Shoreline Change and Rate Analysis of Gulf of Khambhat Using Satellite Images

2021 ◽  
pp. 151-170
Author(s):  
Keval Jodhani ◽  
Pulkit Bansal ◽  
Priyadarshna Jain
Keyword(s):  
Satellite Images ◽  
Shoreline Change ◽  
Rate Analysis

scholarly journals ANALISIS SPASIAL PERUBAHAN GARIS PANTAI DI PESISIR KABUPATEN SUBANG, JAWA BARAT

2012 ◽  
Vol 8 (3) ◽  
pp. 75 ◽  
Author(s):  
Ankiq Taofiqurohman ◽  
Mochamad Furqon Azis Ismail
Keyword(s):  
Satellite Images ◽  
Field Survey ◽  
Shoreline Change ◽  
Landsat Tm ◽  
Residential Construction ◽  
Shoreline Changes ◽  
Digital Shoreline Analysis System ◽  
Analysis System ◽  
Images Processing ◽  
System Program

Pengamatan mengenai perubahan garis pantai di pesisir Kabupaten Subang, Jawa Barat telah dilakukan dengan menggunakan program Digital Shoreline Analysis System berdasarkan citra satelit Landsat TM dari tahun 1996–2010. Tujuan dari penelitian ini adalah untuk mengetahui besar perubahan garis pantai di Kabupaten Subang serta zonasi kawasan yang mengalami perubahan garis pantai tersebut. Metode yang digunakan adalah pemprosesan citra dan survey lapangan. Hasil dari penelitian ini menunjukkan bahwa dari tahun 1996–2010 perairan pesisir Kabupaten Subang mengalami perubahan garis pantai oleh adanya akresi dan abrasi yang maksimalnya sejauh lebih dari 1 km. Hasil analisis regresi antara perubahan waktu dengan akresi serta abrasi memberikan nilai positif. Secara keseluruhan, lebih dari 50% panjang pesisir Kabupaten Subang dikategorikan dalam kerusakan yang parah. Perubahan garis pantai di Pesisir Kabupaten Subang terjadi terutama karena kegiatan pembangunan di sekitar pesisir seperti pembukaan lahan mangrove menjadi tambak dan sawah, pembangunan pemukiman, serta transpor sedimen dari sungai-sungai di kawasan pesisir Kabupaten Subang. Kata kunci: perubahan garis pantai, Kabupaten Subang, citra satelit, akresi, abrasi.   Observation of coastal shoreline changes in the Subang District was conducted using Digital Shoreline Analysis System Program based on the satellite images of Landsat TM from 1996 to 2010. The purpose of this study was to determine the distance of shoreline change and the zoning area in the Coastal of Subang District. Methods used in this study were images processing and field survey. The results of the study indicated the presence of shoreline changes which experienced maximum accretion and abrasion of more than 1 km between 1996 to 2010. The results of regression analysis between time and accretion as well as time and abrasion showed positive correlation. More than 50% the coastal area of Kabupaten Subang was in severely damaged con­dition. Coastal shoreline change in Kabupaten Subang occurred mainly due to the developmental activities such as residential construction, coastal mangrove conversion to ponds and rice paddies and sediment transport from the river around Kabupaten Subang. Keywords: shoreline change, Subang District, satellite images, accretion, abrasion.

scholarly journals Evaluation of the changes of the shoreline in Cua Tung in Quang Tri province before and after the construction of groin on the south riverbank of Ben Hai river

2020 ◽  
Vol 19 (4) ◽  
pp. 479-487
Author(s):  
Trinh Thi Giao Chau ◽  
Hoang Thi Binh Minh ◽  
Hoang Ngoc Lin
Keyword(s):  
Satellite Images ◽  
Shoreline Change ◽  
Image Method ◽  
The South ◽  
Gis And Remote Sensing ◽  
Ratio Image ◽  
Before And After ◽  
Analysis System ◽  
Landsat Satellite ◽  
Economic Sustainable Development

The process of erosion-sedimentation of Cua Tung, Quang Tri province has been mentioned in previous studies, but there have been no studies that apply satellite images to evaluate the changes of shoreline before and after the construction of groin along the south of Ben Hai river. This paper aims to evaluate the changes and rate of erosion - sedimentation of Cua Tung shoreline before and after the construction, using Landsat satellite images from 1990 to 2017. We used Envi 5.0 to analyse and interpret multiple-spectral Landsat satellite images in combination with analysis algorithm to identify the shoreline change over the years by adopting the ratio image method by Gathot Winasor to separate water zone and shoreline zone automatically. We then calculated the rate of shoreline changes by the function DSAS (Digital Shoreline Analysis System) proposed by Thieler et al., in Avenue programming language in ArcView software. The results showed that the process of erosion-sedimentation in Cua Tung-Quang Tri from 1990 to 2017 was divided into 6 stages in which the stage of 2000–2005 had the clearest indication in the process of erosion-sedimentation. This research has demonstrated that GIS and remote sensing technologies have been good tools to assist policy maker in their decision-making to properly evaluate erosion-sedimentation in Cua Tung- Quang Tri, so that appropriate solutions will be delivered to guarantee the local socio-economic sustainable development.

scholarly journals Exploring the Ever-Changing Seashore Using Geoinformatics Technology

