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 …
Uncategorized
AttentionFire v2.0! Fa published a study on projecting large fires in the western US using a hybrid physical-ML model
“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 participated in Dairy Summit 2024 hosted by UW’s Dairy Innovation Hub
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 …
Fujiang and Fa led a publication on the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset
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 …
Congratulations to Fujiang, who received the department’s annual Thomas O’Brien Award!
New paper in Nature Climate Change: Xiaojia and Fa led a study investigating Boreal-Arctic wetland methane emissions
“Methane concentrations are rising faster than ever in the atmosphere. Now, a compilation of observations points towards increased methane emissions from Arctic wetlands as being partly responsible” – Commented by Torben R. Christensen Check out …
Hamid won the 2023 DIH Postdoctoral Fellowship – Congratulations!
Wisconsin is the second-largest dairy producer in the US, but the industry is facing challenges, including climate change and changes in dietary patterns. US climate policies, including carbon pricing, are complex due to variations between …