@article{apostolopoulos2022improve,

title = {How to Improve Quality of Crowdsourced Cadastral Surveys},

author = {Konstantinos Apostolopoulos and Chryssy Potsiou},

url = {https://www.mdpi.com/2073-445X/11/10/1642},

doi = {10.3390/land11101642},

issn = {2073-445X},

year  = {2022},

date = {2022-09-23},

journal = {Land},

volume = {11},

number = {10},

pages = {1642},

publisher = {MDPI},

abstract = {The potential for introducing voluntary citizen participation, combined with mobile services, for cadastral data collection for a systematic first registration has been thoroughly investigated and even implemented in some official projects. This data collection procedure can technically be ac-complished safely, but results have shown that many participants have difficulty in identifying the land parcels (location, shape and size) on the base-map (orthophoto, air-photo, etc.) correctly. Either they have to ask the assistance of a private professional, or there is a high risk that a number of errors may appear in the submitted crowdsourced data. This paper investigates how to improve the quality of such crowdsourced cadastral data, by adding to the base-map any available and relevant geospatial and descriptive information that may help the participants to correctly identify their land parcel. In particular, the research investigates and suggests (a) which types of available geospatial information should be added to the base-map and by whom (professionals or a group of trained volunteers), and (b) the necessary quality controls that must be made in the compilation of the advanced crowdsourced base-map\textemdasha case study follows to assess the suggested proposal. In addition, this paper provides an updated version of the crowdsourced methodology for cadastral surveys as modelled by the authors in an earlier stage of their research. This updated version briefly includes all quality controls needed to ensure the quality of a modern cadastre that the authors will further investigate in a subsequent stage.},

keywords = {cadastral basemap, Cadastre, Crowdsourcing, Land administration, quality controls},

pubstate = {published},

tppubtype = {article}

}

@article{Potsiou2020,

title = {Reliable 2D Crowdsourced Cadastral Surveys: Case Studies from Greece and Romania},

author = {Chryssy Potsiou and Cornel Paunescu and Charalabos Ioannidis and Konstantinos Apostolopoulos and Florin Nache},

url = {www.mdpi.com/journal/ijgi https://www.mdpi.com/2220-9964/9/2/89},

doi = {10.3390/ijgi9020089},

issn = {2220-9964},

year  = {2020},

date = {2020-02-01},

journal = {ISPRS Int. J. Geo-Information},

volume = {9},

number = {2},

pages = {89},

abstract = {This paper is part of a doctoral dissertation (PhD) research that investigates the development of a procedure for reliable 2D crowdsourced cadastral surveying introducing the use of new Information Technology IT tools and increased citizen participation, supported by m-services. For the development of this procedure, the formal cadastral procedure applied currently in two Europeans countries, Greece and Romania, for their modern nation-wide projects is firstly investigated. The first part of this paper briefly investigates the current stage of progress of those projects in both countries, as well as the specifications and procedures applied for the cadastral surveys, and assesses the level of participation of the right holders and the efficiency of the current procedures. Then, a proposal for a crowdsourced general procedure with increased participation of the right holders in the initial cadastral data collection phase is designed that it may be of value either for the planners of those two projects to improve their projects towards a more fit-for-purpose approach and successfully meet the deadlines timely, or for researchers and planners of other projects with similar nation-wide approaches which also require accurate, assured and authoritative end products. For the assessment of the applicability of the proposal, three case studies are held and tested in urban, rural and suburban areas in both countries, using both a commercial application and an open source one. These crowdsourced surveys are compared to the formal cadastral surveys that have been compiled by cadastral professionals in both countries and the achieved results are assessed and judged as satisfactory in terms of geometric accuracies and the avoidance of gross errors in the location of the parcels. A proposal for future research in order to further improve the proposed procedure is discussed.},

keywords = {Cadastre, Crowdsourcing, Land administration, opensource},

pubstate = {published},

tppubtype = {article}

}

@article{Apostolopoulos2018,

title = {A new model for cadastral surveying using crowdsourcing},

author = {K Apostolopoulos and M Geli and P Petrelli and C Potsiou and C Ioannidis},

url = {https://www.tandfonline.com/doi/abs/10.1080/00396265.2016.1253522},

doi = {10.1080/00396265.2016.1253522},

issn = {17522706},

year  = {2018},

date = {2018-03-01},

journal = {Surv. Rev.},

volume = {50},

number = {359},

pages = {122--133},

publisher = {Taylor and Francis Ltd.},

abstract = {A ‘fit-for-purpose' approach is developed, tested and presented for cadastral surveys through increased owners' participation using new technology and m-government services. Three case studies are reported, for urban, suburban and rural areas, with a combined use of two mobile applications: a commercial software package (ESRI's Collector for ArcGIS) and an opensource self-developed application named BoundGeometry. The parameters of time, quality and accuracy are assessed and the identified difficulties are classified. It is concluded that the method is applicable both in developed and developing countries, and each time adjustable to the available infrastructure.},

keywords = {Cadastre, Crowdsourcing, Gamification, Mobile device, VGI},

pubstate = {published},

tppubtype = {article}

}