Forest Attribute Retrieval

Forest Attribute Retrieval is a remote sensing methodology that identifies and quantifies biophysical and structural characteristics of forest ecosystems from observational data through the inversion of spectral or geometric signatures.

23

Publications

1.2K

Citations

113

Authors

46

Institutions

Publications per year

2017–2026

4

Authors

113

  1. JH
    Juha Hyyppä

    Finnish Geospatial Research Institute, Finland

    2 publications · 570 citations

    2

    h-index

  2. XL
    Xinlian Liang

    Finnish Geospatial Research Institute, Finland

    2 publications · 153 citations

    2

    h-index

  3. ME
    Michael E. Schaepman

    University of Zurich, Switzerland

    2 publications · 36 citations

    2

    h-index

  4. JL
    Jiahong Li

    Smithsonian Environmental Research Center, United States

    1 publications · 23 citations

    1

    h-index

  5. AF
    Anmin Fu

    Nanjing University of Science and Technology, China

    1 publications · 14 citations

    1

    h-index

1–5 of 113

Venues

  1. Remote Sensing of Environment

    6 publications · 208 citations

    6

    h-index

  2. 2

    h-index

  3. Forest Ecology and Management

    2 publications · 458 citations

    2

    h-index

  4. Trees

    1 publications · 24 citations

    1

    h-index

  5. Agricultural and Forest Meteorology

    1 publications · 49 citations

    1

    h-index

1–5