Mine Survey Data Processing

Mine Survey Data Processing is a specialized branch of geospatial data analysis that involves the systematic transformation, validation, and interpretation of raw survey measurements collected in mining environments to produce accurate, reliable spatial information for operational, safety, and planning purposes.

69

Publications

2.5K

Citations

280

Authors

131

Institutions

Publications per year

2017–2026

35

Authors

280

  1. TT
    Tim T. Werner

    Monash University, Australia

    3 publications · 351 citations

    3

    h-index

  2. RK
    Roman Kapica

    VSB - Technical University of Ostrava, Czechia

    1 publications · 22 citations

    2

    h-index

  3. MG
    Massimo Guarascio

    Institute for High Performance Computing and Networking, Italy

    1 publications · 81 citations

    1

    h-index

  4. MT
    Megan Tones

    Queensland University of Technology, Australia

    1 publications · 42 citations

    1

    h-index

  5. FC
    Francesco Conni

    Ingegneria dei Sistemi (Italy), Italy

    1 publications · 29 citations

    1

    h-index

1–5 of 280

Venues

  1. Engineering Geology

    3 publications · 186 citations

    3

    h-index

  2. Journal of Applied Remote Sensing

    JARS · 2 publications · 38 citations

    2

    h-index

  3. Exploration Geophysics

    2 publications · 33 citations

    2

    h-index

  4. Arabian Journal of Geosciences

    2 publications · 31 citations

    2

    h-index

  5. International Journal of Coal Geology

    2 publications · 103 citations

    2

    h-index

1–5