Image-based Landform Classification

Image-Based Landform Classification is a methodological framework within geomorphometric analysis that utilizes remotely sensed imagery as the primary data source to identify, delineate, and categorize landforms based on spectral, textural, and spatial patterns derived from two-dimensional or three-dimensional image representations.

115

Publications

7.3K

Citations

383

Authors

198

Institutions

Publications per year

2017–2026

34

Authors

383

  1. GP
    G. P. Obi Reddy

    ICAR-National Bureau of Soil Survey and Land Use Planning, India

    2 publications · 35 citations

    2

    h-index

  2. PS
    P. S. Roy

    Indian Institute of Remote Sensing, India

    2 publications · 29 citations

    2

    h-index

  3. CM
    Christopher Munyati

    Council for Scientific and Industrial Research, South Africa

    2 publications · 35 citations

    2

    h-index

  4. YC
    Yu Cheng

    Hebei University of Technology, China

    2 publications · 39 citations

    2

    h-index

  5. DD
    Dilce de Fátima Rossetti

    Instituto Nacional de Pesquisas Espaciais, Brazil

    2 publications · 44 citations

    2

    h-index

1–5 of 383

Venues

  1. Remote Sensing of Environment

    13 publications · 2.2K citations

    13

    h-index

  2. Geomorphology

    11 publications · 1.3K citations

    11

    h-index

  3. International Journal of Remote Sensing

    5 publications · 122 citations

    5

    h-index

  4. 4

    h-index

  5. 4

    h-index

1–5