Norway's Operational Avalanche Activity Monitoring System Using Sentinel-1

Knowledge of the spatial and temporal occurrence of avalanche activity is critical for avalanche forecasting and hazard mapping. We present an automatic avalanche monitoring system for Norway. Our system enables us to monitor the release of large avalanches daily. The system monitors the forecasting...

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Bibliographic Details
Published in:	2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS pp. 236 - 238
Main Authors:	Muller, Karsten, Eckerstorfer, Markus, Grahn, Jakob, Malnes, Eirik, Engeset, Rune, Humstad, Tore, Widforss, Aron
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11-07-2021
Subjects:	automatic detection avalanche monitoring Geoscience and remote sensing Hazards Image segmentation Neural networks Orbits radar Reliability SAR Sentinel-1 Snow Snow avalanches
Online Access:	Get full text
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Summary:	Knowledge of the spatial and temporal occurrence of avalanche activity is critical for avalanche forecasting and hazard mapping. We present an automatic avalanche monitoring system for Norway. Our system enables us to monitor the release of large avalanches daily. The system monitors the forecasting regions of the Norwegian Avalanche Warning Service continuously throughout the winter. We apply our detection algorithm to an RGB composite of two successive Sentienl-1 images from the same orbit. Detections from several orbits are combined to improve the estimate of the avalanche release time. Our probability of detection depends on the avalanche type and size and is 57% combined.
ISSN:	2153-7003
DOI:	10.1109/IGARSS47720.2021.9553152