Physics-based Calibration Models

Physics-Based Calibration Models is a systematic framework that employs fundamental physical laws and soil property relationships to establish sensor response functions, distinguishing it from empirical or statistical calibration approaches by relying on mechanistic representations of soil-sensor interactions.

61

Publications

2.3K

Citations

236

Authors

105

Institutions

Publications per year

2017–2026

31

Authors

236

  1. JM
    Juliane Mai

    University of Waterloo, Canada

    2 publications · 235 citations

    2

    h-index

  2. CR
    Corinna Rebmann

    Helmholtz Centre for Environmental Research, Germany

    2 publications · 235 citations

    2

    h-index

  3. EM
    Edoardo Martini

    Helmholtz Centre for Environmental Research, Germany

    2 publications · 235 citations

    2

    h-index

  4. HB
    Heye Bogena

    Forschungszentrum Jülich, Germany

    2 publications · 235 citations

    2

    h-index

  5. JI
    Joost Iwema

    University of Bristol, United Kingdom

    2 publications · 235 citations

    2

    h-index

1–5 of 236

Venues

  1. Computers and Electronics in Agriculture

    3 publications · 161 citations

    3

    h-index

  2. Geoderma

    3 publications · 150 citations

    3

    h-index

  3. Journal of Thermophysics and Heat Transfer

    2 publications · 120 citations

    2

    h-index

  4. Agricultural and Forest Meteorology

    2 publications · 64 citations

    2

    h-index

  5. Advances in Space Research

    2 publications · 69 citations

    2

    h-index

1–5