Uav-based Canopy Monitoring

Uav-Based Canopy Monitoring is a remote sensing methodology that utilizes unmanned aerial vehicles equipped with multispectral, hyperspectral, or RGB sensors to systematically capture high-resolution aerial imagery of vegetation canopies for the purpose of assessing biophysical parameters, canopy structure, and physiological status in precision agriculture and environmental monitoring.

300

Publications

21.5K

Citations

1.4K

Authors

489

Institutions

Publications per year

2017–2026

262

Authors

1.4K

  1. SF
    Salvatore Filippo Di Gennaro

    National Research Council, Italy

    11 publications · 1.7K citations

    11

    h-index

  2. AM
    Alessandro Matese

    Istituto di Biometeorologia, Italy

    11 publications · 1.7K citations

    11

    h-index

  3. RG
    Rachel Gaulton

    Newcastle University, United Kingdom

    5 publications · 261 citations

    5

    h-index

  4. JJ
    Joaquim J. Sousa

    University of Trás-os-Montes and Alto Douro, Portugal

    5 publications · 239 citations

    5

    h-index

  5. ML
    Minzan Li

    China Agricultural University, China

    5 publications · 500 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. Remote Sensing

    53 publications · 4.2K citations

    35

    h-index

  2. Computers and Electronics in Agriculture

    36 publications · 2.8K citations

    32

    h-index

  3. Forests

    11 publications · 1.6K citations

    12

    h-index

  4. 11

    h-index

  5. 10

    h-index

1–5