Today has limited progress in research. Instead, I presented to Dr. Qu about my current progresses in my Flammap research, such as the discoveries I made yesterday regarding firebreaks.

Dr. Qu told me that perhaps my paper could be focused on adjusting various firebreak placements based on money allotted and fire intensity. I plan to implement this by training the machine learning agent on various days (that have different weather conditions that cause difference in fire intensity), and on various different amounts of firebreak pixels the agent is able to place

Tomorrow, the FMSF team would be back from vacation. I hope they answer my API related questions, and that I can get the files sorted out quickly enough to implement the actual machine learning model.