Survey Data Validation

Survey Data Validation is a systematic methodological process in mine survey data processing that verifies the accuracy, consistency, and reliability of collected spatial and geotechnical data by applying predefined quality control criteria to detect and correct measurement errors, outliers, and discrepancies, thereby ensuring conformance with established surveying standards and project specifications.

119

Publications

5.5K

Citations

757

Authors

346

Institutions

Publications per year

2017–2026

51

Authors

757

  1. SP
    S. P. Ahlen

    Boston University, United States

    12 publications · 1.2K citations

    12

    h-index

  2. GT
    G. Tarlé

    University of Michigan, United States

    12 publications · 1.2K citations

    12

    h-index

  3. SB
    S. Bailey

    Lawrence Berkeley National Laboratory, United States

    12 publications · 1.2K citations

    12

    h-index

  4. AM
    Aaron Meisner

    Lawrence Berkeley National Laboratory, United States

    12 publications · 1.2K citations

    12

    h-index

  5. JM
    John Moustakas

    Siena College, United States

    12 publications · 1.2K citations

    12

    h-index

1–5 of 757

Venues

  1. The Astronomical Journal

    AJ · 5 publications · 776 citations

    5

    h-index

  2. 3

    h-index

  3. Economica

    2 publications · 105 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 48 citations

    2

    h-index

  5. Digital Commons - USU (Utah State University)

    Repository · 2 publications · 40 citations

    2

    h-index

1–5