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Distributed sensor network to assess landslide probability over time Using geophysics, drilling, and remote sensing to assess the landslide hazard
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Classroom Contents
Near-Surface Geophysics Reception and Award Ceremony
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- 1 Intro
- 2 Near-Surface Geophysics Executive Committee (2022)
- 3 2022 HONORS
- 4 Edward A. Flinn III Award
- 5 "Coming together is a beginning. Keeping together is progress. Working together is success." Henry Ford
- 6 The Hollin Hill Landslide Observatory A long-standing research site for understanding landslide processes
- 7 Geophysical characterization of the Hollin Hill Landslide Observatory Importance of estimating elastic parameters
- 8 Long-term geoelectrical monitoring of Hollin Hill Translating models of electrical resistivities into moisture content
- 9 Long-term geoelectrical monitoring of Hollin Hill Imaging hydrological processes that control landslide behavior
- 10 Nested sensing for slope stability assessment and early warning Utilize and integrate recent advances in various fields
- 11 Distributed sensor network to assess landslide probability over time Using geophysics, drilling, and remote sensing to assess the landslide hazard
- 12 Monitoring landslide reactivation in response to Winter storm event Moisture infiltration causes reactivation
- 13 Berkeley Lab - A unique playground for developing sensing technology Distributed wireless sensor network
- 14 Low-cost, low-powered distributed sensor network Adaptive, long-term monitoring using in-house sensor developments
- 15 Machine Learning to predict critical parameters Essential for LEWS and adaptive sensing strategies
- 16 A Step Closer Towards Predictive Understanding? Combining multiple methods and scales
- 17 Network architecture and data visualization Using open-source packages