Biography
Phil is a Research Leader of the Nature Unlocked: Landscape Ecology Programme at RBG Kew and is based at Wakehurst. His interests are in the use of remote sensing, in particular LiDAR, to characterise forest structure, from individual branches and trees to continental scales. Most recently, he has developed techniques to efficiently capture and process plot scale terrestrial LiDAR data outputs which have been used in cal/val of satellite based above ground biomass missions. Phil’s other interests include characterising the configuration and value of urban forests as well as modelling remote sensing signals with radiative transfer models.
Publications
Cao, Yujie et al. (2023). “Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees”. In: International Journal of Applied Earth Observation and Geoinformation 123, p. 103490.
Farhoodi, Roozbeh et al. (2023). “Comparing dendritic trees with actual trees”. In: arXiv preprint arXiv:2307.01499.
Krause, Paris et al. (2023). “Using terrestrial laser scanning to evaluate nondestructive aboveground biomass allometries in diverse Northern California forests”. In: Frontiers in Remote Sensing 4, p. 1132208.
Tebaldini, Stefano et al. (2023). “TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono-and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and in-situ forest census”. In: Remote Sensing of Environment 290, p. 113532.
Wielgosz, Maciej, Stefano Puliti, Phil Wilkes, and Rasmus Astrup (2023). “Point2Tree (P2T)–framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest”. In: arXiv preprint arXiv:2305.02651.
Calders, Kim, Hans Verbeeck, et al. (2022). “Laser scanning reveals potential underestimation of biomass carbon in temperate forest”. In: Ecological Solutions and Evidence 3.4, e12197.
Cao, Yujie et al. (2022). “Tree segmentation in airborne laser scanning data is only accurate for canopy trees”. In: bioRxiv, pp. 2022–11.
Demol, Miro et al. (2022). “Volumetric overestimation of small branches in 3D reconstructions of Fraxinus excelsior”. In: Silva Fennica 56.1.
Forbes, Brieanne et al. (2022). “Comparing remote sensing and field-based approaches to estimate ladder fuels and predict wildfire burn severity”. In: Frontiers in Forests and Global Change 5, p. 818713.
Terryn, Louise, Kim Calders, Harm Bartholomeus, Ren´ee E Bartolo, et al. (2022). “Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests”. In: Remote Sensing of Environment 271, p. 112912.
Wilkes, Phil, Mathias Disney, John Armston, et al. (2022). “TLS2trees: a scalable tree segmentation pipeline for TLS data”. In: Methods in Ecology and Evolution.
Bentley, Lisa Patrick et al. (2021). “Evaluating Remote Sensing Approaches to Describe Forest Structure for Ladder Fuel Estimation and to Predict Wildfire Burn Severity”. In: AGU Fall Meeting Abstracts. Vol. 2021, B25E–1510.
Forbes, Brieanne K et al. (2021). “Plot-level ladder fuel estimation from a suite of remote sensing and field methods”. In.
Jackson, Tobias D et al. (2021). “The mechanical stability of the world’s tallest broadleaf trees”. In: Biotropica 53.1, pp. 110–120.
Skirnewskaja, Jana, Yunuen Montelongo, Phil Wilkes, and Timothy D Wilkinson (2021). “LiDAR-derived digital holograms for automotive head-up displays”. In: Optics express 29.9, pp. 13681–13695.
Terryn, Louise, Kim Calders, Harm Bartholomeus, Renee E Bartolo, et al. (2021). “Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion”. In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, pp. 8281–8284.
Wilkes, Phil, Alexander Shenkin, et al. (2021). “Terrestrial laser scanning to reconstruct branch architecture from harvested branches”. In: Methods in Ecology and Evolution 12.12, pp. 2487–2500.
Baines, Oliver, Phil Wilkes, and Mathias Disney (2020). “Quantifying urban forest structure with open-access remote sensing data sets”. In: Urban Forestry & Urban Greening 50, p. 126653.
Calders, Kim, Jennifer Adams, et al. (2020). “Terrestrial laser scanning in forest ecology: Expanding the horizon”. In: Remote Sensing of Environment 251, p. 112102.
Disney, Mathias, Andrew Burt, Phil Wilkes, John Armston, and Laura Duncanson (2020). “New 3D measurements of large redwood trees for biomass and structure”. In: Scientific Reports 10.1, p. 16721.
Jackson, T et al. (2019). “An architectural understanding of natural sway frequencies in trees”. In: Journal of the royal society interface 16.155, p. 20190116.
Shenkin, Alexander et al. (2019). “The world’s tallest tropical tree in three dimensions”. In: Frontiers in Forests and Global Change 2, p. 32.
Vicari, Matheus B et al. (2019). “Leaf and wood classification framework for terrestrial LiDAR point clouds”. In: Methods in Ecology and Evolution 10.5, pp. 680–694.
Calders, K et al. (2018). “Terrestrial LiDAR for measuring above-ground biomass and forest structure”. In: Effective Field Calibration and Validation Practices.
Disney, Mathias I et al. (2018). “Weighing trees with lasers: advances, challenges and opportunities”. In: Interface Focus 8.2, p. 20170048.
Wilkes, Phil, Mathias Disney, Matheus Boni Vicari, Kim Calders, and Andrew Burt (2018). “Estimating urban above ground biomass with multi-scale LiDAR”. In: Carbon balance and management 13, pp. 1–20.
Wilkes, Phil, Alvaro Lau, et al. (2017). “Data acquisition considerations for terrestrial laser scanning of forest plots”. In: Remote Sensing of Environment 196, pp. 140–153.
Woodgate, William, John D Armston, Mathias Disney, Lola Suarez, et al. (2017). “Validating canopy clumping retrieval methods using hemispherical photography in a simulated Eucalypt forest”. In: Agricultural and forest meteorology 247, pp. 181–193.
Wilkes, Phil, Simon D Jones, Lola Suarez, Andrew Haywood, Andrew Mellor, et al. (2016). “Using discrete-return airborne laser scanning to quantify number of canopy strata across diverse forest types”. In: Methods in Ecology and Evolution 7.6, pp. 700–712.
Woodgate, William, John D Armston, Mathias Disney, Simon D Jones, et al. (2016). “Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations”. In: Agricultural and Forest Meteorology 226, pp. 1–12.
Wilkes, Phil, Simon D Jones, Lola Suarez, Andrew Haywood, William Woodgate, et al. (2015). “Understanding the effects of ALS pulse density for metric retrieval across diverse forest types”. In: Photogrammetric Engineering & Remote Sensing 81.8, pp. 625–635.
Wilkes, Phil, Simon D Jones, Lola Suarez, Andrew Mellor, et al. (2015). “Mapping forest canopy height across large areas by upscaling ALS estimates with freely available satellite data”. In: Remote sensing 7.9, pp. 12563–12587.
Woodgate, William, Mathias Disney, et al. (2015). “An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems”. In: Forest Ecology and Management 358, pp. 303–320.
Woodgate, William, Simon D Jones, et al. (2015). “Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems”. In: Agricultural and Forest Meteorology 205, pp. 83–95.
Moore, David JP et al. (2013). “Persistent reduced ecosystem respiration after insect disturbance in high elevation forests”. In: Ecology letters 16.6, pp. 731– 737.
Desai, Ankur R et al. (2011). “Seasonal pattern of regional carbon balance in the central Rocky Mountains from surface and airborne measurements”. In: Journal of Geophysical Research: Biogeosciences 116.G4.
