Kate E Allstadt, Ph.D.
Kate Allstadt joined the team at the USGS Geologic Hazards Science Center in Golden, CO in June 2015.
Kate uses multidisciplinary applications of seismic and geophysical techniques to study landslide, earthquake, and volcano hazards. She currently focuses on earthquake-triggered ground failure, near-real-time earthquake impacts, seismic monitoring of debris flows and lahars, and studies of massive rapid landslides using seismic methods and numerical modeling.
Kate cofounded the ongoing GeoGirls at Mount St. Helens field camp designed to keep middle school girls interested in science through hands-on field experiences and interactions with strong science role models.
Research Interests
Multidisciplinary Applications of Seismology, Hazard and Disaster mitigation, Seismically Induced Landslides, Landslide Seismology, Earthquake and Volcano monitoring, Real-time products, Engineering seismology and Site Effects
Professional Experience
2015 – present: Research Geophysicist, USGS Geologic Hazards Science Center, Golden CO
2014 – 2015: National Science Foundation Postdoctoral Fellow at USGS Cascades Volcano Observatory: Toward early detection and tracking of mass movements at volcanoes using seismic methods.
2013 – 2014: Postdoctoral Researcher, University of Washington: M9 Cascadia megaquakes: reducing risk through science, engineering, and planning.
2009 – 2013: Duty Seismologist for Pacific Northwest Seismic Network and Research Assistant & Teaching Assistant, University of Washington
Education and Certifications
2009 – 2013: University of Washington, PhD, Seismology/Geophysics
2008 – 2009: Université Joseph Fourier, Grenoble, France and ROSE School, Pavia, Italy, M.S., Engineering Seismology
2003 - 2008: Northeastern University, B.S., Environmental Geology
Science and Products
Filter Total Items: 25
Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake
These data present geolocated photographs, GPS tracks, and field-mapped ground failures collected during the USGS reconnaissance of ground failures following the 2018 M7.1 Anchorage Earthquake.
Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake
This data release provides the locations of 43 landslides that occurred during the 2018 Anchorage, Alaska earthquake mapped from high-resolution lidar (1-m). Lidar data can be accessed via the Alaska Division of Geological and Geophysical Surveys elevation portal (https://elevation.alaska.gov). Each landslide is represented as a point corresponding to the approximate location of the mid...
gfail_lifelines gfail_lifelines
gfail_lifelines is a package for estimating lifeline impacts caused by earthquake-triggered ground failure. It currently contains one module, gfroads, that combines the USGS earthquake-triggered landslide model (the Nowicki Jessee et al. 2017 model) estimates of areal coverage with Open Street Map roads to estimate the probability of a given road segment being affected.
Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence
This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to...
Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence
Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more...
Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event
On 9 January 2018, intense rain above Montecito, California triggered a series of debris flows from steep catchments in the Santa Ynez Mountains. These catchments were burned three weeks earlier by the 1140 km2 Thomas Fire. After exiting the mountain front, the debris flows traveled over 3 km down a series of alluvial fans, killing 23 people and damaging over 400 homes. To understand the...
Estimated peak geoelectric field strengths during a Carrington-class magnetic storm Estimated peak geoelectric field strengths during a Carrington-class magnetic storm
This dataset presents modeled estimates of peak one-minute-resolution geoelectric-field strengths at 1,616 survey sites across the contiguous United States during a hypothetical Carrington-class magnetic storm. The values are derived using magnetometer time series and magnetotelluric impedance tensors. Each entry includes a most-likely value and a 68% confidence interval.
groundfailure groundfailure
This software is for calculating earthquake-induced ground failure hazard (i.e., landslide and liquefaction). These models are intended for regional or global scale applications, and are intended to be distributed in near-real-time, triggered by the Shakemaps.
Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017 Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017
This data release is a compilation of known landslides, debris flows, lahars, and outburst floods that generated seismic signals observable on existing seismic networks. The data release includes basic information about each event such as location, volume, area, and runout distances as well as information about seismic detections and the location of seismic data, photos, maps, GIS files...
An Open Repository of Earthquake-Triggered Ground-Failure Inventories An Open Repository of Earthquake-Triggered Ground-Failure Inventories
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking...
landslides-mLS landslides-mLS
mLS is a function that estimates the landslide magnitude (mLS) from cutoff (smallest area that follows power law), beta (power-law exponent), and an array of areas derived from a landslide inventory following the methods of Tanyas and others (in prep). The function plots the best power-law fit for the medium and large landslides and the frequency-area distribution of the analyzed...
landslides-metadata landslides-metadata
Automate production of metadata following the USGS geospatial metadata format.
Filter Total Items: 51
Ground failure triggered by the 7 January 2020 M6.4 Puerto Rico earthquake Ground failure triggered by the 7 January 2020 M6.4 Puerto Rico earthquake
The 7 January 2020 M 6.4 Puerto Rico earthquake, the mainshock of an extended earthquake sequence, triggered significant ground failure. In this study, we detail the ground failure that occurred based largely on a postearthquake field reconnaissance campaign that we conducted. We documented more than 300 landslides, mainly rock falls that were concentrated in areas where peak ground...
Authors
Kate Allstadt, Eric Thompson, Desiree Bayouth Garcia, Edwin Irizarry Brugman, K. Hughes, Robert Schmitt
Landslides triggered by the August 14, 2021, magnitude 7.2 Nippes, Haiti, earthquake Landslides triggered by the August 14, 2021, magnitude 7.2 Nippes, Haiti, earthquake
The August 14, 2021, magnitude 7.2 Nippes, Haiti, earthquake triggered thousands of landslides on the Tiburon Peninsula. The landslides directly caused fatalities and damage and impeded response efforts by blocking roads and causing other infrastructure damage. Adverse effects of the landslides likely will continue for months to years. This report presents an assessment of potential...
Authors
Sabrina Martinez, Kate Allstadt, Stephen Slaughter, Robert Schmitt, Elaine Collins, Lauren Schaefer, Sonia Ellison
The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction
Since late 2018, the US Geological Survey (USGS) ground failure (GF) earthquake product has provided publicly available spatial estimates of earthquake-triggered landslide and liquefaction hazards, along with the qualitative hazard and population exposure-based alerts for M > 6 earthquakes worldwide and in near real time (within ∼30 min). Earthquake losses are oftentimes greatly...
Authors
Kate Allstadt, Eric Thompson, Randall W. Jibson, David Wald, Mike Hearne, Edward Hunter, Jeremy Fee, Heather Schovanec, Daniel Slosky, Kirstie Haynie
Evaluation of remote mapping techniques for earthquake-triggered landslide inventories in an urban subarctic environment: A case study of the 2018 Anchorage, Alaska Earthquake Evaluation of remote mapping techniques for earthquake-triggered landslide inventories in an urban subarctic environment: A case study of the 2018 Anchorage, Alaska Earthquake
Earthquake-induced landslide inventories can be generated using field observations but doing so can be challenging if the affected landscape is large or inaccessible after an earthquake. Remote sensing data can be used to help overcome these limitations. The effectiveness of remotely sensed data to produce landslide inventories, however, is dependent on a variety of factors, such as the...
Authors
Sabrina Martinez, Lauren Schaefer, Kate Allstadt, Eric Thompson
A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides
Coseismic landslides are a major source of transportation disruption in mountainous areas, but few approaches exist for rapidly estimating impacts to road networks. We develop a model that links the U.S. Geological Survey (USGS) near-real-time earthquake-triggered landslide hazard model with Open Street Map (OSM) road network data to rapidly estimate segment-level obstruction risk...
