Tree Mortality Detection

Tree Mortality Detection is a remote sensing-based monitoring approach that specifically identifies the cessation of physiological activity in individual trees or forest stands over time, distinguishing it from broader disturbance detection methods by its focus on permanent tree death rather than transient damage or defoliation.

212

Publications

11.6K

Citations

833

Authors

358

Institutions

Publications per year

2017–2026

95

Authors

833

  1. AJ
    Arjan J. H. Meddens

    University of Idaho, United States

    8 publications · 602 citations

    8

    h-index

  2. JA
    Jeffrey A. Hicke

    University of Idaho, United States

    7 publications · 622 citations

    7

    h-index

  3. TT
    Thomas T. Veblen

    University of Colorado Boulder, United States

    5 publications · 315 citations

    5

    h-index

  4. OL
    Oliver L. Phillips

    University of Leeds, United Kingdom

    4 publications · 660 citations

    4

    h-index

  5. GP
    Gregory P. Asner

    Carnegie Institution for Science, United States

    4 publications · 231 citations

    4

    h-index

1–5 of 833

Venues

  1. Remote Sensing of Environment

    19 publications · 1.6K citations

    18

    h-index

  2. Forest Ecology and Management

    20 publications · 968 citations

    17

    h-index

  3. Remote Sensing

    15 publications · 417 citations

    14

    h-index

  4. Canadian Journal of Forest Research

    8 publications · 398 citations

    8

    h-index

  5. Forests

    7 publications · 197 citations

    7

    h-index

1–5