Spotlight on a student: Ali Asghari
3D Cadastral Data Validation
Ali is a PhD candidate in the Centre for Spatial Data Infrastructures and Land Administration (CSDILA) at the University of Melbourne. He is aiming to complete his PhD thesis in late 2021. As a Geospatial engineer and researcher, he has been involved in several infrastructure development projects and actively researching geospatial issues. He has a background in Geomatics Engineering and has published several articles in geospatial domains such as 3D cadastre, 3D modelling and data validation, spatial analysis, and land-use change modelling using machine learning approaches. He is also enthusiastic about university teaching and assisting students to progress in their studies.
What is your research about?
There are many cadastral objects, ranging from simple 2D entities such as a land parcel to complex 3D objects such as multi-storey buildings. The complex infrastructure developments happening above and below the ground complicate the processes required for deﬁning rights, restrictions, and responsibilities in 3D (3D RRRs). Even in the current predominantly 3D analogue cadastral system that relies on 2D drawings and representations, deﬁning 3D RRRs is still a complicated task. With the widespread use of 3D geospatial technologies, it is increasingly becoming easy to realise and interpret a 3D digital cadastre system. As part of the transition process from the 2D representation of cadastre towards a 3D digital cadastre, not only will 2D representations be replaced with 3D models, but the examination workﬂow and its principles also need to be able to manage 3D models.
Developing principles and validation rules is a critical requirement to guarantee that the diverse cadastral data is trustworthy and contains enough detail to define ownership’s spatial and legal extents. My PhD project is part of an ARC linkage project, namely 3D Property Ownership Map Base for Smart Urban Land Administration. I contribute to developing 3D spatial validation rules to ensure cadastral data is accurately and correctly defined and their relationships are valid in 3D digital environments. In my research, first I developed a structured framework for 3D cadastral data validation by investigating the current 2D practice. Subsequently, methods and approaches using computational geometry algorithms were developed to check the internal and external spatial consistency and integrity of 3D parcels and their relationships in multi-storey buildings. I also extended my research to investigate the stages for generating cadastral data using the Building Information Model (BIM) and develop criteria and standards to check the validity of BIM-based cadastral data during and at the end of data generation. The findings of my research will potentially bring more efficiency to modern land administration processes by avoiding the accumulation of errors in 3D cadastral data generation and automating the 3D cadastral data examination process.
To learn more, you can read the following:
- A structured framework for 3D cadastral data validation − a case study for Victoria, Australia
- Advances in techniques to formulate the watertight concept for cadastre
- Formative and Summative Validation of Building Information Model-Based Cadastral Data
- Developing methods to check the validity of single 3D parcels and their relationships within a complex multi-storey building
Who are your supervisors?
My PhD project is supervised by distinguished academics Associate Professor Mohsen Kalantari and Professor Abbas Rajabifard from the Infrastructure Engineering department at the University of Melbourne.
What do you want to do next?
I would like to continue developing exciting research and industrial ideas to improve our built environment. With extensive knowledge and understanding of geospatial technologies, 3D spatial data modeling, validation, and analysis, I am passionate about integrating Digital Twin, Smart City and 3D Geospatial technologies with Machine Learning and Artificial Intelligence to develop practical solutions for real-world geospatial problems. I would also like to continue teaching to help future generations to innovate and advance their knowledge in the geospatial domain.
Have you received any awards?
I was awarded the Melbourne Research Scholarship and the Rowden White scholarship, which provided financial support throughout my PhD. I was also awarded a Distinguished Talent visa under Australia’s Global Talent Independent Program.