Lidar-based Height Estimation

LiDAR-Based Height Estimation is a remote sensing methodology that employs light detection and ranging (LiDAR) technology to determine the vertical dimension of surface features by measuring the time delay between emitted laser pulses and their backscattered reflections, thereby enabling precise three-dimensional topographic reconstruction.

222

Publications

15.9K

Citations

843

Authors

360

Institutions

Publications per year

2017–2026

81

Authors

843

  1. FR
    Francesc Rocadenbosch

    Universitat Politècnica de Catalunya, Spain

    4 publications · 153 citations

    4

    h-index

  2. XZ
    Xiaoxiao Zhu

    Chinese Academy of Sciences, China

    3 publications · 128 citations

    3

    h-index

  3. JA
    John Armston

    University of Maryland, College Park, United States

    3 publications · 176 citations

    3

    h-index

  4. BL
    Boming Liu

    Wuhan University, China

    3 publications · 51 citations

    3

    h-index

  5. JM
    J. M. Baldasano

    Universitat Politècnica de Catalunya, Spain

    3 publications · 124 citations

    3

    h-index

1–5 of 843

Venues

  1. Remote Sensing

    21 publications · 1.5K citations

    20

    h-index

  2. Remote Sensing of Environment

    13 publications · 2.5K citations

    13

    h-index

  3. 11

    h-index

  4. International Journal of Remote Sensing

    10 publications · 586 citations

    10

    h-index

  5. 9

    h-index

1–5