Elevation Data Quality Control

Elevation Data Quality Control is a geospatial data quality management process that systematically evaluates and verifies the integrity, completeness, consistency, and spatial accuracy of elevation measurements or digital elevation models against predefined standards and, where available, independent reference data to ensure their fitness for intended analytical and modelling applications.

141

Publications

11.3K

Citations

485

Authors

187

Institutions

Publications per year

2017–2026

34

Authors

485

  1. MH
    Martin Huber

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

    4 publications · 132 citations

    4

    h-index

  2. BW
    Birgit Wessel

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

    4 publications · 132 citations

    4

    h-index

  3. CC
    C. C. Carabajal

    Goddard Space Flight Center, United States

    3 publications · 91 citations

    4

    h-index

  4. MT
    Marcelo Tomio Matsuoka

    Universidade Federal de Uberlândia, Brazil

    3 publications · 74 citations

    3

    h-index

  5. IK
    Ivandro Klein

    Universidade Federal de Uberlândia, Brazil

    3 publications · 74 citations

    3

    h-index

1–5 of 485

Venues

  1. Remote Sensing of Environment

    7 publications · 909 citations

    7

    h-index

  2. 7

    h-index

  3. Photogrammetric Engineering & Remote Sensing

    6 publications · 397 citations

    6

    h-index

  4. Remote Sensing

    5 publications · 614 citations

    5

    h-index

  5. 5

    h-index

1–5