Lidar Data Fusion

LiDAR Data Fusion is the systematic integration of LiDAR-derived measurements with complementary data sources—such as optical imagery, radar, or field observations—within a unified analytical framework to enhance the accuracy, resolution, or interpretability of forest structural and phenotypic trait characterization.

547

Publications

33.5K

Citations

2K

Authors

684

Institutions

Publications per year

2017–2026

288

Authors

2K

  1. JT
    John Trinder

    The University of Melbourne, Australia

    7 publications · 637 citations

    7

    h-index

  2. FR
    Franz Rottensteiner

    Leibniz University Hannover, Germany

    7 publications · 1.2K citations

    7

    h-index

  3. MA
    Mohammad Awrangjeb

    Griffith University, Australia

    6 publications · 568 citations

    6

    h-index

  4. LB
    Lorenzo Bruzzone

    University of Trento, Italy

    6 publications · 1.2K citations

    6

    h-index

  5. SC
    Simon Clode

    The University of Queensland, Australia

    6 publications · 616 citations

    6

    h-index

1–5 of 2K

Venues

  1. Remote Sensing of Environment

    34 publications · 5.4K citations

    33

    h-index

  2. Remote Sensing

    47 publications · 1.9K citations

    27

    h-index

  3. 19

    h-index

  4. Photogrammetric Engineering & Remote Sensing

    16 publications · 1.6K citations

    16

    h-index

  5. 15

    h-index

1–5