Lidar-based Detection

Lidar-Based Detection is a remote sensing methodology that utilizes light detection and ranging (LiDAR) technology to identify and map subsurface voids and surface depressions indicative of sinkhole formation by distinguishing elevation anomalies and terrain features with high spatial resolution.

496

Publications

26K

Citations

2K

Authors

673

Institutions

Publications per year

2017–2026

290

Authors

2K

  1. PA
    Pedro Arias

    Universidade de Vigo, Spain

    8 publications · 318 citations

    8

    h-index

  2. HG
    H. González-Jorge

    Universidade de Vigo, Spain

    7 publications · 232 citations

    7

    h-index

  3. JY
    Jian Yang

    Nanjing University of Science and Technology, China

    7 publications · 365 citations

    7

    h-index

  4. JS
    Jianfeng Sun

    Harbin Institute of Technology, China

    7 publications · 136 citations

    7

    h-index

  5. HK
    Hui Kong

    Nanjing University of Science and Technology, China

    7 publications · 365 citations

    7

    h-index

1–5 of 2K

Venues

  1. Remote Sensing

    35 publications · 1.2K citations

    23

    h-index

  2. Sensors

    19 publications · 647 citations

    16

    h-index

  3. 12

    h-index

  4. Remote Sensing of Environment

    11 publications · 1.2K citations

    11

    h-index

  5. 10

    h-index

1–5