Remote Sensing-based Inventory

Remote Sensing-Based Inventory is a forest inventory method that employs remotely sensed data to estimate forest attributes over large areas, distinguishing itself from ground-based or traditional inventory techniques by relying on aerial or satellite sensor observations for stand characterization.

106

Publications

6.6K

Citations

324

Authors

134

Institutions

Publications per year

2017–2026

34

Authors

324

  1. RE
    Ronald E. McRoberts

    Northern Research Station, United States

    9 publications · 961 citations

    9

    h-index

  2. ET
    Erkki Tomppo

    Finnish Environment Institute, Finland

    6 publications · 760 citations

    6

    h-index

  3. MA
    Michael A. Wulder

    Canadian Forest Service, Canada

    6 publications · 312 citations

    6

    h-index

  4. EN
    Erik Næsset

    Norwegian University of Life Sciences, Norway

    5 publications · 869 citations

    5

    h-index

  5. GS
    Göran Ståhl

    Swedish University of Agricultural Sciences, Sweden

    5 publications · 438 citations

    5

    h-index

1–5 of 324

Venues

  1. Remote Sensing of Environment

    9 publications · 1.2K citations

    9

    h-index

  2. 8

    h-index

  3. Canadian Journal of Forest Research

    6 publications · 180 citations

    6

    h-index

  4. Remote Sensing

    6 publications · 580 citations

    6

    h-index

  5. Forests

    6 publications · 245 citations

    6

    h-index

1–5