Content
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
- High Heterogeneity in Canopy Temperature among Co-occurring Tree Species in a Temperate Forest
- Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations
- On the covariation of chlorophyll fluorescence and photosynthesis across scales
- Photosynthetic and respiratory acclimation of understory shrubs in response to in situ experimental warming of a wet tropical forest
- A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence
- Reply to “Height-related changes in forest composition explain increasing tree mortality with height during an extreme drought”
Tweets from the lab
- Thank @ESAApplications for introducing our study! It started from the question that, since photosynthesis and respiration are the two end processes of plant carbon cycle, what information is contained in their relationship. CUE is an important and classic one, what else? t.co/mebnVFZAxT
- After a mass shooting left 51 dead in 2019, New Zealand sprang to action, quickly banning most semi-automatic weapons and launching a buyback scheme. Jacinda Ardern, the country’s prime minister, said the response was “pragmatic.” t.co/k7zyPdHjbW t.co/F9QOWn1Cqj
- We are hiring! The @badgrs_lab is looking for a Data Scientist to work on our project with @ZhouZhang10, @profdesai, and others on using geostationary ("weather") satellites to monitor the terrestrial carbon cycle. Please RT. More at t.co/UFqZQzypCd