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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 …

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.

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 …

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 …

Fujiang has been awarded the department’s Joon Lee Award in recognition of his outstanding academic performance. Congratulations!

Haoran led a study published in Remote Sensing of Environment. This study reveals that measuring the near-infrared reflectance of vegetation (NIRvP) in the “hotspot” direction—where satellite sensors align with the sun’s path—offers a stronger correlation …

“Anthropogenic climate change has caused more frequent and widespread large fires in the western United States (US). Interpretable and accurate methods that can predict large fires in advance and at a high spatial resolution are …

Hamid and Min were invited to give a talk and poster presentation at Dairy Summit 2024 on Nov. 20, hosted by UW’s Dairy Innovation Hub (DIH), focusing on assessment of impacts of climate policy and …

We compiled a comprehensive dataset of leaf traits and spectra to explore the transferability of predictive models. We found that while PLSR models demonstrate commendable performance in predicting chlorophyll content, carotenoid, leaf water, and leaf …