Ben Mirus
As a Research Geologist in the Geologic Hazards Science Center, my work focuses broadly on rainfall-triggered landslides. As a Project Chief within the Landslide Hazards Program, I oversee a talented team of geoscientists developing tools to reduce landslide-related losses and working to advance our understanding of this damaging and deadly hazard.
My interest in science that services society combined with a passion for the outdoors led me into a career with the USGS, where I have worked on a variety of big problems. As a student intern and postdoc in California, my earliest projects used soil physics to model radio-nuclide transport in groundwater, while my current position in Colorado focuses on limiting economic losses and fatalities related to landslides. I have worked across the U.S. from the deserts of southern Nevada to the lush forests of southeast Alaska and western North Carolina studying how water moves through soil and rock, and how that ultimately influences natural resources and the built environment. I work with data at various scales, from detailed hydrologic monitoring on individual hill slopes to managing our national landslide hazards database. I conduct fieldwork and respond to landslide disasters, while also using geographic information systems and mathematical models to quantify landslide susceptibility and initiation thresholds. My research advances methods used to forecast rainfall-triggered landslides through improved quantitative understanding of hillslope hydrological processes. I am also developing novel approaches for mapping where people and critical infrastructure are exposed to different types of landslides and hence pose the greatest threat to society.
Professional Experience
2015-present: Research Geologist, Landslides Hazards Program, USGS, Golden, CO
2013-2014: Assistant Professor, Department of Geological Sciences, University of North Carolina, Chapel Hill, NC
2010-2013: Hydrologist, National Research Program, USGS, Menlo Park, CA
2005-2009: Physical Scientist, National Research Program, USGS, Menlo Park, CA
Education and Certifications
2009 - Ph.D., Hydrogeology, Stanford University, Stanford, CA
2001 - B.A., Geology, Pomona College, Claremont, CA
Affiliations and Memberships*
2025-present: Member, USGS Council of Senior Science Advisors (COSSA)
2020-present: Executive Committee, LandAware Network
2002-present: Member, American Geophysical Union (AGU)
2001-present : Member, Geological Society of America (GSA)
Honors and Awards
2025: Presidential Early Career Award for Scientists and Engineers (PECASE)
2023-present: Editor, Landslides Journal
2022-2023: Visiting Fellow, Swiss Federal Institute for Forest, Snow, and Land Research (WSL)
2018-present: Affiliate Faculty, Department of Geology and Geologic Engineering, Colorado School of Mines
2018: AGU Editors’ Citation for Excellence in Refereeing, Geophysical Research Letters
2002-2007: Stanford Graduate Fellowship, Stanford University
2001: Phi Beta Kappa
2001: Richard Strehle Memorial Award, Pomona College (outstanding field geologist)
Science and Products
National Landslide Hazards Maps (NLHM)
Landslide Mechanisms and Forecasting
Seattle, Washington Landslide Monitoring Site
Sitka, AK
Seattle Area, Washington
Portland, Oregon
Knife Ridge, Elliott State Forest, Oregon
Poplar Cove, Nantahala National Forest, North Carolina
Mooney Gap, Coweeta Experimental Forest, North Carolina
Bent Creek Experimental Forest, North Carolina
Landslides Can Cause More Landslides
Integrating Disparate Spatial Datasets from Local to National Scale for Open-Access Web-Based Visualization and Analysis: A Case Study Compiling U.S. Landslide Inventories
News-reported landslide impacts in Southeast Alaska, 1990-2024
Preliminary Landslide Hazard Estimate Maps for the 2024 Hurricane Helene Landslide Emergency Response
Landslide Inventories across the United States (ver. 3.0, February 2025)
Morphometric Landslide Susceptibility Results of the Northwestern United States and Southwestern Canada Derived from Elevation Data
Slope-Relief Threshold Landslide Susceptibility Models for the United States and Puerto Rico
Hydrologic monitoring data in steep, landslide-prone terrain, Sitka, Alaska, USA
Landslide Inventories across the United States (ver. 2.0, June 2022)
Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018
Soil moisture monitoring following the 2009 Station Fire, California, USA, 2016-2019
Hillslope hydrologic monitoring data following Hurricane Maria in 2017, Puerto Rico, July 2018 to June 2020
Time-lapse photography of an active coastal-bluff landslide, Mukilteo, Washington, August 2015 - May 2016
Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017
Utility of a swath laser rangefinder for characterizing mass movement flow depth and landslide initiation
Constraining landslide frequency across the United States to inform county-level risk reduction
Overcoming the data limitations in landslide susceptibility modelling
Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems
A benchmark dataset and workflow for landslide susceptibility zonation
Parsimonious high-resolution landslide susceptibility modeling at continental scales
RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale
Constraining mean landslide occurrence rates for non-temporal landslide inventories using high-resolution elevation data
Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path
Slope Unit Maker (SUMak): An efficient and parameter-free algorithm for delineating slope units to improve landslide modeling
Hydrologisch informierte Murgangmodellierung mit RAMMS Kann das Erosionsverhalten von Murgängen anhand der Sättigungsbedindungen vorhergesagt werden?
