Topographic Data Modeling

Topographic Data Modeling is a formal methodological framework within geospatial science that specifies the representation, structuring, and computational interpretation of terrain features and elevation-based phenomena to enable accurate analysis and visualization in topographic cartography and modeling.

84

Publications

4.5K

Citations

249

Authors

127

Institutions

Publications per year

2017–2026

15

Authors

249

  1. DB
    Dirk Burghardt

    Technische Universität Dresden, Germany

    2 publications · 79 citations

    2

    h-index

  2. KC
    Kenneth C. Jezek

    The Ohio State University, United States

    2 publications · 47 citations

    2

    h-index

  3. ZZ
    Zhiyuan Zhao

    The Ohio State University, United States

    2 publications · 47 citations

    2

    h-index

  4. FP
    Friso Penninga

    Delft University of Technology, Netherlands

    2 publications · 48 citations

    2

    h-index

  5. PV
    P.J.M. van Oosterom

    Delft University of Technology, Netherlands

    2 publications · 65 citations

    2

    h-index

1–5 of 249

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 255 citations

    4

    h-index

  2. 3

    h-index

  3. Computers & Geosciences

    CAGEO · 2 publications · 72 citations

    2

    h-index

  4. Geomorphology

    2 publications · 550 citations

    2

    h-index

  5. Polar Geography

    2 publications · 138 citations

    2

    h-index

1–5