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
65
1–5 of 65
358
Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 48 citations
2
h-index
2
h-index
2
h-index
2
h-index
National Ecological Observatory Network, United States
2 publications · 178 citations
2
h-index
1–5 of 358
134

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
11 publications
214 citations
National Ecological Observatory Network
Boulder, United States
3 h-index
28 publications
633 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
3 h-index
3 publications
114 citations

Sichuan University
Chengdu, China
2 h-index
2 publications
125 citations
University of Zurich
Zurich, Switzerland
2 h-index
8 publications
276 citations
European Commission
Brussels, Belgium
2 h-index
3 publications
111 citations
Environment and Climate Change Canada
Ottawa, Canada
2 h-index
3 publications
59 citations
Joint Research Centre
Ispra, Italy
2 h-index
4 publications
170 citations
1–8 of 134
2 publications · 79 citations
2
h-index
2 publications · 125 citations
2
h-index
2 publications · 40 citations
2
h-index
2 publications · 104 citations
2
h-index
2 publications · 93 citations
2
h-index
1–5