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Laura Duncanson
Laura Duncanson
Dirección de correo verificada de umd.edu
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The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
R Dubayah, JB Blair, S Goetz, L Fatoyinbo, M Hansen, S Healey, ...
Science of remote sensing 1, 100002, 2020
7842020
An efficient, multi-layered crown delineation algorithm for mapping individual tree structure across multiple ecosystems
LI Duncanson, BD Cook, GC Hurtt, RO Dubayah
Remote Sensing of Environment 154, 378-386, 2014
2222014
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California
L Duncanson, A Neuenschwander, S Hancock, N Thomas, T Fatoyinbo, ...
Remote Sensing of Environment 242, 111779, 2020
2202020
The GEDI simulator: A large‐footprint waveform lidar simulator for calibration and validation of spaceborne missions
S Hancock, J Armston, M Hofton, X Sun, H Tang, LI Duncanson, ...
Earth and Space Science 6 (2), 294-310, 2019
2172019
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
L Duncanson, JR Kellner, J Armston, R Dubayah, DM Minor, S Hancock, ...
Remote Sensing of Environment 270, 112845, 2022
2112022
Estimating forest canopy height and terrain relief from GLAS waveform metrics
LI Duncanson, KO Niemann, MA Wulder
Remote Sensing of Environment 114 (1), 138-154, 2010
2012010
Validation of ICESat-2 terrain and canopy heights in boreal forests
A Neuenschwander, E Guenther, JC White, L Duncanson, P Montesano
Remote Sensing of Environment 251, 112110, 2020
1632020
The importance of consistent global forest aboveground biomass product validation
L Duncanson, J Armston, M Disney, V Avitabile, N Barbier, K Calders, ...
Surveys in geophysics 40, 979-999, 2019
1632019
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping
CA Silva, L Duncanson, S Hancock, A Neuenschwander, N Thomas, ...
Remote Sensing of Environment 253, 112234, 2021
1562021
New opportunities for forest remote sensing through ultra-high-density drone lidar
JR Kellner, J Armston, M Birrer, KC Cushman, L Duncanson, C Eck, ...
Surveys in Geophysics 40, 959-977, 2019
1502019
Ground data are essential for biomass remote sensing missions
J Chave, SJ Davies, OL Phillips, SL Lewis, P Sist, D Schepaschenko, ...
Surveys in Geophysics 40, 863-880, 2019
1422019
ISS observations offer insights into plant function
EN Stavros, D Schimel, R Pavlick, S Serbin, A Swann, L Duncanson, ...
Nature Ecology & Evolution 1 (7), 0194, 2017
1342017
GEDI launches a new era of biomass inference from space
R Dubayah, J Armston, SP Healey, JM Bruening, PL Patterson, JR Kellner, ...
Environmental Research Letters 17 (9), 095001, 2022
1152022
Small sample sizes yield biased allometric equations in temperate forests
L Duncanson, O Rourke, R Dubayah
Scientific reports 5 (1), 17153, 2015
1122015
Towards mapping the diversity of canopy structure from space with GEDI
FD Schneider, A Ferraz, S Hancock, LI Duncanson, RO Dubayah, ...
Environmental Research Letters 15 (11), 115006, 2020
1032020
Integration of GLAS and Landsat TM data for aboveground biomass estimation
LI Duncanson, KO Niemann, MA Wulder
Canadian Journal of Remote Sensing 36 (2), 129-141, 2010
1012010
Assessing the general patterns of forest structure: Quantifying tree and forest allometric scaling relationships in the U nited S tates
LI Duncanson, RO Dubayah, BJ Enquist
Global Ecology and Biogeography 24 (12), 1465-1475, 2015
822015
The importance of spatial detail: Assessing the utility of individual crown information and scaling approaches for lidar-based biomass density estimation
LI Duncanson, RO Dubayah, BD Cook, J Rosette, G Parker
Remote Sensing of Environment 168, 102-112, 2015
822015
Statistical properties of hybrid estimators proposed for GEDI—NASA’s global ecosystem dynamics investigation
PL Patterson, SP Healey, G Ståhl, S Saarela, S Holm, HE Andersen, ...
Environmental Research Letters 14 (6), 065007, 2019
772019
Aboveground woody biomass product validation good practices protocol
L Duncanson, J Armston, M Disney, V Avitabile, N Barbier, K Calders, ...
Land Product Validation Subgroup (WGCV/CEOS, 2021
652021
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