Lidar Data Modeling

LiDAR Data Modeling is a spatial data modeling approach that systematically represents and organizes three-dimensional point cloud data acquired through Light Detection and Ranging (LiDAR) technology for geospatial analysis and interpretation.

158

Publications

6.7K

Citations

643

Authors

324

Institutions

Publications per year

2017–2026

75

Authors

643

  1. JG
    Jean‐Philippe Gastellu‐Etchegorry

    Centre d'Études Spatiales de la Biosphère, France

    4 publications · 296 citations

    4

    h-index

  2. NL
    Nicolas Lauret

    Centre d'Études Spatiales de la Biosphère, France

    4 publications · 296 citations

    4

    h-index

  3. NC
    Nicholas C. Coops

    University of British Columbia, Canada

    4 publications · 372 citations

    4

    h-index

  4. CM
    Clément Mallet

    Institut national de l’information géographique et forestière, France

    3 publications · 128 citations

    3

    h-index

  5. CH
    Christian Heipke

    Leibniz University Hannover, Germany

    3 publications · 151 citations

    3

    h-index

1–5 of 643

Venues

  1. 8

    h-index

  2. Remote Sensing of Environment

    8 publications · 783 citations

    8

    h-index

  3. Remote Sensing

    6 publications · 212 citations

    6

    h-index

  4. Sensors

    5 publications · 158 citations

    5

    h-index

  5. Applied Energy

    3 publications · 194 citations

    3

    h-index

1–5