Author

James Ball

Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementORCID 0000-0002-0165-5290Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 4

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Approach:deep learning· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:ecology & biodiversity· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Anil MadhavapeddyiD· 3 shared David A. CoomesiD· 3 shared Grégoire VincentiD· 3 shared Nicolas BarbieriD· 3 shared Sadiq JafferiD· 3 shared Anthony LaybrosiD· 2 shared Colin PrieuriD· 2 shared Benoît BurbaniD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersEcology

Anil MadhavapeddyORCID

Mutual co-authors in cluster

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4 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

Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests

James Ball, Jana Annika Wicklein, Zhengpeng Feng, Jovana Knezevic, Sadiq Jaffer, Anil Madhavapeddy, Clement Atzberger, Michele Dalponte, David A. Coomes

This paper evaluates geospatial foundation models for tree species mapping in mountain forests, finding they outperform traditional methods with fewer labels and preserve ecological structure, though performance degrades over time.

Science of Remote Sensing · Jul 10, 2026Peer-reviewedEcology

Monitoring tropical forests with light drones: ensuring spatial and temporal consistency in stereophotogrammetric products

Nicolas Barbier, Pierre Ploton, Hadrien Tulet, Gaëlle Viennois, Hugo Leblanc, Benoît Burban, Maxime Réjou‐Méchain, Philippe Verley, James Ball, Denis Feurer, Grégoire Vincent

The paper describes a drone-based photogrammetric method to monitor tropical forests with high spatial and temporal consistency, using Time-SIFT and Arosics algorithms to improve alignment and vegetation analysis.

ISPRS Open Journal of Photogrammetry and Remote Sensing · Dec 10, 2025Peer-reviewedEcology

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