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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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Australia, Britain, Canada, and other countries have enacted reforms that turned mass shootings into rare, aberrational events rather than everyday occurrences. t.co/ZyhLyfSj5c
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The chilling effects are beyond NIH and cover all STEM areas. For scientists, the rules are unclear and thus the most logical thing to do is self censoring. t.co/TkZ1gHexbm
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Northern lights over Virginia's Shenandoah Valley last night. Towering pillars and vivid colors were visible for a few unforgettable moments. 📍 Big Meadows, @ShenandoahNPS, Virginia, USA t.co/4ZNv7qbxUk
