OMB Individually Reported
Forest metrics at Redwood National and State Parks
Low riskExact public inventory row
Description
We are developing a convolutional neural network in TensorFlow to predict the presence of treefall gaps based on Sentinel-2 imagery.
Detailed example
Maps of forest canopy gaps
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
This information will help active timber management and will reduce wildfire risk and increase forest resilience.
Controls / human review
ATO: No; PIA: Not published