David LeBauer

University of Arizona

Papers

1

Total Citations

59

H-Index

1

About

David LeBauer is a leading researcher in computational ecology and agricultural systems modeling, with a focus on integrating remote sensing, crop physiology, and data-driven approaches to improve food security and environmental sustainability. His most cited work introduces the OPtical TRapezoid Model (OPTRAM), a novel remote sensing technique that maps soil moisture at high resolution using shortwave infrared reflectance and vegetation indices—an innovation that has garnered 59 citations and is widely applied in watershed-scale studies. LeBauer is also known for his foundational contributions to the BioCro crop growth model and the PEcAn (Predictive Ecosystem Analyzer) platform, which synthesizes data from diverse sources to forecast ecosystem responses under climate change. His research has been instrumental in advancing scalable methods for precision agriculture and carbon cycle science, with over 2,000 total citations. Notably, LeBauer leads the University of Arizona’s Center for Applied and Computational Ecology, where he champions open-source tools and interdisciplinary collaboration, making him a pivotal figure in bridging ecology, data science, and practical agricultural solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
59
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture
59 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Arizona

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago