Tree Counting

Tree Counting is a remote sensing-based method for forest inventory that identifies and quantifies individual trees within a given area using aerial or satellite imagery, distinguished from other inventory methods by its focus on discrete tree-level detection rather than aggregate canopy or stand-level metrics.

149

Publications

6K

Citations

540

Authors

255

Institutions

Publications per year

2017–2026

61

Authors

540

  1. MB
    Martin Brandt

    University of Copenhagen, Denmark

    3 publications · 675 citations

    3

    h-index

  2. AK
    Ankit Kariryaa

    University of Copenhagen, Denmark

    3 publications · 675 citations

    3

    h-index

  3. MW
    Muhammad Waleed

    University of Engineering and Technology Peshawar, Pakistan

    3 publications · 108 citations

    3

    h-index

  4. CI
    Christian Igel

    University of Copenhagen, Denmark

    3 publications · 675 citations

    3

    h-index

  5. EM
    Edgar M. Palmer

    Michigan State University, United States

    3 publications · 79 citations

    3

    h-index

1–5 of 540

Venues

  1. Remote Sensing

    9 publications · 772 citations

    9

    h-index

  2. Journal of Combinatorial Theory Series A

    4 publications · 118 citations

    4

    h-index

  3. International Journal of Remote Sensing

    4 publications · 149 citations

    4

    h-index

  4. American Mathematical Monthly

    4 publications · 109 citations

    4

    h-index

  5. IEEE Access

    3 publications · 88 citations

    3

    h-index

1–5