GPS Cockpit
Document Type
Oral Presentation
Campus where you would like to present
SURC 202
Start Date
17-5-2012
End Date
17-5-2012
Abstract
The United States Geological Survey (USGS) and the Pacific Northwest Geodetic Array (PANGA) at Central Washington University monitor real-time GPS measurements along the Cascadia Subduction Zone. This data is critical for researching and monitoring earthquake activity. Hundreds of monitoring stations throughout the Pacific Northwest collect this data. Previously, only a few minutes’ worth of data was viewable at a time. Our team developed software for observing, virtually, shifts in the earth’s plates in up to 24-hour time intervals. This application provides a map of the GPS monitoring stations from which the PANGA team streams live data, along with a graph view to monitor the streaming movement. Additionally, the application runs independently on each user’s system while minimizing the amount of necessary memory space during its execution.
Recommended Citation
Stahl, Rosie; Kostick, Megan; Stockwell, Wendy; Kinkade, Kyle; and Abundiz, Sergio, "GPS Cockpit" (2012). Symposium Of University Research and Creative Expression (SOURCE). 2.
https://digitalcommons.cwu.edu/source/2012/oralpresentations/2
Additional Mentoring Department
Computer Science
Additional Mentoring Department
Geological Sciences
GPS Cockpit
SURC 202
The United States Geological Survey (USGS) and the Pacific Northwest Geodetic Array (PANGA) at Central Washington University monitor real-time GPS measurements along the Cascadia Subduction Zone. This data is critical for researching and monitoring earthquake activity. Hundreds of monitoring stations throughout the Pacific Northwest collect this data. Previously, only a few minutes’ worth of data was viewable at a time. Our team developed software for observing, virtually, shifts in the earth’s plates in up to 24-hour time intervals. This application provides a map of the GPS monitoring stations from which the PANGA team streams live data, along with a graph view to monitor the streaming movement. Additionally, the application runs independently on each user’s system while minimizing the amount of necessary memory space during its execution.
Faculty Mentor(s)
Razvan Andonie, Tim Melbourne