Digital Elevation Model Processing

Digital Elevation Model Processing is a computational methodology within geospatial analysis that involves the systematic manipulation, refinement, and analysis of digital elevation data to extract topographic features and support hydrological modeling, distinguished by its focus on enhancing terrain representation for watershed delineation.

659

Publications

45.6K

Citations

2.2K

Authors

801

Institutions

Publications per year

2017–2026

210

Authors

2.2K

  1. DG
    David G. Tarboton

    Utah State University, United States

    7 publications · 493 citations

    7

    h-index

  2. BS
    B. S. Daya Sagar

    Multimedia University, Malaysia

    5 publications · 127 citations

    5

    h-index

  3. PS
    Pierre Soille

    Joint Research Centre, Italy

    5 publications · 5.9K citations

    5

    h-index

  4. BW
    Birgit Wessel

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    4 publications · 105 citations

    4

    h-index

  5. JC
    Jean Chorowicz

    Sorbonne Université, France

    4 publications · 189 citations

    4

    h-index

1–5 of 2.2K

Venues

  1. Remote Sensing

    32 publications · 932 citations

    21

    h-index

  2. Computers & Geosciences

    CAGEO · 18 publications · 1.3K citations

    17

    h-index

  3. Water Resources Research

    18 publications · 4.3K citations

    17

    h-index

  4. 15

    h-index

  5. Hydrological Processes

    16 publications · 1.1K citations

    15

    h-index

1–5