Abstract | ||
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Abstract Based on the service specifications of the Open Geospatial Consortium (OGC), Spatial Data Infrastruc- tures (SDI) support the visualization, access to vector and raster data or managing,and search for spatial data. A standard for distributed spatial data processing was missing for a long,time. This issue was,addressed,by,the development,of the OpenGIS Web Processing Service (WPS) specification. However, to process and analyze massive Digital Elevation Models (DEM) computing,power and disk memory,are scarce commodities. Here we show that Grid Computing,in combination,with,OGC Web Services (OWS) is well suited to accomplish high process- ing performance,and,storage capacity,for large-scale processing tasks of the geo community. To process these massive amounts of geo-data we develop terrain processing services which,are made,available as grid services. Our results will be demonstrating,how,to bridge the gap between,the grid world,and the OGC world,for more sophisticated terrain processing. Keywords,DEM.Grid Computing.OGCWebservices. |
Year | DOI | Venue |
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2009 | 10.1007/s12145-009-0030-y | Earth Science Informatics |
Keywords | Field | DocType |
DEM,Grid Computing,OGC Web services,Processing,SDI,WPS | Geospatial analysis,Raster data,Data mining,Web Processing Service,Grid computing,Computer science,Web service,Distributed GIS,Database,Grid,Web Coverage Service | Journal |
Volume | Issue | ISSN |
2 | 1-2 | 1865-0473 |
Citations | PageRank | References |
7 | 0.79 | 14 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
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Sandra Lanig | 1 | 17 | 2.26 |
Alexander Zipf | 2 | 269 | 24.52 |