Sensor integration and analysis for visual identification of environmental patterns

Patricia Morreale, Guillermo Valle, J. Callegari, F. Kendall
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引用次数: 1

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.
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环境模式视觉识别的传感器集成与分析
传感器数据集成对于环境模式的分析和识别至关重要。在这个研究项目中,公开的环境传感器数据集与谷歌地球相结合。在响应用户查询时,识别、分析和在Web上显示有关环境模式的信息。该原型演示了如何将传感器数据与Google Earth集成,以交互式格式显示环境数据的地理和时间背景,以便用户实时分析和识别环境模式。
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