Environmental Data Quality Control

Environmental Data Quality Control is a systematic process within environmental data management that ensures the accuracy, consistency, and reliability of environmental data through predefined validation, calibration, and verification procedures.

65

Publications

2.4K

Citations

358

Authors

134

Institutions

Publications per year

2017–2026

22

Authors

358

  1. GT
    Greg Timms

    Commonwealth Scientific and Industrial Research Organisation, Australia

    2 publications · 48 citations

    2

    h-index

  2. JS
    Jeffery S. Horsburgh

    Utah State University, United States

    2 publications · 92 citations

    2

    h-index

  3. AS
    Amber Spackman Jones

    Utah State University, United States

    2 publications · 92 citations

    2

    h-index

  4. IV
    Ilja van Meerveld

    University of Zurich, Switzerland

    2 publications · 69 citations

    2

    h-index

  5. JR
    Jeffrey R. Taylor

    National Ecological Observatory Network, United States

    2 publications · 178 citations

    2

    h-index

1–5 of 358

Venues

  1. Journal of Environmental Management

    2 publications · 79 citations

    2

    h-index

  2. Sensors

    2 publications · 125 citations

    2

    h-index

  3. Ecological Informatics

    2 publications · 40 citations

    2

    h-index

  4. Environmental Modelling & Software

    2 publications · 104 citations

    2

    h-index

  5. Journal of Cleaner Production

    2 publications · 93 citations

    2

    h-index

1–5