scholarly journals PHÂN TÍCH BIẾN ĐỘNG ĐƯỜNG BỜ KHU VỰC BỜ BIỂN CỬA SÔNG HẬU BẰNG TƯ LIỆU VIỄN THÁM

2018 ◽  
Vol 17 (4) ◽  
pp. 386-392
Author(s):  
Nguyen Ngoc Tien ◽  
Do Huy Cuong ◽  
Dinh Van Uu ◽  
Nguyen Tho Sao ◽  
Tran Anh Tuan ◽  
...  
Keyword(s):  
Morphological Changes ◽  
River Mouth ◽  
Mekong Delta ◽  
Shoreline Change ◽  
Rate Of Change ◽  
River Mouth Area ◽  
Multi Temporal ◽  
Erosion Area ◽  
Analysis System ◽  
River Mouths

Multi-temporal Landsat data are used for this study over the period of 1989 to 2016 with imageries of 1989, 2001, 2009 and 2016. Band rationing method and threshold technique are applied for the coastline extraction. The Digital Shoreline Analysis System ENVI 5.1, eCognition and ArcGIS 10.3 are used to calculate shoreline rate-of-change statistics from multiple historical shoreline positions. The results show that shoreline change in the Hau river mouth area has a trend of deposition between 1989 and 2016 (27 years) with the accretion area ranging from 162.68 ha to 1,210.83 ha. Meanwhile, the erosion area only ranges from 0.002 ha to 183.53 ha. The results obtained from this study set a stage for new studies to understand the morphological changes of the river mouths in the Mekong Delta and coastal areas of Hau river.

scholarly journals Studi Laju Perubahan Garis Pantai di Pesisir Tenggara Bali Menggunakan Citra Satelit Landsat (Studi Kasus Kabupaten Gianyar dan Klungkung)

2017 ◽  
Vol 3 (2) ◽  
pp. 204
Author(s):  
I Nengah Jaya Nugraha ◽  
I Wayan Gede Astawa Karang ◽  
I Gusti Bagus Sila Dharma
Keyword(s):  
Landsat Imagery ◽  
Shoreline Change ◽  
Rate Of Change ◽  
Landsat 8 ◽  
Band Ratio ◽  
Preliminary Information ◽  
Landsat 7 ◽  
Combination Of Methods ◽  
Analysis System ◽  
The Impact

Erosion and abrasion are the events that led to the beach shoreline position changes. The impact of climate change is the rise in sea level also causes changes in the coastline. South East coast of Bali, especially along the coast Gianyar and Klungkung changing coastline. This study aims to identify and calculate the rate of shoreline change in Gianyar and Klungkung from 1995 to 2015. The study was a preliminary information shoreline change and do not analyze the causes such as tides, currents, waves, and wind. The method used remote sensing analysis with the extraction of the coastline from the Landsat 5 satellite images in 1995, Landsat 7 in 2005, and Landsat 8 2015. Landsat imagery analyzed by a combination of methods approach the threshold and band ratio of wave infrared and green. Image processing using software Quantum GIS 2.8 and System for Automated Geoscientific Analyses (SAGA) GIS 2.2, extention Digintal Shoreline Analysis System (DSAS) to make calculations transect coastline. The results of the analysis of overlaying identify coastline in Gianyar and Klungkung change at a rate that varies every village. The rate of change of coastline in Gianyar due to accretion between 0.5096 - 8.6074 m / yr, while due to erosion between -3.7343 to -1.3201 m / yr. The rate of change in Klungkung regency coastline due to accretion between 0.6337 - 2.6875 m / yr, while due to erosion between -8.8795 to -0.8833 m / yr.

scholarly journals 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

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.

scholarly journals Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Ca Mau, Vietnam

2013 ◽  
Vol 10 (12) ◽  
pp. 20047-20077
Author(s):  
V. Tran Thi ◽  
H. Phan Nguyen ◽  
A. Tien Thi Xuan ◽  
F. Dahdouh-Guebas ◽  
N. Koedam
Keyword(s):  
Shoreline Change ◽  
Rate Of Change ◽  
Coastal Development ◽  
East Sea ◽  
Gulf Of Thailand ◽  
Large Area ◽  
Ecosystem Boundaries ◽  
Advanced Planning ◽  
The Gulf Of Thailand ◽  
Analysis System

Abstract. Ca Mau at the southern tip of Vietnam supports a large area of mangroves and has a high value for biodiversity and scenic beauty. This area is affected by erosion along the East Sea and accretion along the Gulf of Thailand, leading to the loss of huge stretches of mangroves along the East Sea and, in some cases, loss of ecosystems services provided by mangroves. In this study, we used remotely sensed aerial (1953), Landsat (1979, 1988, and 2000) and SPOT (1992, 1995, 2004, 2008 and 2009, and 2011) images and the Digital Shoreline Analysis System (DSAS) to quantify the rate of mangrove shoreline change for a 58 yr period. There were 1129 transects sampled at 100 m intervals along the mangrove shoreline and two statistical methods, namely End Point Rate (EPR) and Linear Regression Rate (LRR), were used to calculate the rate of change of mangrove shorelines and distance from 1953 to 2011. The study confirms erosion and accretion respectively are significant at the Eastern and Western Sea sides of the Ca Mau tip. The East Sea side had a mean erosion LRR of 33.24 m yr−1. For the accretion trend at the Gulf of Thailand side averaged at rate of 40.65 m yr−1. The results are important in predicting changes of coastal ecosystem boundaries and enable advanced planning for specific sections of coastline, to minimize or neutralize losses, to inform provincial rehabilitation efforts and reduce threats to coastal development and human safety.

scholarly journals Dinamika perubahan garis pantai Kabupaten Kendal tahun 2000-2020

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.

THE INITIAL RESULTS OF THE SUSPENDED SEDIMENT DYNAMICS DURING THE DRY SEASON IN THE HAU RIVER MOUTH AREA

2017 ◽  
Vol 17 (2) ◽  
Author(s):  
Nguyen Ngoc Tien ◽  
Dinh Van Uu ◽  
Nguyen Tho Sao ◽  
Do Huy Cuong ◽  
Nguyen Trung Thanh ◽  
...  
Keyword(s):  
Suspended Sediment ◽  
River Mouth ◽  
Dry Season ◽  
Sediment Dynamics ◽  
Mouth Area ◽  
River Mouth Area ◽  
Initial Results

Shoreline Change Detection and Forecast along the Yancheng Coast Using a Digital Shoreline Analysis System

Wetlands ◽  
2021 ◽  
Vol 41 (4) ◽  
Author(s):  
Dandan Yan ◽  
Xiuying Yao ◽  
Jingtai Li ◽  
Liping Qi ◽  
Zhaoqing Luan
Keyword(s):  
Change Detection ◽  
Shoreline Change ◽  
Digital Shoreline Analysis System ◽  
Analysis System

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.

MORPHOLOGICAL CHANGES OF THE RIVER MOUTH SAND BAR AT THE KUMANO RIVER

2021 ◽  
Vol 77 (2) ◽  
pp. I_523-I_528
Author(s):  
Junya YAMAMOTO ◽  
Makoto NAKAMICHI ◽  
Masaaki HASHIMOTO ◽  
Jun KANETO ◽  
Tomokazu HIROSAWA ◽  
...  
Keyword(s):  
Morphological Changes ◽  
River Mouth ◽  
Sand Bar
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