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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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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 Stanislawski, Nattapon Jaroenchai, Shaowen Wang, Ethan Shavers, Alexander Duffy, Philip 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 Kronenfeld, Larry Stanislawski, Barbara Buttenfield, Ethan Shavers

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 Rylander, Anna Matthews, Daniel Bunting, Michael Duniway, James Giocomo, Anna Knight, Adriana Leiva, Robert 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 Matthews, Rebekah Rylander, Daniel Bunting, Michael Duniway, James Giocomo, Anna Knight, Adriana Leiva, Robert Perez, Kourtney Stonehouse, Derek Wiley, Don Wilhelm

Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures

The origin of Au-bearing, low sulfide quartz veins in the Pogo and Tibbs Creek regions of interior Alaska remain enigmatic. Intrusion-related Au and mesozonal orogenic vein models have both been proposed (Thompson and Newberry, 2000; Rhys et al., 2003; Goldfarb et al., 2022; Dilworth et al., 2007). To date, studies of igneous geochronology and metamorphic timing have shown that gold...
Authors
Douglas Kreiner, William Thompson, Jonathan Caine, Ashleigh Ball, Christopher S. Holm-Denoma, Paul O’Sullivan, Holly Stein

CGS: Coupled growth and survival model with cohort fairness CGS: Coupled growth and survival model with cohort fairness

Fish modeling in complex environments is critical for understanding drivers of population dynamics in aquatic systems. This paper proposes a Bayesian network method for modeling fish survival and growth over multiple connected rivers. Traditional fish survival models capture the effect of multiple environmental drivers (e.g., stream temperature, stream flow) by adding different variables...
Authors
Erhu He, Yue Wan, Benjamin Letcher, Jennifer Fair, Yiquin Xie, Xiaowei Jia

The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California

A range of hydrologic responses can be observed in steep, recently burned terrain, which makes predicting the spatial distribution of large debris flows challenging. Studies from rainfall-induced landslides in unburned areas show evidence of hydroclimatic tuning of landslide triggering, such that the spatial distribution of events is best predicted by the observed rainfall anomaly...
Authors
David Cavagnaro, Scott W. McCoy, Matthew Thomas, Jaime Kostelnik, Donald Lindsay

Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution

Debris flow erosion into bedrock helps to set the pace of mountain denudation, but there are few empirical observations of this process. We studied the effects of debris flows on bedrock erosion using Structure-From-Motion photogrammetry and multiple real-time monitoring measurements. We found that the distribution of bedrock erosion across the channel cross-section could be generalized...
Authors
Francis Rengers, Jason Kean, Jeffrey Coe, Megan Hanson, Joel Smith

Using integrated growth to delineate debris-flow inundation Using integrated growth to delineate debris-flow inundation

Debris-flow volume is fundamental to mobility, yet many debris flows change volume as they travel. Growth can occur through diverse processes such as channel-bed entrainment, bank failures, aggregation of landslides, and coalescence of multiple flows. Integrating growth, either over upslope area or stream length, combines the effects of these growth processes and requires specification...
Authors
Mark Reid, Dianne Brien, Collin Cronkite-Ratcliff, Jonathan Perkins

Runout model evaluation based on back-calculation of building damage Runout model evaluation based on back-calculation of building damage

We evaluated the ability of three debris-flow runout models (RAMMS, FLO2D and D-Claw) to predict the number of damaged buildings in simulations of the 9 January 2019 Montecito, California, debris-flow event. Observations of building damage after the event were combined with OpenStreetMap building footprints to construct a database of all potentially impacted buildings. At the estimated...
Authors
Katherine Barnhart, Jason Kean

Forecasting the inundation of postfire debris flows Forecasting the inundation of postfire debris flows

In the semi-arid regions of the western United States, postfire debris flows are typically runoff generated. The U.S. Geological Survey has been studying the mechanisms of postfire debris-flow initiation for multiple decades to generate operational models for forecasting the timing, location, and magnitude of postfire debris flows. Here we discuss challenges and progress for extending...
Authors
Katherine Barnhart, Ryan P Jones, David George, Francis Rengers, Jason Kean
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