Crown Detection

Crown Detection is a methodological contribution in the field of remote sensing and forestry science that identifies and delineates the spatial extent and boundaries of tree crowns from aerial or satellite imagery using image analysis techniques.

292

Publications

17.8K

Citations

1K

Authors

380

Institutions

Publications per year

2017–2026

149

Authors

1K

  1. SB
    Stephanie Bohlman

    University of Florida, United States

    8 publications · 743 citations

    8

    h-index

  2. LJ
    Lindi J. Quackenbush

    SUNY College of Environmental Science and Forestry, United States

    7 publications · 570 citations

    7

    h-index

  3. JH
    Johan Holmgren

    Swedish University of Agricultural Sciences, Sweden

    7 publications · 979 citations

    7

    h-index

  4. FA
    François A. Gougeon

    Canadian Forest Service, Canada

    7 publications · 977 citations

    7

    h-index

  5. XD
    Xavier Descombes

    Institut national de recherche en sciences et technologies du numérique, France

    6 publications · 261 citations

    6

    h-index

1–5 of 1K

Venues

  1. Remote Sensing

    46 publications · 2.7K citations

    28

    h-index

  2. Remote Sensing of Environment

    13 publications · 2.6K citations

    13

    h-index

  3. International Journal of Remote Sensing

    15 publications · 617 citations

    12

    h-index

  4. Computers and Electronics in Agriculture

    12 publications · 618 citations

    12

    h-index

  5. 11

    h-index

1–5