Mapping individual tree crowns from aerial imagery helps us understand forest structure and monitor ecosystem health. But a major bottleneck remains: AI models often need new, manually labeled examples when moving to a different landscape …
Congratulations to Fujiang on receiving the Department’s Best Dissertation Award!
This is a wonderful recognition of the quality, creativity, and impact of his dissertation research. Fujiang has done outstanding work at the intersection of remote sensing, ecology, and environmental change, and it has been a …
New Publication: Fujiang Ji Develops Deep Learning Framework for High-Resolution Hyperspectral Reconstruction
We are excited to share that Fujiang Ji has published a new paper, “Robust hyperspectral reconstruction from satellite and airborne observations via a deep hierarchical fusion network across heterogeneous scenarios,” in Remote Sensing of Environment. …
AGU 2025!
New Study Led by Fujiang Ji Demonstrates How Satellite Hyperspectral Imaging Can Track Seasonal Plant Trait Dynamics Across U.S. Forests
A new paper led by Fujiang Ji demonstrates that satellite hyperspectral data can reliably track seasonal changes in plant physiology across U.S. forests. Using a framework that links PRISMA satellite imagery with NEON airborne hyperspectral …
Congratulations to Dr. Fujiang Ji on His Successful PhD Defense
We are thrilled to celebrate Fujiang Ji on the successful defense of his PhD dissertation. Fujiang’s dissertation, Understanding the Dynamics of Plant Functional Traits Across Spatial, Temporal, and Biological Scales Using Multi-Source Hyperspectral Remote Sensing …
New Publication: Advancing Understanding of Using SIF to Track Forest Carbon
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 …
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 …
Congratulations to Dr. Meng Luo on Her Successful PhD Defense
We are so pleased to celebrate Meng Luo on the successful defense of her PhD dissertation. Meng’s dissertation, Quantifying the Impacts of Forest Carbon Change on Future Land Use and Land Cover Change Projections, makes …
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”, …