Inventory-based Height Estimation

Inventory-Based Height Estimation is a methodological approach in forest mensuration that uses ground-based inventory data, such as diameter at breast height and species information, to predict tree height through empirical or statistical models derived from calibrated sample measurements.

26

Publications

734

Citations

87

Authors

37

Institutions

Publications per year

2017–2026

6

Authors

87

  1. DW
    David W. Hann

    Oregon State University, United States

    3 publications · 85 citations

    3

    h-index

  2. ML
    Mark L. Hanus

    GTx (United States), United States

    2 publications · 42 citations

    2

    h-index

  3. DD
    David D. Marshall

    Pacific Northwest Research Station, United States

    2 publications · 42 citations

    2

    h-index

  4. JG
    Joey Gallion

    Purdue University West Lafayette, United States

    1 publications · 30 citations

    1

    h-index

  5. MJ
    Meghdad Jourgholami

    University of Tehran, Iran

    1 publications · 40 citations

    1

    h-index

1–5 of 87

Venues

  1. Canadian Journal of Forest Research

    2 publications · 94 citations

    2

    h-index

  2. Scandinavian Journal of Forest Research

    2 publications · 37 citations

    2

    h-index

  3. Forest Ecology and Management

    2 publications · 126 citations

    2

    h-index

  4. Forests

    1 publications · 40 citations

    1

    h-index

  5. Ciência e Agrotecnologia

    1 publications · 19 citations

    1

    h-index

1–5