Canopy Base Height Estimation

Canopy Base Height Estimation is a LiDAR-derived forest structural metric that identifies the vertical position of the lowest persistent live crown layer in a tree or canopy, distinguishing it from other canopy height descriptors by specifically quantifying the base elevation of photosynthetically active foliage.

53

Publications

3.4K

Citations

203

Authors

88

Institutions

Publications per year

2017–2026

26

Authors

203

  1. EG
    Eduardo González‐Ferreiro

    Universidade de Santiago de Compostela, Spain

    4 publications · 203 citations

    4

    h-index

  2. AD
    Ana Daría Ruiz-González

    Universidade de Santiago de Compostela, Spain

    4 publications · 185 citations

    4

    h-index

  3. JG
    Juan Gabriél Álvarez‐González

    Universidade de Santiago de Compostela, Spain

    4 publications · 185 citations

    4

    h-index

  4. GD
    Guangshuang Duan

    Institute of Forest Resource Information Techniques, China

    3 publications · 71 citations

    3

    h-index

  5. SA
    Stéfano Arellano-Pérez

    Universidade de Santiago de Compostela, Spain

    3 publications · 142 citations

    3

    h-index

1–5 of 203

Venues

  1. Remote Sensing

    9 publications · 489 citations

    10

    h-index

  2. International Journal of Wildland Fire

    6 publications · 495 citations

    6

    h-index

  3. Remote Sensing of Environment

    6 publications · 592 citations

    6

    h-index

  4. Forest Ecology and Management

    6 publications · 314 citations

    6

    h-index

  5. Forests

    3 publications · 126 citations

    3

    h-index

1–5