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Analysis of The Utilization of Sentinel-2 Imagery for Satellite-Derived Bathymetry Using Lyzenga Algorithm (Case Study: Bali Province) Ni Nyoman Pujianiki; Komang Gede Putra Airlangga; I Gusti Bagus Sila Dharma
International Journal of Marine Engineering Innovation and Research Vol 8, No 3 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v8i3.17098

Abstract

Bathymetric surveys nowadays are often used by the echosounding method. This method has weakness because the range that can be surveyed is limited due to cannot reach areas that have shallow depths. With advances in technology, there are alternative ways that can be done to map the depth of the sea, with the help of satellite imagery or remote sensing. This method uses a mathematical algorithm based on a combination of spectrum channels called Satellite-Derived Bathymetry (SDB). In this research, Sentinel-2 satellite imagery was used with Lyzenga algorithm. Lyzenga (2006) uses multilinear regression which is a combination of an equation that aims to convert pixel values into in-situ depth values. Within research of six locations in Bali Province, which are Sangsit Harbor, Gunaksa Harbor, Amed Port, Keramas Beach, Serangan Harbor and Sawangan Beach produced an R2 value each of 0.451, 0.747, 0.495, 0.610, 0.451 and 0.676. While the RMSE values were 26,247, 12,377, 31,942, 3,531, 3,000, and 1,992 respectively for water depths of 146 m, 97 m, 183 m, 22 m, 13 m, and 18 m respectively. The parameters that affect the level of accuracy are: water depth, presence of breaking waves, presence of disturbance objects in the waters.
Monitoring and Analysis of Coastline Changes in the Coastal Area of Bali Island, Indonesia Ni Nyoman Pujianiki; I Made Aryatirta Predana; Komang Gede Putra Airlangga; Gede Rai Putra Arya Simpangan; Takahiro Osawa; I Nyoman Sudi Parwata; Muhammad Shazril Idris Bin Ibrahim
Civil Engineering Dimension Vol. 26 No. 1 (2024): MARCH 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ced.26.1.32-50

Abstract

Erosion and accretion occuring in coastal areas are indications of changes in the coastline’s position. The beach areas in Bali have high economic value as tourist attractions; yet, the condition of the beaches in several places on the island is very concerning. Monitoring shoreline changes can be accomplished using remote sensing technology which is more efficient than the conventional methods. This paper describes the results of changes in the coastline from 2014 to 2021 with remote sensing for all coastal areas of the island of Bali surveyed in the field. This research has successfully detected changes in coastlines throughout the coastal areas of Bali Island by remote sensing method and verified by field survey. The survey results also show that remote sensing method has met the survey from previous studies specifically in Gianyar Regency and Jembrana Regency. Hence, it is applicable for further use in other areas.