Social and Behavioral Sciences Commons^™

Integration Of Multi-Temporal Optical And L-Band Synthetic Aperture Radar (Sar) Imagery For Hierarchical Agricultural Crop Classification In Northeastern Ontario, Canada, Autumn A. Gambles

Electronic Thesis and Dissertation Repository

This study integrated multi-temporal, multispectral optical and L-band synthetic aperture radar (SAR) imagery to classify agricultural crops throughout a single growing season in northeastern Ontario, Canada. Various optical and SAR band/date combinations were tested to identify optimal dates and datasets for crop classification at various phenological stages using both object-based decision tree rulesets and traditional per-pixel strategies. Object-based decision tree classification of 2 pairs of SPOT-5 optical and L-Band ALOS SAR imagery yielded crop identification accuracy results comparable with hierarchically masked per-pixel classification, with corn classes regularly achieving high classification accuracies (+90%). Regardless of classification approach, results indicate that at …