Mapping wood and wood hazards in the Willamette Basin, Oregon
Description
Large wood in rivers pose hazards to people and infrastructure, particularly post wildfire. This work uses neural network models to map large wood in rivers from aerial imagery to understand how wood is distributed throughout river systems pre and post wildfire.
Detailed example
The system output is mapping the location and extent of large wood pre and post wildfires
AI / analytics pattern
Other
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
This work will help inform infrastructure hazards such as at dams and bridges, as well as to river users, such as rafters, inter-tubers, and fishermen.
Controls / human review
ATO: No; PIA: Not published
Data needed
Training data is labeled imagery, such as "wood", "water", "sediment", "vegetation", and cross-learning from a previous iteration of the model developed in a different watershed.