Concepedia

Ground-based Tree Height Estimation

Ground-Based Tree Height Estimation is a methodological framework within forest mensuration that employs terrestrial observations and instrumentation to determine vertical tree dimensions, distinguished by its reliance on ground-level data acquisition as opposed to aerial or remote sensing techniques.

41

Publications

2.1K

Citations

151

Authors

69

Institutions

Publications per year

2017–2026

18

Parents

Publications

41

Practical large-scale forest stand inventory using a small-footprint airborne scanning laser

Erik Næsset · Scandinavian Journal of Forest Research · 2004 · 558 citations

, , +16

Measuring forest structure with terrestrial laser scanning

P. J. Watt, Daniel N.M. Donoghue · International Journal of Remote Sensing · 2005 · 273 citations · Full text

, , +16

Estimating Tree Height and Diameter at Breast Height (DBH) from Digital Surface Models and Orthophotos Obtained with an Unmanned Aerial System for a Japanese Cypress (Chamaecyparis obtusa) Forest

Kotaro Iizuka, Taichiro Yonehara, Masayuki Itoh et al. · Remote Sensing · 2017 · 149 citations · Full text

, , +17

Estimating tree heights with images from an unmanned aerial vehicle

Anıl Can Birdal, Uğur Avdan, Tarık Türk · Geomatics Natural Hazards and Risk · 2017 · 120 citations · Full text

, , +16

Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates

Gaia Vaglio Laurin, Jianqi Ding, Mathias Disney et al. · International Journal of Applied Earth Observation and Geoinformation · 2019 · 70 citations · Full text

, , +17

1–5 of 41

Authors

151

  1. EN
    Erik Næsset

    Norwegian University of Life Sciences, Norway

    3 publications · 599 citations

    3

    h-index

  2. HP
    Hans Pretzsch

    Technical University of Munich, Germany

    2 publications · 61 citations

    2

    h-index

  3. MR
    Mats Rudemo

    Chalmers University of Technology, Sweden

    2 publications · 57 citations

    2

    h-index

  4. YL
    Yan Li

    Chinese Academy of Sciences, China

    1 publications · 19 citations

    1

    h-index

  5. FD
    Farid Dahdouh‐Guebas

    Vrije Universiteit Brussel, Belgium

    1 publications · 35 citations

    1

    h-index

1–5 of 151

Institutions

69

  1. Technical University of Munich

    Munich, Germany

    3 h-index

    8 publications

    238 citations

  2. United States Geological Survey

    Reston, United States

    2 h-index

    3 publications

    106 citations

  3. University of Maryland, College Park

    College Park, United States

    2 h-index

    6 publications

    306 citations

  4. University of Twente

    Enschede, The Netherlands

    1 h-index

    3 publications

    99 citations

  5. Swedish University of Agricultural Sciences

    Uppsala, Sweden

    1 h-index

    1 publications

    19 citations

  6. Aberystwyth University

    Aberystwyth, United Kingdom

    1 h-index

    1 publications

    35 citations

  7. Universidade Federal dos Vales do Jequitinhonha e Mucuri

    Diamantina, Brazil

    1 h-index

    1 publications

    13 citations

  8. Universiti Malaysia Terengganu

    Kuala Terengganu, Malaysia

    1 h-index

    3 publications

    105 citations

1–8 of 69

Venues

  1. Forests

    5 publications · 147 citations

    5

    h-index

  2. Scandinavian Journal of Forest Research

    3 publications · 599 citations

    3

    h-index

  3. Remote Sensing of Environment

    3 publications · 103 citations

    3

    h-index

  4. Remote Sensing

    2 publications · 188 citations

    2

    h-index

  5. Canadian Journal of Forest Research

    2 publications · 57 citations

    2

    h-index

1–5