Author

Thomas A. Lake

North Carolina State UniversityORCID 0000-0002-8836-5164Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

Brennen T FarrelliD· 1 shared Brittany B. LaginhasiD· 1 shared Chris M. JonesiD· 1 shared David A. MoelleriD· 1 shared Ross K. MeentemeyeriD· 1 shared Ryan D. Briscoe RunquistiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperEcology

Brennen T FarrellORCID

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2 papers

Recent·Most cited

EcologyISPRS Open Journal of Photogrammetry and Remote SensingPeer-reviewedJan 1, 2026

Continental-scale computer vision models reveal generalizable patterns and pitfalls for urban tree inventories with street-view images

Thomas A. Lake, Brittany B. Laginhas, Brennen T Farrell…·Chris M. Jones

The paper develops computer vision models to detect and classify urban trees using street-view images, finding 67.1% accuracy with performance varying by city and genus.

DOI 10.1016/j.ophoto.2026.100122

imagingdeep learning

𝕏 PostBluesky

EcologybioRxivPreprintMay 9, 2025

Two decades of satellite images reveal the spatial and temporal dynamics of leafy spurge invasion and improve species distribution models

Thomas A. Lake, Ryan D. Briscoe Runquist, David A. Moeller

The paper uses satellite imagery and machine learning to track leafy spurge invasion over 21 years, showing a 570% expansion and improving species distribution models.

DOI 10.1101/2025.05.09.653185

imagingdeep learning

𝕏 PostBluesky