Digital Terrain Model Processing

Digital Terrain Model Processing is a computational methodology within geospatial analysis that transforms raw elevation data into refined terrain representations by removing non-terrain features such as vegetation and urban structures, thereby enabling accurate hydrological and topographical modeling.

370

Publications

19.7K

Citations

1.3K

Authors

533

Institutions

Publications per year

2017–2026

111

Authors

1.3K

  1. IV
    Igor V. Florinsky

    Institute of Mathematical Problems of Biology, Russia

    6 publications · 626 citations

    6

    h-index

  2. LX
    Liyang Xiong

    Nanjing Normal University, China

    4 publications · 74 citations

    4

    h-index

  3. GT
    Guoan Tang

    Nanjing Normal University, China

    4 publications · 60 citations

    4

    h-index

  4. CH
    Christian Hirt

    Curtin University, Australia

    4 publications · 233 citations

    4

    h-index

  5. JM
    Jan‐Peter Müller

    University College London, United Kingdom

    4 publications · 144 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. Remote Sensing

    24 publications · 1.2K citations

    16

    h-index

  2. Computers & Geosciences

    CAGEO · 13 publications · 470 citations

    13

    h-index

  3. 12

    h-index

  4. 10

    h-index

  5. International Journal of Remote Sensing

    10 publications · 305 citations

    10

    h-index

1–5