Hyperspectral Vegetation Visualization

Hyperspectral Vegetation Visualization is a specialized method within remote sensing visualization that enables the detailed representation of vegetation characteristics by exploiting high-resolution spectral data across narrow and contiguous wavelength bands, distinguishing it from broader-band visualization techniques through its capacity to resolve subtle biochemical and physiological plant properties.

1

Publications

89

Citations

6

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

6

  1. MJ
    Melinda Jennifer Mulitsch

    Ames Research Center, United States

    1 publications · 89 citations

    1

    h-index

  2. SL
    Susan L. Ustin

    University of California, Davis, United States

    1 publications · 89 citations

    1

    h-index

  3. JA
    Jonathan A. Greenberg

    University of California, Davis, United States

    1 publications · 89 citations

    1

    h-index

  4. SC
    Shawn C. Kefauver

    Universitat de Barcelona, Spain

    1 publications · 89 citations

    1

    h-index

  5. EC
    Emma C. Underwood

    University of California, Davis, United States

    1 publications · 89 citations

    1

    h-index

1–5 of 6

Venues

  1. Environmental Monitoring and Assessment

    1 publications · 89 citations

    1

    h-index

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