Observation Data Processing
Observation Data Processing is a computational methodology within Global Navigation Satellite System surveying that transforms raw satellite signal measurements into refined positional and temporal data through the application of mathematical models, error correction algorithms, and statistical filtering techniques.
371
Publications
29.3K
Citations
1.5K
Authors
538
Institutions
Publications per year
2017–2026
149
Variants
Gnss Data Processing
371
The Global Land Data Assimilation System
Matthew Rodell, Paul R. Houser, U. Jambor et al. · Bulletin of the American Meteorological Society · 2004 · 5.7K citations · Full text
A maximum entropy approach to species distribution modeling
Steven J. Phillips, Robert E. Schapire · 2004 · 2.3K citations
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538

Chinese Academy of Sciences
Beijing, China
15 h-index
61 publications
1.3K citations
Wuhan University
Wuhan, China
14 h-index
42 publications
1.3K citations
Goddard Space Flight Center
Greenbelt, United States
11 h-index
30 publications
23.9K citations

National University of Defense Technology
Changsha, China
11 h-index
38 publications
1.3K citations

China Meteorological Administration
Beijing, China
8 h-index
24 publications
1K citations
The University of Tokyo
Tokyo, Japan
7 h-index
54 publications
3.5K citations
Chinese Academy of Meteorological Sciences
Beijing, China
6 h-index
11 publications
358 citations
National Oceanic and Atmospheric Administration
Washington, United States
6 h-index
12 publications
492 citations
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11 publications · 229 citations
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12 publications · 418 citations
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7 publications · 249 citations
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5 publications · 564 citations
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5 publications · 147 citations
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