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Coastline Modeling Using Stacked Curve Spline Tension Interpolation

Pemodelan Garis Pantai Menggunakan Metode Interpolasi Stacked Curve Spline Tension

*Nadya Oktaviani orcid scopus  -  Badan Informasi Geospasial, Indonesia
Prayudha Hartanto orcid scopus  -  Badan Informasi Geospasial, Indonesia
Danang Budi Susetyo scopus  -  Badan Informasi Geospasial, Indonesia
Hollanda Arief Kusuma  -  Universitas Maritim Raja Ali Haji, Indonesia
Yustisi Ardhitasari orcid scopus  -  Badan Informasi Geospasial, Indonesia
Ratna Sari Dewi  -  , Indonesia
Open Access Copyright (c) 2021 TEKNIK

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Abstract
The coastal area is a dynamic environment influenced by atmosphere, land, and ocean interactions. Similarly, the position of coastlines is also changing due to natural and human-induced components, for instance, erosion, wave, daily tide, storm, and coastal development. In literature, coastline position can be identified based on proxies such as coastal features identified from an aerial photo or very high-resolution image and tidal datum-based indicators extracting from a ground survey. This research proposed a method in deriving datum-based coastline by integrating various bathymetric data, including single beam and multibeam echo sounding data, the National Digital Elevation Model, the national bathymetry data, as well as satellite-derived bathymetry data. The stacked curve spline tension method was applied to assimilate those various bathymetric data, and finally, the coastline was generated. Based on the accuracy assessment conducted, coastline similarity accuracy varies; namely, the LAT coastline had an accuracy of 29.28%, the MSL coastline was 65.45%, and the HAT coastline was 47.48%. These variations are due to several reasons, including the lack of input data, the density of depth data that varies greatly, the difference in data acquisition time between the data used for the LPI map and the data used in this study. Although the accuracy values obtained were not sufficiently high, the proposed method was quite promising to adopt. The method can be used as an alternative for the coastline model and overcome data, time, and cost limitations in providing national coastlines
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Keywords: coastline; DEM; modelling; bathymetry; stacked curve spline tension
Funding: INSINAS - Kementerian Riset dan Teknologi

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  1. Amante, C.J., & Eakins, B.W. (2016). Accuracy of Interpolated Bathymetry in Digital Elevation Models. Journal of Coastal Research , 76, 10076, 123–133, https://doi.org/10.2112/SI76-011
  2. Aouiche, I., Daoudi, L., Anthony, E. ., Sedrati, M., Ziane, E., Harti, A., & Dussouillez, P. (2016). Anthropogenic effects on shoreface and shoreline changes: Input from a multi-method analysis, Agadir Bay, Morocco. Geomorphology, 254, 16–31
  3. Banna, M. M. . & Hereher, M. (2009). Detecting temporal shoreline changes and erosion/accretion rates, using remote sensing, and their associated sediment characteristics along the coast of North Sinai, Egypt. Environ Geol, 58, 1419–1427
  4. Badan Informasi Geospasial (2018). DEMNAS: Seamless Digital Elevation Model (DEM) dan Batimetri Nasional. Cibinong, Indonesia: Geospatial Information Agency (Badan Informasi Geospasial)
  5. Badan Informasi Geospasial (2019). Online tide prediction. Diakses dari http://tides.big.go.id/, tanggal 1 Agustus 2019
  6. Badan Informasi Geospasial (2019). Seamless Digital Elevation Model (DEM) dan Batimetri Nasional. Diakses dari http://tides.big.go.id/DEMNAS/, tanggal 13 Oktober 2019
  7. Boak, E. H., & Turner, I. L. (2005). Shoreline Definition and Detection: A Review. Journal of Coastal Research, 21, 688–703. https://doi.org/10.2112/03-0071.1
  8. Chen, C., Bu, J., Zhang, Y., Zhuang, Y., Chu, Y., Hu, J., & Guo, B. (2019): The application of the tasseled cap transformation and feature knowledge for the extraction of coastline information from remote sensing images. Advances in Space Research, 64, 1780–1791. https://doi.org/https://doi.org/10.1016/j.asr.2019.07.032
  9. Crowell, M., Leatherman, S., Buckley, M.K. (1991). Historical shoreline change: error analysis and mapping accuracy. Journal of Coastal Research, 7, 839-852
  10. Dai, C., Howat, I. M., Larour, E., & Erik, H. (2019): Coastline extraction from repeat high resolution satellite imagery. Remote Sensing of Environment, 229, 260–270. https://doi.org/https://doi.org/10.1016/j.rse.2019.04.010
  11. Finkl C.W. (2016) Coasts. Encyclopedia of Marine Geosciences. Encyclopedia of Earth Sciences Series. Dordrecht : Springer. https://doi.org/10.1007/978-94-007-6238-1_152
  12. Gens, R. (2010): Remote sensing of coastlines: detection, extraction and monitoring, International Journal of Remote Sensing, 31(7), 1819–1836. https://doi.org/10.1080/01431160902926673
  13. Hell, B., & Jakobsson, M. (2011): Gridding heterogeneous bathymetric data sets with stacked continuous curvature splines in tension, Mar Geophys Res, 32, 493–501. https://doi.org/DOI 10.1007/s11001-011-9141-1
  14. Moore, L.J. (2000). Shoreline mapping techniques. Journal of Coastal Research, 16, 111-124
  15. Morton, R.A., Leach, M.P., Paine, J.G., & Cardoza, M.A. (1993). Monitoring beach changes using GPS surveying techniques. Journal of Coastal Research, 9, 702-720
  16. Oertel, G.F. (2005). Coasts, coastlines, shores, and shorelines. Encyclopedia of Coastal Science. Dordrecht : Springer
  17. Susetyo, D. B., Lumban-gaol, Y. A., & Sofian, I. (2018). Prototype of National Digital Elevation Model in Indonesia. ISPRS Technical Commission IV Symposium 2018
  18. Tveite, H., Langaas, S. (1999). An Accuracy Assessment Method for Geographical Line Data Sets Based on Buffering. International Journal of Geographical Information Science, 13(1), 27-47. http://dx.doi.org/10.1080/136588199241445
  19. Wessel, P., & Smith, W. H. . (1996): A global, self-consistent, hierarchical, high-resolution shoreline database, Journal of Geophysical Research, 101, 8741–8743
  20. Xu, N., Gao, Z., a& Ning, J. (2016): Analysis of the characteristics and causes of coastline variation in the Bohai Rim, Environment Earth Science, 75:719. https://doi.org/DOI 10.1007/s12665-016-5452-5

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