Individual Tree Modeling

Individual Tree Modeling is a computational method in forest inventory science that characterizes the three-dimensional structure and biometric properties of single trees using remotely sensed data, distinguished by its focus on delineating and analyzing trees as discrete entities rather than as part of a continuous canopy.

489

Publications

26.2K

Citations

1.5K

Authors

537

Institutions

Publications per year

2017–2026

147

Variants

Single Tree Modeling

Authors

1.5K

  1. HE
    Harold E. Burkhart

    Virginia Tech, United States

    11 publications · 457 citations

    11

    h-index

  2. AR
    Alan R. Ek

    University of Minnesota, United States

    9 publications · 633 citations

    9

    h-index

  3. AR
    Aaron R. Weiskittel

    University of Maine, United States

    9 publications · 213 citations

    9

    h-index

  4. QV
    Quang V. Cao

    Louisiana State University Agricultural Center, United States

    9 publications · 259 citations

    9

    h-index

  5. TP
    Timo Pukkala

    University of Eastern Finland, Finland

    9 publications · 325 citations

    9

    h-index

1–5 of 1.5K

Venues

  1. Forest Ecology and Management

    44 publications · 3.2K citations

    33

    h-index

  2. Canadian Journal of Forest Research

    60 publications · 3.2K citations

    31

    h-index

  3. Forest Science

    30 publications · 1.6K citations

    22

    h-index

  4. Remote Sensing

    15 publications · 1.2K citations

    15

    h-index

  5. Forests

    17 publications · 893 citations

    14

    h-index

1–5