OMB Individually Reported
Supervised learning for phycocyanin estimation from Sentinel-2 MSI in inland waters with independent validation
Low riskExact public inventory row
Description
Need to accurately predict specific pigment concentrations directly from satellite data
Detailed example
Create framework for model development and demonstration of model ability to identify various pigments directly from satellite data
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Cost savings related to prediction of specific pigment concentrations directly from satellite data
Controls / human review
ATO: No; PIA: Not published