Authors
B.H. Wilson, Kate Allstadt, Eric Thompson
lsforce: A Python-based single-force seismic inversion framework for massive landslides lsforce: A Python-based single-force seismic inversion framework for massive landslides
We present an open‐source Python package, lsforce, for performing single‐force source inversions of long‐period (tens to hundreds of seconds) seismic signals. Although the software is designed primarily for landslides, it can be used for any single‐force seismic source. The package allows users to produce estimates of the three‐component time series of forces exerted on the Earth by a...
Authors
Liam Toney, Kate Allstadt
Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data
Surficial mass wasting events are a hazard worldwide. Seismic and acoustic signals from these often remote processes, combined with other geophysical observations, can provide key information for monitoring and rapid response efforts and enhance our understanding of event dynamics. Here, we present seismoacoustic data and analyses for two very large ice–rock avalanches occurring on...
Authors
Liam Toney, David Fee, Kate Allstadt, Matthew Haney, Robin Matoza
Using high sample rate lidar to measure debris-flow velocity and surface geometry Using high sample rate lidar to measure debris-flow velocity and surface geometry
Debris flows evolve in both time and space in complex ways, commonly starting as coherent failures but then quickly developing structures such as roll waves and surges. These processes are readily observed but difficult to study or quantify because of the speed at which they evolve. Many methods for studying debris flows consist of point measurements (e.g., flow height or basal stresses)...
Authors
Francis Rengers, Thomas Rapstine, Michael Olsen, Kate Allstadt, Richard Iverson, Ben Leshchinsky, Maciej Obryk, Joel B. Smith
Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions
We present a novel method for measuring the fluctuating basal normal and shear stresses of debris flows by using along‐channel seismic recordings. Our method couples a simple parameterization of a debris flow as a seismic source with direct measurements of seismic path effects using empirical Green's functions generated with a force hammer. We test this method using two large‐scale (8...
Authors
Kate Allstadt, Maxime Farin, Richard Iverson, Maciej Obryk, Jason Kean, Victor Tsai, Thomas Rapstine, Matthew Logan
Reconstructing the velocity and deformation of a rapid landslide using multiview video Reconstructing the velocity and deformation of a rapid landslide using multiview video
Noncontact measurements of spatially varied ground surface deformation during landslide motion can provide important constraints on landslide mechanics. Here, we present and test a new method for extracting measurements of rapid landslide surface displacement and velocity (accelerations of approximately 1 m/s2) using sequences of stereo images obtained from a pair of inexpensive...
Authors
Thomas Rapstine, Francis Rengers, Kate Allstadt, Richard Iverson, Joel Smith, Maciej Obryk, M. Logan, M. Olsen
Ground failure triggered by shaking during the November 30, 2018, magnitude 7.1 Anchorage, Alaska, earthquake Ground failure triggered by shaking during the November 30, 2018, magnitude 7.1 Anchorage, Alaska, earthquake
We developed an initial inventory of ground failure features from the November 30, 2018, magnitude 7.1 Anchorage earthquake. This inventory of 153 features is from ground-based observations soon after the earthquake (December 5–10) that include the presence or absence of liquefaction, landslides, and individual crack traces of lateral spreads and incipient landslides. This is not a...
Authors
Alex Grant, Randall Jibson, Robert C. Witter, Kate Allstadt, Eric Thompson, Adrian Bender
Observations on the May 2019 Joffre Peak landslides, British Columbia Observations on the May 2019 Joffre Peak landslides, British Columbia
Two catastrophic landslides occurred in quick succession on 13 and 16 May 2019, from the north face of Joffre Peak, Cerise Creek, southern Coast Mountains, British Columbia. With headscarps at 2560 m and 2690 m elevation, both began as rock avalanches, rapidly transforming into debris flows along middle Cerise Creek, and finally into debris floods affecting the fan. Beyond the fan margin...
