Efficient IoT-Based Processing For Coastal Erosion Vulnerability Assessment Using Multispectral Satellite Imagery

Coastal erosion is a severe threat to the environment impacting many coastal areas throughout the world. The increasing rate and severity of erosion occurrences can be due to a combination of natural and human sources. Coastal erosion is becoming more prevalent through rising sea levels, climate change, and human activities including urbanisation and unsustainable coastal development. The study aims to examine the geographical and chronological patterns of coastal erosion along the shoreline of Kuala Rompin, Pahang for a long-term period, specifically from 2003 to 2023. Over the past twenty-years, coastline features and coastal erosion rate were revealed by utilizing Landsat and Satellite optical imagery. Additionally, with the desired satellite revisit timeframe, the combination of high-resolution multi spectral data and advanced GIS spatial analysis tools comprehensive change detection to assess the dynamic pattern and vulnerability rate of coastal landscape. Analysis of the data indicates an average erosion rate of −9.52 meters per year, with significant variability along the coastline. Besides that, this study also delved deeper into the relationship between environmental factors and the likelihood of erosion, offering useful insights into the factors that caused changes in the coastal area. The utilization of GIS and Remote Sensing images in this study provided a flexible and adaptable framework in the form of classified remote sensing images and GIS models complete with analysis for evaluating the susceptibility of coastal areas in different regions, promoting a wider range of potential applications for the research findings to aid other departments in mitigating and preventing coastal erosion in the area. The findings provide an enhance comprehension of the dynamics of coastal erosion around Kuala Rompin, facilitating well-informed decision-making for the implementation of sustainable methods in coastal management. In summary, this research can serve as a significant reference for environmental scientists, policymakers, and coastal management practitioners involved in addressing the effects of erosion on susceptible coastal regions.

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Publication Details

Published
2024-10-02
DOI
https://doi.org/10.1109/icset63729.2024.10774704
Citations
2
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.41

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article

Efficient IoT-Based Processing For Coastal Erosion Vulnerability Assessment Using Multispectral Satellite Imagery

Kelvin Tang Kang Wee, M. H. Yatim, Nur Zahirah Azziddin
2 citations
Remote Sensing and LiDAR Applications
0.41
article

Efficient IoT-Based Processing For Coastal Erosion Vulnerability Assessment Using Multispectral Satellite Imagery

Kelvin Tang Kang Wee, M. H. Yatim, Nur Zahirah Azziddin
article en
2 citations

Abstract

Coastal erosion is a severe threat to the environment impacting many coastal areas throughout the world. The increasing rate and severity of erosion occurrences can be due to a combination of natural and human sources. Coastal erosion is becoming more prevalent through rising sea levels, climate change, and human activities including urbanisation and unsustainable coastal development. The study aims to examine the geographical and chronological patterns of coastal erosion along the shoreline of Kuala Rompin, Pahang for a long-term period, specifically from 2003 to 2023. Over the past twenty-years, coastline features and coastal erosion rate were revealed by utilizing Landsat and Satellite optical imagery. Additionally, with the desired satellite revisit timeframe, the combination of high-resolution multi spectral data and advanced GIS spatial analysis tools comprehensive change detection to assess the dynamic pattern and vulnerability rate of coastal landscape. Analysis of the data indicates an average erosion rate of −9.52 meters per year, with significant variability along the coastline. Besides that, this study also delved deeper into the relationship between environmental factors and the likelihood of erosion, offering useful insights into the factors that caused changes in the coastal area. The utilization of GIS and Remote Sensing images in this study provided a flexible and adaptable framework in the form of classified remote sensing images and GIS models complete with analysis for evaluating the susceptibility of coastal areas in different regions, promoting a wider range of potential applications for the research findings to aid other departments in mitigating and preventing coastal erosion in the area. The findings provide an enhance comprehension of the dynamics of coastal erosion around Kuala Rompin, facilitating well-informed decision-making for the implementation of sustainable methods in coastal management. In summary, this research can serve as a significant reference for environmental scientists, policymakers, and coastal management practitioners involved in addressing the effects of erosion on susceptible coastal regions.

University of Technology Malaysia (MY)
Universiti Teknologi Malaysia
Climate action
Openalex Percentile: Top 40%
Remote Sensing and LiDAR Applications
0.41
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