|Title||Detecting Large Scale Traveling Ionospheric Disturbances using Feature Recognition and Amateur Radio Data|
|Publication Type||Conference Proceedings|
|Year of Conference||2022|
|Authors||Engelke, WD, Frissell, NA, Atkison, T, Erickson, PJ, Tholley, F|
|Conference Name||HamSCI Workshop 2022|
|Conference Location||Huntsville, AL|
A Large-Scale Transient Ionospheric Disturbance (LSTID) is a traveling perturbation in ionosphere electron density with a horizontal wavelength of approximately 1000 km and a period between 30 to 180 minutes. These can be detected by SuperDARN HF radar and GNSS Total Electron Content measurements. Recently it has been discovered that these can also be detected in amateur (ham) radio signal reports, which are now being generated in vast numbers by operators world-wide. A machine-learning technique was developed to find patterns in these data that indicate the presence of LSTIDs using an object detection technique.