Kaiguang Zhao
Associate Professor
Columbus, Ohio Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolKaiguang Zhao is an Associate Professor of Environmental Modeling and Spatial Analysis at Ohio State University with nine years of faculty experience and a PhD in Forestry from Texas A&M. His research blends geotechnology, machine learning, Bayesian statistics, eddy-covariance, and biophysical/climate modeling to map, monitor, and model terrestrial ecosystems’ structure and function across scales in a changing climate. He specializes in developing geospatial applications using hyperspectral, high-resolution, hyper-temporal remote sensing and lidar to quantify carbon storage, disturbance patterns, vegetation composition, and climate-driven mortality. Zhao’s work spans applied questions—where land use best provides climate regulation services and how crop productivity may shift under warming—to methodological advances that improve ecosystem monitoring from air- and ground-based data. Based in Columbus, he brings a rare combination of physics, geography, and forestry training to translate complex environmental data into decision-relevant insights.
9 years of coding experience
7 years of employment as a software developer
Master's Degree, Geography, Master's Degree, Geography at Beijing Normal UniversityDoctor of Philosophy (Ph.D.), Forestry, Doctor of Philosophy (Ph.D.), Forestry at Texas A&M University
Github Skills (5)
bayesian10
trend10
decomposition10
time-series9
python3
Programming languages (1)
Github contributions (5)
zhaokg/Rbeast
Jul 2019 - Jan 2023
Bayesian Change-Point Detection and Time Series Decomposition
Contributions:5 releases, 147 commits, 4 PRs in 3 years 6 months
breakpoint-detectionchange-pointdecompositionpointtrend-analysis
zhaokg/Ptest
Sep 2023 - Sep 2024
Contributions:140 pushes, 1 branch in 11 months
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