@article{potsiou2022prototype,

title = {A Prototype Machine Learning Tool Aiming to Support 3D Crowdsourced Cadastral Surveying of Self-Made Cities},

author = {Chryssy Potsiou and Nikolaos Doulamis and Nikolaos Bakalos and Maria Gkeli and Charalabos Ioannidis and Selena Markouizou},

url = {https://www.mdpi.com/2073-445X/12/1/8},

doi = {10.3390/land12010008},

issn = {2073-445X},

year  = {2022},

date = {2022-12-16},

urldate = {2022-12-16},

journal = {Land},

volume = {12},

number = {1},

pages = {8},

publisher = {MDPI},

abstract = {Land administration and management systems (LAMSs) have already made progress in the field of 3D Cadastre and the visualization of complex urban properties to support property markets and provide geospatial information for the sustainable management of smart cities. However, in less developed economies, with informally developed urban areas\textemdashthe so-called self-made cities\textemdashthe 2D LAMSs are left behind. Usually, they are less effective and mainly incomplete since a large number of informal constructions remain unregistered. This paper presents the latest results of an innovative on-going research aiming to structure, test and propose a low-cost but reliable enough methodology to support the simultaneous and fast implementation of both 2D land parcel and 3D property unit registration of informal, multi-story and unregistered constructions. An Indoor Positioning System (IPS) built upon low-cost Bluetooth technology combined with an innovative machine learning algorithm and connected with a 3D LADM-based cadastral mapping mobile application are the two key components of the technical solution under investigation. The proposed solution is tested for the first floor of a multi-room office building. The main conclusions concern the potential, usability and reliability of the method.},

keywords = {3D cadastre, 3D mapping, Crowdsourcing, indoor localization, informal development, Machine Learning},

pubstate = {published},

tppubtype = {article}

}

@article{andritsou2022bim,

title = {A BIM/IFC \textendash LADM SOLUTION ALIGNED TO THE GREEK LEGISLATION},

author = {D Andritsou and M Gkeli and S Soile and C Potsiou},

url = {https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2022/471/2022/},

doi = {10.5194/isprs-archives-XLIII-B4-2022-471-2022},

issn = {2194-9034},

year  = {2022},

date = {2022-06-02},

journal = {Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.},

volume = {XLIII-B4-2},

pages = {471--477},

publisher = {Copernicus GmbH},

abstract = {Abstract. The ongoing rapid urbanization has led to the emerge of several complex infrastructures distinguished by multi-dimensional and overlapping property rights. The option of integrating BIM data into LA, aligned with international standards and able to handle the three-dimensional (3D) aspect of cadastral objects utilizing contemporary technologies, may be of a great importance. The main objective of this paper is to investigate the potential integration of the Building Information Model (BIM) and the Industry Foundation Classes (IFC) standard, with the international standard of Land Administration Domain Model (LADM ISO 19152 2012), in order to provide a unified solution for the registration and visualization of 3D spatial and sematic information regarding the complex Rights, Restrictions and Responsibilities (RRR) in the new complex constructions. The proposed solution aims to exploit the available 2D plans for the generation of BIMs; and rely on international LADM's constructional guidelines to provide a standardized cadastral database harmonized with the national Greek cadastral and the legal framework and aligned with the current Greek building code. The proposed framework is tested for two multi-storey buildings. The first results are promising constituting an important tool, for the implementation of 3D cadastres.},

keywords = {3D cadastre, BIM, Greek Legislation, IFC, LADM, Volumetric Rights Restrictions Responsibilities},

pubstate = {published},

tppubtype = {article}

}

@article{Gkeli2020,

title = {A technical solution for 3D crowdsourced cadastral surveys},

author = {Maria Gkeli and Chryssy Potsiou and Charalabos Ioannidis},

url = {https://ideas.repec.org/a/eee/lauspo/v98y2020ics0264837719306660.html},

doi = {10.1016/j.landusepol.2019},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Land Use Policy},

volume = {98},

abstract = {The development of 3D property registration systems is indispensable for the spatial determination of property Rights, Restrictions and Responsibilities (RRR), the sustainable operation of property markets and the safeguarding of ownership in the highly urbanized world. Several developments in computer graphics, 3D modelling and rendering techniques have attracted the growing global interest in 3D cadastre. Since 2012, the Land Administration Domain Model (LADM ISO 19152) is adopted as the international standard for 2D and 3D cadastral data modelling. Developed legal procedures and prototype systems for 3D property rights registration provide interesting solutions for data acquisition and visualization but such approaches are time and cost demanding. In parallel, 2D cadastral surveying procedures have progressed significantly in reducing required time and cost, utilizing crowdsourcing methodology and mobile services.},

keywords = {3D cadastre, 3D modelling, 3D spatial data, Crowdsourcing, LADM, visualization},

pubstate = {published},

tppubtype = {article}

}

@article{Gkeli2019,

title = {Crowdsourced 3D cadastral surveys: looking towards the next 10 years},

author = {Maria Gkeli and Chryssy Potsiou and Charalabos Ioannidis},

url = {https://ideas.repec.org/a/kap/jgeosy/v21y2019i1d10.1007_s10109-018-0287-0.html},

doi = {10.1007/s10109-018-0287-0},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Geographical Systems},

volume = {21},

number = {1},

pages = {61-87},

publisher = {Springer Verlag},

abstract = {Rapidly growing cities, multiple uses of urban space and the complexity of overlapping property rights require various types of rights to be registered and handled in a uniform and reliable way, considering the third dimension. The adoption of automated and low-cost but reliable procedures for cadastral surveys and for the capture and processing of cadastral data, as well as the use of modern Information Technology (IT) tools and m-services, is the beginning of a new cadastral evolution. 3D-crowdsourced cadastral data capture has huge potential and may soon facilitate the work of National Mapping Agencies (NMAs). In this paper, an innovative fit-for-purpose procedure is designed and initially tested that aims to save time and costs and to provide a modern technical solution for the initial collection, registration and visualization of 3D cadastral data. An open-source, mobile application for the acquisition of 3D crowdsourced cadastral data and 3D modelling and visualization of property units is developed, tested and presented. The proposed technical procedure is adjustable and may be used in both the developed and the developing world. The geometric accuracy of the final product depends on the geometric accuracy of the basemaps used. The developed application is tested on a multi-story building in an urban area of Larisa, in Greece. An initial evaluation of the procedure and the final product, in terms of its usability, affordability, reliability and implementation duration, is conducted. The first results are satisfactory and may lead to a fit-for-purpose procedure for a 3D cadastre for all in the future.},

keywords = {3D cadastre, 3D modelling, Crowdsourcing, Land administration},

pubstate = {published},

tppubtype = {article}

}