Accuracy test of GEBCO bathymetry data in the Flores Sea

Kintan Maulidina; Masita Dwi Mandini Manessa; Rahmad Kurniawan

doi:10.1117/12.3009694

29 January 2024 Accuracy test of GEBCO bathymetry data in the Flores Sea

Kintan Maulidina, Masita Dwi Mandini Manessa, Rahmad Kurniawan

Proceedings Volume 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; 129770Q (2024) https://doi.org/10.1117/12.3009694
Event: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 2023, Yogyakarta, Indonesia

Abstract

GEBCO (General Bathymetric Chart of The Ocean) is the international organization responsible for collecting, processing, and disseminating global bathymetric data. One of the data provided is the depth of the seabed. One of Indonesia's seas with a wealth of underwater physical characteristics is the Flores Sea. In this research, we validate the accuracy of the topographical information generated from GEBCO satellite images in the Flores Sea in deep and shallow waters. Seabed depth data is obtained free of charge via the official GEBCO website and processed using ArcGIS Pro software. Furthermore, the data obtained from GEBCO will be compared with data from MBES (Multi-Beam Echo Sounder) measurements. Data analysis was performed using statistical tests at each depth variation. The results obtained, as a whole, amounting to 96,227% of the GEBCO bathymetry data, can represent the measurement data in the deep water and only 0,916% in the shallow water. At each depth variation, the GEBCO bathymetry data does not show a consistent error trend. When analyzing the depth data, no pattern or trend can be identified, or it can be said that the distribution of the data does not follow a specific pattern.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kintan Maulidina, Masita Dwi Mandini Manessa, and Rahmad Kurniawan "Accuracy test of GEBCO bathymetry data in the Flores Sea", Proc. SPIE 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 129770Q (29 January 2024); https://doi.org/10.1117/12.3009694

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KEYWORDS

Water

Oceanography

Satellites

Correlation coefficients

Data modeling

Satellite imaging

Error analysis

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