Hyperspectral Density Estimation

Hyperspectral Density Estimation is a stand density estimation method that utilizes hyperspectral imaging data to differentiate and quantify vegetation density through species-specific spectral signatures.

17

Publications

651

Citations

69

Authors

32

Institutions

Publications per year

2017–2026

4

Authors

69

  1. PM
    Pedro Melo‐Pinto

    University of Trás-os-Montes and Alto Douro, Portugal

    2 publications · 57 citations

    2

    h-index

  2. JM
    J.J.L. Morais

    University of Trás-os-Montes and Alto Douro, Portugal

    2 publications · 57 citations

    2

    h-index

  3. AF
    Armando Fernandes

    University of Trás-os-Montes and Alto Douro, Portugal

    2 publications · 57 citations

    2

    h-index

  4. JL
    José Lousada

    University of Trás-os-Montes and Alto Douro, Portugal

    2 publications · 57 citations

    2

    h-index

  5. JP
    João Pereira

    University of Trás-os-Montes and Alto Douro, Portugal

    2 publications · 57 citations

    2

    h-index

1–5 of 69

Venues

  1. Remote Sensing

    4 publications · 203 citations

    4

    h-index

  2. Computers and Electronics in Agriculture

    2 publications · 112 citations

    2

    h-index

  3. Remote Sensing of Environment

    2 publications · 58 citations

    2

    h-index

  4. Korean Journal of Remote Sensing

    1 publications · 20 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 16 citations

    1

    h-index

1–5