Cross-sensor Harmonization

Cross-Sensor Harmonization is a data preprocessing technique that standardizes yield measurements across heterogeneous sensing systems by correcting for sensor-specific biases and scale differences to enable consistent and comparable agricultural yield data interpretation.

7

Publications

298

Citations

34

Authors

22

Institutions

Publications per year

2017–2026

5

Authors

34

  1. RR
    Robert Ryan

    Stennis Space Center, United States

    1 publications · 24 citations

    1

    h-index

  2. VŠ
    Vitomir Štruc

    University of Ljubljana, Slovenia

    1 publications · 34 citations

    1

    h-index

  3. ŽE
    Žiga Emeršič

    University of Ljubljana, Slovenia

    1 publications · 34 citations

    1

    h-index

  4. KK
    Keivan Kabiri

    Iranian National Institute for Oceanography and Atmospheric Science, Iran

    1 publications · 13 citations

    1

    h-index

  5. JS
    Jaime S. Cardoso

    Universidade do Porto, Portugal

    1 publications · 13 citations

    1

    h-index

1–5 of 34

Venues

  1. Remote Sensing of Environment

    3 publications · 223 citations

    3

    h-index

  2. Journal of Coastal Conservation

    1 publications · 13 citations

    1

    h-index

  3. Remote Sensing

    1 publications · 15 citations

    1

    h-index

1–3