DOI : https://doi.org/10.18517/ijaseit.11.2.13162

Monitoring Coastline Changes Using Landsat Application in Batu Mejan Beach

Ni Nyoman Pujianiki (1), Gusti Bagus Armana Santosa Widhi (2), I Nyoman Gde Antara (3), I Gede Rai Maya Temaja (4), Takahiro Osawa (5)
(1) Udayana University
(2) Udayana University
(3) Udayana University
(4) Udayana University
(5) Yamaguchi University
Fulltext View | Download
How to cite (IJASEIT) :
[1]
N. N. Pujianiki, G. B. A. S. Widhi, I. N. G. Antara, I. G. R. M. Temaja, and T. Osawa, “Monitoring Coastline Changes Using Landsat Application in Batu Mejan Beach”, Int. J. Adv. Sci. Eng. Inf. Technol., vol. 11, no. 2, pp. 738–745, Apr. 2021.
Citation Format :
Monitoring Coastline changes is a very important task to assess and evaluate the condition of the coastal area. Accurate results of changes in coastline are very useful as a consideration in making decisions for coastal area management and planning for future coastal development. Therefore, coastline changes, both erosion and accretion were examined in this study. Batu Mejan Beach is selected as a study area. It is a tourism destination often visited by foreign and local tourists in North Kuta Beach. Its current condition is very poor because of the erosion that has occurred. The government has tried to build a sea wall for protection, but the structure has failed. Remote sensing is a method that can monitor shoreline changes more efficiently than taking measurements directly into the field. With the remote sensing method, changes in the shoreline at a certain period can be investigated. The remote sensing analysis method is used to extract coastlines from Landsat 7 satellite images in 2002 and Landsat 8 in 2018. Landsat was analyzed using a combination approach of threshold and band ratio methods of infrared bands and green bands. Image processing uses ENVI 5.3 software and ArcGIS 10.4.1 with the Quoted Shoreline Analysis System (DSAS) extension to make transect shoreline calculations. The results of the analysis of the rate of change in the coastline along Batu Mejan Beach showed abrasion of 0.11-5.14 m/year and accretion of 0.29-0.84 m/year.

E. J. Powell, M. C. Tyrrell, A. Milliken, J. M. Tirpak, and M. D. Staudinger, “A review of coastal management approaches to support the integration of ecological and human community planning for climate change,” J. Coast. Conserv., vol. 23, no. 1, pp. 1-18, 2019, doi: 10.1007/s11852-018-0632-y.

P. B. Zamora, M. B. Cardenas, R. Lloren, and F. P. Siringan, “Seawater-groundwater mixing in and fluxes from coastal sediment overlying discrete fresh seepage zones: A modeling study,” J. Geophys. Res. Ocean., vol. 122, no. 8, pp. 6565-6582, 2017, doi: 10.1002/2017JC012769.

C. Jordan, J. Visscher, N. V. Dung, H. Apel, and T. Schlurmann, “Impacts of human activity and global changes on future morphodynamics within the tien river, vietnamese mekong delta,” Water (Switzerland), vol. 12, no. 8, 2020, doi: 10.3390/w12082204.

Badung Regency Local Goverment, “Peraturan Daerah Kabupaten Badung No. 26 Tahun 2013 tentang Rencana Tata Ruang Wilayah Kabupaten Badung Tahun 2013 - 2033,” 2013.

BWS-BP, “Studi Updating Abrasi Pantai Provinsi Bali,” Balai Wil. Sungai Bali-Penida, 2015.

P. Ni Nyoman, A. Diputra I Gede, J. Made W, and M. INK, “Coastal protection work for Batu Mejan Beach, Bali,” MATEC Web Conf., vol. 276, p. 04019, 2019, doi: 10.1051/matecconf/201927604019.

P. N. Nyoman, S. Ketut, and A. C. Saputra, “Revitalizing the Batu Mejan Beach with Geotextile Breakwater,” IOP Conf. Ser. Earth Environ. Sci., vol. 248, no. 1, 2019, doi: 10.1088/1755-1315/248/1/012080.

M. Yasir et al., “Automatic Coastline Extraction and Changes Analysis Using Remote Sensing and GIS Technology,” IEEE Access, vol. 8, pp. 180156-180170, 2020, doi: 10.1109/ACCESS.2020.3027881.

M. Bouchahma, W. Barhoumi, W. Yan, and H. Al Wardi, “Optical-flow-based approach for the detection of shoreline changes using remote sensing data,” Proc. IEEE/ACS Int. Conf. Comput. Syst. Appl. AICCSA, vol. 2017-October, pp. 184-189, 2018, doi: 10.1109/AICCSA.2017.173.

X. K. Zhang, X. Zhang, Q. Q. Lan, and M. H. Ali Baig, “Automated detection of coastline using Landsat TM based on water index and edge detection methods,” Proc. 2nd Int. Work. Earth Obs. Remote Sens. Appl. EORSA 2012, pp. 153-156, 2012, doi: 10.1109/EORSA.2012.6261155.

E. A. Himmelstoss, R. E. Henderson, M. G. Kratzmann, and A. S. Farris, “Digital Shoreline Analysis System (DSAS) version 5.0 user guide,” Reston, VA, 2018. doi: 10.3133/ofr20181179.

R. M. Abou and R. R. Ali, “The Egyptian Journal of Remote Sensing and Space Sciences Applying DSAS tool to detect coastal changes along Nile Delta , Egypt,” Egypt. J. Remote Sens. Sp. Sci., no. xxxx, 2020, doi: 10.1016/j.ejrs.2020.11.002.

R. Bera and R. Maiti, “Quantitative analysis of erosion and accretion (1975-2017) using DSAS — A study on Indian Sundarbans,” Reg. Stud. Mar. Sci., vol. 28, p. 100583, 2019, doi: 10.1016/j.rsma.2019.100583.

M. R. Muskananfola, Supriharyono, and S. Febrianto, “Spatio-temporal analysis of shoreline change along the coast of Sayung Demak, Indonesia using Digital Shoreline Analysis System,” Reg. Stud. Mar. Sci., vol. 34, p. 101060, 2020, doi: 10.1016/j.rsma.2020.101060.

Nithu Raj, B. Gurugnanam, V. Sudhakar, and P. Glitson Francis, “Estuarine shoreline change analysis along The Ennore river mouth, south east coast of India, using digital shoreline analysis system,” Geod. Geodyn., vol. 10, no. 3, pp. 205-212, 2019, doi: 10.1016/j.geog.2019.04.002.

W. Cao, Y. Zhou, R. Li, and X. Li, “Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images,” Remote Sens. Environ., vol. 239, no. December 2019, p. 111665, 2020, doi: 10.1016/j.rse.2020.111665.

C. Chen, J. Fu, S. Zhang, and X. Zhao, “Coastline information extraction based on the tasseled cap transformation of Landsat-8 OLI images,” Estuar. Coast. Shelf Sci., vol. 217, pp. 281-291, 2019, doi: 10.1016/j.ecss.2018.10.021.

W. Nijland, L. Reshitnyk, and E. Rubidge, “Satellite remote sensing of canopy-forming kelp on a complex coastline: A novel procedure using the Landsat image archive,” Remote Sens. Environ., vol. 220, no. October 2018, pp. 41-50, 2019, doi: 10.1016/j.rse.2018.10.032.

Google Earth, “Image of Batu Mejan,” Jun. 2019.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).