Cadastral Data Quality

Cadastral Data Quality is a measurement framework that evaluates the accuracy, completeness, consistency, and currency of cadastral data in relation to established spatial, legal, and administrative standards.

38

Publications

979

Citations

88

Authors

42

Institutions

Publications per year

2017–2026

25

Authors

88

  1. CI
    Charalabos Ioannidis

    National Technical University of Athens, Greece

    4 publications · 76 citations

    4

    h-index

  2. CP
    Chryssy Potsiou

    National Technical University of Athens, Greece

    4 publications · 76 citations

    4

    h-index

  3. MM
    Monika Mika

    University of Agriculture in Krakow, Poland

    4 publications · 73 citations

    4

    h-index

  4. AR
    Abbas Rajabifard

    The University of Melbourne, Australia

    3 publications · 70 citations

    3

    h-index

  5. CL
    C. Lemmen

    University of Twente, Netherlands

    1 publications · 12 citations

    2

    h-index

1–5 of 88

Venues

  1. Land Use Policy

    9 publications · 277 citations

    9

    h-index

  2. Survey Review

    5 publications · 91 citations

    5

    h-index

  3. Land

    3 publications · 44 citations

    3

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 3 publications · 74 citations

    3

    h-index

  5. Computers Environment and Urban Systems

    2 publications · 70 citations

    2

    h-index

1–5