During the fall semester, Camelia Mosor, Computer Science major and undergraduate in the ESSTE program in Ecoss, learned about potential applications of AI-based tools to assist with analysis and interpretation of PhenoCam imagery. Her interest led to working with Jacob on annotation of images from his work at the Sevilleta Mean-Variance Experiment in New Mexico. Now Camelia has a project that is all her own—she was just awarded a $6500 grant from the Save-the-Redwoods League for her proposal, Automated Fog Detection in Coast Redwood Forests. Mentored by George Koch and Andrew, Camelia’s project will develop and train a machine learning model to detect the presence of fog in phenocam imagery at 4 research sites in George and Andrew’s Redwoods Observatory Network. She will then use the model to describe recent fog history and relate it to other sensor-based indicators of fog at sites in Monterey County, Santa Cruz County, Sonoma County, and Del Norte County.
Congratulations, Camelia, on this fantastic achievement!

The fog comes
on little cat feet.
It sits looking
over harbor and city
on silent haunches
and then moves on.
— Carl Sandburg












