Title

Sensor integration and analysis for visual identification of environmental patterns

Authors

Patricia Morreale, Kean University
Guillermo Valle, Kean University
Johana Callegari, Kean University
Francis Kendall, Kean University

Document Type

Conference Proceeding

Publication Date

7-26-2011

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. © 2011 IEEE.

Publication Title

2011 IEEE International Systems Conference, SysCon 2011 - Proceedings

First Page Number

7

Last Page Number

12

DOI

10.1109/SYSCON.2011.5929047

Recommended Citation

Morreale, Patricia; Valle, Guillermo; Callegari, Johana; and Kendall, Francis, "Sensor integration and analysis for visual identification of environmental patterns" (2011). Kean Publications. 2272.
https://digitalcommons.kean.edu/keanpublications/2272