Forest Biometrics

Forest biometrics is a quantitative science within forestry that applies statistical methods to measure, assess, and analyze the biological and physical characteristics of forest ecosystems and their components.

7.9K

Publications

429.5K

Citations

17.7K

Authors

3.1K

Institutions

Publications per year

2017–2026

1.7K

Authors

17.7K

  1. MM
    Matti Maltamo

    University of Eastern Finland, Finland

    48 publications · 3.2K citations

    32

    h-index

  2. HE
    Harold E. Burkhart

    Virginia Tech, United States

    51 publications · 2.7K citations

    31

    h-index

  3. EN
    Erik Næsset

    Norwegian University of Life Sciences, Norway

    36 publications · 3.6K citations

    29

    h-index

  4. HM
    Harri Mäkinen

    Finnish Environment Institute, Finland

    36 publications · 2.2K citations

    26

    h-index

  5. HP
    Hans Pretzsch

    Technical University of Munich, Germany

    33 publications · 3.5K citations

    26

    h-index

1–5 of 17.7K

Venues

  1. Remote Sensing of Environment

    230 publications · 28.2K citations

    98

    h-index

  2. Forest Ecology and Management

    588 publications · 38.4K citations

    97

    h-index

  3. Canadian Journal of Forest Research

    824 publications · 41.2K citations

    93

    h-index

  4. Forest Science

    247 publications · 16.2K citations

    66

    h-index

  5. Tree Physiology

    140 publications · 12.7K citations

    65

    h-index

1–5

See also

Forest Biometrics

Core Methods

Applications

Measured Traits

Model Validation

Data Sources