Using machine learning and hyperspectral imagery to classify plant species seasonally and annually.
Using hyperspectral and/or thermal data to monitor plant stress.
Developing algorithms that reduce training data constraints such as know precise location.
Using laboratory and airborne thermal spectroscopy data for vegetation applications.
Using machine learning and hyperspectral data to estimate seasonal plant traits at the leaf and canopy.