Comparison of two imager-based methods for determination of winds aloft

Recent developments in instrumentation have made it possible to make remote ground-based unattended observations of environmental conditions such as present weather. Two sky image processing algorithms are compared to derive winds aloft from sequential images. One algorithm uses a single sky image and a single ceilometer; the second algorithm uses two separate imagers spaced approximately one mile apart. The goal of this work is to develop new approaches for the extraction of accurate environmental parameters such as cloud type and winds for general meteorology and airport safety applications.