Assessing Shoreline Changes in Pagatan Beach, South Kalimantan, Indonesia: A Remote Sensing Approach Using Satellite Imagery
DOI:
https://doi.org/10.37598/jscei.v1i1.021Keywords:
erosion, satelite imagery, shoreline changesAbstract
Pagatan Beach, located in South Kalimantan, Indonesia, has experienced substantial shoreline changes over the past few decades, posing potential risks to local ecosystems, infrastructure, and communities. This study examines the shoreline dynamics of Pagatan Beach from 1990 to 2023 using satellite imagery data from Landsat 5, Landsat 7, and Landsat 8. Utilizing the CoastSat toolkit, known for its georeferencing accuracy within 10 meters, shoreline positions were extracted from a total of 492 satellite images. The analysis identifies distinct patterns of erosion and accretion across different transects, influenced by natural forces such as wave action, currents, tides, and wind, as well as human interventions, particularly the construction of jetties and groins. The study highlights the critical role of satellite technology in monitoring coastal changes, providing valuable insights where in situ measurements are unavailable. Projection of shoreline changes suggest continued accretion in areas near installed groins, as the groins effectively retain sediment within their maximum length. Similarly, sections around the jetty at the easternmost part show a stable accretion trend, indicating effective sediment control. In contrast, a persistent erosion trend is anticipated along a 1-kilometer stretch in the central zone, potentially reducing the beach area by 2025. Without intervention, there is a risk of erosion encroaching onto adjacent roads by 2028. Despite challenges such as varying image quality and cloud cover, the findings underscore the importance of satellite-based monitoring for effective coastal management and planning.
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References
R. Dolan, S. F. Michael, and J. H. Stuart, "Temporal Analysis of Shoreline Recession and Accretion," Journal of Coastal Research, vol. 7, no. 3, pp. 723-744, 1991. https://www.jstor.org/stable/4297888
T. A. Łabuz, "Environmental Impacts—Coastal Erosion and Coastline Changes," in The BACC II Author Team (eds) Second Assessment of Climate Change for the Baltic Sea BasinRegional Climate Studies ed.: Springer, Cham, 2015. doi: https://doi.org/10.1007/978-3-319-16006-1_20
E. Boak and I. Turner, "Shoreline definition and detection: A review," J. Coast. Res., vol. 21, no. 4, pp. 688-703, 2005. doi: https://doi.org/10.2112/03-0071.1
M. Shoshany and A. Degani, "Shoreline Detection by Digital Image Processing of Aerial Photography," Journal of Coastal Research, vol. 8, no. 1, pp. 29-34, 1992. https://www.jstor.org/stable/4297949
C. J. Hapke, E. A. Himmelstoss, M. G. Kratzmann, J. H. List, and E. R. Thieler, "National assessment of shoreline change: Historical shoreline change along the New England and Mid-Atlantic coasts," US Geological Survey 2010. https://tamug-ir.tdl.org/bitstream/1969.3/29280/1/ofr2010-1118_report_508_rev042312.pdf
N. Gorelick, M. Hancher, M. Dixon, S. Ilyushchenko, D. Thau, and R. J. R. s. o. E. Moore, "Google Earth Engine: Planetary-scale geospatial analysis for everyone," vol. 202, pp. 18-27, 2017. doi: https://doi.org/10.1016/j.rse.2017.06.031
P. G. da Silva, M. S. Jara, R. Medina, A.-L. Beck, and M. A. J. C. E. Taji, "On the use of satellite information to detect coastal change: Demonstration case on the coast of Spain," vol. 191, p. 104517, 2024. doi: https://doi.org/10.1016/j.coastaleng.2024.104517
S. Zollini et al., "New Methodology for Shoreline Extraction Using Optical and Radar (SAR) Satellite Imagery," vol. 11, no. 3, p. 627, 2023. doi: https://doi.org/10.3390/jmse11030627
K. Vos, K. D. Splinter, M. D. Harley, J. A. Simmons, and I. L. Turner, "CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery," Environmental Modelling & Software, vol. 122, p. 104528, 2019/12/01/ 2019. doi: https://doi.org/10.1016/j.envsoft.2019.104528
A. Luijendijk, G. Hagenaars, R. Ranasinghe, F. Baart, G. Donchyts, and S. Aarninkhof, "The State of the World’s Beaches," Scientific Reports, vol. 8, 2018. doi: https://doi.org/10.1038/s41598-018-24630-6
M. I. Vousdoukas et al., "Sandy coastlines under threat of erosion," vol. 10, no. 3, pp. 260-263, 2020. doi: https://doi.org/10.1038/s41558-020-0697-0
G. Hagenaars, S. de Vries, A. P. Luijendijk, W. P. de Boer, and A. J. H. M. Reniers, "On the accuracy of automated shoreline detection derived from satellite imagery: A case study of the sand motor mega-scale nourishment," Coastal Engineering, vol. 133, pp. 113-125, 2018/03/01/ 2018. doi: https://doi.org/10.1016/j.coastaleng.2017.12.011
K. Vos, M. D. Harley, K. D. Splinter, J. A. Simmons, and I. L. Turner, "Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery," Coastal Engineering, vol. 150, pp. 160-174, 2019/08/01/ 2019. doi: https://doi.org/10.1016/j.coastaleng.2019.04.004
B. Castelle et al., "Satellite-derived shoreline detection at a high-energy meso-macrotidal beach," Geomorphology, vol. 383, p. 107707, 2021/06/15/ 2021. doi: https://doi.org/10.1016/j.geomorph.2021.107707
C. Billet, G. Bacino, G. Alonso, and W. J. W. Dragani, "Shoreline Temporal Variability Inferred from Satellite Images at Mar del Plata, Argentina," vol. 15, no. 7, p. 1299, 2023. doi: https://doi.org/10.3390/w15071299
D. Darmiati, I. W. Nurjaya, and A. S. Atmadipoera, "Analysis of Shoreline Change in West Coast Area of Tanah Laut District South Kalimantan," Jurnal Ilmu dan Teknologi Kelautan Tropis, vol. 12, no. 1, pp. 211-222, 2020. doi: https://doi.org/10.29244/jitkt.v12i1.22815
I. Alifdini, R. A. Kismawardhani, A. Wirasatriya, D. N. Sugianto, O. b. Yaakob, and A. B. Widodo, "Identification of Tidal Energy Resources using Satellite Altimetry Data for Indonesian Seas," in 2018 4th International Symposium on Geoinformatics (ISyG), 2018, pp. 1-6. doi: https://doi.org/10.1109/isyg.2018.8611798
H. Xu, "Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery," International Journal of Remote Sensing, vol. 27, no. 14, pp. 3025-3033, 2006. doi: https://doi.org/10.1080/01431160600589179
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Copyright (c) 2024 Ahmad Azmi Fitriadin (Corresponding Author); Dyah Pradhitya Hardiani, Elia Anggarini (Author/Co-author)
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