Digital Landscape Modeling

Digital Landscape Modeling is a computational representation and analytical framework within geospatial science that integrates digital elevation data, environmental variables, and spatial algorithms to simulate, analyze, and predict landscape structures, processes, and dynamics in a virtual environment.

89

Publications

6.4K

Citations

237

Authors

116

Institutions

Publications per year

2017–2026

32

Authors

237

  1. RH
    Robert Hecht

    Leibniz Institute of Ecological Urban and Regional Development, Germany

    3 publications · 150 citations

    3

    h-index

  2. PS
    Pengyu Shan

    Northeastern University, China

    3 publications · 190 citations

    3

    h-index

  3. HI
    Hiroshi Ishii

    Massachusetts Institute of Technology, United States

    3 publications · 450 citations

    3

    h-index

  4. WS
    Wan Sun

    Northeastern University, China

    3 publications · 190 citations

    3

    h-index

  5. CR
    Carlo Ratti

    Massachusetts Institute of Technology, United States

    3 publications · 450 citations

    3

    h-index

1–5 of 237

Venues

  1. Landscape and Urban Planning

    8 publications · 471 citations

    8

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 3 publications · 64 citations

    3

    h-index

  3. Environmental Earth Sciences

    2 publications · 100 citations

    2

    h-index

  4. Ecological Informatics

    2 publications · 107 citations

    2

    h-index

  5. Environmental Modelling & Software

    2 publications · 80 citations

    2

    h-index

1–5