Coupled Statistics-Physics Guided Learning to Harness Hetergeneous Earth Data at Large Scales
This project is funded by NASA’s Advanced Information Systems and Technology (AIST) program. It aims to advance machine learning for Earth Science problems. Specifically, we will develop new technologies that address two major challenges facing machine learning for broad Earth Science applications—spatial heterogeneity, where satellite observations and their relationships to the prediction targets vary over space, and the limited and highly localized nature of ground-truth data that are needed to train the algorithms.
Other Investigator: Yiqun Xie
7/1/2022 - 12/31/2023
- Other - NASA - Goddard Space Flight Center