Near-real-time automated classification of seismic signals of slope failures with continuous random forests
<p>In mountainous areas, rockfalls, rock avalanches, and debris flows constitute a risk to human life and property. Seismology has proven a useful tool to monitor such mass movements, while increasing data volumes and availability of real-time data streams demand new solutions for automatic si...
Main Authors: | M. Wenner, C. Hibert, A. van Herwijnen, L. Meier, F. Walter |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-01-01
|
Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://nhess.copernicus.org/articles/21/339/2021/nhess-21-339-2021.pdf |
Similar Items
-
A small house
by: Smith, W. Wenner (Winfred Wenner)
Published: (2006) -
Automated classification of seismic signals recorded on the Åknes rock slope, Western Norway, using a convolutional neural network
by: N. Langet, et al.
Published: (2023-02-01) -
Test of the Nabataean Painted Fine Ware typology in Aila’s Area K
by: Sarah Wenner
Published: (2021-12-01) -
Patient Safety in the Time of COVID-19
by: William Wenner
Published: (2020-06-01) -
Vulnerability, food aid, and dependency Views from development geography
by: Miriam Wenner
Published: (2017-06-01)