Author

V. M. Scholl

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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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Singh· 1 shared A. Zare· 1 shared B. G. Weinstein· 1 shared B. Schmid· 1 shared D. S. Schimel· 1 shared D. Stewart· 1 shared D. Z. Wang· 1 shared E. P. White· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperEcology

A. Singh

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2 papers

Recent·Most cited

EcologybioRxivAug 11, 2022

Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale

F. D. Schneider, M. Longo, E. Paul-Limoges…·P. R. Moorcroft

The paper uses remote sensing and modeling to show that functional diversity boosts productivity at local scales but not at larger scales, with environmental factors playing a key role.

DOI 10.1029/2023jg007421

statistical modelecology & biodiversity

𝕏 PostBluesky

EcologybioRxivPreprintAug 6, 2021

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

S. J. Graves, S. Marconi, D. Stewart…·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.

DOI 10.1101/2021.08.06.453503

imagingdeep learning

𝕏 PostBluesky