Dem Quality Control

DEM Quality Control is a systematic methodological framework within geospatial data science that ensures the accuracy, consistency, and reliability of Digital Elevation Models by identifying, quantifying, and correcting errors and uncertainties introduced during data acquisition, processing, and interpolation.

67

Publications

5.3K

Citations

242

Authors

100

Institutions

Publications per year

2017–2026

24

Authors

242

  1. JT
    Jan Teorell

    Lund University, Sweden

    6 publications · 185 citations

    6

    h-index

  2. ET
    Eitan Tzelgov

    University of Gothenburg, Sweden

    6 publications · 185 citations

    6

    h-index

  3. JG
    John Gerring

    The University of Texas at Austin, United States

    6 publications · 185 citations

    6

    h-index

  4. SI
    Staffan I. Lindberg

    University of Gothenburg, Sweden

    6 publications · 185 citations

    6

    h-index

  5. DP
    Daniel Pemstein

    North Dakota State University, United States

    6 publications · 185 citations

    6

    h-index

1–5 of 242

Venues

  1. 6

    h-index

  2. Computers & Geosciences

    CAGEO · 6 publications · 615 citations

    6

    h-index

  3. SSRN Electronic Journal

    Repository · 6 publications · 185 citations

    6

    h-index

  4. Remote Sensing of Environment

    4 publications · 308 citations

    4

    h-index

  5. 3

    h-index

1–5