Lidar-based Roughness

Lidar-Based Roughness is a terrain roughness metric that quantifies surface irregularities through high-resolution three-dimensional point cloud data acquired via light detection and ranging (LiDAR) technology, distinguishing itself from other roughness measures by its reliance on precise, active remote sensing observations to capture fine-scale topographic variability.

42

Publications

1.5K

Citations

152

Authors

80

Institutions

Publications per year

2017–2026

18

Authors

152

  1. JB
    John B. Lindsay

    University of Guelph, Canada

    4 publications · 106 citations

    4

    h-index

  2. AC
    A. Casas

    Consejo Superior de Investigaciones Científicas, Spain

    2 publications · 92 citations

    2

    h-index

  3. CH
    Chris H. Hugenholtz

    University of Calgary, Canada

    2 publications · 37 citations

    2

    h-index

  4. AB
    Aaron Berg

    University of Guelph, Canada

    2 publications · 34 citations

    2

    h-index

  5. OW
    Owen W. Brown

    University of Calgary, Canada

    2 publications · 37 citations

    2

    h-index

1–5 of 152

Venues

  1. Remote Sensing of Environment

    3 publications · 121 citations

    3

    h-index

  2. Geomorphology

    2 publications · 97 citations

    2

    h-index

  3. Hydrology and earth system sciences

    2 publications · 116 citations

    2

    h-index

  4. Canadian Journal of Remote Sensing

    2 publications · 29 citations

    2

    h-index

  5. Sustainability

    1 publications · 26 citations

    1

    h-index

1–5