Inferring flowering phenology of wind-pollinated plants with high spatiotemporal resolution imagery
Yiluan Song1, Zhe Zhu2, Daniel Katz3, Claudie Beaulieu4 and Kai Zhu1, (1)University of California Santa Cruz, Department of Environmental Studies, Santa Cruz, CA, United States, (2)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States, (3)Cornell University, School of Integrative Plant Science, Ithaca, United States, (4)University of California Santa Cruz, Department of Ocean Sciences, Santa Cruz, United States