Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India

Natarajan, Logesh; Sivagnanam, Nagulan; Usha, Tune; Lakshumanan, C.; Sundar, Sajimol; Muthusankar, G.; Roy, Priyadarsi D.

doi:10.1007/s12145-021-00668-5

Cited by 38 publications

(12 citation statements)

References 31 publications

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“…The locations of this research were chosen based on sea level rise conditions, with 19 islands representing the 92 outermost small islands of Indonesia [2,12]. The study was conducted for 20 years, starting from 2000 to 2020 Figure 1, Table 1.…”

Section: Methodsmentioning

confidence: 99%

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The vulnerability of Small Islands from Coastlines Change in Indonesia

Rahmadi

Liviawaty

Faizal

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Indonesia has 16.100 islands and 92 is outermost islands. These small islands are currently experiencing the impact of climate change from sea level rise and global warming. This study aims to determine vulnerability of small island through changes in coastline and dynamic change of area due to climate change especially from coastline changes. Nineteen islands selected as representation of Indonesia seas regions. The data were collected from satellite images range from 2000 to 2020. To analyze, this research method uses Coastsat method to detect coastlines and QGIS to process coastline data and change of the island areas. The results of this study indicate that the average reduction in the area of small islands in Indonesia reaches 5.084% for approximately 20 years. Overall, the change in the area shows that most of the small outermost islands in Indonesia have Medium vulnerability

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Section: Methodsmentioning

confidence: 99%

“…Many studies revealed the importance of geospatial technologies in estimating shoreline changes by providing researchers with multi-temporal satellite images covering the entire coastal area. Moreover, these technologies can deliver information within a short period while covering large areas [12].…”

Section: Introductionmentioning

confidence: 99%

The vulnerability of Small Islands from Coastlines Change in Indonesia

Rahmadi

Liviawaty

Faizal

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…In this study, we used the ERDAS IMAGINE 2014 software of Leica Geosystems for image georeferencing and the ArcGIS 10.8 software for vector generation, editing and map composition, while for the statistical analysis, DSAS v5.0 was used [34][35][36]. The DSAS functionalities have been described in detail in a previous study from our team [37].…”

Section: Software Usedmentioning

confidence: 99%

Estimating Quantitative Morphometric Parameters and Spatiotemporal Evolution of the Prokopos Lagoon Using Remote Sensing Techniques

Apostolopoulos

Avramidis

Nikolakopoulos

2022

JMSE

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The Prokopos Lagoon is part of the Kotychi Strofilias National Wetlands Park, which is supervised by the Ministry of Environment, Energy and Climate Change of Greece. The lagoon is situated at the northwestern coast of the Peloponnese and is protected by the Ramsar Convention. It is an important ecosystem with ecological services providing habitats for many plants and animals and essential goods and services for humans as well. No previous relevant studies for the wider wetland area are available, and given that lagoons are important ecosystems, their diachronic evolution should be under constant monitoring. Using remote sensing techniques in Geographic Information System (GIS) environment, alterations in critical parameters could be measured and applied for the protection of the area. The present study examines the spatiotemporal changes of the water extent of the Prokopos Lagoon, estimating landscape metrics and several morphometric parameters and indices related to the geomorphological features of the lagoon for the 1945–2021 period. Moreover, the adjacent shoreline was studied for each past decade evolution from 1945 to present, and it is discussed to whether there is a relationship between shoreline changes and the lagoon. High resolution satellite images and air photos at scale 1:30,000 were used to digitize the shorelines and the polygons of the lagoon’s surface. Linear Regression Rates (LRR), Net Shoreline Movement (NSM), End Point Rate (EPR) and Shoreline Change Envelope (SCE) provided by the Digital Shoreline Analysis System (DSAS) were used to determine the changes. Finally, future shoreline positions for 2021 and 2031 are estimated, while based on statistic models, we found that in the coastal area, the erosion–accretion cycle is predicted to be completed in 2031, after almost 86 years since 1945.

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“…This erosion mechanism is not only the result of natural processes (for example, wind, waves, currents, and tides) but also human activity. Some research on shoreline changes has been conducted around the world, such as: [6][7][8][9][10], and to quantify any changes along the coastal area, detecting a shoreline defined as the intersection between the ocean and the earth's surface is an important step because it is used as a proxy for shoreline change [1,11]. Remote sensing is a synoptic technique for analyzing the Earth based on efficiency, comfort, and cost.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Shorelines Change Model in Totok Bay Southeast Minahasa

Kumaat¹,

Tumengkol²,

Lobja³

et al. 2023

Proceedings of the Unima International Conference on Social Sciences and Humanities (UNICSSH 2022)

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This study aims to analyze the rate of change in the shoreline and find out the back and forth of the coast in a certain period. Coastal areas play an important role in economic development, namely the transport and tourism industries. Unfortunately, the spatio-temporal variation of the shoreline is very dynamic and is of great concern due to the threat of erosion and accretion. This erosion mechanism is not only the result of natural processes (for example, wind, waves, currents and tides) but also human activity. In this study, the shoreline was considered the boundary between the continent and the sea. Due to the frequency of extreme events such as storm surges, floods, etc. especially in coastal areas in the past decades, scientists are increasingly interested in the study of shoreline dynamics. Satellite imagery used to interpret shoreline changes are Landsat 7 / Enhanced Thematic Mapper (ETM) imagery data path 112 row 59 dated Septem-

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Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India

Cited by 38 publications

References 31 publications

The vulnerability of Small Islands from Coastlines Change in Indonesia

The vulnerability of Small Islands from Coastlines Change in Indonesia

Estimating Quantitative Morphometric Parameters and Spatiotemporal Evolution of the Prokopos Lagoon Using Remote Sensing Techniques

Spatio-Temporal Shorelines Change Model in Totok Bay Southeast Minahasa

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