Lidar-based Density Estimation

LiDAR-Based Density Estimation is a stand density estimation method that utilizes light detection and ranging (LiDAR) remote sensing data to quantify forest canopy structure and infer tree density through three-dimensional point cloud analysis.

141

Publications

8.9K

Citations

635

Authors

280

Institutions

Publications per year

2017–2026

56

Authors

635

  1. FP
    François Pimont

    Écologie des Forêts Méditerranéennes, France

    7 publications · 220 citations

    7

    h-index

  2. FH
    Fumiki Hosoi

    The University of Tokyo, Japan

    7 publications · 907 citations

    7

    h-index

  3. KO
    Kenji Omasa

    The University of Tokyo, Japan

    6 publications · 895 citations

    6

    h-index

  4. RF
    Richard Fournier

    Université de Sherbrooke, Canada

    6 publications · 614 citations

    6

    h-index

  5. JD
    Jean‐Luc Dupuy

    Écologie des Forêts Méditerranéennes, France

    6 publications · 195 citations

    6

    h-index

1–5 of 635

Venues

  1. Remote Sensing of Environment

    16 publications · 1.9K citations

    16

    h-index

  2. Remote Sensing

    15 publications · 879 citations

    15

    h-index

  3. International Journal of Remote Sensing

    7 publications · 349 citations

    7

    h-index

  4. Forest Ecology and Management

    6 publications · 574 citations

    6

    h-index

  5. 6

    h-index

1–5