Elevation Data Processing
Elevation Data Processing is a computational methodology within topographic modeling that transforms raw elevation measurements into structured, analyzable forms by applying algorithms for filtering, interpolation, resampling, and error correction to enhance spatial accuracy and representation fidelity.
212
Publications
16.9K
Citations
647
Authors
271
Institutions
Publications per year
2017–2026
46
Parents
212
1–5 of 212
647
4
h-index
3
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3
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3
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3
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1–5 of 647
271

Chinese Academy of Sciences
Beijing, China
8 h-index
18 publications
473 citations
United States Geological Survey
Reston, United States
7 h-index
21 publications
1.8K citations
The Ohio State University
Columbus, United States
4 h-index
12 publications
396 citations
ETH Zurich
Zurich, Switzerland
4 h-index
9 publications
564 citations
Jet Propulsion Laboratory
Pasadena, United States
3 h-index
9 publications
1.2K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
3 h-index
12 publications
785 citations
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
1.5K citations

University of Minnesota
Minneapolis, United States
3 h-index
7 publications
1.2K citations
1–8 of 271
9 publications · 811 citations
9
h-index
8 publications · 827 citations
8
h-index
8 publications · 1.2K citations
8
h-index
CAGEO · 8 publications · 641 citations
8
h-index
7 publications · 304 citations
7
h-index
1–5