FOSS4G-Asia 2024

Haneul Yoo


Sessions

12-15
09:30
240min
Building a urban digital twin using open data, open source, and open standard, a mago3D way!
Haneul Yoo, Yeonhwa Jeong, Sanghee Shin, SUNGJIN KANG, Dawoon KIM, Seungmin Kwon

In this workshop titled "Building an Urban Digital Twin using Open Data, Open Source, Open Standards, a mago3D way!", participants will embark on a hands-on journey to create a digital twin of a selected urban area in Thailand. Leveraging open data from Overture Maps and NASA's 30m resolution Digital Elevation Model (DEM), participants will learn how to integrate and process these datasets using open-source tools like mago3DTiler and visualize the final output in a Cesium-based 3D environment.

The workshop will focus on using open standards, specifically the OGC’s 3D Tiles format, to ensure compatibility and interoperability across platforms. Participants will begin by downloading and processing building data from Overture Maps and terrain data from NASA. These datasets will then be converted into 3D Tiles using mago3DTiler, enabling detailed and accurate 3D representations of the urban environment. The final visualization step will be performed using Cesium, where participants can explore the digital twin in an interactive 3D space.

This workshop is designed for GIS professionals, urban planners, and developers interested in the creation of urban digital twins using open technologies. By the end of the session, participants will have a comprehensive understanding of how to create, process, and visualize 3D urban data using open resources and standards.

FOSS4G-Asia 2024 - Workshop Proposals
Room34-1104
12-16
16:30
15min
Implementation and visualization of a digital twin system for urban noise prediction
Haneul Yoo, Yooyeol Yim, Taiyoung Kim

As the maturity of digital twin technology increases over time, there is an increasing demand to implement various services (especially those related to decision support) that utilize invisible phenomena/analysis information by visualizing various types of sensor data or the results of professional analysis/prediction together, from three-dimensional visualization using only buildings/terrain.

In particular, Korea aims to provide city-scale housing with a quality living environment, and one of the most complained about items is noise, and there is a strong desire to utilize noise prediction analysis to derive planning/design results in urban planning/design work.

In this presentation, we will introduce a digital twin system that combines 3D spatial information and noise predictive modeling using "OGC standard CityGML" and "open source mago 3DTiler and mago 3DTerrainer developed by Gaia3D" to support urban noise analysis and decision-making.

FOSS4G-Asia 2024 - Abstracts - General Track
Auditorium Hall 2