Topographic Data Modeling
Topographic Data Modeling is a formal methodological framework within geospatial science that specifies the representation, structuring, and computational interpretation of terrain features and elevation-based phenomena to enable accurate analysis and visualization in topographic cartography and modeling.
84
Publications
4.5K
Citations
249
Authors
127
Institutions
Publications per year
2017–2026
15
84
New land surface digital elevation model covers the Earth
Dean B. Gesch, Kristine L. Verdin, Susan K. Greenlee · Eos · 1999 · 298 citations
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127

Delft University of Technology
Delft, The Netherlands
5 h-index
10 publications
346 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
242 citations
United States Geological Survey
Reston, United States
3 h-index
8 publications
662 citations
Northumbria University
Newcastle upon Tyne, United Kingdom
2 h-index
3 publications
122 citations

Universitas Gadjah Mada
Yogyakarta, Indonesia
2 h-index
8 publications
256 citations
The Ohio State University
Columbus, United States
2 h-index
6 publications
180 citations
Holland Institute of Traffic Technology
Apeldoorn, Netherlands
2 h-index
2 publications
98 citations
Macau University of Science and Technology
Macao, Macao
2 h-index
5 publications
219 citations
1–8 of 127
JGR · 4 publications · 255 citations
4
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3 publications · 134 citations
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CAGEO · 2 publications · 72 citations
2
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2 publications · 550 citations
2
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2 publications · 138 citations
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