Individual canopy tree species maps for the National Ecological Observatory Network.

ABSTRACT: The ecology of forest ecosystems depends on the composition of trees. Capturing fine-grained information on individual trees at broad scales provides a unique perspective on forest ecosystems, forest restoration, and responses to disturbance. Individual tree data at wide extents promises to increase the scale of forest analysis, biogeographic research, and ecosystem monitoring without losing details on individual species composition and abundance. Computer vision using deep neural networks can convert raw sensor data into predictions of individual canopy tree species through labeled data collected by field researchers. Using over 40,000 individual tree stems as training data, we create landscape-level species predictions for over 100 million individual trees across 24 sites in the National

SUBMITTER: Weinstein BG 

PROVIDER: S-EPMC11251727 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature