Author

L. Magee

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:ecology & biodiversity· 2 Assay:imaging· 2

Frequent Co-Authors

A. Singh· 2 shared A. Zare· 2 shared B. Weinstein· 2 shared P. Townsend· 2 shared S. Bohlman· 2 shared S. Marconi· 2 shared D. J. Johnson· 1 shared D. Johnson· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersEcology

A. Singh

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2 papers

Recent·Most cited

Individual tree crown maps for the National Ecological Observatory Network

B. Weinstein, S. Marconi, A. Zare, S. Bohlman, A. Singh, S. J. Graves, L. Magee, D. J. Johnson, S. Record, V. E. Rubio, N. G. Swenson, T. Veblen, P. Townsend, R. A. Andrus, E. P. White

The paper uses computer vision and deep neural networks to predict individual tree species, crown characteristics, and locations across 24 sites in the National Ecological Observatory Network.

bioRxiv · Oct 25, 2023Ecology

Capturing long-tailed individual tree diversity using an airborne multi-temporal hierarchical model

B. Weinstein, S. Marconi, S. Graves, A. Zare, A. Singh, S. Bohlman, L. Magee, D. Johnson, P. Townsend, E. White

The paper develops a multi-temporal hierarchical model to improve rare tree species classification in airborne imagery, achieving 75% accuracy for 14 species and generating species maps for over 670,000 trees.

bioRxiv · Dec 7, 2022 · PreprintEcology