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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
- Regional-scale phenology modeling based on meteorological records and remote sensing observations
- Earlier-season vegetation has greater temperature sensitivity of spring phenology in Northern Hemisphere
- Evaluating remotely sensed phenological metrics in a dynamic ecosystem model
- Application of DMSP/OLS nighttime light images: A meta-analysis and a systematic literature review
- Relationship between leaf physiologic traits and canopy color indices during the leaf expansion period in an oak forest
- Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests
Tweets from the lab
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Excited to share a new @NatureComms paper, "Observed increasing water constraint on vegetation growth over the last three decades," led by @jiaowz w/ @ecohydro_wang and others t.co/ceKOQWWJag
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Cloud to Street is hiring a Radar #RemoteSensing Scientist! We are looking for someone with expertise in the analysis of high-resolution synthetic aperture #radar (SAR) imagery to lead algorithm development for #flood detection. Apply here: t.co/QMuBSB2G8n
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Two new books reorient and inspire our collective understanding of trees, writes @rebeccagiggs. “This newfound tree is networked, sensitive, companionate, and communicative ... capable of so much more than we once imagined.” t.co/QRj5EbJjEl
