Pest Damage Detection

Pest Damage Detection is a remote sensing-based analytical method that identifies and characterizes biotic stress indicators in vegetation caused by pest infestations through the interpretation of spectral, spatial, and temporal anomalies in multispectral or hyperspectral imagery.

192

Publications

8.5K

Citations

741

Authors

275

Institutions

Publications per year

2017–2026

86

Authors

741

  1. MA
    Michael A. Wulder

    Canadian Forest Service, Canada

    9 publications · 749 citations

    9

    h-index

  2. JC
    Joanne C. White

    Canadian Forest Service, Canada

    8 publications · 527 citations

    8

    h-index

  3. NC
    Norman C. Elliott

    Oklahoma State University, United States

    6 publications · 279 citations

    6

    h-index

  4. OM
    Onisimo Mutanga

    University of KwaZulu-Natal, South Africa

    4 publications · 198 citations

    4

    h-index

  5. NC
    Nicholas C. Coops

    University of British Columbia, Canada

    4 publications · 413 citations

    4

    h-index

1–5 of 741

Venues

  1. Remote Sensing

    10 publications · 355 citations

    10

    h-index

  2. Remote Sensing of Environment

    11 publications · 1.2K citations

    10

    h-index

  3. Computers and Electronics in Agriculture

    8 publications · 466 citations

    7

    h-index

  4. Journal of Applied Remote Sensing

    JARS · 5 publications · 208 citations

    5

    h-index

  5. International Journal of Remote Sensing

    5 publications · 216 citations

    5

    h-index

1–5