Point Cloud Vegetation Visualization

Point Cloud Vegetation Visualization is a computational method that generates three-dimensional graphical representations of vegetation structures by rendering and organizing spatially distributed point data acquired from remote sensing technologies, distinguishing itself through its direct use of unstructured point cloud datasets to preserve geometric fidelity and structural detail in plant canopy modeling.

2

Publications

41

Citations

13

Authors

3

Institutions

Publications per year

2017–2026

1

Authors

13

  1. SW
    Sheng Wu

    University of California, Los Angeles, United States

    1 publications · 30 citations

    1

    h-index

  2. PH
    P. H. Fewster

    Western University, Canada

    1 publications · 11 citations

    1

    h-index

  3. HH
    Haoyuan Hao

    National Engineering Research Center for Information Technology in Agriculture, China

    1 publications · 30 citations

    1

    h-index

  4. HL
    Hongxin Li

    South China Agricultural University, China

    1 publications · 30 citations

    1

    h-index

  5. LX
    Longqin Xu

    Zhongkai University of Agriculture and Engineering, China

    1 publications · 30 citations

    1

    h-index

1–5 of 13

Venues

  1. Biosystems Engineering

    1 publications · 30 citations

    1

    h-index

  2. Canadian Journal of Botany

    1 publications · 11 citations

    1

    h-index

  3. Remote Sensing

    1 publications · 10 citations

  4. Fire

    1 publications · 10 citations

1–4