Disease Damage Detection

Disease Damage Detection is a forest disturbance detection method that specifically identifies pathological changes in vegetation caused by biotic agents such as fungi, bacteria, viruses, or pests through the analysis of remote sensing data or in situ observations.

132

Publications

5.4K

Citations

691

Authors

316

Institutions

Publications per year

2017–2026

67

Authors

691

  1. OM
    Onisimo Mutanga

    University of KwaZulu-Natal, South Africa

    3 publications · 99 citations

    3

    h-index

  2. HM
    Holly M. Bastian

    University of Alabama at Birmingham, United States

    3 publications · 438 citations

    3

    h-index

  3. SN
    Seppo Nevalainen

    Natural Resources Institute Finland, Finland

    3 publications · 74 citations

    3

    h-index

  4. BJ
    Barri J. Fessler

    University of Alabama at Birmingham, United States

    3 publications · 438 citations

    3

    h-index

  5. GM
    Gerald McGwin

    University of Alabama at Birmingham, United States

    3 publications · 438 citations

    3

    h-index

1–5 of 691

Venues

  1. Forests

    6 publications · 167 citations

    6

    h-index

  2. Lupus

    5 publications · 165 citations

    5

    h-index

  3. International Journal of Remote Sensing

    5 publications · 147 citations

    5

    h-index

  4. Computers and Electronics in Agriculture

    5 publications · 190 citations

    5

    h-index

  5. Agronomy

    4 publications · 396 citations

    4

    h-index

1–5