Reference Data Validation

Reference Data Validation is a methodological process within geospatial data quality assessment that verifies the accuracy and reliability of reference datasets by systematically comparing them against independent, higher-quality observations or authoritative sources to ensure their fitness for use in applications such as elevation data quality control, forest degradation assessment, and yield map validation.

451

Publications

29.5K

Citations

2.2K

Authors

938

Institutions

Publications per year

2017–2026

165

Authors

2.2K

  1. SG
    Shumei Guo

    Wright State University, United States

    5 publications · 338 citations

    5

    h-index

  2. AF
    Alex F. Roche

    Wright State University, United States

    5 publications · 338 citations

    5

    h-index

  3. JP
    Jouni Pulliainen

    Finnish Meteorological Institute, Finland

    3 publications · 312 citations

    3

    h-index

  4. AK
    Andreas Koch

    Indiana University Bloomington, United States

    3 publications · 74 citations

    3

    h-index

  5. CN
    Claudia Notarnicola

    Eurac Research, Italy

    3 publications · 223 citations

    3

    h-index

1–5 of 2.2K

Venues

  1. Remote Sensing

    20 publications · 592 citations

    17

    h-index

  2. Journal of Chemical Theory and Computation

    JCTC · 10 publications · 1.7K citations

    10

    h-index

  3. 10

    h-index

  4. International Journal of Remote Sensing

    6 publications · 313 citations

    6

    h-index

  5. American Journal of Clinical Nutrition

    AJCN · 6 publications · 1.8K citations

    6

    h-index

1–5