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Matthew Sumnall
Matthew Sumnall
Senior Researcher, Virginia Tech
Verified email at vt.edu
Title
Cited by
Cited by
Year
Comparison of small-footprint discrete return and full waveform airborne lidar data for estimating multiple forest variables
MJ Sumnall, RA Hill, SA Hinsley
Remote Sensing of Environment 173, 214-223, 2016
962016
Assessing the transferability of statistical predictive models for leaf area index between two airborne discrete return LiDAR sensor designs within multiple intensely managed …
M Sumnall, A Peduzzi, TR Fox, RH Wynne, VA Thomas, B Cook
Remote Sensing of Environment 176, 308-319, 2016
372016
Landsat 8 based leaf area index estimation in loblolly pine plantations
CE Blinn, MN House, RH Wynne, VA Thomas, TR Fox, M Sumnall
Forests 10 (3), 222, 2019
292019
Estimating leaf area index at multiple heights within the understorey component of Loblolly pine forests from airborne discrete-return lidar
MJ Sumnall, TR Fox, RH Wynne, C Blinn, VA Thomas
International Journal of Remote Sensing 37 (1), 78-99, 2016
262016
Mapping the height and spatial cover of features beneath the forest canopy at small-scales using airborne scanning discrete return Lidar
M Sumnall, TR Fox, RH Wynne, VA Thomas
ISPRS Journal of Photogrammetry and Remote Sensing 133, 186-200, 2017
232017
Analysis of a lidar voxel-derived vertical profile at the plot and individual tree scales for the estimation of forest canopy layer characteristics
M Sumnall, A Peduzzi, TR Fox, RH Wynne, VA Thomas
International Journal of Remote Sensing 37 (11), 2653-2681, 2016
172016
Estimating the overstory and understory vertical extents and their leaf area index in intensively managed loblolly pine (Pinus taeda L.) plantations using airborne laser scanning
MJ Sumnall, A Trlica, DR Carter, RL Cook, ML Schulte, OC Campoe, ...
Remote Sensing of Environment 254, 112250, 2021
152021
Effect of varied unmanned aerial vehicle laser scanning pulse density on accurately quantifying forest structure
MJ Sumnall, TJ Albaugh, DR Carter, RL Cook, WC Hession, OC Campoe, ...
International Journal of Remote Sensing 43 (2), 721-750, 2022
82022
The estimation of forest inventory parameters from small-footprint waveform and discrete return airborne LiDAR data
MJ Sumnall, RA Hill, SA Hinsley
SilviLaser 2012, 12th, 2012
82012
Estimation of individual stem volume and diameter from segmented UAV laser scanning datasets in Pinus taeda L. plantations
MJ Sumnall, TJ Albaugh, DR Carter, RL Cook, WC Hession, OC Campoe, ...
International Journal of Remote Sensing 44 (1), 217-247, 2023
62023
Complementarity increases production in genetic mixture of loblolly pine (Pinus taeda L.) throughout planted range
DR Carter, TJ Albaugh, OÁC Campoe, JJ Grossman, RA Rubilar, ...
Ecosphere 11 (11), e03279, 2020
32020
The Assessment of habitat condition and consevation status of lowland British woodlands using earth observation techniques.
MJ Sumnall
Bournemouth University, 2013
22013
Effect of airborne laser scanning pulse density on accuracy in quantifying forest structure using an unmanned aerial vehicle
M Sumnall, T Albaugh, D Carter, R Cook, C Hession, O Campoe, ...
# PLACEHOLDER_PARENT_METADATA_VALUE#, 287-290, 2021
12021
Towards forest condition assessment: evaluating small-footprint full-waveform airborne laser scanning data for deriving forest structural and compositional metrics
MJ Sumnall, RA Hill, SA Hinsley
Remote Sensing 14 (20), 5081, 2022
2022
Growth, Removals, and Management Intensity
RH Wynne, VA Thomas, S Bender, EB Brooks, JW Coulston, JM Derwin, ...
2019
Assessing the Transferability of Statistical Predictive Models for Leaf Area Index Between Two Airborne Discrete Return LiDAR Sensor Designs Within Multiple Intensely Managed …
A Peduzzi, RH Wynne, B Cook, TR Fox, VA Thomas, M Sumnall
2016
Virginia Tech GIS & Remote Sensing 2014 Research Symposium-Airborne LiDAR Analysis for Forested Environments in the South-East of the USA
M Sumnall
2014
Crown Complementarity Rather than Crown Selection Contributes to Stem Complementarity in Genetic Mixtures of Pinus Taeda L
D Carter, TJ Albaugh, M Sumnall, JJ Grossman, O Campoe, R Cook, ...
Available at SSRN 4310546, 0
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