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Urban Cadastral Situation in Ecuador: Analysis to Determine the Degree of Proximity of the Cadastral Systems to the 3D Cadastral Model

Author

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  • Julia Velastegui-Cáceres

    (Department of Geology, Geography and Environment, University of Alcalá, 28801 Madrid, Spain)

  • Víctor M. Rodríguez-Espinosa

    (Department of Geology, Geography and Environment, University of Alcalá, 28801 Madrid, Spain)

  • Oswaldo Padilla-Almeida

    (Department of Earth and Construction Sciences, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171103, Ecuador)

Abstract

As 3D cadastres offer advantages in several areas by providing information with greater accuracy and a high level of detail, a diagnosis of the cadastral situation is required prior to the implementation of a 3D cadastral model. Therefore, this study focuses on diagnosing the urban cadastral situation in Ecuador based on an analysis of eight cantonal decentralized autonomous governments that were selected primarily for the availability of their cadastral information. The twelve characteristics included in the analysis supported the definition of a cadastral development scale based on the fulfillment of each characteristic. The official cadastral databases, meetings, and interviews with personnel related to the cadastres were used in the analysis to gain in-depth knowledge of the situation in each canton. The findings demonstrated that most cantons had similar characteristics and are at an intermediate level of cadastral development. Therefore, there is the need for cantons to have standardized cadastral information in accordance with national and international regulations. Thus, in this research, we developed an initial Ecuadorian land administration domain model country profile to initiate the transition towards 3D cadastre.

Suggested Citation

  • Julia Velastegui-Cáceres & Víctor M. Rodríguez-Espinosa & Oswaldo Padilla-Almeida, 2020. "Urban Cadastral Situation in Ecuador: Analysis to Determine the Degree of Proximity of the Cadastral Systems to the 3D Cadastral Model," Land, MDPI, vol. 9(10), pages 1-20, September.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:10:p:357-:d:420387
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    References listed on IDEAS

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    1. Xianghuan Luo & Rohan Mark Bennett & Mila Koeva & Christiaan Lemmen, 2017. "Investigating Semi-Automated Cadastral Boundaries Extraction from Airborne Laser Scanned Data," Land, MDPI, vol. 6(3), pages 1-23, September.
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    3. Mika, Monika, 2018. "An analysis of possibilities for the establishment of a multipurpose and multidimensional cadastre in Poland," Land Use Policy, Elsevier, vol. 77(C), pages 446-453.
    4. Larsson, Karolina & Paasch, Jesper M. & Paulsson, Jenny, 2020. "Representation of 3D cadastral boundaries - From analogue to digital," Land Use Policy, Elsevier, vol. 98(C).
    5. Tekavec, Jernej & Lisec, Anka, 2020. "Cadastral data as a source for 3D indoor modelling," Land Use Policy, Elsevier, vol. 98(C).
    6. Hae Ok Choi, 2020. "An Evolutionary Approach to Technology Innovation of Cadastre for Smart Land Management Policy," Land, MDPI, vol. 9(2), pages 1-19, February.
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    Cited by:

    1. Munkhbaatar Buuveibaatar & Kangjae Lee & Wonhee Lee, 2022. "Implementation of the LADM-Based Cadastral Model for Mongolia towards Transition to a 3D Cadastre," Land, MDPI, vol. 11(11), pages 1-18, November.
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