Concepedia

Pixel-based Crop Classification

Pixel-Based Crop Classification is a remote sensing image analysis approach that assigns a crop type label to each individual pixel in an image based on its spectral, temporal, or spatial characteristics, without considering object-level segmentation or contextual relationships among neighboring pixels.

76

Publications

3.7K

Citations

331

Authors

137

Institutions

Publications per year

2017–2026

47

Parents

Publications

76

Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin

Michael Gomez Selvaraj, Alejandro Perdomo Vergara, Frank Montenegro et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · 215 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

Estimating smallholder crops production at village level from Sentinel-2 time series in Mali's cotton belt

Marie-Julie Lambert, Pierre Traoré, Xavier Blaes et al. · Remote Sensing of Environment · 2018 · 212 citations · Full text

, , +17

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

Effect of pan-sharpening multi-temporal Landsat 8 imagery for crop type differentiation using different classification techniques

Jason Kane Gilbertson, Jaco Kemp, Adriaan van Niekerk · Computers and Electronics in Agriculture · 2017 · 154 citations

, , +16

1–5 of 76

Authors

331

  1. ML
    Mykola Lavreniuk

    Space Research Institute, Ukraine

    3 publications · 305 citations

    3

    h-index

  2. LD
    Liping Di

    George Mason University, United States

    3 publications · 139 citations

    3

    h-index

  3. SS
    Sergii Skakun

    University of Maryland, College Park, United States

    3 publications · 305 citations

    3

    h-index

  4. CZ
    Chen Zhang

    George Mason University, United States

    3 publications · 139 citations

    3

    h-index

  5. NK
    Nataliia Kussul

    Space Research Institute, Ukraine

    3 publications · 305 citations

    3

    h-index

1–5 of 331

Institutions

137

  1. Chinese Academy of Sciences

    Beijing, China

    7 h-index

    21 publications

    907 citations

  2. Institute of Remote Sensing and Digital Earth

    Beijing, China

    4 h-index

    15 publications

    709 citations

  3. University of Maryland, College Park

    College Park, United States

    3 h-index

    3 publications

    293 citations

  4. George Mason University

    Fairfax, United States

    3 h-index

    13 publications

    699 citations

  5. University of Chinese Academy of Sciences

    Beijing, China

    3 h-index

    9 publications

    416 citations

  6. Flemish Institute for Technological Research

    Mol, Belgium

    3 h-index

    10 publications

    686 citations

  7. Littoral, Environnement, Télédétection, Géomatique

    Rennes, France

    2 h-index

    5 publications

    104 citations

  8. Aarhus University

    Aarhus, Denmark

    2 h-index

    9 publications

    318 citations

1–8 of 137

Venues

  1. Remote Sensing

    15 publications · 674 citations

    13

    h-index

  2. Computers and Electronics in Agriculture

    9 publications · 602 citations

    9

    h-index

  3. International Journal of Remote Sensing

    7 publications · 244 citations

    7

    h-index

  4. 3

    h-index

  5. Agronomy

    2 publications · 69 citations

    2

    h-index

1–5