DYNAMIC 3D VISUALIZATION OF FLOODS: CASE OF THE NETHERLANDS

8 citations as recorded by crossref.

1. From data to action in flood forecasting leveraging graph neural networks and digital twin visualization N. Roudbari et al. https://doi.org/10.1038/s41598-024-68857-y
2. Semantic 3D city interfaces—Intelligent interactions on dynamic geospatial knowledge graphs A. Chadzynski et al. https://doi.org/10.1017/dce.2023.14
3. Web-based visualization and rendering of aerial LiDAR point cloud for urban flood simulation S. Saifi & R. Anandakumar https://doi.org/10.1108/IJDRBE-07-2023-0079
4. Multi-scale urban energy data integration for energy poverty assessment: A semantic approach with evidence from the Netherlands X. Liu et al. https://doi.org/10.1016/j.scs.2026.107461
5. Extending 3D geometric file formats for geospatial applications C. Praschl & O. Krauss https://doi.org/10.1007/s12518-023-00543-6
6. Documenting cultural heritage in an INSPIRE-based 3D GIS for risk and vulnerability analysis E. Colucci et al. https://doi.org/10.1108/JCHMSD-04-2021-0068
7. 3D city model for monitoring flash flood risks in Salalah, Oman K. AL KALBANİ & A. RAHMAN https://doi.org/10.26833/ijeg.857971
8. Integrating Urban Digital Twin with Cloud-Based Geospatial Dashboard for Coastal Resilience Planning: A Case Study in Florida C. Chen et al. https://doi.org/10.1177/0739456X251316185