引用次数
引用: 512
H-指数: 10
I10-指数 : 10
出版物: 33
Cluster analysis and topoclimate modeling to examine bristlecone pine tree-ring growth signals in the Great Basin, USA
Tyler J Tran , Jamis M Bruening , Andrew G Bunn , Matthew W Salzer
Environmental Research Letters 12 ( 1) 014007
15
2017
Fine-scale modeling of bristlecone pine treeline position in the Great Basin, USA
Jamis M Bruening , Tyler J Tran , Andrew G Bunn , Stuart B Weiss
Environmental Research Letters 12 ( 1) 014008
14
2017
GEDI launches a new era of biomass inference from space
Ralph Dubayah , John Armston , Sean P Healey , Jamis M Bruening
Environmental Research Letters 17 ( 9) 095001 -095001
94
2022
Challenges to aboveground biomass prediction from waveform lidar
Jamis M Bruening , Rico Fischer , Friedrich J Bohn , John Armston
Environmental Research Letters 16 ( 12) 125013 -125013
14
2021
GEDI-FIA Fusion Enables Precise and Unbiased Biomass Estimation
Jamis M Bruening , Paul May , John David Armston , Ralph Dubayah
AGU23
2023
Integrating GEDI Observations with a Forest Model Predicts Stand-level Attributes
Jamis M Bruening , John David Armston , Hao Tang , Carlos Edibaldo Silva
AGU Fall Meeting Abstracts 2020 B042 -02
2020
Definition criteria determine the success of old-growth mapping
Jamis M Bruening , Ralph O Dubayah , Neil Pederson , Benjamin Poulter
Ecological Indicators 159 111709 -111709
2024
Connecting spaceborne lidar with NFI networks: A method for improved estimation of forest structure and biomass
Paul B May , Ralph O Dubayah , Jamis M Bruening , George C Gaines III
International Journal of Applied Earth Observation and Geoinformation 129 103797 -103797
2024
Downscaling climate in complex terrain with temperature sensor networks: deployment and data analysis challenges
Stuart B Weiss , Andrew G Bunn , Jamis M Bruening
AGU Fall Meeting Abstracts 2020 GC026 -0011
2020
Spatiotemporal Variability in the Climate Growth Response of High Elevation Bristlecone Pine in the White Mountains of California
Andrew G Bunn , Matthew W Salzer , Kevin J Anchukaitis , Jamis M Bruening
Geophysical Research Letters 45 ( 24) 13312 -13321
16
2018
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
Laura Duncanson , James R Kellner , John Armston , Ralph Dubayah
Remote Sensing of Environment 270 112845
47
2022
Precise and unbiased biomass estimation from GEDI data and the US forest inventory
Jamis Bruening , Paul May , John Armston , Ralph Dubayah
Frontiers in Forests and Global Change 6 1149153 -1149153
7
2023
The GEDI gridded biomass product: patterns of coverage and precision after two years of operation
Sean Healey , John Armston , Zhiqiang Yang , Ralph Dubayah
AGU Fall Meeting Abstracts 2021 B44D -05
1
2021
Quality assessment of the GEDI waveform structural complexity index
Tiago de Conto , Adrian Pascual , Elisabeth Powell , Jamis Bruening
AGU23
2023
On-orbit performance of GEDI aboveground biomass density algorithms.
James R Kellner , John David Armston , Laura Duncanson , J Bryan Blair
AGU23
2023
Characterizing the Model Domain for GEDI04_A Aboveground Biomass Density Algorithms
James R Kellner , John David Armston , Laura Duncanson , James Bryan Blair
AGU Fall Meeting Abstracts 2022 NS42A -02
2022
Evaluation of Machine-Learning Architectures and Expanded Feature Sets for GEDI Footprint Aboveground Biomass Density Prediction
Eugene Seo , John David Armston , Laura Duncanson , James Bryan Blair
AGU Fall Meeting Abstracts 2022 GC13A -03
2022
NASA’s Global Ecosystem Dynamics Investigation (GEDI): Progress towards global mapping of aboveground biomass
John Armston , Ralph Dubayah , Sean Healey , James Kellner
# PLACEHOLDER_PARENT_METADATA_VALUE# 334 -336
2021
On-orbit performance of GEDI footprint aboveground biomass models
James Kellner , John Armston , Laura Duncanson , James Blair
AGU Fall Meeting Abstracts 2021 B44D -04
2021
Performance of GEDI footprint aboveground biomass models
James R Kellner , Laura Duncanson , John David Armston , James Bryan Blair
AGU Fall Meeting Abstracts 2020 B029 -05
2020