Title :
Sensor integration and analysis for visual identification of environmental patterns
Author :
Morreale, Patricia ; Callegari, Johana ; Valle, Guillermo ; Kendall, Francis
Author_Institution :
Dept. of Comput. Sci., Kean Univ., Union, NJ, USA
Abstract :
Sensor data integration is crucial for the analysis and identification of environmental patterns. In this research project, publicly available datasets of environmental sensor data are integrated with Google Earth. Information on environmental patterns is identified, analyzed, and presented on the Web in response to user queries. This prototype demonstrates how sensor data can be integrated with Google Earth to enable the geographic and temporal context display of environmental data, with an interactive format, for users to analyze and identify environmental patterns in real-time.
Keywords :
data handling; environmental science computing; geographic information systems; sensor fusion; Google Earth; environmental pattern identification; environmental sensor data; geographic context display; sensor data integration; temporal context display; user queries; visual identification; Data mining; Data visualization; Earth; Google; Real time systems; US Government agencies; XML; application design; data mining; sensor networks; systems integration;
Conference_Titel :
Systems Conference (SysCon), 2011 IEEE International
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4244-9494-1
DOI :
10.1109/SYSCON.2011.5929047