Accuracy test of GEBCO bathymetry data in the Flores Sea

Kintan Maulidina, Masita Dwi Mandini Manessa, Rahmad Kurniawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 and BATNAS data. Data analysis was performed using statistical tests at each depth variation. The results obtained, GEBCO exhibits a higher level of reliability in deep water environments compared to shallow waters. The findings indicate a stronger correlation and lower prediction errors, as reflected by the Pearson correlation coefficients and RMSE values, respectively, in deeper marine settings. Additionally, the observed patterns of correlation coefficients and prediction errors indicate that GEBCO tends to more accurately represent values from MBES compared to BATNAS.

Original languageEnglish
Title of host publicationEighth Geoinformation Science Symposium 2023
Subtitle of host publicationGeoinformation Science for Sustainable Planet
EditorsAriel Blanco, Andi Besse Rimba, Chris Roelfsema, Sanjiwana Arjasakusuma
ISBN (Electronic)9781510672697
Publication statusPublished - 2024
Event8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet - Yogyakarta, Indonesia
Duration: 28 Aug 202330 Aug 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Conference8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet


  • Accuracy test
  • bathymetry
  • Flores Sea
  • MBES


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