Concepedia

Parcel-level Crop Classification

Parcel-Level Crop Classification is a remote sensing-based agricultural monitoring method that distinguishes crop types at the individual field (parcel) level by leveraging spatially explicit spectral, temporal, and contextual features unique to cadastral or field-boundary units.

59

Publications

3.5K

Citations

197

Authors

92

Institutions

Publications per year

2017–2026

48

Parents

Publications

59

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

Fabian Löw, Ulrich Michel, Stefan Dech et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2013 · 282 citations

, , +12

From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

Raphaël d’Andrimont, Astrid Verhegghen, Guido Lemoine et al. · Remote Sensing of Environment · 2021 · 247 citations · Full text

, , +16

Evaluation of random forest method for agricultural crop classification

Asli Ozdarici-Ok, Özlem Akar, Oğuz Güngör · European Journal of Remote Sensing · 2012 · 214 citations · Full text

, , +14

Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data

Nataliia Kussul, Guido Lemoine, F. J. Gallego et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2016 · 208 citations

, , +16

Efficiency and accuracy of per-field classification for operational crop mapping

Allard de Wit, J.G.P.W. Clevers · International Journal of Remote Sensing · 2004 · 179 citations

, , +16

1–5 of 59

Authors

197

  1. GL
    Guido Lemoine

    Joint Research Centre, Italy

    4 publications · 532 citations

    4

    h-index

  2. LF
    Li Feng

    Hohai University, China

    2 publications · 150 citations

    3

    h-index

  3. CZ
    Ce Zhang

    Lancaster University, United Kingdom

    2 publications · 55 citations

    2

    h-index

  4. CZ
    Chuanrong Zhang

    University of Connecticut, United States

    2 publications · 57 citations

    2

    h-index

  5. CC
    Christopher Conrad

    University of Würzburg, Germany

    2 publications · 417 citations

    2

    h-index

1–5 of 197

Institutions

92

  1. Chinese Academy of Sciences

    Beijing, China

    10 h-index

    11 publications

    501 citations

  2. University of Chinese Academy of Sciences

    Beijing, China

    4 h-index

    4 publications

    280 citations

  3. Ministry of Natural Resources

    Beijing, China

    4 h-index

    3 publications

    124 citations

  4. Institute of Remote Sensing and Digital Earth

    Beijing, China

    4 h-index

    4 publications

    278 citations

  5. Hohai University

    Nanjing, China

    3 h-index

    5 publications

    413 citations

  6. Aerospace Information Research Institute

    Beijing, China

    3 h-index

    1 publications

    17 citations

  7. Chinese Academy of Agricultural Sciences

    Beijing, China

    3 h-index

    11 publications

    535 citations

  8. State Key Laboratory of Remote Sensing Science

    Beijing, China

    3 h-index

    5 publications

    341 citations

1–8 of 92

Venues

  1. Remote Sensing

    11 publications · 730 citations

    11

    h-index

  2. 5

    h-index

  3. Remote Sensing of Environment

    5 publications · 614 citations

    5

    h-index

  4. Computers and Electronics in Agriculture

    3 publications · 159 citations

    4

    h-index

  5. Agronomy

    2 publications · 71 citations

    3

    h-index

1–5