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Paul B. May
Paul B. May
Assistant Professor of Mathematics, South Dakota School of Mines & Technology
在 sdsmt.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
The Dynamics of Nanoparticle Growth and Phase Change During Synthesis of β-NaYF4
PB May, JD Suter, PS May, MT Berry
The Journal of Physical Chemistry C 120 (17), 9482-9489, 2016
382016
Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean …
A Pascual, J Guerra-Hernández, J Armston, DM Minor, LI Duncanson, ...
Forest Ecology and Management 538, 120975, 2023
122023
A spatially varying model for small area estimates of biomass density across the contiguous United States
P May, KS McConville, GG Moisen, J Bruening, R Dubayah
Remote Sensing of Environment 286, 113420, 2023
112023
On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake
N Hunka, M Santoro, J Armston, R Dubayah, RE McRoberts, E Næsset, ...
Environmental Research Letters 18 (12), 124042, 2023
82023
Precise and unbiased biomass estimation from GEDI data and the US forest inventory
J Bruening, P May, J Armston, R Dubayah
Frontiers in Forests and Global Change 6, 1149153, 2023
82023
Connecting spaceborne lidar with NFI networks: A method for improved estimation of forest structure and biomass
PB May, RO Dubayah, JM Bruening, GC Gaines III
International Journal of Applied Earth Observation and Geoinformation 129 …, 2024
22024
A spatial mixture model for spaceborne lidar observations over mixed forest and non-forest land types
PB May, AO Finley, RO Dubayah
Journal of Agricultural, Biological and Environmental Statistics, 1-24, 2024
22024
Response envelopes for linear coregionalization models
P May, M Biesecker, HM Rekabdarkolaee
Journal of Multivariate Analysis 192, 105015, 2022
22022
Dimension reduction for spatial regression: Spatial predictor envelope
P May, HM Rekabdarkolaee
Spatial Statistics, 100838, 2024
12024
Mapping aboveground biomass in Indonesian lowland forests using GEDI and hierarchical models
PB May, M Schlund, J Armston, MM Kotowska, F Brambach, A Wenzel, ...
Remote Sensing of Environment 313, 114384, 2024
2024
Spatio-temporal areal models to support small area estimation: An application to national-scale forest carbon monitoring
ES Shannon, AO Finley, PB May, GM Domke, HE Andersen, GC Gaines, ...
arXiv preprint arXiv:2407.09909, 2024
2024
Calibrating satellite maps with field data for improved predictions of forest biomass
PB May, AO Finley
arXiv preprint arXiv:2407.07134, 2024
2024
Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation
N Hunka, L Duncanson, J Armston, R Dubayah, SP Healey, M Santoro, ...
Authorea Preprints, 2024
2024
GEDI-FIA Fusion Enables Precise and Unbiased Biomass Estimation
JM Bruening, P May, JD Armston, R Dubayah
AGU Fall Meeting Abstracts 2023 (1896), B11J-1896, 2023
2023
On the synergy of the NASA GEDI and NASA/ISRO NISAR missions for monitoring ecosystem structure and biomass
JD Armston, R Dubayah, W Qi, M Urbazaev, P May, S Saarela
AGU Fall Meeting Abstracts 2023 (889), GC11F-0889, 2023
2023
Methods for High-Dimensional Spatial Data: Dimension Reduction and Covariance Approximation
P May
South Dakota State University, 2021
2021
National Forest Biomass Assessments Enhanced with Earth Observation to Aid Climate Policy Needs
N Hunka, P May, A Alanís, RM Saucedo, L Duncanson, ...
AGU24, 0
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