Canopy Structure Retrieval

Canopy Structure Retrieval is a methodological framework within lidar remote sensing that enables the characterization of vertical and horizontal foliage distribution in vegetated ecosystems through three-dimensional point cloud analysis and geometric modeling.

230

Publications

18.9K

Citations

909

Authors

370

Institutions

Publications per year

2017–2026

84

Authors

909

  1. RD
    Ralph Dubayah

    University of Maryland, College Park, United States

    11 publications · 1.8K citations

    11

    h-index

  2. FM
    Felix Morsdorf

    University of Zurich, Switzerland

    11 publications · 1.1K citations

    11

    h-index

  3. ME
    Michael E. Schaepman

    University of Zurich, Switzerland

    7 publications · 425 citations

    7

    h-index

  4. DL
    David L.B. Jupp

    CSIRO Land and Water, Australia

    6 publications · 692 citations

    6

    h-index

  5. GZ
    Guang Zheng

    Nanjing University, China

    6 publications · 476 citations

    6

    h-index

1–5 of 909

Venues

  1. Remote Sensing of Environment

    63 publications · 7.7K citations

    47

    h-index

  2. Agricultural and Forest Meteorology

    22 publications · 2.2K citations

    21

    h-index

  3. 15

    h-index

  4. Remote Sensing

    17 publications · 808 citations

    14

    h-index

  5. 13

    h-index

1–5