Multispectral Biomass Estimation

Multispectral Biomass Estimation is a remote sensing methodology that quantifies vegetation biomass by analyzing reflectance data from multiple discrete spectral bands, distinguishing itself through the integration of specific wavelength-dependent vegetation indices to enhance accuracy in forage and plant biomass assessment.

114

Publications

7.1K

Citations

537

Authors

235

Institutions

Publications per year

2017–2026

68

Publications

114

1–5 of 114

Authors

537

  1. OM
    Onisimo Mutanga

    University of KwaZulu-Natal, South Africa

    4 publications · 451 citations

    4

    h-index

  2. TD
    Timothy Dube

    University of the Western Cape, South Africa

    4 publications · 451 citations

    4

    h-index

  3. PE
    Philip E. Dennison

    University of Utah, United States

    2 publications · 163 citations

    2

    h-index

  4. MM
    Maitiniyazi Maimaitijiang

    Saint Louis University, United States

    2 publications · 119 citations

    2

    h-index

  5. PA
    Philip A. Townsend

    University of Wisconsin–Madison, United States

    2 publications · 111 citations

    2

    h-index

1–5 of 537

Venues

  1. Remote Sensing

    18 publications · 752 citations

    17

    h-index

  2. Remote Sensing of Environment

    9 publications · 996 citations

    9

    h-index

  3. 9

    h-index

  4. International Journal of Remote Sensing

    5 publications · 295 citations

    5

    h-index

  5. Computers and Electronics in Agriculture

    5 publications · 425 citations

    5

    h-index

1–5