Monitoring plant invasions in Hawaiian rainforests through multi-temporal unmixing

We evaluated the potential of a multi-temporal MESMA for invasive species mapping in Hawaiian rainforests. EO-1 Hyperion data were compiled in a single image cube and ingested into MESMA. The temporal analysis provided a way to incorporate species phenology meanwhile a feature selection technique automatically identified the best time and best feature set to optimize the separability among the target tree species. Our analysis showed a systematic increase in the invasive species detection success when compared to the output of the traditional unitemporal approach (Kappa = 0.69 vs 0.78).