Lidar Data Integration

Lidar Data Integration is the systematic process of aligning, fusing, and contextualizing lidar-derived spatial data with complementary remote sensing data sources or auxiliary geospatial information to enhance feature extraction, improve accuracy, and support comprehensive environmental or urban analysis.

103

Publications

5.5K

Citations

409

Authors

196

Institutions

Publications per year

2017–2026

34

Authors

409

  1. TT
    Tee‐Ann Teo

    National Yang Ming Chiao Tung University, Taiwan

    3 publications · 132 citations

    3

    h-index

  2. AH
    Ayman Habib

    Purdue University West Lafayette, United States

    3 publications · 182 citations

    3

    h-index

  3. KT
    Kevin Tansey

    University of Leicester, United Kingdom

    3 publications · 177 citations

    3

    h-index

  4. JS
    Jie Shan

    Purdue University West Lafayette, United States

    3 publications · 151 citations

    3

    h-index

  5. GB
    Gerardo Benito

    Consejo Superior de Investigaciones Científicas, Spain

    2 publications · 92 citations

    2

    h-index

1–5 of 409

Venues

  1. Remote Sensing

    5 publications · 359 citations

    5

    h-index

  2. 4

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 4 publications · 276 citations

    4

    h-index

  4. Remote Sensing of Environment

    4 publications · 372 citations

    4

    h-index

  5. Photogrammetric Engineering & Remote Sensing

    3 publications · 139 citations

    3

    h-index

1–5