Landslide initiation thresholds in data-sparse regions: Application to landslide early warning criteria in Sitka, Alaska, USA
Non-USGS Publications**
**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.
U.S. Landslide Inventory and Susceptibility Map
Science and Products
National Landslide Hazards Maps (NLHM)
Landslide Mechanisms and Forecasting
Seattle, Washington Landslide Monitoring Site
Sitka, AK
Seattle Area, Washington
Portland, Oregon
Knife Ridge, Elliott State Forest, Oregon
Poplar Cove, Nantahala National Forest, North Carolina
Mooney Gap, Coweeta Experimental Forest, North Carolina
Bent Creek Experimental Forest, North Carolina
Landslides Can Cause More Landslides
Integrating Disparate Spatial Datasets from Local to National Scale for Open-Access Web-Based Visualization and Analysis: A Case Study Compiling U.S. Landslide Inventories
News-reported landslide impacts in Southeast Alaska, 1990-2024
Preliminary Landslide Hazard Estimate Maps for the 2024 Hurricane Helene Landslide Emergency Response
Landslide Inventories across the United States (ver. 3.0, February 2025)
Morphometric Landslide Susceptibility Results of the Northwestern United States and Southwestern Canada Derived from Elevation Data
Slope-Relief Threshold Landslide Susceptibility Models for the United States and Puerto Rico
Hydrologic monitoring data in steep, landslide-prone terrain, Sitka, Alaska, USA
Landslide Inventories across the United States (ver. 2.0, June 2022)
Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018
Soil moisture monitoring following the 2009 Station Fire, California, USA, 2016-2019
Hillslope hydrologic monitoring data following Hurricane Maria in 2017, Puerto Rico, July 2018 to June 2020
Time-lapse photography of an active coastal-bluff landslide, Mukilteo, Washington, August 2015 - May 2016
Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017
Utility of a swath laser rangefinder for characterizing mass movement flow depth and landslide initiation
Constraining landslide frequency across the United States to inform county-level risk reduction
Overcoming the data limitations in landslide susceptibility modelling
Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems
A benchmark dataset and workflow for landslide susceptibility zonation
Parsimonious high-resolution landslide susceptibility modeling at continental scales
RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale
Constraining mean landslide occurrence rates for non-temporal landslide inventories using high-resolution elevation data
Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path
Slope Unit Maker (SUMak): An efficient and parameter-free algorithm for delineating slope units to improve landslide modeling
Hydrologisch informierte Murgangmodellierung mit RAMMS Kann das Erosionsverhalten von Murgängen anhand der Sättigungsbedindungen vorhergesagt werden?
Landslide initiation thresholds in data-sparse regions: Application to landslide early warning criteria in Sitka, Alaska, USA
Non-USGS Publications**
**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.
U.S. Landslide Inventory and Susceptibility Map
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government