Authors
Pierre Friele, Tom Millard, Andrew Mitchell, Kate Allstadt, Brian Menounos, Marten Geertsema, John Clague
Non-USGS Publications**
Coe, J.A., Baum, R. L., Allstadt, K.E., Kochevar, B.F., Schmitt, R.G., Morgan, M.L., White, J.L., Stratton, B.T., Hayashi, T.A., Kean, J.W., 2016, Rock-avalanche dynamics revealed by large-scale field mapping and seismic signals at a highly mobile avalanche in the West Salt Creek valley, western Colorado, Geosphere, 12, 25p., doi:10.1130/GES01265.1
Allstadt, K. E., Shean, D. E., Campbell, A., Fahnestock, M., and Malone, S. D., 2015, Observations of seasonal and diurnal glacier velocities at Mount Rainier, Washington, using terrestrial radar interferometry, The Cryosphere, 9, 2219-2235, doi:10.5194/tc-9-2219-2015.
Moretti, L, Allstadt, K., Mangeney, A., Capdeville, Y., Stutzmann, E. and Bouchut, F., 2015, Numerical modeling of the Mount Meager landslide constrained by its force history derived from seismic data, J. Geophs. Res., 120, 2578-2599, doi: 10.1002/2014JB011426
Allstadt, K., and Malone, S.M., 2014, Swarms of repeating stick-slip icequakes triggered by snow loading at Mount Rainier volcano, J. Geophys. Res. Earth Surf. 119, doi: 10.1002/2014JF003086
Allstadt, K., 2013, Surficial Seismology: Landslides, Glaciers and Volcanoes in the Pacific Northwest through a Seismic Lens, Ph.D. Thesis, University of Washington.
Allstadt, K., Vidale, J.E., and Frankel, A., 2013, A scenario study of seismically induced landsliding in Seattle using broadband synthetic seismograms, Bull. Seism. Soc. Am., 103(6), 2971-2992.
Allstadt, K., 2013, Extracting Source Characteristics and Dynamics of the August 2010 Mount Meager Landslide from Broadband Seismograms, J. Geophys. Res. Earth Surface, 118(3), 1472-1490.
Guthrie, R.H., Friele, P., Allstadt, K., Roberts, N., Evans, S.G., Delaney, K.B., Roche, D., Clague, J.J., and Jakob, M., 2012, The 6 August 2010 Mount Meager rock slide-debris flow, Coast Mountains, British Columbia: characteristics, dynamics, and implications for hazard and risk assessment: Nat.Haz. Earth. Syst. Sci., 12, 1277-1294.
Allstadt, K., 2009, Study of Site Effects in Landslides using Weak Ground Motion, Avignonet and Séchilienne Landslides, French Alps, M.S. Thesis, Université Joseph Fourier and ROSE School. 87p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 25
Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake
These data present geolocated photographs, GPS tracks, and field-mapped ground failures collected during the USGS reconnaissance of ground failures following the 2018 M7.1 Anchorage Earthquake.
Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake
This data release provides the locations of 43 landslides that occurred during the 2018 Anchorage, Alaska earthquake mapped from high-resolution lidar (1-m). Lidar data can be accessed via the Alaska Division of Geological and Geophysical Surveys elevation portal (https://elevation.alaska.gov). Each landslide is represented as a point corresponding to the approximate location of the mid...
gfail_lifelines gfail_lifelines
gfail_lifelines is a package for estimating lifeline impacts caused by earthquake-triggered ground failure. It currently contains one module, gfroads, that combines the USGS earthquake-triggered landslide model (the Nowicki Jessee et al. 2017 model) estimates of areal coverage with Open Street Map roads to estimate the probability of a given road segment being affected.
Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence
This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to...
Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence
Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more...
Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event Debris-flow inundation and damage data from the 9 January 2018 Montecito Debris-Flow Event
On 9 January 2018, intense rain above Montecito, California triggered a series of debris flows from steep catchments in the Santa Ynez Mountains. These catchments were burned three weeks earlier by the 1140 km2 Thomas Fire. After exiting the mountain front, the debris flows traveled over 3 km down a series of alluvial fans, killing 23 people and damaging over 400 homes. To understand the...
Estimated peak geoelectric field strengths during a Carrington-class magnetic storm Estimated peak geoelectric field strengths during a Carrington-class magnetic storm
This dataset presents modeled estimates of peak one-minute-resolution geoelectric-field strengths at 1,616 survey sites across the contiguous United States during a hypothetical Carrington-class magnetic storm. The values are derived using magnetometer time series and magnetotelluric impedance tensors. Each entry includes a most-likely value and a 68% confidence interval.
groundfailure groundfailure
This software is for calculating earthquake-induced ground failure hazard (i.e., landslide and liquefaction). These models are intended for regional or global scale applications, and are intended to be distributed in near-real-time, triggered by the Shakemaps.
Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017 Seismogenic Landslides, Debris Flows, and Outburst Floods in the Western United States and Canada from 1977 to 2017
This data release is a compilation of known landslides, debris flows, lahars, and outburst floods that generated seismic signals observable on existing seismic networks. The data release includes basic information about each event such as location, volume, area, and runout distances as well as information about seismic detections and the location of seismic data, photos, maps, GIS files...
An Open Repository of Earthquake-Triggered Ground-Failure Inventories An Open Repository of Earthquake-Triggered Ground-Failure Inventories
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking...
landslides-mLS landslides-mLS
mLS is a function that estimates the landslide magnitude (mLS) from cutoff (smallest area that follows power law), beta (power-law exponent), and an array of areas derived from a landslide inventory following the methods of Tanyas and others (in prep). The function plots the best power-law fit for the medium and large landslides and the frequency-area distribution of the analyzed...
landslides-metadata landslides-metadata
Automate production of metadata following the USGS geospatial metadata format.
Filter Total Items: 51
Ground failure triggered by the 7 January 2020 M6.4 Puerto Rico earthquake Ground failure triggered by the 7 January 2020 M6.4 Puerto Rico earthquake
The 7 January 2020 M 6.4 Puerto Rico earthquake, the mainshock of an extended earthquake sequence, triggered significant ground failure. In this study, we detail the ground failure that occurred based largely on a postearthquake field reconnaissance campaign that we conducted. We documented more than 300 landslides, mainly rock falls that were concentrated in areas where peak ground...
Authors
Kate Allstadt, Eric Thompson, Desiree Bayouth Garcia, Edwin Irizarry Brugman, K. Hughes, Robert Schmitt
Landslides triggered by the August 14, 2021, magnitude 7.2 Nippes, Haiti, earthquake Landslides triggered by the August 14, 2021, magnitude 7.2 Nippes, Haiti, earthquake
The August 14, 2021, magnitude 7.2 Nippes, Haiti, earthquake triggered thousands of landslides on the Tiburon Peninsula. The landslides directly caused fatalities and damage and impeded response efforts by blocking roads and causing other infrastructure damage. Adverse effects of the landslides likely will continue for months to years. This report presents an assessment of potential...
Authors
Sabrina Martinez, Kate Allstadt, Stephen Slaughter, Robert Schmitt, Elaine Collins, Lauren Schaefer, Sonia Ellison
The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction
Since late 2018, the US Geological Survey (USGS) ground failure (GF) earthquake product has provided publicly available spatial estimates of earthquake-triggered landslide and liquefaction hazards, along with the qualitative hazard and population exposure-based alerts for M > 6 earthquakes worldwide and in near real time (within ∼30 min). Earthquake losses are oftentimes greatly...
Authors
Kate Allstadt, Eric Thompson, Randall W. Jibson, David Wald, Mike Hearne, Edward Hunter, Jeremy Fee, Heather Schovanec, Daniel Slosky, Kirstie Haynie
Evaluation of remote mapping techniques for earthquake-triggered landslide inventories in an urban subarctic environment: A case study of the 2018 Anchorage, Alaska Earthquake Evaluation of remote mapping techniques for earthquake-triggered landslide inventories in an urban subarctic environment: A case study of the 2018 Anchorage, Alaska Earthquake
Earthquake-induced landslide inventories can be generated using field observations but doing so can be challenging if the affected landscape is large or inaccessible after an earthquake. Remote sensing data can be used to help overcome these limitations. The effectiveness of remotely sensed data to produce landslide inventories, however, is dependent on a variety of factors, such as the...
Authors
Sabrina Martinez, Lauren Schaefer, Kate Allstadt, Eric Thompson
A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides
Coseismic landslides are a major source of transportation disruption in mountainous areas, but few approaches exist for rapidly estimating impacts to road networks. We develop a model that links the U.S. Geological Survey (USGS) near-real-time earthquake-triggered landslide hazard model with Open Street Map (OSM) road network data to rapidly estimate segment-level obstruction risk...
Authors
B.H. Wilson, Kate Allstadt, Eric Thompson
lsforce: A Python-based single-force seismic inversion framework for massive landslides lsforce: A Python-based single-force seismic inversion framework for massive landslides
We present an open‐source Python package, lsforce, for performing single‐force source inversions of long‐period (tens to hundreds of seconds) seismic signals. Although the software is designed primarily for landslides, it can be used for any single‐force seismic source. The package allows users to produce estimates of the three‐component time series of forces exerted on the Earth by a...
Authors
Liam Toney, Kate Allstadt
Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano, Alaska ice–rock avalanches from seismoacoustic data
Surficial mass wasting events are a hazard worldwide. Seismic and acoustic signals from these often remote processes, combined with other geophysical observations, can provide key information for monitoring and rapid response efforts and enhance our understanding of event dynamics. Here, we present seismoacoustic data and analyses for two very large ice–rock avalanches occurring on...
Authors
Liam Toney, David Fee, Kate Allstadt, Matthew Haney, Robin Matoza
Using high sample rate lidar to measure debris-flow velocity and surface geometry Using high sample rate lidar to measure debris-flow velocity and surface geometry
Debris flows evolve in both time and space in complex ways, commonly starting as coherent failures but then quickly developing structures such as roll waves and surges. These processes are readily observed but difficult to study or quantify because of the speed at which they evolve. Many methods for studying debris flows consist of point measurements (e.g., flow height or basal stresses)...
Authors
Francis Rengers, Thomas Rapstine, Michael Olsen, Kate Allstadt, Richard Iverson, Ben Leshchinsky, Maciej Obryk, Joel B. Smith
Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions Measuring basal force fluctuations of debris flows using seismic recordings and empirical green's functions
We present a novel method for measuring the fluctuating basal normal and shear stresses of debris flows by using along‐channel seismic recordings. Our method couples a simple parameterization of a debris flow as a seismic source with direct measurements of seismic path effects using empirical Green's functions generated with a force hammer. We test this method using two large‐scale (8...
Authors
Kate Allstadt, Maxime Farin, Richard Iverson, Maciej Obryk, Jason Kean, Victor Tsai, Thomas Rapstine, Matthew Logan
Reconstructing the velocity and deformation of a rapid landslide using multiview video Reconstructing the velocity and deformation of a rapid landslide using multiview video
Noncontact measurements of spatially varied ground surface deformation during landslide motion can provide important constraints on landslide mechanics. Here, we present and test a new method for extracting measurements of rapid landslide surface displacement and velocity (accelerations of approximately 1 m/s2) using sequences of stereo images obtained from a pair of inexpensive...
