Remote Sensing Damage Detection

Remote Sensing Damage Detection is a methodological framework within forest insect impact assessment that utilizes remotely sensed data to identify, delineate, and quantify biotic disturbance-induced changes in forest canopy structure and physiological condition, distinguishing it from ground-based or non-spectral approaches by its reliance on airborne or satelliteborne sensor technologies.

277

Publications

12.6K

Citations

987

Authors

382

Institutions

Publications per year

2017–2026

108

Authors

987

  1. MA
    Michael A. Wulder

    Canadian Forest Service, Canada

    11 publications · 972 citations

    10

    h-index

  2. NC
    Nicholas C. Coops

    University of British Columbia, Canada

    9 publications · 573 citations

    9

    h-index

  3. JC
    Joanne C. White

    Canadian Forest Service, Canada

    8 publications · 487 citations

    8

    h-index

  4. PL
    Päivi Lyytikäinen‐Saarenmaa

    University of Helsinki, Finland

    7 publications · 767 citations

    7

    h-index

  5. OM
    Onisimo Mutanga

    University of KwaZulu-Natal, South Africa

    7 publications · 342 citations

    7

    h-index

1–5 of 987

Venues

  1. Remote Sensing

    34 publications · 2.2K citations

    25

    h-index

  2. International Journal of Remote Sensing

    20 publications · 1K citations

    17

    h-index

  3. Remote Sensing of Environment

    18 publications · 1.7K citations

    17

    h-index

  4. 9

    h-index

  5. Forests

    9 publications · 290 citations

    9

    h-index

1–5