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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: 175531

The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning

The advent of machine learning techniques has led to a proliferation of landscape classification products. These approaches can fill gaps in wetland inventories across the United States (U.S.) provided that large reference datasets are available to develop accurate models. In this study, we tested the feasibility of expediting the classification process by sourcing requisite training and...
Authors
Christopher E. Soulard, Jessica J. Walker, Britt Windsor Smith, Jason R. Kreitler

The U.S. Geological Survey National Streamgage Network—2023 The U.S. Geological Survey National Streamgage Network—2023

The U.S. Geological Survey (USGS) operated 11,850 continuous surface-water monitoring locations (streamgages) across the United States in 2023. The streamgages provide information on river height and streamflow, typically at 15-minute intervals. This information is then made available to everyone, most of it delivered nearly in realtime on the USGS National Water Dashboard.
Authors
Brian E. McCallum

A case study and comparison of mid-winter warming and solar driven wet slab avalanche cycles A case study and comparison of mid-winter warming and solar driven wet slab avalanche cycles

Wet slab avalanches are poorly understood and often difficult to forecast. Yet, wet slab avalanches can be destructive and may become more common in a changing climate. As the onset of wet avalanches moves earlier in the winter season due to climate change, understanding snowpack and meteorological characteristics of wet slab avalanches will become increasingly important. In this study...
Authors
Erich H. Peitzsch, Cameron Johnson, Scott Savage, Zachary Miller, Zachary Hoppinen

Detecting avalanche path ground cover and vegetation change across multiple scales through time using remote sensing tools Detecting avalanche path ground cover and vegetation change across multiple scales through time using remote sensing tools

Large-magnitude avalanches often alter vegetation composition, avalanche path dimensions, and subsequent avalanche return periods. Understanding temporal changes in individual avalanche path trimlines, runout zones, and geomorphic characteristics helps forecasters, planners, and engineers estimate potential avalanche destructive size and impact on infrastructure or settlements in the...
Authors
Erich H. Peitzsch, Zachary Miller, Ron Simonhois, Ethan M. Greene

Remote sensing for monitoring mine lands and recovery efforts Remote sensing for monitoring mine lands and recovery efforts

Under the Bipartisan Infrastructure Law Ecosystem Restoration Program, the U.S. Department of the Interior has invested in assessing and recovering degraded ecosystems to promote healthy human communities and wildlife habitats. One priority established by the program is the need to address degraded ecosystems associated with mine lands, including active, inactive, and abandoned mines...
Authors
Michael S. O’Donnell, Ashley L. Whipple, Richard D. Inman, Bryan C. Tarbox, Adrian P. Monroe, Benjamin S. Robb, Cameron L. Aldridge

Testing rate‐and‐state predictions of aftershock decay with distance Testing rate‐and‐state predictions of aftershock decay with distance

We analyze aftershocks of the 2019 M 7.1 Ridgecrest mainshock and isolated M 5–6 mainshocks in southern California to test predictions made by the rate‐and‐state friction model of Dieterich (1994). Rate‐and‐state friction predicts that the seismicity rate after a stress step follows Omori decay, where the Omori c‐value, which is the saturation in aftershock rate observed at small times...
Authors
Morgan T. Page, Nicholas van der Elst, Sebastian Hainzl
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