Patterns in the Landscape – Analyses of Cause and Effect
Description
ML satellite image classification is being used to better map flooding and fire events/characteristics for more effect hazard management.
Detailed example
Classified maps are based on a prediction based on the characteristics of the input training information and the spatial data used to predict the presence of a feature
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
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
High quality mapping of disasters allows us to better understand the causes and effects.
Controls / human review
ATO: No; PIA: Not published
Data needed
We compare results with ground and remote sensing based reference data