James R. Kellner Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
John Brown University
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Biography and Research Information
OverviewAI-generated summary
Dr. James R. Kellner's research focuses on applying remote sensing technologies to ecological and agricultural challenges. His expertise encompasses forest ecology and management, vegetation dynamics, and species distribution modeling in the context of climate change. Kellner's work leverages LiDAR and other remote sensing techniques to study aboveground biomass and other ecological parameters. He has contributed to projects associated with NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission, including the development of biomass density models and algorithms. His research explores the intersection of plant molecular biology and Earth-system science, as evidenced by work connecting chlorophyll a fluorescence to broader ecological processes.
Metrics
- h-index: 32
- Publications: 119
- Citations: 6,055
Selected Publications
- A Closer Look at Uncertainties in Forest Ecosystem Surveys Using Remotely Sensed Data and Model-Based Inference (2025) DOI
- Towards Global Spaceborne Lidar Biomass: Developing and Applying Boreal Forest Biomass Models for Icesat-2 Laser Altimetry Data (2024) DOI
- Radiocarbon ages of macroscopic charcoal fragments found in Hawaiian drylands (2024) DOI
- Corrigendum to ‘Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data’: [Icarus 365 (2021) 114402] (2021) DOI
- Successes and challenges of factor analysis/target transformation application to visible-to-near-infrared hyperspectral data (2021) DOI
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