Log Volume Estimation

Log Volume Estimation is a computational method in forestry science that belongs to the class of volume estimation techniques, specifically distinguished by its application of geometric and statistical models to quantify the merchantable volume of individual felled tree logs based on diameter, length, and form class measurements.

139

Publications

5.8K

Citations

404

Authors

165

Institutions

Publications per year

2017–2026

26

Authors

404

  1. MM
    Matti Maltamo

    University of Eastern Finland, Finland

    8 publications · 356 citations

    8

    h-index

  2. MS
    Michael S. Williams

    Food Safety and Inspection Service, United States

    6 publications · 95 citations

    6

    h-index

  3. HV
    Harry V. Wiant

    West Virginia University, United States

    5 publications · 88 citations

    5

    h-index

  4. MJ
    Mark J. Ducey

    University of New Hampshire, United States

    5 publications · 70 citations

    5

    h-index

  5. JH
    Jeffrey H. Gove

    US Forest Service, United States

    5 publications · 102 citations

    5

    h-index

1–5 of 404

Venues

  1. Canadian Journal of Forest Research

    14 publications · 456 citations

    11

    h-index

  2. Scandinavian Journal of Forest Research

    9 publications · 200 citations

    9

    h-index

  3. Computers and Electronics in Agriculture

    7 publications · 223 citations

    7

    h-index

  4. Forest Ecology and Management

    6 publications · 250 citations

    6

    h-index

  5. Silva Fennica

    6 publications · 171 citations

    6

    h-index

1–5