OMB Individually Reported
An integrated sensor network and data driven approach to satellite remote sensing of Dissolved Organic Matter
Low riskExact public inventory row
Description
AI leverages the very large water quality dataset from extensive existing in situ data at continuous monitoring stations to develop a remote sensing model with improved accuracy for DOM estimates from satellite images
Detailed example
A model that is applied to remote sensing imagery to provide a measurement of DOM in water bodies
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
Improved monitoring of water quality
Controls / human review
ATO: No; PIA: Not published