We just released data on crown maps for 100 million trees in the National Ecological Observatory Network (NEON) with information on location, species identify, size, and alive/dead status.
We created this dataset by combining deep learning, remote sensing, and extensive field data to build models that can detect and classify individual trees. Models are almost 80% accurate and can be improved with additional field data collection.
We’re excited to announce the initial release of crown maps for 100 million trees in the National Ecological Observatory Network (NEON) with information on location, species identify, size, a…
