Rapid Bathymetry Mapping Based on Shallow Water Cloud Computing in Small Bay Waters: Pilot Project in Pacitan-Indonesia

  • Nurul KHAKHIM Department of Geography Information Science, Faculty of Geography, Universitas Gadjah Mada, Indonesia
  • Agung KURNIAWAN Coastal and Watershed Management, Postgraduate Geography, Faculty of Geography, Universitas Gadjah Mada, Indonesia https://orcid.org/0000-0002-2441-8706
  • Pramaditya WICAKSONO Department of Geography Information Science, Faculty of Geography, Universitas Gadjah Mada, Indonesia
  • Ahmad HASRUL Coastal and Watershed Management, Postgraduate Geography, Faculty of Geography, Universitas Gadjah Mada, Indonesia


Mapping coastal areas generally requires large data constellations in time series and requires analysis using complex mathematical and modeling approaches. In shallow-water bathymetric mapping, remote sensing plays an important role in supporting conventional bathymetric mapping, especially in areas that are difficult to access. This method called Satellite Derived Bathymetry (SDB). The cloud computing approach is a solution for mapping shallow water bathymetry rapid and effectively. This study using Google Earth Engine (GEE) to compute remote sensing data for produce near-shore bathymetry. The method of Li et al. (2021) performs bathymetric extraction without using depth samples but uses chlorophyll-A as input for depth extraction parameter calculations. This study examines a small bay in the waters of Pacitan, Anakan Bay, and the waters of Kemujan Island in the Karimunjawa Islands. Within this study area, significant differences in resulting depth are very limited, ranging from 0 to -17.8. The developed model, based on the algorithm proposed by Li et al. (2021), is estimated to be able to provide accurate predictions of up to around 90% in the waters studied, with a root mean error rate (RMSE) of 1.1 meters.


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How to Cite
KHAKHIM, Nurul et al. Rapid Bathymetry Mapping Based on Shallow Water Cloud Computing in Small Bay Waters: Pilot Project in Pacitan-Indonesia. Journal of Environmental Management and Tourism, [S.l.], v. 15, n. 1, p. 41 - 51, feb. 2024. ISSN 2068-7729. Available at: <https://journals.aserspublishing.eu/jemt/article/view/8320>. Date accessed: 20 apr. 2024. doi: https://doi.org/10.14505/jemt.v15.1(73).04.