Validation Of Height Models

Validation of Height Models is the systematic assessment of the accuracy and reliability of tree height prediction models by comparing model outputs against ground-truth measurements to evaluate their performance and generalizability within forest inventory and remote sensing applications.

88

Publications

3.7K

Citations

302

Authors

145

Institutions

Publications per year

2017–2026

22

Authors

302

  1. SH
    Shongming Huang

    Alberta Environment and Protected Areas, Canada

    4 publications · 323 citations

    4

    h-index

  2. GD
    Gordon D. Nigh

    Government of British Columbia, Canada

    3 publications · 62 citations

    3

    h-index

  3. RI
    Roscinto Ian C. Lumbres

    Benguet State University, Philippines

    3 publications · 37 citations

    3

    h-index

  4. YJ
    Young Jin Lee

    Kongju National University, South Korea

    3 publications · 37 citations

    3

    h-index

  5. CL
    Curtis L. VanderSchaaf

    Virginia Tech, United States

    3 publications · 97 citations

    3

    h-index

1–5 of 302

Venues

  1. Forest Ecology and Management

    15 publications · 935 citations

    14

    h-index

  2. Forest Science and Technology

    5 publications · 113 citations

    5

    h-index

  3. Remote Sensing

    4 publications · 122 citations

    4

    h-index

  4. The Forestry Chronicle

    4 publications · 114 citations

    4

    h-index

  5. Journal of Forest Science

    4 publications · 76 citations

    4

    h-index

1–5