Concepedia

Lidar-based Vegetation Visualization

LiDAR-Based Vegetation Visualization is a computational visualization method that uses light detection and ranging (LiDAR) data to generate three-dimensional representations of vegetation structure, distinguished by its reliance on active remote sensing point cloud data to accurately model canopy geometry and spatial distribution.

11

Publications

563

Citations

54

Authors

29

Institutions

Publications per year

2017–2026

9

Parents

Publications

11

Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning

Joan R. Rosell-Polo, Jordi Llorens, Ricardo Sanz et al. · Agricultural and Forest Meteorology · 2009 · 265 citations · Full text

, , +17

Archaeological Application of Airborne LiDAR with Object-Based Vegetation Classification and Visualization Techniques at the Lowland Maya Site of Ceibal, Guatemala

Takeshi Inomata, Flory Pinzón, José Luis Ranchos et al. · Remote Sensing · 2017 · 72 citations · Full text

, , +17

Using high-resolution LiDAR data to quantify the three-dimensional structure of vegetation in urban green space

Rhiannon Caynes, Matthew G. E. Mitchell, Dan Wu et al. · Urban Ecosystems · 2016 · 53 citations

, , +16

Visualising the urban green volume: Exploring LiDAR voxels with tangible technologies and virtual models

Karen Anderson, Steven Hancock, Stefano Casalegno et al. · Landscape and Urban Planning · 2018 · 38 citations · Full text

, , +17

Extracting Wood Point Cloud of Individual Trees Based on Geometric Features

Zhonghua Su, Shihua Li, Hanhu Liu et al. · IEEE Geoscience and Remote Sensing Letters · 2019 · 35 citations

, , +17

1–5 of 11

Authors

54

  1. RC
    Rhiannon Caynes

    The University of Queensland, Australia

    1 publications · 53 citations

    1

    h-index

  2. NM
    N. Miura

    The University of Tokyo, Japan

    1 publications · 10 citations

    1

    h-index

  3. WC
    W. Cully Hession

    Virginia Tech, United States

    1 publications · 13 citations

    1

    h-index

  4. FC
    F. Camp

    Generalitat de Catalunya, Spain

    1 publications · 265 citations

    1

    h-index

  5. SH
    Steven Hancock

    Stanford University, United States

    1 publications · 38 citations

    1

    h-index

1–5 of 54

Institutions

29

  1. University of Maryland, College Park

    College Park, United States

    2 h-index

    2 publications

    51 citations

  2. Ministry of Environment

    Victoria, Canada

    1 h-index

    3 publications

    96 citations

  3. Osaka City University

    Osaka, Japan

    1 h-index

    1 publications

    72 citations

  4. Institute of Forest Ecology, Environment and Protection

    Beijing, China

    1 h-index

    2 publications

    28 citations

  5. Naruto University of Education

    Narutochō-mitsuishi, Japan

    1 h-index

    1 publications

    72 citations

  6. University of Electronic Science and Technology of China

    Chengdu, China

    1 h-index

    3 publications

    105 citations

  7. Universitat Politècnica de València

    Valencia, Spain

    1 h-index

    1 publications

    265 citations

  8. The University of Queensland

    Brisbane, Australia

    1 h-index

    5 publications

    265 citations

1–8 of 29

Venues

  1. Urban Ecosystems

    1 publications · 53 citations

    1

    h-index

  2. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 35 citations

    1

    h-index

  3. Remote Sensing

    1 publications · 72 citations

    1

    h-index

  4. Agricultural and Forest Meteorology

    1 publications · 265 citations

    1

    h-index

  5. Landscape and Urban Planning

    1 publications · 38 citations

    1

    h-index

1–5