Distributed Raster Data Management
Distributed Raster Data Management is a computational framework within geospatial database systems that enables the storage, indexing, querying, and processing of large-scale raster data across interconnected nodes in a distributed environment, distinguished by its focus on spatial data partitioning, parallel access, and consistency maintenance.
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Publications
42
Citations
12
Authors
4
Institutions
Publications per year
2017–2026
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Peter Baumann, Dimitar Mišev, Vlad Merticariu et al. · 2018 · 17 citations
A novel method to manage very large raster data on distributed key-value storage system
Yunqin Zhong, Shangchun Sun, Haojun Liao et al. · 2011 · 10 citations
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Constructor University
Bremen, Germany
1 h-index
5 publications
85 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
30 citations
University of California, Riverside
Riverside, United States
1 h-index
2 publications
30 citations
Institute of Computing Technology
Beijing, China
1 h-index
2 publications
20 citations
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