Motivated by an eastern spruce budworm outbreak traveling down from Canada, researchers in the School of Forest Resources at the University of Maine and colleagues in the U Maine Advanced Computing Group have been applying machine learning techniques to map the evolving state of the forest to provide accurate and up-to-date information as the outbreak develops. Coupling improvements to their algorithms with more efficient data handling, the collaboration is developing software that will support locally adaptive mapping of forest resources and environmental conditions across increased spatial scales.