HOTLink: identifying elevated thermal anomalies at volcanoes [2024 INV#WO0000000109217]
Description
Moves beyond threshold-based hotspot detection algorithms using computer vision and CNN for improved detection of weka thermal signals that may be the first indiciation of volcanic unrest
Detailed example
Hotspot detections with probabilities, quantitative time series of volcanic radiative power
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
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Detects 22% more hotspots at volcanoes and produces 12% fewer false positivies across multiple satellite sensor platforms to accurately characterize background and eruptive periods, as well as providing probabilistic measures of detection confidence.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Satellite thermal images