Author

I. Harmon

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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Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Singh· 2 shared A. Zare· 2 shared B. G. Weinstein· 2 shared D. Stewart· 2 shared E. P. White· 2 shared S. A. Bohlman· 2 shared S. Marconi· 2 shared A. Steinkraus· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersEcology

A. Singh

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2 papers

Recent·Most cited

Continental-scale hyperspectral tree species classification in the United States National Ecological Observatory Network

S. Marconi, B. G. Weinstein, S. Zou, S. A. Bohlman, A. Zare, A. Singh, D. Stewart, I. Harmon, A. Steinkraus, E. P. White

The paper develops a continental-scale tree species classifier using NEON data, showing better accuracy than site-specific models and highlighting challenges in species classification across diverse ecosystems.

bioRxiv · Dec 22, 2021Ecology

Data science competition for cross-site delineation and classification of individual trees from airborne remote sensing data

S. J. Graves, S. Marconi, D. Stewart, I. Harmon, B. G. Weinstein, Y. Kanazawa, V. M. Scholl, M. B. Joseph, J. McClinchy, L. Browne, M. K. Sullivan, S. Estrada-Villegas, E. Tusa, D. Z. Wang, A. Singh, , E. P. White

This paper runs a data science competition to improve methods for delineating and classifying individual trees from remote sensing data across multiple sites.

bioRxiv · Aug 6, 2021 · PreprintEcology