Title :
Spatio-temporal indexing of the Quikscat wind data
Author :
Rodrìguez, Félix R. ; Barrena, Manuel
Author_Institution :
Dept. of Eng. of Informatic & Telematic Syst., Univ. of Extremadura, Caceres, Spain
Abstract :
Global wind data are increasingly used in many applications and research fields, mainly because it provides global coverage of ocean winds with an unprecedented view, and data are available at a sufficiently large spatial scale and high temporal resolution. Global wind data provided by QuikSCAT is highly variable and needs a completely adapted index to enhance the retrieval process of the desired data. A novel indexing method has been developed, named Q-full-tree, integrating two existing structures: Q-tree, as the spatial index, and LV-tree, as the temporal index. Also, a particularized bulk load process for the QuikSCAT data has been designed. Q-full-tree remains completely accessible all wind data from the QuikSCAT since the satellite was launched, at any granularity, any spatial query, and any time interval.
Keywords :
geographic information systems; geophysical techniques; indexing; remote sensing; tree data structures; wind; LV-tree; Q-full-tree; Q-tree; QuikSCAT wind data; global wind data; granularity; ocean winds; spatial index; spatial query; spatio-temporal indexing; Data engineering; Indexing; Informatics; NASA; Oceans; Road transportation; Satellites; Spatial resolution; Spatiotemporal phenomena; Telematics; GIS; Geocomputation; Geospatial data; Spatio-temporal databases; Spatio-temporal indexing;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5418129