The University of Pittsburgh is the recipient of a $126,270 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) to develop new capabilities that advance the monitoring and understanding of forest carbon dynamics. The award period runs from October 1, 2024 to September 30, 2027. Through this project, the university will:
- Develop cross-platform and cross-region learning frameworks to enable fine-scale carbon dynamics monitoring at large geographic scales.
- Create high-fidelity fast approximations of theory-based carbon forecasting models using new meta-learning and invertible frameworks to enable global-scale predictive capabilities under diverse climate change scenarios.
- Develop theory-guided diffusion methods to significantly enhance the ability of theory-based models in improving predictions by leveraging new Earth observation data.
The goal of this research is to bridge key gaps in understanding forest carbon dynamics and provide critical information to support carbon budget estimation and climate change mitigation efforts. No subawards are planned for this award.
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