Radar-based Crop Classification

Radar-Based Crop Classification is a methodological framework within remote sensing that uses synthetic aperture radar (SAR) data to distinguish and categorize crop types based on their structural and dielectric properties, differentiated from optical approaches by its operational capability in all weather and light conditions.

240

Publications

12.1K

Citations

779

Authors

307

Institutions

Publications per year

2017–2026

129

Authors

779

  1. HM
    Heather McNairn

    Agriculture and Agri-Food Canada, Canada

    17 publications · 919 citations

    16

    h-index

  2. JS
    Jiali Shang

    Agriculture and Agri-Food Canada, Canada

    10 publications · 577 citations

    10

    h-index

  3. NB
    Nicolas Baghdadi

    Territoires, Environnement, Télédétection et Information Spatiale

    7 publications · 533 citations

    8

    h-index

  4. JM
    Juan M. López‐Sánchez

    University of Alicante, Spain

    7 publications · 255 citations

    7

    h-index

  5. JW
    Jinfei Wang

    Western University, Canada

    7 publications · 207 citations

    7

    h-index

1–5 of 779

Venues

  1. Remote Sensing

    43 publications · 3K citations

    31

    h-index

  2. International Journal of Remote Sensing

    28 publications · 1.2K citations

    21

    h-index

  3. 19

    h-index

  4. Canadian Journal of Remote Sensing

    16 publications · 542 citations

    14

    h-index

  5. 10

    h-index

1–5