Phil Wilkes
Phil Wilkes
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Cited by
Cited by
Data acquisition considerations for terrestrial laser scanning of forest plots
P Wilkes, A Lau, M Disney, K Calders, A Burt, JG de Tanago, ...
Remote Sensing of Environment 196, 140-153, 2017
Terrestrial laser scanning in forest ecology: Expanding the horizon
K Calders, J Adams, J Armston, H Bartholomeus, S Bauwens, LP Bentley, ...
Remote Sensing of Environment 251, 112102, 2020
Weighing trees with lasers: advances, challenges and opportunities
MI Disney, M Boni Vicari, A Burt, K Calders, SL Lewis, P Raumonen, ...
Interface Focus 8 (2), 20170048, 2018
Persistent reduced ecosystem respiration after insect disturbance in high elevation forests
DJP Moore, NA Trahan, P Wilkes, T Quaife, BB Stephens, K Elder, ...
Ecology letters 16 (6), 731-737, 2013
Leaf and wood classification framework for terrestrial LiDAR point clouds
MB Vicari, M Disney, P Wilkes, A Burt, K Calders, W Woodgate
Methods in Ecology and Evolution 10 (5), 680-694, 2019
Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems
W Woodgate, SD Jones, L Suarez, MJ Hill, JD Armston, P Wilkes, ...
Agricultural and Forest Meteorology 205, 83-95, 2015
Estimating urban above ground biomass with multi-scale LiDAR
P Wilkes, M Disney, MB Vicari, K Calders, A Burt
Carbon balance and management 13, 1-20, 2018
Mapping forest canopy height across large areas by upscaling ALS estimates with freely available satellite data
P Wilkes, SD Jones, L Suarez, A Mellor, W Woodgate, M Soto-Berelov, ...
Remote sensing 7 (9), 12563-12587, 2015
Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations
W Woodgate, JD Armston, M Disney, SD Jones, L Suarez, MJ Hill, ...
Agricultural and forest meteorology 226, 1-12, 2016
Using discrete‐return airborne laser scanning to quantify number of canopy strata across diverse forest types
P Wilkes, SD Jones, L Suarez, A Haywood, A Mellor, W Woodgate, ...
Methods in Ecology and Evolution 7 (6), 700-712, 2016
An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems
W Woodgate, M Disney, JD Armston, SD Jones, L Suarez, MJ Hill, ...
Forest Ecology and Management 358, 303-320, 2015
The world's tallest tropical tree in three dimensions
A Shenkin, CJ Chandler, DS Boyd, T Jackson, M Disney, N Majalap, ...
Frontiers in Forests and Global Change 2, 32, 2019
Seasonal pattern of regional carbon balance in the central Rocky Mountains from surface and airborne measurements
AR Desai, DJP Moore, WKM Ahue, PTV Wilkes, SFJ De Wekker, ...
Journal of Geophysical Research: Biogeosciences 116 (G4), 2011
Understanding the effects of ALS pulse density for metric retrieval across diverse forest types
P Wilkes, SD Jones, L Suarez, A Haywood, W Woodgate, M Soto-Berelov, ...
Photogrammetric Engineering & Remote Sensing 81 (8), 625-635, 2015
Quantifying urban forest structure with open-access remote sensing data sets
O Baines, P Wilkes, M Disney
Urban Forestry & Urban Greening 50, 126653, 2020
An architectural understanding of natural sway frequencies in trees
T Jackson, A Shenkin, J Moore, A Bunce, T Van Emmerik, B Kane, ...
Journal of the Royal Society Interface 16 (155), 20190116, 2019
New 3D measurements of large redwood trees for biomass and structure
M Disney, A Burt, P Wilkes, J Armston, L Duncanson
Scientific Reports 10 (1), 16721, 2020
Validating canopy clumping retrieval methods using hemispherical photography in a simulated Eucalypt forest
W Woodgate, JD Armston, M Disney, L Suarez, SD Jones, MJ Hill, ...
Agricultural and forest meteorology 247, 181-193, 2017
Searching for the Optimal Sampling Design for Measuring LAI in an Upland Rainforest.
W Woodgate, M Soto-Berelov, L Suarez, SD Jones, MJ Hill, P Wilkes, ...
GSR, 2012
Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests
L Terryn, K Calders, H Bartholomeus, RE Bartolo, B Brede, B D'hont, ...
Remote Sensing of Environment 271, 112912, 2022
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