Elevation Data Filtering

Elevation Data Filtering is a computational process within elevation data quality control that distinguishes itself by systematically removing or adjusting spurious, noisy, or erroneous elevation measurements while preserving genuine topographic features to enhance data accuracy and reliability.

19

Publications

2.1K

Citations

69

Authors

44

Institutions

Publications per year

2017–2026

5

Authors

69

  1. ZA
    Zyad Al‐Hamdani

    Geological Survey of Denmark and Greenland, Denmark

    1 publications · 28 citations

    1

    h-index

  2. GS
    G. Sithole

    Delft University of Technology, Netherlands

    1 publications · 294 citations

    1

    h-index

  3. JC
    Jonathan C. Hall

    Forest and Rangeland Ecosystem Science Center

    1 publications · 39 citations

    1

    h-index

  4. PŚ
    Przemysław Śleszyński

    Institute of Geography and Spatial Organization, Polish Academy of Sciences, Poland

    1 publications · 15 citations

    1

    h-index

  5. OB
    Olivier Bellier

    Centre National de la Recherche Scientifique, France

    1 publications · 164 citations

    1

    h-index

1–5 of 69

Venues

  1. Photogrammetric Engineering & Remote Sensing

    2 publications · 328 citations

    2

    h-index

  2. International Journal of Remote Sensing

    2 publications · 289 citations

    2

    h-index

  3. Tectonics

    1 publications · 164 citations

    1

    h-index

  4. Hydrology and earth system sciences

    1 publications · 28 citations

    1

    h-index

  5. KTH Publication Database DiVA (KTH Royal Institute of Technology)

    Repository · 1 publications · 16 citations

    1

    h-index

1–5