Laura Duncanson
Laura Duncanson
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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
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
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
ISS observations offer insights into plant function
EN Stavros, D Schimel, R Pavlick, S Serbin, A Swann, L Duncanson, ...
Nature Ecology & Evolution 1 (7), 1-5, 2017
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
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
Small sample sizes yield biased allometric equations in temperate forests
L Duncanson, O Rourke, R Dubayah
Scientific reports 5 (1), 1-13, 2015
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
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
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 (4), 979-999, 2019
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
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 (4), 959-977, 2019
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 (4), 863-880, 2019
A semiautomated probabilistic framework for tree-cover delineation from 1-m NAIP imagery using a high-performance computing architecture
S Basu, S Ganguly, RR Nemani, S Mukhopadhyay, G Zhang, C Milesi, ...
IEEE Transactions on Geoscience and Remote Sensing 53 (10), 5690-5708, 2015
Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA
W Huang, A Swatantran, K Johnson, L Duncanson, H Tang, JON Dunne, ...
Carbon balance and management 10 (1), 1-16, 2015
Monitoring individual tree‐based change with airborne lidar
L Duncanson, R Dubayah
Ecology and evolution 8 (10), 5079-5089, 2018
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
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
Implications of allometric model selection for county-level biomass mapping
L Duncanson, W Huang, K Johnson, A Swatantran, RE McRoberts, ...
Carbon balance and management 12 (1), 1-11, 2017
The 2016 NASA AfriSAR campaign: Airborne SAR and Lidar measurements of tropical forest structure and biomass in support of future satellite missions
L Fatoyinbo, N Pinto, M Hofton, M Simard, B Blair, S Saatchi, Y Lou, ...
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
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