OMB Individually Reported
Oceanographic, coastal, and geomorphic change analysis: data generation, QC/QA, and data management [2024 INV#WO0000000109310]
Low riskExact public inventory row
Description
Machine learning to quantify coastal/marine change across broad scales. QC/QA processes in place to assess data robustness.
Detailed example
quantified coastal/marine change across broad scales and verified data for forecasting
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
Verified data will be used by USGS projects for forecasting trends (ie, shorelines, role of permafrost) in a variety of coastal/marine settings for US coasts.
Controls / human review
ATO: No; PIA: Not published
Data needed
Satellite, aerial and fixed camera imagery. Oceanographic and coastal time series data.