Flux sensor towers involve many pieces of equipment including observation instruments, reference instruments, data loggers, power sources, and others. For researchers, determining the optimal placement of each item requires collecting and interpreting data from many sources. This process can be technically and physically arduous.
Dynamically-generated wind rose data visualizations
|Background:||A wind rose is a graphical representation of the wind patterns for a geographical location. For carbon observation, siting individual instruments as well as entire towers takes careful planning, and periodic reevaluation in the face of "disturbances" such as wildfires, crop harvesting, and species migration. Data visualization coupled with UAV imagery can reduce effort in the evaluation of potential sites. In addition, data processing and interpretation can be enhanced by reference to visualized wind data.|
This is a sample resulting wind rose page, slightly modified for presentation here. The example shows wind roses centered on a tower site in Saskatchewan.
 Image credit: Gil Bohrer and Tim Morin
 Image credit: AmeriFlux
 Image credit: Jonathan Thom