This novel approach to ecological remote sensing employs machine learning algorithms, lidar and aerial imagery to delineate patches of wetland vegetation and determine a statistical correlation between vertical stratification patterns of vegetation and horizontal landscape metrics using R (Master's Thesis, UC Berkeley)