Crowdsourced Geospatial Data Processing
Crowdsourced Geospatial Data Processing is a geospatial data processing approach that leverages volunteered geographic information from a distributed network of non-expert contributors to generate, validate, or refine spatial datasets through collective participation.
34
Publications
1.5K
Citations
141
Authors
88
Institutions
Publications per year
2017–2026
15
Parents
34
1–5 of 34
141
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88
National University of Ireland, Maynooth
Maynooth, Ireland
4 h-index
4 publications
529 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
3 publications
81 citations

University of Twente
Enschede, The Netherlands
2 h-index
3 publications
473 citations
University College London
London, United Kingdom
2 h-index
5 publications
112 citations
Politecnico di Milano
Milan, Italy
2 h-index
4 publications
266 citations
Heidelberg University
Heidelberg, Germany
2 h-index
4 publications
123 citations
University of Brescia
Brescia, Italy
2 h-index
3 publications
57 citations
United States Geological Survey
Reston, United States
2 h-index
2 publications
34 citations
1–8 of 88
IJGI · 6 publications · 564 citations
6
h-index
2 publications · 108 citations
2
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1 publications · 25 citations
1
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1 publications · 44 citations
1
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1 publications · 53 citations
1
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