Digital Terrain Model Processing
Digital Terrain Model Processing is a computational methodology within geospatial analysis that transforms raw elevation data into refined terrain representations by removing non-terrain features such as vegetation and urban structures, thereby enabling accurate hydrological and topographical modeling.
370
Publications
19.7K
Citations
1.3K
Authors
533
Institutions
Publications per year
2017–2026
111
Parents
370
1–5 of 370
1.3K
Institute of Mathematical Problems of Biology, Russia
6 publications · 626 citations
6
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 1.3K
533

Centre National de la Recherche Scientifique
Paris, France
11 h-index
28 publications
1.1K citations
United States Geological Survey
Reston, United States
9 h-index
15 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
11 publications
236 citations

University of Padua
Padua, Italy
6 h-index
13 publications
985 citations
Institute of Mathematical Problems of Biology
Pushchino, Russia
5 h-index
5 publications
608 citations
Technical University of Munich
Munich, Germany
5 h-index
6 publications
296 citations
University College London
London, United Kingdom
5 h-index
9 publications
303 citations
Nanjing Normal University
Nanjing, China
5 h-index
23 publications
418 citations
1–8 of 533
24 publications · 1.2K citations
16
h-index
CAGEO · 13 publications · 470 citations
13
h-index
12 publications · 400 citations
12
h-index
10 publications · 1K citations
10
h-index
10 publications · 305 citations
10
h-index
1–5