Mapping ecohydrological headwater refugia
Description
This application of machine learning is being used to aggregate complex spatial data to develop a statistical model used to create detailed maps of headwater stream resources and habitat.
Detailed example
The supervised machine learning output will include a statistical model that produces raster files of spatial data with habitability scores for each pixel and used to produce high resolution maps of the output.
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
cut costs by producing more accurate results when mapping headwater stream resources and habitat that can be used to help ensure water security for the nation and healthy aquatic habitat necessary to maintain safe water resources
Controls / human review
ATO: No; PIA: Not published