Earth ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 544-555
Author(s):  
Ibra Lebbe Mohamed Zahir ◽  
Buddhika Madurapperuma ◽  
Atham Lebbe Iyoob ◽  
Kafoor Nijamir
Keyword(s):  
Coastal Zone ◽  
Satellite Images ◽  
Coastal Zone Management ◽  
Ground Truth ◽  
Shoreline Change ◽  
Modern Technology ◽  
Google Earth ◽  
Coastal Protection ◽  
Threshold Method ◽  
Zone Management

Detecting coastal morphodynamics is a crucial task for monitoring shoreline changes and coastal zone management. However, modern technology viz., Geoinformatics paves the way for long-term monitoring and observation with precise output. Therefore, this study aimed to produce explicit shoreline change maps and analyze the historical changes of the coastline at the east coast of the Ampara District in Sri Lanka. The histogram threshold method is used to extract data from satellite images. The time-series satellite images, acquired from 1987 to 2017, toposheet, and Google Earth historical images were compared having adjusted with the ground-truth to find the seashore changes in the study area. The histogram threshold method is used on band 5 (mid-infrared) for separating land from water pixels which means that the water pixel values were classified to one (1) and land pixel values to zero (0). The extracted shoreline vectors were associated with each other to determine the dynamics of changing shoreline of the study area. The Digital Shoreline Analysis System (DSAS) was used to find shoreline movements for each period of time. As a result, it was observed by the cross-section analysis within 100 m shoreline—seaward range along the study area—in which severe erosion has occurred northward of the Oluvil Harbor and anomalous accretion southward of the harbor because of the breakwaters constructed in the port entrance which hinder the long shore sediment transport along the study area. This situation has resulted in many ramifications to the coastal zone of the study area in socio-economic and environmental aspects in which the coastal protection mechanisms have not been well implemented to curb such issues.

scholarly journals Evaluation of shoreline change using multitemporal satellite images

2021 ◽  
Vol 731 (1) ◽  
pp. 012006
Author(s):  
Khomsin ◽  
D G Pratomo ◽  
F A Pramudya
Keyword(s):  
Satellite Images ◽  
Shoreline Change

Shoreline Change Observations in Gulf of Khambhat using Satellite Images

2020 ◽  
Author(s):  
Keval Jodhani ◽  
Pulkit Bansal ◽  
Priyadarshna Jain
Keyword(s):  
Satellite Images ◽  
Shoreline Change

scholarly journals ASSESSING SHORELINE CHANGE USING SATELLITE-DERIVED SHORELINES IN PROGRESO, YUCATÁN, MÉXICO

2012 ◽  
Vol 1 (33) ◽  
pp. 79
Author(s):  
Gabriela Garcia-Rubio ◽  
David Huntley ◽  
Paul Russsell
Keyword(s):  
Satellite Images ◽  
Shoreline Change ◽  
Valuable Resource ◽  
Confidence Bounds ◽  
Temporal Scales ◽  
Rates Of Change ◽  
Optical Satellite Images

Assessment of shoreline change during a six-year period using Satellite-Derived Shorelines (SDS) was carried out in Progreso, Yucatán, México. Confidence bounds for the SDS were defined based on the deviation between quasi-simultaneous in situ shoreline measurements and SDS. The main objective of this paper is to show that optical satellite images are a valuable resource to study shoreline change covering large geographical scales (>10km), as well as short (5 years) temporal scales. This approach can be particularly useful for those areas with a lack of shoreline records. The results presented here show that detection of differences between seasons and years is achievable using SDS. Furthermore, rates of change are also possible to assess.

scholarly journals Analysis of shoreline changes along the coast of Tiruvallur district, Tamil Nadu, India

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
K. Jayakumar
Keyword(s):  
Tamil Nadu ◽  
Satellite Images ◽  
High Tide ◽  
Ground Truth ◽  
Shoreline Change ◽  
Topographic Maps ◽  
Time Interval ◽  
Visual Interpretation ◽  
Pulicat Lake ◽  
Erosion And Accretion

Shoreline change is considered as one of the most dynamic process, which was mapped along the coast of Tiruvallur district by using topographic maps of 1976 and multi-temporal satellite images. The satellite images were pertaining to 1988, 1991, 2006, 2010, 2013 and 2016 which were used to extract the shorelines. It is important to map and monitor the HTL (High Tide line) at frequent time interval as it considered as shoreline, which was demarcated by using visual interpretation technique from satellite images and topographic maps. Followed by this, an overlay analysis was performed to calculate areas of erosion and accretion in the study area. The results revealed that the coast of Tiruvallur district lost 603 ha and gained 630 ha due to erosion and accretion respectively. It was confirmed after the ground truth survey carried out in the study area. The high accretion of 178 ha was found nearby Pulicat Lake and low accretion of 19 ha seen between Pulicat lake to Kattupali port. The high erosion area was found along the Pulicat lake, Kattupali and Ennore ports, and Ennore creek mouth and south of Ennore such as Periya Kuppam, Chinna Kuppam, Kasi Koil Kuppam, and Thyagarajapuram. It may be concluded that the main causes of coastal erosion and accretion in the study area are anthropogenic and natural factors, which alter the coastal environment. 

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