Analysis of Shoreline Changes in Nusaniwe District, Ambon City, Using Landsat 8-9 Satellite Imagery
DOI:
https://doi.org/10.51601/ijse.v6i2.484Abstract
The coastal area of Nusaniwe District in Ambon City is a dynamic and dense area of human activity, such as ports, settlements, and industries. This condition makes the area vulnerable to shoreline changes triggered by natural factors and human activities. This study aims to analyze changes in the coastline of Nusaniwe District during the period 2015-2024 using Landsat 8-9 satellite imagery which was analyzed using the Digital Shoreline Analysis System (DSAS) method based on Net Shoreline Movement (NSM) and End Point Rate (EPR) parameters. The results of the analysis show that the change in the coastline in this region is dominated by retreat, especially in area C (Negeri Latuhalat) with an average change of 11.98 meters from 2015-2024. Meanwhile, area E (Wainitu Village) experienced an advanced coastline with an average change of 4.28 meters. The total area of identified coastline changes is 35,573 Ha, consisting of 24,867 Ha of backward coastline and 10,707 Ha of advanced coastline. These significant changes are influenced by human activities and coastal environmental conditions. This research is expected to be the basis for spatial planning and disaster mitigation efforts in the coastal area of Ambon City.
Keywords: Shoreline Change, Receding Coastline, Forward Coastline, Abrasion, Accretion, Landsat, DSAS, Nusaniwe District
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[1]. Agustin, N. S., & Shah, A. F. (2020). Analysis of changes in coastline on Madura Island using Landsat 8 satellite imagery. Juvenile: Scientific Journal of Marine and Fisheries, 1(3), 427-436.
[2]. Bird, E. C. F. (1980). Coastal Geomorphology: An Introduction. John Wiley & Sons.
[3]. Farah, et al. (2016). The effect of coastal accretion on coastal morphological changes in river estuary areas (Thesis, Hasanuddin University).
[4]. Hang Tuah, M. (1991). Coastal Geomorphology and Shoreline Changes. Hydraulics Dictat, Hang Tuah University.
[5]. Hegde, A., & Akshaya, S. (2015). Coastal morphodynamics and shoreline change analysis. International Journal of Earth Sciences, 4(1), 45-52.
[6]. Hidayah, R., & Dwito, H. (2012). Analysis of Changes in the Jasri Coastline, Karangasem Regency, Bali. Pomits Engineering Journal, 1(1), 1–7.
[7]. Himmelstoss, E.A., Thieler, E.R., Zichichi, J.L., and Ergul, A. (2008). The Digital Shoreline Analysis System (DSAS) Version 4.0 – An ArcGIS Extension for Calculating Shoreline Change. U.S. Geological Survey Open-File Report 2008-1278. Reston, VA: U.S. Geological Survey.
[8]. International Hydrographic Organization (IHO). (1994). Limits of Oceans and Seas (Special Publication No. 23). Monaco: International Hydrographic Bureau.
[9]. Kasim, M., & Salam, M. (2015). A mathematical model of shoreline change based on sediment balance. Marine Journal, 10(2), 123-134.
[10]. Lubis, D. P. (2017). Analysis of shoreline changes using remote sensing imagery (case study in Talawi District, Batubara Regency). Journal of Geography, 9(1), 21-31.
[11]. Lubis, D. P., Pinem, M., & Simanjuntak, M. A. N. (2017). Analysis of coastline changes using satellite imagery and Digital Shoreline Analysis System (DSAS) on the north coast of North Sumatra. Journal of Geography, 9(2), 123-134.
[12]. Nugraha, N. J., Karang, W. G., & Dharma, G. B. (2017). Study of the Rate of Coastline Change on the Southeast Coast of Bali Using Landsat Satellite Imagery (Case Study of Gianyar and Klungkung Regencies). J. Mar. Aquat. Sci. 3: 204-214 (2017), 205-214.
[13]. Putra, A., Husrin, S., & Ridwan, N. H. H. (2014). Analysis of Coastline Changes on the Northeast Coast of Bali Using Remote Sensing Dataset (Case Study of the Location of the Usat Liberty Ship Site, Tulamben). In the 2014 National Seminar on Marine Research and Observation: Marine Observation Systems and Their Utilization for Marine and Fisheries Development in Indonesia. Jemrana, Indonesia, 14 October 2014 (pp. 143-159).
[14]. Putra, I. G. N., et al. (2016). Analysis of shoreline changes and their causative factors in coastal areas (Thesis, Gadjah Mada University).
[15]. Saripin, I. 2003. Land Use Identification Using Landsat Thematic Mapper Imagery. Bulletin of Agricultural Engineering, 8(2): 49-54.
[16]. Sasmito, B., & Amarrohman, F. J. (2016). Monitoring of Shoreline Changes Using the Digital Shoreline Anaysis System (DSAS) Application Case Study: Coastal Demak Regency. Journal of Undip Geodesy, 5(1), 78-89.
[17]. Setianingrum, D. R. 2014. Analysis of Suitability of Pond Land Using Geographic Information System (Case Study: Brangsong District, Kendal Regency, Central Java Province). Thesis. Geodesy Engineering Study Program, Faculty of Engineering, Diponegoro University.
[18]. Setyoningrum, D., Setyawan, F. O., Akmal, F., & Wicaksono, I. A. (2023). Analisis Perubahan Garis Pantai Dengan Metode Digital Shoreline Analysis System (Dsas) Tahun 2017-2021 (Studi Kasus: Pantai Parangtritis, Kabupaten Bantul): Analysis Of Shoreline Changes In 2017-2021 Using The Digital Shoreline Analysis System (Dsas) Method (Case Study: Coast Of Parangtritis, Bantul Regency). JFMR (Journal of Fisheries and Marine Research), 7(2), 88-100.
[19]. Siburian, P. J. (2017). Analysis of Shoreline Changes and Their Relationship with Land Cover in Coastal Areas of Tuban Regency, East Java. Thesis, Brawijaya University.
[20]. Suniada, K. I. (2015). Detection of changes in coastline in Jembrana Regency Bali using remote sensing technology. National Marine Journal, 10(1), 13-19.
[21]. Sutikno, 1993. Characteristics of Coastal Forms and Geology in Indonesia. DIKLAT PU WIL III. Director General of Irrigation Department. Forms and Geology of Beaches in Indonesia. DIKLAT PU WIL III. Director General of Irrigation Department. Yogyakarta. 51 p.
[22]. Tarigan, M. S. (2007). Changes in the Coastline in the Coastal Waters of Cisadane, Banten Province. Journal of Applied Science, 11(1), 49–58.
[23]. Triatmojo, B. (2012). Introduction to marine science. Yogyakarta: Graha Ilmu. Triatmodjo, B. 1999. Coastal Engineering. Beta Offset. Yogyakarta. 370 p.
[24]. United States Geological Survey (USGS). 2018. Landsat Missions. Landsat. https://www.usgs.gov/https://www.usgs.gov/.
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Copyright (c) 2026 Reza Mulyadi, Warniyati, Tri O. Sihombing, Monic R Tutkey
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