Towards an Underground Utilities 3D Data Model for Land Administration

Abstract

With the pressure of the increasing density of urban areas, some public infrastructures are moving to the underground to free up space above, such as utility lines, rail lines and roads. In the big data era, the three-dimensional (3D) data can be beneficial to understand the complex urban area. Comparing to spatial data and information of the above ground, we lack the precise and detailed information about underground infrastructures, such as the spatial information of underground infrastructure, the ownership of underground objects and the interdependence of infrastructures in the above and below ground. How can we map reliable 3D underground utility networks and use them in the land administration? First, to explain the importance of this work and find a possible solution, this paper observes the current issues of the existing underground utility database in Singapore. A framework for utility data governance is proposed to manage the work process from the underground utility data capture to data usage. This is the backbone to support the coordination of different roles in the utility data governance and usage. Then, an initial design of the 3D underground utility data model is introduced to describe the 3D geometric and spatial information about underground utility data and connect it to the cadastral parcel for land administration. In the case study, the newly collected data from mobile Ground Penetrating Radar is integrated with the existing utility data for 3D modelling. It is expected to explore the integration of new collected 3D data, the existing 2D data and cadastral information for land administration of underground utilities.

Testing and Validating the Suitability of Geospatially Informed Proxies on Land Tenure in North Korea for Korean (Re-)Unification

“…It is only after knowledge (evidence) co-production processes, the finding of this study supports the view that we can bridge and close the gap between technical aspects of the EO data evidence generation and operational contexts in spatial decision making in land administration and management. Much of the available literature so far on remote sensing for land administration is too product-oriented for skilled and trained technicians [12][13][14][15][16][17][18][19] and insufficiently process-oriented for policymakers and end-users, allowing them to make decisions in the most rational and informed way possible with EO data [22]. The point is not to go against the promising ideas on RS applications, techniques, products, and methods, but to really emphasize that it is an opportune time to undertake the most engaged and negotiated knowledge for both evidence generation and provision of salient and legitimate evidence in responsible and smart decision-making in land administration.…”

“…Land administration deals with the people-to-land relationship, by describing, analyzing, designing, and measuring their relations that include social, economic, spatial, legal, and engineering perspectives [11]. Along with the growth of remote sensing applications in SES, there has been growing recognition and evidence of the vital links between remote sensing and land administration [12][13][14][15][16][17][18][19]. Geospatial data has emerged as powerful source of information for enabling both socio-technical assessment [20] and socio-legal analysis [21] in land administration sphere.…”

Remote Sensing for Land Administration

“…Sixth, Yan et al [37] head below the surface to tackle the issue of underground land tenure mapping and land use recordation. Increasing urban density and activity is resulting in public infrastructures moving underground.…”

A Praxis on Data Quality Evaluation of Underground Pipeline

“…The poor data quality will lead to the bias decision or analysis result. Many literature focus on the underground topic, such as pipeline change detection (Wang et al, 2019), the 3D data model for land administrative (Kalogianni et al, 2020;Yan et al, 2019), and so on. However, there are few work on underground pipeline spatial data quality.…”

“…Generally, the trajectory and location are the two important information for the underground pipeline. Therefore, integrated data acquisition technologies with conversional surveying equipment like Total station or Laser scanning photogrammetry, and the subsurface geophysical detection technologies like Ground Penetrating Radar or Electromagnetic Locators (Lagüela et al, 2018;Wai-Lok Lai et al, 2018;Yan et al, 2019) There are many factors on underground pipeline data quality. The manual importing error is the major error in underground pipeline data.…”