OMB Individually Reported
Integrate High-resolution Satellite Remote Sensing Data with Automated Machine Learning Techniques to Enhance Water Quality Assessment
Low riskExact public inventory row
Description
understanding water quality in the Mississippi River using available data
Detailed example
predictions
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
improving understanding of water quality, prioritizing restoration of the Mississippi River
Controls / human review
ATO: No; PIA: Not published
Data needed
public and private industry data