Lidar-based Volume Estimation

LiDAR-Based Volume Estimation is a remote sensing methodology that uses light detection and ranging (LiDAR) data to compute three-dimensional volumetric measurements of physical objects or terrain, distinguished by its reliance on active laser scanning to generate high-resolution point clouds for precise spatial analysis.

77

Publications

4.3K

Citations

313

Authors

136

Institutions

Publications per year

2017–2026

34

Authors

313

  1. JR
    Joan R. Rosell-Polo

    Universitat de Lleida, Spain

    3 publications · 363 citations

    3

    h-index

  2. RS
    Ricardo Sanz

    Universitat de Lleida, Spain

    3 publications · 363 citations

    3

    h-index

  3. AH
    Ayman Habib

    Purdue University West Lafayette, United States

    3 publications · 105 citations

    3

    h-index

  4. MD
    Michele Dalponte

    Fondazione Edmund Mach, Italy

    3 publications · 145 citations

    3

    h-index

  5. JL
    Jordi Llorens

    Universitat de Lleida, Spain

    3 publications · 397 citations

    3

    h-index

1–5 of 313

Venues

  1. Remote Sensing of Environment

    7 publications · 798 citations

    7

    h-index

  2. Remote Sensing

    5 publications · 123 citations

    5

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. Computers and Electronics in Agriculture

    3 publications · 156 citations

    3

    h-index

1–5