Still waiting for pictures from one of my fellow shooters but I received this pic earlier from the K family.
In other news, I finally was able to get some useful output from PnET-Day after wondering why the frequency MatLab kept giving me strange errors like undefined variables and boiler processes. And now to use my own data instead of the Harvard Experimental Forest site, which is predominantly hardwoods. Which model has the greatest predictive power? Tune in and find out if PnET, regression tree, or artificial neural network is the Most Powerful Predictor of NEE and evapotranspiration!
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