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
Kate E Allstadt, Ph.D.
Biography
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
Education
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
Research and Professional Experience
2015 – present: Research Geophysicst, 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
Science and Products
Date published: July 29, 2020
Status: Active Landslides Triggered by the 2020 Puerto Rico Earthquake Sequence
A magnitude 6.4 earthquake occurred near Barrio Indios, Guayanilla, Puerto Rico on January 7, 2020. A study of the triggered landslides is ongoing.
Contacts: Kate E Allstadt, Ph.D.
Attribution: Natural Hazards, Landslide Hazards Program
Date published: September 25, 2019
Status: Active Global Earthquake-Triggered Ground Failure Inventory Database
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.
Contacts: Kate E Allstadt, Ph.D.
Attribution: Natural Hazards, Landslide Hazards Program
Date published: June 28, 2018
Status: Active Preliminary Analysis of Satellite Imagery and Seismic Observations of the Nuugaatsiaq Landslide and Tsunami, Greenland
Disclaimer
This information is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely science to assess ongoing hazards. The information has not received final approval by the U.S. Geological Survey (USGS) and is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages...
Date published: June 25, 2018
Status: Completed Near Realtime Maps of Possible Earthquake-Triggered Landslides
Release Date: JUNE 25, 2018
USGS scientists have been developing a system to quickly identify areas where landslides may have been triggered by a significant earthquake.
Contacts: Kate E Allstadt, Ph.D., Lisa A Wald
Attribution: Natural Hazards, Landslide Hazards Program
Date published: April 1, 2018
Status: Active An Interactive Web-based Application for Earthquake-triggered Ground Failure Inventories
Inventories of landslides and liquefaction triggered by major earthquakes are key research tools that can be used to develop and test hazard models. To eliminate redundant effort, we created a centralized and interactive repository of ground failure inventories that currently hosts 32 inventories generated by USGS and non-USGS authors and designed a pipeline for adding more as they become...
Attribution: Community for Data Integration (CDI)
Date published: May 25, 2016
Status: Completed Reconstruction of an Avalanche: The West Salt Creek Rock Avalanche
Release Date: MAY 25, 2016
The West Salt Creek Rock Avalanche, Colorado, May 25, 2014
Year Published: 2021
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...
Martinez, Sabrina Nicole; Schaefer, Lauren Nicole; Allstadt, Kate; Thompson, Eric M.
Year Published: 2021
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...
Wilson, B.H.; Allstadt, Kate; Thompson, Eric M.
Year Published: 2021
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...
Toney, Liam De La Hunt; Allstadt, Kate
Year Published: 2021
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...
Toney, Liam De La Hunt; Fee, David; Allstadt, Kate; Haney, Matthew M.; Matoza, Robin S.
Year Published: 2021
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...
Rengers, Francis K.; Rapstine, Thomas D; Olsen, Michael; Allstadt, Kate; Iverson, Richard M.; Leshchinsky, Ben; Obryk, Maciej; Smith, Joel B.
Year Published: 2020
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...
Allstadt, Kate; Farin, Maxime; Iverson, Richard M.; Obryk, Maciej; Kean, Jason W.; Tsai, Victor C.; Rapstine, Thomas D; Logan, Matthew
Year Published: 2020
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...
Rapstine, Thomas D; Rengers, Francis K.; Allstadt, Kate; Iverson, Richard M.; Smith, Joel B.; Obryk, Maciej; Logan, M.; Olsen, M. J.
Year Published: 2020
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...
Grant, Alex R. R. ; Jibson, Randall W.; Witter, Robert C.; Allstadt, Kate E.; Thompson, Eric M.; Bender, Adrian M.Attribution: Alaska Science Center, Earthquake Science Center, Natural Hazards, Earthquake Hazards Program, Region 11: Alaska
View Citation
Grant, A.R.R., Jibson, R.W., Witter, R.C., Allstadt, K.E., Thompson, E.M., and Bender, A.M., 2020, Ground failure triggered by shaking during the November 30, 2018, magnitude 7.1 Anchorage, Alaska, earthquake: U.S. Geological Survey Open-File Report 2020–1043, 21 p., https://doi.org/10.3133/ofr20201043.
Year Published: 2020
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...
Friele, Pierre; Millard, Tom; Mitchell, Andrew; Allstadt, Kate; Menounos, Brian; Geertsema, Marten; Clague, John J.
Year Published: 2020
USGS near-real-time products-and their use-for the 2018 Anchorage earthquake
In the minutes to hours after a major earthquake, such as the recent 2018 Mw">Mw 7.1 Anchorage event, the U.S. Geological Survey (USGS) produces a suite of interconnected earthquake products that provides diverse information ranging from basic earthquake source parameters to loss estimates. The 2018 Anchorage earthquake is the first...
Thompson, Eric M.; McBride, Sara; Hayes, Gavin P.; Allstadt, Kate; Wald, Lisa; Wald, David J.; Knudsen, Keith L.; Worden, Charles; Marano, Kristin; Jibson, Randall W.; Grant, Alex R. R.
Year Published: 2019
Ground failure from the Anchorage, Alaska, earthquake of 30 November 2018
Investigation of ground failure triggered by the 2018 Mw">MwMw 7.1 Anchorage earthquake showed that landslides, liquefaction, and ground cracking all occurred and caused significant damage. Shallow rock falls and rock slides were the most abundant types of landslides, but they occurred in smaller numbers than global models that are...
Jibson, Randall W.; Grant, Alex R. R. ; Witter, Robert C.; Allstadt, Kate; Thompson, Eric M.; Bender, Adrian
Year Published: 2019
Real-time monitoring of debris-flow velocity and mass deformation from field experiments with high sample rate lidar and video
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. This process is readily observed, but difficult to study or quantify because of the speed at which it occurs. Many methods for studying debris flows consist of point measurements (...
Rengers, Francis K.; Rapstine, Thomas; Allstadt, Kate E.; Olsen, Michael; Bunn, Michael; Iverson, Richard M.; Kean, Jason W.; Leshchinsky, Ben; Logan, Matthew; Sharifi-Mood, Mahyar; Obryk, Maciej; Smith, Joel B.Pre-USGS Publications
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.
Date published: January 16, 2021
lsforce
lsforce is a Python-based single-force seismic inversion framework for massive landslides.
Date published: August 4, 2016
GeoGirls Dig Geology at Mount St. Helens
MEDIA ADVISORY
Twenty middle-school girls from Washington and Oregon are participating in the second annual “GeoGirls” outdoor volcano science program at Mount St. Helens, jointly organized by the U.S. Geological Survey and the Mount St. Helens Institute.
Date published: July 30, 2015
Media Advisory: GeoGirls Dig Geology at Mount St. Helens
Twenty middle school girls from Washington and Oregon are participating in “GeoGirls,” an outdoor program jointly organized by the U.S. Geological Survey and the Mount St. Helens Institute.