Tree Biometrics

Tree Biometrics is a quantitative methodological framework that uniquely identifies and analyzes individual trees or tree populations through measurable biological and structural characteristics derived from proximal or remote sensing data.

187

Publications

8.9K

Citations

724

Authors

289

Institutions

Publications per year

2017–2026

42

Parents

Authors

724

  1. GG
    Giovanni G. Vendramin

    National Research Council, Italy

    4 publications · 103 citations

    4

    h-index

  2. RS
    Rudolf Schraml

    University of Salzburg, Austria

    3 publications · 40 citations

    3

    h-index

  3. AK
    Anna K. Jasiñska

    Institute of Dendrology, Poland

    3 publications · 95 citations

    3

    h-index

  4. AU
    Andreas Uhl

    University of Salzburg, Austria

    3 publications · 40 citations

    3

    h-index

  5. AB
    Adam Boratyński

    Polish Academy of Sciences, Poland

    3 publications · 95 citations

    3

    h-index

1–5 of 724

Venues

  1. Canadian Journal of Forest Research

    11 publications · 599 citations

    11

    h-index

  2. Remote Sensing of Environment

    10 publications · 1.4K citations

    10

    h-index

  3. Forest Ecology and Management

    8 publications · 631 citations

    8

    h-index

  4. Heredity

    6 publications · 580 citations

    6

    h-index

  5. Forests

    6 publications · 154 citations

    6

    h-index

1–5