We are excited to announce the publication of a new paper from our lab in Remote Sensing of Environment, led by Haoran Liu. The team developed TECs-SIF, a new computer model that can simulate both …
Year: 2025
New Publication: Hyperspectral Remote Sensing Improves Photosynthesis Modeling
We are excited to announce that our lab’s latest research, led by Haoran Liu with contributions from Fa Li, Hamid Dashti, and Min Chen, has been published in Remote Sensing of Environment:“Hyperspectral surface reflectance improves …
New Publication: Terrestrial Carbon Cycle Uncertainty Challenging Energy Transition Predictability
We are thrilled to announce the release of our latest open-access publication: We are excited to share that our latest open-access paper, “Uncertain Global Terrestrial Carbon Cycles Complicate the Predictability of Global Energy Transition Pathways”, …
New Publication: TECs (v1) — Bridging Carbon Flux Modeling and Hyperspectral Observations
Congratulations to Haoran Liu, PhD student in our lab, on his new publication in Journal of Advances in Modeling Earth Systems! The paper, “TECs (v1): A Terrestrial Ecosystem Carbon Cycle Simulator Integrated with Spectral Reflection …
New Publication in Ecology Letters Reveals the Link between Canopy Structure and Max Light Use Efficiency
Hamid led a significant new publication, titled “Canopy Structure Exhibits Linear and Nonlinear Links to Biome-Level Maximum Light Use Efficiency“, in Ecology Letters. By synthesizing data from an extensive network of 320 global eddy covariance …
Great day at EPIC
Our lab enjoyed a fun and relaxing day touring the EPIC campus! From whimsical architecture to beautiful walking paths, it was a great chance to unwind, explore, and spend time together outside the lab.
🎓 Congratulations to Haoran Liu on a Successful Ph.D. Defense! 🎓
A big round of applause to Haoran Liu for successfully defending his Ph.D. dissertation! His hard work, intellectual curiosity, and commitment to advancing science have truly paid off. Haoran’s research has made significant contributions to …
New Study Reveals How Transfer Learning Enhances Leaf Trait Prediction Across Ecosystems
We’re excited to share our new publication in Remote Sensing of Environment, titled “Leveraging transfer learning and leaf spectroscopy for leaf trait prediction across biomes” (link to article), led by Fujiang. Accurate prediction of leaf …
New Publication on Forest Carbon Dynamics and Land Use Change
Our lab has published a new article in Global Change Biology, titled “Role of Forest Carbon Change in Shaping Future Land Use and Land Cover Change”. This research, led by Meng Luo, investigates how global …
Fujiang wins the Joon Lee award
Fujiang has been awarded the department’s Joon Lee Award in recognition of his outstanding academic performance. Congratulations!