The overall objective of this project was to preliminarily assess the use of UAV-based thermal imagery to sense harvest-related factors.  Results suggested that thermal imagery can be used to detect areas of high grain moisture content late in the harvest season.  Time periods closer to physiological maturity were less likely to show significant differences in thermal imagery data.  Additional research is needed to determine if moisture content trends with other measurable quantities such as vegetative indices or green color intensity.