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Laura Duncanson
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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
8852020
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
2652022
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
2392019
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
2382020
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
2342014
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
2062010
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
1782020
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
1752019
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
1732021
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
1652019
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
1552019
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
1362017
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
1352022
Small sample sizes yield biased allometric equations in temperate forests
L Duncanson, O Rourke, R Dubayah
Scientific reports 5 (1), 17153, 2015
1192015
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
1162020
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
1022010
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
892015
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
852019
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
842015
Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions
M Demol, H Verbeeck, B Gielen, J Armston, A Burt, M Disney, ...
Methods in Ecology and Evolution 13 (8), 1628-1639, 2022
742022
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