Liberal Arts and Sciences
GeoDI Lab
Led by Di Yang · Geography
What we study
The lab uses machine learning, cloud computing, and citizen science to study land use changes, ecosystems, and human-environment interactions. They analyze large ecological and remote sensing databases to support conservation and policy.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Projects
- 4
Current projects
Forecasting Mosquito-Borne Disease Risk in a Changing Climate
Using citizen science and NASA data to predict disease risks under climate change.
Evaluating Long-term Impacts of Land-use Transformation on Fire Regimes
Studies how changes in land use have affected wildfire patterns over the long term, using machine learning and large datasets.
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Monitoring the Yermo xanthocephalus (desert yellowhead) using high-resolution UAS data and novel AI/ML workflows
Uses drone imagery and AI to monitor desert yellowhead, a rare plant, over time.
Quantifying Effects of Land Cover Change-Climate Interaction on Ecosystem Productivity Over Western North America
Measuring how land cover changes impact ecosystem health in North America.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
How to reach out
Di Yang hasn't set up this page yet. Their UF Scholars profile lists their publications.