Interference from clouds, aerosols, and strong water surface reflection known as sunglint are major obstacle for obtaining accurate satellite retrievals. Thus, the SSAI OMI team set out to develop new techniques to mitigate this challenge using machine learning.

SSAI computer scientist Maura Tokay set out to predict the crop yield for corn, wheat, and soybeans using meteorological data in conjunction with machine learning predictive models in order to determine the importance of each weather variable on crop yield outcome.