We can improve phenological data integration

Duffy, Katharyn

Thursday, August 6, 2020

Katharyn Duffy, School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, Jeffrey Morisette, National Invasive Species Council, U.S. Department of the Interior, Fort Collin, CO and Andrew D. Richardson, Center for Ecosystem Science and Society; School of informatics, Computing and Cyber Systems, Northern Arizona University, AZ

With a growing wave of phenological data across scales - from in-situ measurements (USA-NPN, NEON) to phenological cameras (PhenoCams) and remotely sensed data (LandSat, MODIS) - we can now track phenological anomalies and shifts in near real-time. But we, as a scientific community, have been doing this all wrong. These data vary in scale, frequency, and precision, making data synthesis challenging, thus limiting our ability to constrain and forecast phenology. Here we present a suite of tools, the Advanced Phenological Information Systems, to help harness the full potential of these data, gain insight through their integration, and do better science.

INS 17 Abstract - We can improve phenological data integration