Multispectral Vegetation Indices

Multispectral Vegetation Indices is a quantitative metric derived from remote sensing data that belongs to the class of spectral indices and is specifically distinguished by its use of reflectance measurements across multiple discrete wavelength bands to assess vegetation characteristics such as canopy greenness, biomass, and water status.

1.2K

Publications

84.6K

Citations

4.4K

Authors

1.3K

Institutions

Publications per year

2017–2026

643

Authors

4.4K

  1. OM
    Onisimo Mutanga

    University of KwaZulu-Natal, South Africa

    17 publications · 858 citations

    15

    h-index

  2. AH
    Alfredo Huete

    University of Technology Sydney, Australia

    14 publications · 5.9K citations

    13

    h-index

  3. PE
    Paulo Eduardo Teodoro

    Universidade Federal de Mato Grosso do Sul, Brazil

    10 publications · 447 citations

    10

    h-index

  4. YZ
    Yan Zhu

    Nanjing Agricultural University, China

    9 publications · 1.3K citations

    9

    h-index

  5. CA
    Carlos Antônio da Silva

    Universidade do Estado de Mato Grosso, Brazil

    9 publications · 425 citations

    9

    h-index

1–5 of 4.4K

Venues

  1. Remote Sensing

    213 publications · 12.1K citations

    59

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  2. Remote Sensing of Environment

    69 publications · 19.7K citations

    53

    h-index

  3. International Journal of Remote Sensing

    113 publications · 6.9K citations

    48

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  4. Computers and Electronics in Agriculture

    22 publications · 2.6K citations

    21

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  5. Frontiers in Plant Science

    21 publications · 1.1K citations

    19

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1–5