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We are global change ecologists and we use various tools — remote sensing, field observations, and modeling — to understand the impact of climate change on our ecosystems. We travel to ecosystems from tropics to the arctic. We use novel remote sensing techniques to see the ecosystems in ways we couldn't. We use advanced computer science techniques to analyze geospatial products. Please contact xiyang@virginia.edu if you are interested in joining the lab! We are looking for motivated undergraduate, graduate students, and postdocs.
Latest Publications
- Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning
- Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content
- Climate change driving widespread loss of coastal forested wetlands throughout the North American coastal plain
- Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses
- Representation of Leaf-to-Canopy Radiative Transfer Processes Improves Simulation of Far-Red Solar-Induced Chlorophyll Fluorescence in the Community Land Model Version 5
- Climate Change Driving Widespread Loss of Coastal Forested Wetlands Throughout the North American Coastal Plain
Tweets from the lab
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It's time for our next virtual monthly seminar! Come hear from @WaterPotential and join our discussion this Friday, Oct 7th 1:00 ET. We will discuss the question "who is engaged in decisions about SWISLR and who is excluded?" Get the link - reach out via t.co/CXLm8KXPt8
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@NelsonInstitute @profdesai @theAGU @UW_AOS @UW_CCR Woohoo congrats @profdesai !
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@troymagney all the time :)