OCEANOGRAPHIC DATA VISUALIZATION USING HIERARCHICAL DATA FORMAT VERSION 5

• Main Author: Muhammad Kelvin, Filan
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/85217
• Institution: Institut Teknologi Bandung

Hierarchical Data Format version 5 (HDF5) is a data storage format that offers high scalability, fast and easy access, and flexible metadata modification. These features are utilized by the International Hydrographic Organization (IHO) as a standard for storing S-100 data for bathymetry, sea surface height, and surface current. This research investigates the method of converting oceanographic data into HDF5 using the IHO S-100 format. The data used includes bathymetry from the National Bathymetry (Batnas), sea surface elevation data, and surface current velocity from the MITgcm model in Karimunjawa. The conversion is done to HDF5 using formats S-102, S-104, and S-111 with Python programming language. The converted data is then validated by comparing the values after conversion with the original data. The methods used are data averaging, one-to-one data comparison, and hash methods. Afterward, the data is visually compared using the KHOA S-100 Viewer as a template application for S-100 data. The research results show that the change in data values is less than 1%, which occurs due to the change in data type from the original data to the data type used by S-100. Data changes are observed in S-104 and S-111 data, but no data changes occur in S-102 data because the data types used by the data source and S-100 are the same. Qualitatively, both data can look the same as long as they have the same color scale. It can also be observed that there is a size efficiency of the data after being converted to HDF5. The development of creating S-100 data can be done by testing the data on the Electronic Chart Display and Information System (ECDIS) to better understand the shortcomings of data creation.