Supervised Crop Classification

Supervised Crop Classification is a remote sensing image analysis method that assigns crop types to land cover pixels through machine learning models trained on labeled spectral-temporal data.

96

Publications

9.9K

Citations

372

Authors

165

Institutions

Publications per year

2017–2026

70

Authors

372

  1. JS
    Jiali Shang

    Agriculture and Agri-Food Canada, Canada

    3 publications · 90 citations

    3

    h-index

  2. CY
    Chenghai Yang

    Agricultural Research Service, United States

    2 publications · 41 citations

    2

    h-index

  3. SV
    Silvia Valero

    Centre d'Études Spatiales de la Biosphère, France

    2 publications · 397 citations

    2

    h-index

  4. DM
    David Morin

    Centre d'Études Spatiales de la Biosphère, France

    2 publications · 397 citations

    2

    h-index

  5. MA
    M. Arias

    Universidad Pública de Navarra (UPNA), Spain

    2 publications · 123 citations

    2

    h-index

1–5 of 372

Venues

  1. Remote Sensing

    8 publications · 697 citations

    8

    h-index

  2. International Journal of Remote Sensing

    8 publications · 503 citations

    8

    h-index

  3. Computers and Electronics in Agriculture

    7 publications · 5.2K citations

    7

    h-index

  4. Remote Sensing of Environment

    5 publications · 776 citations

    5

    h-index

  5. 5

    h-index

1–5