Cloud-based multitemporal shoreline change analysis using google earth engine and DSAS: A case study of Canggu Beach, Bali, Indonesia

Authors

  • I Dewa Ayu Meia Damayanthi Master Program in Civil Engineering, Udayana University, Denpasar, 80234, Indonesia
  • Ni Nyoman Pujianiki Department of Civil Engineering, Udayana University, Badung, 80361, Indonesia
  • Silvia Gabrina Tonyes Department of Civil Engineering, Udayana University, Badung, 80361, Indonesia

DOI:

https://doi.org/10.22225/jipe.4.2.2025.83-91

Keywords:

Canggu beach, shoreline change, remote sensing, google earth engine, DSAS

Abstract

Canggu Beach, Bali, is a multifunctional coastal area that faces environmental pressures due to erosion and rapid coastal development. This study analyzed shoreline changes during the period 2016-2024 using multitemporal Sentinel-2 satellite images processed through the Google Earth Engine (GEE) platform. Shoreline extraction was performed using NDWI index and Otsu threshold method, with sea level stability control based on HYCOM data. Shoreline change analysis was conducted using Digital Shoreline Analysis System (DSAS) on 247 transects with Net Shoreline Movement (NSM) and End Point Rate (EPR) approaches. Results showed a dominant trend of accretion (NSM +16.61 m; EPR +2.26 m/year), with localized erosion (NSM -8.8 m; EPR -1.2 m/year), identified around estuary and structured areas. Spatial patterns of change were visualized in the form of multitemporal maps and statistical histograms, revealing uneven shoreline dynamics. The integration of GEE and DSAS proved effective for large-scale shoreline monitoring, and the results can provide a basis for adaptive coastal management in dynamic, multi-functional coastal areas.

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Published

2025-10-31

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Vol. 4 No. 2 (2025)

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Copyright (c) 2025 I Dewa Ayu Meia Damayanthi, Ni Nyoman Pujianiki, Silvia Gabrina Tonyes

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