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

Duration:
7/1/2022 - 12/31/2023

Principal Investigator(s):

• Sergii Skakun

Research Funder:

• Other Non-Federal - NASA - Goddard Space Flight Center

Research Areas:

• Data Science, Analytics, and Visualization