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Publications

Browse more than 160,000 publications authored by our scientists over the past 100+ year history of the USGS.  Publications available are: USGS-authored journal articles, series reports, book chapters, other government publications, and more.

Filter Total Items: 177046

Fine-resolution land cover mapping over large and mountainous areas for Lāna‘i, Hawaii using posterior probabilities, and expert knowledge Fine-resolution land cover mapping over large and mountainous areas for Lāna‘i, Hawaii using posterior probabilities, and expert knowledge

The task of accurately mapping species-specific vegetation cover in remote and topographically complex regions like those found in Hawaiʻi presents unique challenges. This study leverages a machine learning approach to accurately classify vegetation into fine species-specific classes across the island of Lāna‘i, Hawaii, offering a novel methodology for tackling such challenges. Utilizing...
Authors
Lucas Berio Fortini, Qiuming Cheng, Yoko Uyehara, Kari Bogner, Jonathan Sprague, Rachel Sprague

Modeled coastal-ocean pathways of land-sourced contaminants in the aftermath of Hurricane Florence Modeled coastal-ocean pathways of land-sourced contaminants in the aftermath of Hurricane Florence

Extreme precipitation during Hurricane Florence, which made landfall in North Carolina in September 2018, led to breaches of hog waste lagoons, coal ash pits, and wastewater facilities. In the weeks following the storm, freshwater discharge carried pollutants, sediment, organic matter, and debris to the coastal ocean, contributing to beach closures, algae blooms, hypoxia, and other...
Authors
Melissa Moulton, Joseph B. Zambon, Zuo Xue, John C. Warner, Daoyang Bao, Dongxiao Yin, Zafer Defne, Ruoying He, Christie Hegermiller

Temperature impacts on dengue incidence are nonlinear and mediated by climatic and socioeconomic factors: A meta-analysis Temperature impacts on dengue incidence are nonlinear and mediated by climatic and socioeconomic factors: A meta-analysis

Temperature can influence mosquito-borne diseases like dengue. These effects are expected to vary geographically and over time in both magnitude and direction and may interact with other environmental variables, making it difficult to anticipate changes in response to climate change. Here, we investigate global variation in temperature–dengue relationship by analyzing published...
Authors
Devin Kirk, Samantha Straus, Marissa L. Childs, Mallory Harris, Lisa Couper, T. Jonathan Davies, Coreen Forbes, Alyssa-Lois M. Gehman, Maya L. Groner, Christopher Harley, Kevin D. Lafferty, Van Savage, Eloise Skinner, Mary I. O’Connor, Erin A. Mordecai

Induced seismicity strategic vision Induced seismicity strategic vision

Authors
Elizabeth S. Cochran, Justin L. Rubinstein, Andrew J. Barbour, J. Ole Kaven

Making phase-picking neural networks more consistent and interpretable Making phase-picking neural networks more consistent and interpretable

Improving the interpretability of phase‐picking neural networks remains an important task to facilitate their deployment to routine, real‐time seismic monitoring. The popular phase‐picking neural networks published in the literature lack interpretability because their output prediction scores do not necessarily correspond with the reliability of phase picks and can even be highly...
Authors
Yongsoo Park, Brent G. Delbridge, David R. Shelly

Preparing for a Bsal invasion into North America has improved multi-sector readiness Preparing for a Bsal invasion into North America has improved multi-sector readiness

Western palearctic salamander susceptibility to the skin disease caused by the amphibian chytrid fungus Batrachochytrium salamandrivorans (Bsal) was recognized in 2014, eliciting concerns for a potential novel wave of amphibian declines following the B. dendrobatidis (Bd) chytridiomycosis global pandemic. Although Bsal had not been detected in North America, initial experimental trials...
Authors
Deanna H. Olson, Evan H. Campbell Grant, Molly Bletz, Jonah Piovia-Scott, David Lesbarreres, Jacob L. Kerby, Michael J. Adams, Maria Florencia Breitman, Michelle R. Christman, María J. Forzán, Matthew J. Gray, Aubree J. Hill, Michelle S. Koo, Olga Milenkaya, Eria A. Rebollar, Louise A. Rollins-Smith, Megan Serr, Alex Shepak, Lenny Shirose, Laura Sprague, Jenifer Walke, Alexa Warwick, Brittany A. Mosher

Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California earthquake sequence Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California earthquake sequence

The Mendocino triple junction, the intersection of the Pacific, North American, and Gorda plates, activates a collection of disparate faults that reconcile Cascadia subduction with San Andreas transform motion. The December 20, 2022, Mw 6.4 Ferndale, California earthquake occurred within this complex zone as strike-slip faulting within the subducting Gorda slab. Here, we analyze the...
Authors
David R. Shelly, Dara Elyse Goldberg, Kathryn Zerbe Materna, Robert John Skoumal, Jeanne L. Hardebeck, Clara Yoon, William L. Yeck, Paul S. Earle

When to target control efforts? Using novel GPS telemetry to quantify drivers of invasive Argentine black and white tegu (Salvator merianae) movement When to target control efforts? Using novel GPS telemetry to quantify drivers of invasive Argentine black and white tegu (Salvator merianae) movement

In South Florida, the Argentine black and white tegu (Salvator merianae), a large, omnivorous lizard, has become a recent threat to the Everglades ecosystem. The increase in tegu observations, especially near ecologically sensitive areas such as Everglades National Park, makes informed management critical to contain the tegu population. Using Very High Frequency (VHF) and Global...
Authors
Brittany M. Mason, Sergio A. Balaguera-Reina, Adam Benjamin, Frank J. Mazzotti, Hartwig H. Hochmair, Hardin Waddle

Modeling protective action decision-making in earthquakes by using explainable machine learning and video data Modeling protective action decision-making in earthquakes by using explainable machine learning and video data

Earthquakes pose substantial threats to communities worldwide. Understanding how people respond to the fast-changing environment during earthquakes is crucial for reducing risks and saving lives. This study aims to study people’s protective action decision-making in earthquakes by leveraging explainable machine learning and video data. Specifically, this study first collected real-world...
Authors
Xiaojian Zhang, Xilei Zhao, Dare Baldwin, Sara K. McBride, Josephine Bellizzi, Elizabeth S. Cochran, Nicolas Luco, Matthew Wood, Thomas J. Cova

California community Earth Models for Seismic Hazard Assessments workshop report California community Earth Models for Seismic Hazard Assessments workshop report

The California Community Earth Models for Seismic Hazard Assessments Workshop (https://www.scec.org/workshops/2024/california-community-models) was held online March 4–5, 2024, with more than 200 participants over the two days. In this report, we provide a summary of the key points from the presentations and discussions. We highlight three use cases that drive the development of...
Authors
Brad T. Aagaard, Scott Marshall, Sarah E. Minson, Dan Boyd, Marine A. Denolle, Eric J. Fielding, Alice-Agnes Gabriel, Christine A Goulet, Russell Graymer, Jeanne L. Hardebeck, Alexandra Elise Hatem, Evan Tyler Hirakawa, Tran Huynh, Lorraine Hwang, Karen Luttrell, Kathryn Z. Materna, Laurent Montesi, Michael Oskin, Arthur Rodgers, Arben Pitarka, Judy Zachariasen

Knowledge gaps and opportunities for understanding water-quality processes affecting water availability for beneficial uses Knowledge gaps and opportunities for understanding water-quality processes affecting water availability for beneficial uses

This report describes scientific gaps that limit our ability to predict water-quality effects on water availability for beneficial uses across the United States. Water-quality constituents considered in the report include salinity, geogenic constituents, contaminants of emerging concern, and nitrogen. For each constituent, there is a selection of scientific gaps, approaches, and outcomes...
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