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
451
Blockchain technology overview
Dylan Yaga, Peter Mell, Nik Roby et al. · 2018 · 1.5K citations · Full text
Basic gait parameters: reference data for normal subjects, 10-79 years of age.
Tommy Öberg, A Karsznia, K. Öberg · PubMed · 1993 · 841 citations
Education, Kinesiology, Physiology +17
K Bogumil, J. Orphal, Thorsten Homann et al. · Journal of Photochemistry and Photobiology A Chemistry · 2003 · 821 citations
1–5 of 451
2.2K
5
h-index
5
h-index
3
h-index
3
h-index
3
h-index
1–5 of 2.2K
938

Chinese Academy of Sciences
Beijing, China
15 h-index
50 publications
2K citations
National Institute of Standards and Technology
Gaithersburg, United States
9 h-index
15 publications
433 citations
Joint Research Centre
Ispra, Italy
8 h-index
31 publications
3.9K citations

National Physical Laboratory
London, United Kingdom
8 h-index
15 publications
2.1K citations
Information Technology Laboratory
Gaithersburg, United States
7 h-index
12 publications
234 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
20 publications
1.2K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
7 h-index
25 publications
1.1K citations

Aarhus University
Aarhus, Denmark
6 h-index
13 publications
624 citations
1–8 of 938
20 publications · 592 citations
17
h-index
JCTC · 10 publications · 1.7K citations
10
h-index
10 publications · 715 citations
10
h-index
6 publications · 313 citations
6
h-index
AJCN · 6 publications · 1.8K citations
6
h-index
1–5