Physically Based Landscape Modeling

Physically Based Landscape Modeling is a computational modeling approach that simulates landscape evolution and morphology by explicitly integrating fundamental physical laws governing geomorphic processes, such as erosion, sediment transport, and tectonic activity, to predict landform development with mechanistic fidelity.

30

Publications

1.9K

Citations

79

Authors

44

Institutions

Publications per year

2017–2026

5

Authors

79

  1. HI
    Hiroshi Ishii

    Massachusetts Institute of Technology, United States

    2 publications · 411 citations

    2

    h-index

  2. BM
    Budiman Minasny

    The University of Sydney, Australia

    2 publications · 240 citations

    2

    h-index

  3. AB
    Alex B. McBratney

    The University of Sydney, Australia

    2 publications · 240 citations

    2

    h-index

  4. CR
    Carlo Ratti

    Massachusetts Institute of Technology, United States

    2 publications · 411 citations

    2

    h-index

  5. WT
    Werner Thomas

    Deutscher Wetterdienst, Germany

    1 publications · 18 citations

    1

    h-index

1–5 of 79

Venues

  1. Geoderma

    3 publications · 359 citations

    3

    h-index

  2. Landscape and Urban Planning

    2 publications · 109 citations

    2

    h-index

  3. Earth Surface Processes and Landforms

    2 publications · 79 citations

    2

    h-index

  4. Ecological Modelling

    2 publications · 150 citations

    2

    h-index

  5. Soil Science Society of America Journal

    SSSAJ · 1 publications · 39 citations

    1

    h-index

1–5