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Conference Papers

Browse almost 5,000 conference papers authored by our scientists and refine search by topic, location, year, and advanced search.

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Under-forecasting wet avalanche cycles: Case studies and lessons learned from two wet avalanche cycles in northwest Montana and central Colorado Under-forecasting wet avalanche cycles: Case studies and lessons learned from two wet avalanche cycles in northwest Montana and central Colorado

Predicting the timing and location of natural wet avalanche events is challenging, especially the release of wet slabs. In this study, we describe the existing snowpack structure, weather, and observed avalanche activity for two separate wet avalanche cycles in different avalanche climate types: northwest Montana and central Colorado. In both cases, the regional avalanche forecast...
Authors
Zachary Guy, Erich H. Peitzsch

Spatial extent of forested avalanche terrain impacted by wildfire across the Sawtooth National Forest Spatial extent of forested avalanche terrain impacted by wildfire across the Sawtooth National Forest

Forest structure is a major driver of mountain snowpacks and avalanche occurrence. Healthy forests can reduce the incidence of dangerous slab avalanches, slow avalanches when in motion, shorten their runout distances, and act as a safety buffer for backcountry users, infrastructure, and transportation corridors. Since 1984, wildfire area in the seasonal snow zone of the western United...
Authors
Zachary Miller, John Sykes, Megan Guinn, Benjamin VandenBos, Scott Savage, Erich H. Peitzsch

Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types

Large-magnitude snow avalanches pose a hazard to humans and infrastructure worldwide. Analyzing the spatiotemporal behavior of avalanches and the contributory climate factors is important for understanding historical variability in climate-avalanche relationships as well as improving avalanche forecasting. This study uses established dendrochronological methods to develop long-term...
Authors
Erich H. Peitzsch, Gregory T. Pederson, Justin T. Martin, Eran Hood, Ethan M. Greene, Karl W. Birkeland, Kelly Elder, Gabriel Wolken, Nickolas E. Kichas, Daniel Kent Stahle, John Harley

Using tree rings to compare Colorado’s 2019 avalanche cycle to previous large avalanche cycles Using tree rings to compare Colorado’s 2019 avalanche cycle to previous large avalanche cycles

Large magnitude avalanches (size ≥D3) impact settlements, transportation corridors, and public safety worldwide. In Colorado, United States, avalanches have killed more people than any other natural hazard since 1950. In March 2019, a historically large magnitude avalanche cycle occurred throughout the entire mountainous portion of Colorado resulting in more than 1000 reported avalanches...
Authors
Erich H. Peitzsch, Ethan M. Greene, Jason Konigsberg, Gregory T. Pederson, Justin T. Martin, Nickolas Kichas, Daniel Kent Stahle, Adrien Favillier, Nicolas Eckert, Karl W. Birkeland, Kelly Elder

Stable isotope constraints on the source of ore fluids for the Hicks Dome REE+Y-HFSE-fluorspar deposit Stable isotope constraints on the source of ore fluids for the Hicks Dome REE+Y-HFSE-fluorspar deposit

Hicks Dome is comprised of coarse crystalline Mississippi Valley Type deposits at shallow levels and an enigmatic, fine-grained fluorite, rare earth elements, Y, high field strength elements, Be, and Ba rich deposit at deeper levels. Phyllosilicates from a lamprophyre dike and a breccia from two Hicks Dome drill cores were sampled to resolve the fluid history of the entire deposit using...
Authors
Julia A. McIntosh, Craig A. Johnson, Allen K. Andersen, Albert H. Hofstra

Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska

The National Hydrography Dataset (NHD) managed by the U.S. Geological Survey (USGS) is being updated with higher-quality feature representations through efforts that derive hydrography from 3DEP HR elevation datasets. Deriving hydrography from elevation through traditional flow routing and interactive methods is a complex, time-consuming process that must be tailored for different...
Authors
Larry V. Stanislawski, Nattapon Jaroenchai, Shaowen Wang, Ethan J. Shavers, Alexander Duffy, Philip T. Thiem, Zhe Jiang, Adam Camerer

Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines

Large geospatial datasets must often be generalized for analysis and display at reduced scales. Automated methods including artificial intelligence and deep learning are being applied to this problem, but the results are often analyzed on the basis of limited and subjective measures. To better support automation, a project is underway to develop a robust Python toolkit for computing...
Authors
Barry J. Kronenfeld, Larry Stanislawski, Barbara P. Buttenfield, Ethan J. Shavers

Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin

Depth to bedrock is an important factor in hydrologic systems. The thickness of glacial sediments overlying bedrock in Wisconsin controls the routing of groundwater in surficial aquifers and its Depth to bedrock is often an important factor in hydrologic systems because hydraulic properties of bedrock and overlying sediments are typically appreciably different. For example, the thickness...
Authors
Burke J. Minsley, Kayla J Crosbie, James J. Duncker, Daniel T. Feinstein, Lisa Haas, Dave Hart, Randall J. Hunt, Matthew J. Komiskey

Finding a GEM: The Grassland Effectiveness Monitoring (GEM) protocol provides a tiered approach for habitat treatment assessment across private lands incentive programs Finding a GEM: The Grassland Effectiveness Monitoring (GEM) protocol provides a tiered approach for habitat treatment assessment across private lands incentive programs

The soil store carbon dioxide from the atmosphere through different processes, depending on the use and management of the land. For the Maderas del Carmen and Ocampo natural protected areas, one of the main conservation goals is to preserve natural habitats, ensuring an ecological balance and making a sustainable. The main productive activity in the region is extensive livestock...
Authors
Rebekah J. Rylander, Anna M. Matthews, Daniel Bunting, Michael C. Duniway, James J. Giocomo, Anna C. Knight, Adriana Leiva, Robert M. Perez, Kourtney Stonehouse, Derek Wiley, Don Wilhelm

Grassland Effectiveness Monitoring (GEM): A tiered approach for habitat treatment assessment across private lands incentive programs Grassland Effectiveness Monitoring (GEM): A tiered approach for habitat treatment assessment across private lands incentive programs

Introduction The decline of North American grasslands is a topic of increasing interest as agencies and organizations work to address subsequent declines in wildlife species, including grassland birds (Rosenberg et al. 2019), pronghorn (Antilocapra americana) (Gedir et al. 2015), and other grassland-dependent taxa. In response to grassland habitat loss, conservation programs and policies...
Authors
Anna M. Matthews, Rebekah J. Rylander, Daniel Bunting, Michael C. Duniway, James J. Giocomo, Anna C. Knight, Adriana Leiva, Robert M. Perez, Kourtney Stonehouse, Derek Wiley, Don Wilhelm
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