TY - GEN
T1 - A Multi-Resolution Pipeline for High-Fidelity Coastal Terrain Reconstruction for XR From Heterogeneous Geospatial Data
AU - Law, Yuen C.
AU - Troll, Lucca
AU - Zielasko, Daniel
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - The reconstruction of digital heritage environments increasingly demands the coherent integration of heterogeneous spatial data as a foundation for visually immersive XR applications. However, existing terrain-generation pipelines are typically not designed to support the levels of geometric detail, continuity, and scale consistency required for high-fidelity first-person exploration in real-time XR. This paper presents a reproducible processing pipeline for constructing a physically and perceptually coherent coastal virtual environment from heterogeneous geospatial datasets of varying resolution and origin. The pipeline integrates high-resolution aerial point clouds, lower-resolution satellitebased elevation data, and global bathymetric data into a continuous, multi-resolution terrain suitable for real-time XR applications, such as high detail and resolution for first-person exploration. We describe data cleanup, multi-resolution fusion, procedural enhancement of underwater terrain, terrain texturing, vegetation generation, and background simplification. The resulting virtual coastal environment serves as a multimodal-ready spatial substrate that can support synchronized visual, acoustic, and physical simulations. We demonstrate the pipeline through a case study of a critical segment of the Caribbean coast of Costa Rica and discuss its implications for multisensory digital heritage reconstruction and environmental communication.
AB - The reconstruction of digital heritage environments increasingly demands the coherent integration of heterogeneous spatial data as a foundation for visually immersive XR applications. However, existing terrain-generation pipelines are typically not designed to support the levels of geometric detail, continuity, and scale consistency required for high-fidelity first-person exploration in real-time XR. This paper presents a reproducible processing pipeline for constructing a physically and perceptually coherent coastal virtual environment from heterogeneous geospatial datasets of varying resolution and origin. The pipeline integrates high-resolution aerial point clouds, lower-resolution satellitebased elevation data, and global bathymetric data into a continuous, multi-resolution terrain suitable for real-time XR applications, such as high detail and resolution for first-person exploration. We describe data cleanup, multi-resolution fusion, procedural enhancement of underwater terrain, terrain texturing, vegetation generation, and background simplification. The resulting virtual coastal environment serves as a multimodal-ready spatial substrate that can support synchronized visual, acoustic, and physical simulations. We demonstrate the pipeline through a case study of a critical segment of the Caribbean coast of Costa Rica and discuss its implications for multisensory digital heritage reconstruction and environmental communication.
KW - bathymetry
KW - coastal reconstruction
KW - digital heritage
KW - environmental communication
KW - extended reality
KW - geospatial data fusion
KW - multi-resolution terrain
KW - point cloud processing
KW - procedural modeling
KW - real-time rendering
UR - https://www.scopus.com/pages/publications/105038794424
U2 - 10.1109/VRW70859.2026.00012
DO - 10.1109/VRW70859.2026.00012
M3 - Contribución a la conferencia
AN - SCOPUS:105038794424
T3 - Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026
SP - 29
EP - 34
BT - Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026
Y2 - 21 March 2026 through 25 March 2026
ER -