Concepedia

Canopy Height Mapping

Canopy Height Mapping is a remote sensing methodology that generates spatially explicit representations of vegetation vertical structure by differentiating canopy surface elevation from underlying terrain elevation using active or passive sensor data.

737

Publications

47.9K

Citations

2.9K

Authors

926

Institutions

Publications per year

2017–2026

406

Parents

Publications

737

Mapping global forest canopy height through integration of GEDI and Landsat data

Peter Potapov, Xinyuan Li, Andrés Hernández-Serna et al. · Remote Sensing of Environment · 2020 · 1.4K citations

, , +14

Mapping forest canopy height globally with spaceborne lidar

Marc Simard, N. Pinto, Joshua B. Fisher et al. · Journal of Geophysical Research Atmospheres · 2011 · 1.3K citations · Full text

, , +17

LiDAR remote sensing of forest structure

Kevin Lim, Paul Treitz, Michael A. Wulder et al. · Progress in Physical Geography Earth and Environment · 2003 · 1.1K citations

, , +17

A New Method for Segmenting Individual Trees from the Lidar Point Cloud

Wenkai Li, Qinghua Guo, M. Jakubowski et al. · Photogrammetric Engineering & Remote Sensing · 2012 · 733 citations · Full text

, , +16

Estimates of forest canopy height and aboveground biomass using ICESat

M. A. Lefsky, David J. Harding, Michael Keller et al. · Geophysical Research Letters · 2005 · 669 citations · Full text

, , +17

1–5 of 737

Authors

2.9K

  1. MA
    Michael A. Wulder

    Canadian Forest Service, Canada

    13 publications · 2.1K citations

    13

    h-index

  2. MS
    Marc Simard

    Jet Propulsion Laboratory, United States

    13 publications · 1.9K citations

    12

    h-index

  3. RD
    Ralph Dubayah

    University of Maryland, College Park, United States

    12 publications · 2K citations

    11

    h-index

  4. JH
    Juha Hyyppä

    Finnish Geospatial Research Institute, Finland

    11 publications · 1.1K citations

    11

    h-index

  5. YP
    Yong Pang

    Institute of Forest Resource Information Techniques, China

    10 publications · 343 citations

    10

    h-index

1–5 of 2.9K

Institutions

926

  1. Chinese Academy of Sciences

    Beijing, China

    28 h-index

    173 publications

    10.9K citations

  2. University of Maryland, College Park

    College Park, United States

    26 h-index

    90 publications

    23.4K citations

  3. Jet Propulsion Laboratory

    Pasadena, United States

    25 h-index

    50 publications

    5K citations

  4. Goddard Space Flight Center

    Greenbelt, United States

    23 h-index

    70 publications

    8K citations

  5. State Key Laboratory of Remote Sensing Science

    Beijing, China

    20 h-index

    84 publications

    5.2K citations

  6. Natural Resources Canada

    Ottawa, Canada

    20 h-index

    43 publications

    4.4K citations

  7. Canadian Forest Service

    Ottawa, Canada

    20 h-index

    42 publications

    5.2K citations

  8. Centre National de la Recherche Scientifique

    Paris, France

    18 h-index

    52 publications

    2.5K citations

1–8 of 926

Venues

  1. Remote Sensing

    157 publications · 7.4K citations

    50

    h-index

  2. Remote Sensing of Environment

    50 publications · 7.5K citations

    42

    h-index

  3. International Journal of Remote Sensing

    37 publications · 3.1K citations

    26

    h-index

  4. 25

    h-index

  5. Forests

    29 publications · 1.7K citations

    20

    h-index

1–5