Forest Inventory Mapping

Forest Inventory Mapping is a geospatial methodology that systematically characterizes and delineates forest attributes—such as tree density, biomass, and canopy height—over large areas by integrating LiDAR-derived point cloud data with statistical or machine learning models to produce spatially explicit representations of forest structure and composition.

1.1K

Publications

69.6K

Citations

4.1K

Authors

1.2K

Institutions

Publications per year

2017–2026

543

Authors

4.1K

  1. MA
    Michael A. Wulder

    Canadian Forest Service, Canada

    35 publications · 3.5K citations

    27

    h-index

  2. JH
    Juha Hyyppä

    Finnish Geospatial Research Institute, Finland

    38 publications · 4.4K citations

    26

    h-index

  3. EN
    Erik Næsset

    Norwegian University of Life Sciences, Norway

    28 publications · 3.4K citations

    25

    h-index

  4. JC
    Joanne C. White

    Canadian Forest Service, Canada

    29 publications · 3.1K citations

    22

    h-index

  5. RE
    Ronald E. McRoberts

    Northern Research Station, United States

    29 publications · 1.8K citations

    22

    h-index

1–5 of 4.1K

Venues

  1. Remote Sensing of Environment

    105 publications · 11.6K citations

    64

    h-index

  2. Remote Sensing

    138 publications · 7.1K citations

    49

    h-index

  3. Forest Ecology and Management

    52 publications · 3K citations

    31

    h-index

  4. 30

    h-index

  5. Forests

    44 publications · 2.6K citations

    24

    h-index

1–5