Raster Classification

Raster Classification is a raster modeling method that partitions continuous or categorical raster data into distinct thematic classes based on spectral, spatial, or temporal attributes, enabling the interpretation and analysis of geographic phenomena.

6

Publications

225

Citations

23

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

23

  1. AA
    Abdulaziz Alhammad

    RMIT University, Australia

    1 publications · 60 citations

    1

    h-index

  2. EL
    Erik Lindquist

    Food and Agriculture Organization of the United Nations, Italy

    1 publications · 36 citations

    1

    h-index

  3. NF
    Neil Flood

    The University of Queensland, Australia

    1 publications · 72 citations

    1

    h-index

  4. MM
    Mahta Moghaddam

    University of Southern California, United States

    1 publications · 72 citations

    1

    h-index

  5. PR
    Pierrick Rambaud

    Food and Agriculture Organization of the United Nations, Italy

    1 publications · 36 citations

    1

    h-index

1–5 of 23

Venues

  1. Ecography

    1 publications · 36 citations

    1

    h-index

  2. Remote Sensing

    1 publications · 72 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Computer Graphics and Applications

    1 publications · 16 citations

    1

    h-index

  5. Energies

    1 publications · 60 citations

    1

    h-index

1–5