Title :
A Tool to Query and Visualize the Complete SRTM Data Set Indexed by the Q-tree in an Open GIS
Author :
Rodríguez, Félix Rodríguez ; Piñero, José J Hernández ; Garcia, Marley Becerra
Author_Institution :
Media Eng. Group, Univ. of Extremadura, Caceres
Abstract :
Geospatial data are increasingly frequent and useful in Visualization, Virtual Reality and, of course, Geographic Information System (GIS) applications due to its realism. Most of the geospatial data sources are heterogeneous because they come from diverse satellites and the data are of different nature. Nevertheless, the Shuttle Radar Topographic Mission (SRTM) provided an unique source of uniform data of the almost entire Earth´s surface. On the other hand, to make effective and efficient regional queries over these SRTM data, the indexing with a space partitioning data structure is needed, making easy the visualization of their results. This paper presents a tool to query an visualize the complete SRTM data set indexed by the Q-tree multidimensional index structure. The tool .is totally integrated into the VTBuilder, an open GIS, allowing the visual selection of rectangular and polygonal spatial query regions and the retrieval of the query results by using the multidimensional index. The query results of the selected regions can also be exported to files with two specific format types for their further analysis. Finally, the visualization takes place in both 2D and virtual 3D rendering for its visual analysis.
Keywords :
data structures; data visualisation; geographic information systems; query processing; remote sensing by radar; topography (Earth); virtual reality; visual databases; Q-tree multidimensional index structure; SRTM; Shuttle Radar Topographic Mission; VTBuilder; data visualization; geographic information system; geospatial data sources; open GIS; space partitioning data structure; spatial query regions; virtual reality; Data visualization; Earth; Geographic Information Systems; Indexing; Multidimensional systems; Radar; Satellites; Space shuttles; Surface topography; Virtual reality; GeoVisualization; Geographic Virtual Reality; Geospatial data; Shuttle Radar Topographic Mission; Spatial databases and GIS;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779625