garis pantai serta tutupan lahan yang terdapat pada lokasi penelitian. Garis pantai yang terjadi dari tahun 2015 sampai tahun 2016 lebih banyak mengalami proses abrasi jika dibandingkan proses akresi. Berdasarkan hasil penelitian dapat diketahui laju perubahan panjang garis pantai sebesar 103,58 m, perubahan garis pantai yang terjadi berupa abrasi sebesar 1,197 ha dan perubahan yang berupa akresi sebesar 0,490 ha. Keterkaitan antara perubahan garis pantai dengan tutupan lahan di Desa Surodadi adalah tutupan mangrove yang ada cukup luas dan relatif rapat sehingga dapat mencegah intrusi air laut yang dapat menyebabkan perubahan garis pantai. Surodadi village coastline changes from year to year. This serious change is necessary for ongoing monitoring. This research was conducted to obtain information about coastline change and its relation to land cover in coastal village of Surodadi Sub-District of Sayung Regency of Demak in 2015 until 2016. This research was conducted from May to June 2017. The research station is divided into five stations based on the location of abrasion and Accretion that has occurred. With the second overlay process satellite image data through geographic information system is a quick way to find out the shoreline changes that occur in the coastal village of Surodadi. This research method is done by using descriptive method of case study by using remote sensing technology on SPOT image data processing of 6 year 2015 and year 2016 which obtained from Center of Technology and Remote Sensing Data of LAPAN Jakarta and conducted field survey so that obtained rate of change of coastline happened also Land cover located at the research location. Coastlines that occur from 2015 to 2016 more experienced abrasion process when compared to the accretion process. Based on the research results can be seen the rate of change of coastline length of 103.58 m, shoreline changes that occur in the form of abrasion of 1.197 ha and changes in the form of accretion of 0.490 ha. The link between coastline change and land cover in Surodadi Village is that the mangrove cover is wide enough and relatively close so it can prevent the intrusion of sea water which can cause coastline changes.

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 Analysis Comparison of Algorithms for Determination Concentration of Chlorophyll-a in Traditional and Intensive Milkfish Ponds Using LANDSAT 8 Images

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Nurhadi Bashit ◽  
Abdi Sukmono ◽  
Baskoro Agum Gumelar
Keyword(s):  
Remote Sensing ◽  
Chlorophyll A ◽  
Coastal Area ◽  
Average Concentration ◽  
The Body ◽  
Landsat 8 ◽  
Northern Coast ◽  
Fish Production ◽  
Remote Sensing Technology ◽  
Sensing Technology

Indonesia is an Archipelago Country because the Country of Indonesia consists of many islands stretching from Sabang in the west to the island of Merauke on the east. The Archipelago Country also comes from the old name of the Indonesian Country called Nusantara, because Nusantara is a country that consists of many islands. Indonesia is an Archipelago Country which means it has potential resources in the coastal areas, one of which is found on the northern coast of Java. The coastal area is an important area to be reviewed, one of which is the use of coastal resources by paying attention to the condition of the ecosystem that remains stable. Opportunities for coastal area utilization in the field of fisheries are in the form of fishing activities or fish farming, especially pond cultivation activities. Based on data from the Department of Marine and Fisheries of the Province of Central Java in 2010, pond cultivation is one of the potential resources on the coast. This potential is supported by the government to increase fish production in order to increase the consumption of fish in the community. Therefore, it is necessary to choose the most effective method of pond cultivation between traditional methods and intensive methods to optimize fish production. One indicator of effectiveness between the two methods can be seen from the phytoplankton distribution. Phytoplankton contains chlorophyll-a in the body and is a natural food from fish. Phytoplankton provides important ecological functions for the aquatic life cycle by serving as the basis of food webs in water. Phytoplankton also functions as the main food item in freshwater fish culture and seawater fish cultivation. Therefore, it is necessary to know the chlorophyll-a concentration in the ponds of traditional and intensive methods to determine the concentration chlorophyll-a of the two pond methods. One method used to determine the concentration of chlorophyll-a using remote sensing technology. Remote sensing technology can be used to determine the concentration of chlorophyll-a using the Wouthuyzen, Wibowo, Pentury, Much Jisin Arief and Lestari Laksmi algorithms. The results showed that the Pentury algorithm was relatively better to determine the concentration of chlorophyll-a in shallow waters (ponds). The lowest concentration of chlorophyll-a in traditional ponds is 0.47068 mg/m3, the highest concentration is 1.95017 mg/m3 and the average concentration is 1.12893 mg/m3, while in intensive ponds the lowest concentration is 0.36713 mg/m3, the concentration the highest is 3.17063 mg/m3 and the average concentration is 1.53556 mg/m3.

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

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 

scholarly journals Impact of sea level rise and shoreline changes in the tropical island ecosystem of Andaman and Nicobar region, India

2021 ◽  
Author(s):  
mageswaran thangaraj ◽  
Sachithanandam V ◽  
Sridhar R ◽  
Manik Mahapatra ◽  
R Purvaja ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sea Level Rise ◽  
Sea Level ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Andaman Island ◽  
Shoreline Changes ◽  
Digital Elevation ◽  
Analysis System ◽  
Elevation Model

Abstract We report here a four decades of shoreline changes and possible sea level rise (SLR) impact on landuse/landcover (LULC) in Little Andaman Island by using remote sensing (RS) and GIS techniques. A total of six remote sensing data sets covering years between 1976 and 2018 were used to understand the shoreline changes. Moreover, a Digital Shoreline Analysis System (DSAS) was used to estimate short- and long- term shoreline changes from ArcGIS environment. Besides, the Island vulnerability due to SLR was studied through using digital elevation model (DEM). As a result of Sumatra earthquake (2004), the results were showed a significant variation in shorline upliftment and subsidence. The land subsidence was noticed in the range of 1042-3077 ha with sea level rise between 1 and 5 m. Hence, we conclude that Little Andaman Island is vulnerable to SLR and overwhelm low elvation coastal zone.

scholarly journals EXTRACTING THE WATERLINE FROM LANDSAT IMAGES

2009 ◽  
Vol 12 (12) ◽  
pp. 52-58
Author(s):  
Thao Thi Phuong Pham ◽  
Duan Dinh Ho ◽  
To Van Dang
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Numerical Models ◽  
Scientific Research ◽  
Remote Sensing And Gis ◽  
Landsat Images ◽  
Shoreline Changes ◽  
Remote Sensing Technology ◽  
Spectral Bands ◽  
Sensing Technology

Remote sensing technology nowadays is one of the most useful tools for scientific research in general and for oceanography in particular. From satellite images, the useful information such as waterline images can be extracte for a large region simultaneously. After tidal adjustments, the waterlines can be used as the observed shorelines which are important inputs for estimating shoreline changes by either using the integration of remote sensing and GIS or using numerical models. Based on the spectral bands of various Landsat images, the paper presents the methods to detect the waterlines in Phan Thiet region in the 40 years period using the images of 1973, 1976, 1990, and 2002 respectively. The extracted results relatively agree with the information of waterline from the images.

Sign in / Sign up

Export Citation Format

Share Document