Research group
I linking cutting edge AI techniques to remote sensing for tropical forest observation and monitoring.
Qualifications
2017, MSc Environmental Technology, Imperial College London
2014, Master of Physics, University of Oxford
Key publications
Ball, J. G. C., Hickman, S. H., Jackson, T. D., Koay, X. J., Hirst, J., Jay, W., ... & Coomes, D. A. (2023). Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN. Remote Sensing in Ecology and Conservation.
Ball, J. G. C., Petrova, K., Coomes, D. A., & Flaxman, S. (2022). Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation. Methods in Ecology and Evolution, 13(11), 2622-2634.
Aubry-Kientz, M., Laybros, A., Weinstein, B., Ball, J. G. C., Jackson, T., Coomes, D., & Vincent, G. (2021). Multisensor data fusion for improved segmentation of individual tree crowns in dense tropical forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3927-3936.
Ball, J. G. C., Burgman, M. A., Goldman, E. D., & Lessmann, J. (2021). Protecting biodiversity and economic returns in resource‐rich tropical forests. Conservation Biology, 35(1), 263-273.
Vincent, G., Verley, P., Brede, B., Delaitre, G., Maurent, E., Ball, J. G. C., ... & Barbier, N. (2023). Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density. Remote Sensing of Environment, 286, 113442.
All publications
Websites
Awards and fellowships
2017, AECOM Prize for outstanding overall academic performance (Imperial College London)
2019, NERC PhD studentship
Teaching
Undergraduate supervision: Responses to Global Change, Natural Sciences Tripos, Part II, University of Cambridge.
Media appearance
Unpicking the rhythms of the Amazon rainforest - Where I work: James Ball (18 March 2021), Nature.
