Canopy Classification

Canopy Classification is a methodological framework within canopy sensing that categorizes vegetation canopies based on spectral, structural, or physiological characteristics to distinguish between different plant types, health statuses, or growth stages using remote sensing data.

73

Publications

5.7K

Citations

231

Authors

84

Institutions

Publications per year

2017–2026

17

Authors

231

  1. PF
    Paul F. Hessburg

    Pacific Northwest Research Station, United States

    2 publications · 121 citations

    2

    h-index

  2. JD
    Jürgen Dengler

    University of Bayreuth, Germany

    2 publications · 58 citations

    2

    h-index

  3. PL
    Penelope Latham

    University of Montana, United States

    2 publications · 121 citations

    2

    h-index

  4. AW
    A. W. Küchler

    University of Kansas, United States

    2 publications · 52 citations

    2

    h-index

  5. KL
    Kevin L. O’Hara

    University of California, Berkeley, United States

    2 publications · 121 citations

    2

    h-index

1–5 of 231

Venues

  1. Phytocoenologia

    7 publications · 225 citations

    7

    h-index

  2. Remote Sensing of Environment

    6 publications · 539 citations

    6

    h-index

  3. 5

    h-index

  4. Computers and Electronics in Agriculture

    3 publications · 148 citations

    3

    h-index

  5. Journal of Vegetation Science

    JVS · 2 publications · 99 citations

    2

    h-index

1–5