Elevation Data Modeling

Elevation Data Modeling is a computational framework within geospatial analysis that represents and organizes terrain elevation values as continuous or discrete surfaces to enable accurate topographic representation and spatial reasoning.

140

Publications

11.5K

Citations

435

Authors

211

Institutions

Publications per year

2017–2026

34

Authors

435

  1. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    3 publications · 192 citations

    3

    h-index

  2. GT
    Guoan Tang

    Nanjing Normal University, China

    2 publications · 33 citations

    2

    h-index

  3. SM
    S. M. White

    University of South Carolina, United States

    2 publications · 53 citations

    2

    h-index

  4. DR
    D. R. Bohnenstiehl

    North Carolina State University, United States

    2 publications · 53 citations

    2

    h-index

  5. LE
    L. E. Lanyon

    Pennsylvania State University, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 435

Venues

  1. International Journal of Remote Sensing

    8 publications · 385 citations

    8

    h-index

  2. Geophysical Research Letters

    6 publications · 410 citations

    6

    h-index

  3. Geomorphology

    5 publications · 284 citations

    5

    h-index

  4. Computers & Geosciences

    CAGEO · 5 publications · 205 citations

    5

    h-index

  5. 5

    h-index

1–5