Elevation Data Processing

Elevation Data Processing is a computational methodology within topographic modeling that transforms raw elevation measurements into structured, analyzable forms by applying algorithms for filtering, interpolation, resampling, and error correction to enhance spatial accuracy and representation fidelity.

212

Publications

16.9K

Citations

647

Authors

271

Institutions

Publications per year

2017–2026

46

Authors

647

  1. JD
    Jeff Dozier

    University of California, Santa Barbara, United States

    4 publications · 865 citations

    4

    h-index

  2. MF
    Michael F. Hutchinson

    Australian National University, Australia

    3 publications · 1.4K citations

    3

    h-index

  3. MU
    Minoru Urai

    Geological Survey of Japan, Japan

    3 publications · 148 citations

    3

    h-index

  4. EW
    Eric W. Constance

    United States Geological Survey, United States

    3 publications · 165 citations

    3

    h-index

  5. HF
    Hiroyuki Fujisada

    Tokyo University of Science, Japan

    3 publications · 148 citations

    3

    h-index

1–5 of 647

Venues

  1. International Journal of Remote Sensing

    9 publications · 811 citations

    9

    h-index

  2. Photogrammetric Engineering & Remote Sensing

    8 publications · 827 citations

    8

    h-index

  3. 8

    h-index

  4. Computers & Geosciences

    CAGEO · 8 publications · 641 citations

    8

    h-index

  5. Remote Sensing

    7 publications · 304 citations

    7

    h-index

1–5