Author

Colin Prieur

Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementORCID 0000-0002-2875-4627Unclaimed 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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Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:plant (other)· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Anil MadhavapeddyiD· 2 shared Anthony LaybrosiD· 2 shared David A. CoomesiD· 2 shared Grégoire VincentiD· 2 shared James G C BalliD· 2 shared Nicolas BarbieriD· 2 shared Sadiq JafferiD· 2 shared T. D. JacksoniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersEcology

Anil MadhavapeddyORCID

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2 papers

Recent·Most cited

Consistent crown phenology, not functional traits, predicts whether tropical trees can be mapped from imaging spectroscopy

James Ball, Sadiq Jaffer, Anthony Laybros, Colin Prieur, Anil Madhavapeddy, Nicolas Barbier, Grégoire Vincent, David A. Coomes

The paper finds that consistent crown phenology, not functional traits, is the key factor determining whether tropical tree species can be accurately mapped using imaging spectroscopy.

bioRxiv · Oct 26, 2026 · PreprintEcology

Advances and limits of species-level canopy mapping in a hyperdiverse tropical forest: multi-temporal crown segmentation and airborne imaging spectroscopy

James G C Ball, Sadiq Jaffer, Anthony Laybros, Colin Prieur, T. D. Jackson, Anil Madhavapeddy, Nicolas Barbier, David A. Coomes, Grégoire Vincent

This study evaluates species-level canopy mapping in a hyperdiverse tropical forest using multi-temporal crown segmentation and airborne hyperspectral data, finding 70% canopy area correctly mapped to species.

bioRxiv · Jun 24, 2024 · PreprintEcology