Radar-based Forest Inventory

Radar-Based Forest Inventory is a methodological framework within remote sensing for inventory that utilizes radar imagery to derive biophysical forest parameters, distinguished by its reliance on active microwave signals to enable all-weather, day-and-night assessment of forest structure and biomass.

453

Publications

28.6K

Citations

1.2K

Authors

473

Institutions

Publications per year

2017–2026

132

Authors

1.2K

  1. MS
    Maurizio Santoro

    Gamma Remote Sensing (Switzerland), Switzerland

    24 publications · 1.5K citations

    20

    h-index

  2. JE
    Johan E. S. Fransson

    Swedish University of Agricultural Sciences, Sweden

    22 publications · 1.1K citations

    19

    h-index

  3. SS
    Sassan Saatchi

    Jet Propulsion Laboratory, United States

    19 publications · 2.1K citations

    19

    h-index

  4. LM
    Lars M. H. Ulander

    Chalmers University of Technology, Sweden

    21 publications · 1.2K citations

    18

    h-index

  5. KR
    K.J. Ranson

    Goddard Space Flight Center, United States

    16 publications · 1.5K citations

    15

    h-index

1–5 of 1.2K

Venues

  1. 50

    h-index

  2. Remote Sensing of Environment

    76 publications · 7.5K citations

    50

    h-index

  3. Remote Sensing

    53 publications · 2.3K citations

    28

    h-index

  4. International Journal of Remote Sensing

    33 publications · 2.8K citations

    24

    h-index

  5. 15

    h-index

1–5