Speaker
Description
This research addresses the challenges of 3D City Information Modelling using UAVs for data collection and processing. It presents an appropriate cost-efficient and scalable approach for generating high-resolution 3D urban models by integrating advanced photogrammetry and data-driven methods. The primary goal is to overcome barriers in data collection, processing, and model implementation, providing an adaptable approach for urban studies and related disciplines.
The research integrates a systematic review and bibliometric analysis using BSMS (Bibliometric Analysis, Systematic Review, Meta-Analysis, and Storytelling) techniques. These methods were employed to identify critical gaps in CIM-related urban planning studies, provide a deeper understanding of trends, and synthesize insights from the existing body of work. By combining these findings with the practical UAV-based workflow, the research seeks to bridge theoretical and practical knowledge in CIM.
Using Istanbul's Emniyettepe Neighborhood as a case study, the research demonstrates UAV-based imaging techniques to capture detailed aerial and structural data. These data were processed to generate outputs such as Digital Surface Models (DSM), Digital Terrain Models (DTM), orthomosaics, and point cloud datasets, all of which offer precise spatial and structural information. These outputs form the basis of a comprehensive digital CIM model, which incorporates 3D mesh models and other datasets to support future analysis and applications. This model is envisioned to address urban challenges by offering an enhanced representation of built environments.
The study highlights the potential applications of UAV-based CIM in urban planning, particularly in improving data-driven decision-making and enhancing urban visualization. It underscores the transformative potential of CIM in fostering innovative, technology-driven urban planning methodologies.
The outputs of this study provide a foundation for researchers, planners, and policymakers to explore novel applications of CIM, driving advancements in sustainable urban development and evidence-based planning processes. The combination of systematic analysis, UAV-based data acquisition, and advanced processing methods offers valuable insights for both academic and practical advancements in the field.
References
Abusaada, H. and Elshater, A., 2022. Notes on developing research review in urban planning and urban design based on PRISMA statement. Social Sciences, 11(9), p.391.
Batty, M., 2007. Model cities. Town Planning Review, 78(2), pp.125-151.
Biljecki, F., Zhao, J., Stoter, J. and Ledoux, H., 2013. Revisiting the concept of level of detail in 3D city modelling. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, pp.63-74.
Kolbe, T.H., 2009. Representing and exchanging 3D city models with CityGML. In 3D geo-information sciences (pp. 15-31). Berlin, Heidelberg: Springer.
Lafarge, F. and Mallet, C., 2012. Creating large-scale city models from 3D-point clouds: a hybrid representation. International Journal of Computer Vision, 99, pp.69-85.
Page, M.J. et al., 2021. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372.
Sauerbier, M. and Eisenbeiss, H., 2010. UAVs for the documentation of archaeological excavations. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(5), pp.526-531.
Stöcker, C. et al., 2017. Review of the current state of UAV regulations. Remote Sensing, 9(5), p.459.
| Keywords | 3D City Information Modeling; UAV Technology; Urban Analysis; Photogrammetry |
|---|---|
| Best Congress Paper Award | Yes |
