We reviewed data collection and research at the intersection of biodiversity, instrumentation, and machine learning at NEON sites.
We surveyed methods that have been developed at other locations but could potentially be employed at NEON sites.
We elaborated on five fruitful future paths for automated biodiversity measurement at NEON sites.
I mainly contributed to discussing the path of expanded remote and ground-based measurements for plant biodiversity.
Examples of phenology image and land–water interface image from the Smithsonian Conservation Biology Institute and Posey Creek NEON sites, both taken on Nov 1 2019.
