INTEGRATION OF REAL-TIME WEATHER RADAR DATA AND INTERNET OF THINGS WITH CLOUD-HOSTED REAL-TIME DATA SERVICES FOR THE GEOSCIENCES (CHORDS)

被引:0
作者
Gooch, R. [1 ]
Chandrasekar, V. [1 ]
机构
[1] Colorado State Univ, Elect & Comp Engn, 1373 Campus Delivery, Ft Collins, CO 80523 USA
来源
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年
关键词
CHORDS; Radar; EarthCube; Real-Time; Cloud Computing;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Advances in sensing, hardware, and wireless communications are allowing for an ever-increasing array of previously unmeasured weather phenomena at large scales. Integrating these new data with existing technologies and paradigms is of tantamount importance, in order to be able to respond quickly to emerging weather phenomena such as flash floods, tornadoes, and hail storms in real-time. Currently, integrating the massive amount of available data from various types of sensors, including rain gauges, hail sensors, radar, UAV, etc, is challenging and at times in possible, to analyze rapidly developing systems in real-time. This paper addresses this problem and presents a concept for integrating real-time weather radar data with ground sensors using CHORDS portals, allowing for the integration of large volumes of data in real-time using cloud computing technologies.
引用
收藏
页码:4519 / 4521
页数:3
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