LabCompass

Kaiguang Zhao

Environmental Science · The Ohio State University

OpenAlex ORCID
Established · publishing since 1991
Remote Sensing in AgricultureRemote Sensing and LiDAR ApplicationsForest ecology and managementPlant Water Relations and Carbon DynamicsCryospheric studies and observations

Publications

170

Citations

10,228

Est. group size

~9

Recurring co-author estimate

Active years

36

Publishing since 1991

Research summary
AI-generated

Kaiguang Zhao's research uses satellite and other remote sensing data, combined with machine learning, to study environmental and land surface processes. This includes monitoring forest and vegetation change, tracking harmful algal blooms and water quality in lakes, estimating soil properties, and mapping land surface variables like temperature and biomass carbon at large scales. The work generally aims to improve methods for observing and modeling environmental change using satellite imagery and statistical/machine-learning tools.

Remote sensing of vegetation and forestsWater quality and harmful algal bloom monitoringSoil property estimation via proximal/remote sensingLand surface temperature and climate data productsEcosystem disturbance and recovery dynamics

Publication output has fluctuated over the last decade but remained fairly steady overall, with a dip around 2020 and 2023 followed by a rebound to higher output in 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.2/year recently
2017: 10 publications172018: 9 publications182019: 13 publications192020: 5 publications202021: 10 publications212022: 13 publications222023: 4 publications232024: 15 publications15242025: 11 publications252026: 8 publications26
Recent publications
Publishes in
  • Remote Sensing×13
  • Remote Sensing of Environment×7
  • Figshare×5
  • Agricultural and Forest Meteorology×3
  • Soil and Tillage Research×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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