Authors
Thomas Rapstine, Francis Rengers, Kate Allstadt, Richard Iverson, Joel Smith, Maciej Obryk, M. Logan, M. Olsen
Ground failure triggered by shaking during the November 30, 2018, magnitude 7.1 Anchorage, Alaska, earthquake Ground failure triggered by shaking during the November 30, 2018, magnitude 7.1 Anchorage, Alaska, earthquake
We developed an initial inventory of ground failure features from the November 30, 2018, magnitude 7.1 Anchorage earthquake. This inventory of 153 features is from ground-based observations soon after the earthquake (December 5–10) that include the presence or absence of liquefaction, landslides, and individual crack traces of lateral spreads and incipient landslides. This is not a...
Authors
Alex Grant, Randall Jibson, Robert C. Witter, Kate Allstadt, Eric Thompson, Adrian Bender
Observations on the May 2019 Joffre Peak landslides, British Columbia Observations on the May 2019 Joffre Peak landslides, British Columbia
Two catastrophic landslides occurred in quick succession on 13 and 16 May 2019, from the north face of Joffre Peak, Cerise Creek, southern Coast Mountains, British Columbia. With headscarps at 2560 m and 2690 m elevation, both began as rock avalanches, rapidly transforming into debris flows along middle Cerise Creek, and finally into debris floods affecting the fan. Beyond the fan margin...
Authors
Pierre Friele, Tom Millard, Andrew Mitchell, Kate Allstadt, Brian Menounos, Marten Geertsema, John Clague
Non-USGS Publications**
Coe, J.A., Baum, R. L., Allstadt, K.E., Kochevar, B.F., Schmitt, R.G., Morgan, M.L., White, J.L., Stratton, B.T., Hayashi, T.A., Kean, J.W., 2016, Rock-avalanche dynamics revealed by large-scale field mapping and seismic signals at a highly mobile avalanche in the West Salt Creek valley, western Colorado, Geosphere, 12, 25p., doi:10.1130/GES01265.1
Allstadt, K. E., Shean, D. E., Campbell, A., Fahnestock, M., and Malone, S. D., 2015, Observations of seasonal and diurnal glacier velocities at Mount Rainier, Washington, using terrestrial radar interferometry, The Cryosphere, 9, 2219-2235, doi:10.5194/tc-9-2219-2015.
Moretti, L, Allstadt, K., Mangeney, A., Capdeville, Y., Stutzmann, E. and Bouchut, F., 2015, Numerical modeling of the Mount Meager landslide constrained by its force history derived from seismic data, J. Geophs. Res., 120, 2578-2599, doi: 10.1002/2014JB011426
Allstadt, K., and Malone, S.M., 2014, Swarms of repeating stick-slip icequakes triggered by snow loading at Mount Rainier volcano, J. Geophys. Res. Earth Surf. 119, doi: 10.1002/2014JF003086
Allstadt, K., 2013, Surficial Seismology: Landslides, Glaciers and Volcanoes in the Pacific Northwest through a Seismic Lens, Ph.D. Thesis, University of Washington.
Allstadt, K., Vidale, J.E., and Frankel, A., 2013, A scenario study of seismically induced landsliding in Seattle using broadband synthetic seismograms, Bull. Seism. Soc. Am., 103(6), 2971-2992.
Allstadt, K., 2013, Extracting Source Characteristics and Dynamics of the August 2010 Mount Meager Landslide from Broadband Seismograms, J. Geophys. Res. Earth Surface, 118(3), 1472-1490.
Guthrie, R.H., Friele, P., Allstadt, K., Roberts, N., Evans, S.G., Delaney, K.B., Roche, D., Clague, J.J., and Jakob, M., 2012, The 6 August 2010 Mount Meager rock slide-debris flow, Coast Mountains, British Columbia: characteristics, dynamics, and implications for hazard and risk assessment: Nat.Haz. Earth. Syst. Sci., 12, 1277-1294.
Allstadt, K., 2009, Study of Site Effects in Landslides using Weak Ground Motion, Avignonet and Séchilienne Landslides, French Alps, M.S. Thesis, Université Joseph Fourier and ROSE School. 87p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.