Spectral Indices

Spectral Indices is a quantitative measure derived from remote sensing data that belongs to the class of spectral transformation techniques and is distinguished by its specific mathematical formulation designed to enhance the visibility of particular land cover features or biophysical parameters through the ratio or combination of reflectance values from different electromagnetic spectrum bands.

2.5K

Publications

144.4K

Citations

11.1K

Authors

2.5K

Institutions

Publications per year

2017–2026

1K

Authors

11.1K

  1. US
    Urs Schmidhalter

    Technical University of Munich, Germany

    21 publications · 916 citations

    18

    h-index

  2. SE
    Salah Elsayed

    University of Sadat City, Egypt

    20 publications · 849 citations

    18

    h-index

  3. WH
    Wenjiang Huang

    Chinese Academy of Sciences, China

    16 publications · 849 citations

    15

    h-index

  4. SE
    Salah El-Hendawy

    King Saud University, Saudi Arabia

    15 publications · 539 citations

    15

    h-index

  5. NC
    Nicholas C. Coops

    University of British Columbia, Canada

    15 publications · 1.1K citations

    13

    h-index

1–5 of 11.1K

Venues

  1. The Astrophysical Journal

    ApJ · 227 publications · 14.2K citations

    64

    h-index

  2. Remote Sensing

    257 publications · 13.5K citations

    63

    h-index

  3. International Journal of Remote Sensing

    138 publications · 10.9K citations

    57

    h-index

  4. Monthly Notices of the Royal Astronomical Society

    195 publications · 10.7K citations

    51

    h-index

  5. Remote Sensing of Environment

    55 publications · 9.1K citations

    42

    h-index

1–5