Core Science Systems

Publications

Here you will find publications, reports and articles produced by Core Science System scientists. For a comprehensive listing of all USGS publications please click the button below.

USGS Pubs

Filter Total Items: 172
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Year Published: 2019

A multidisciplinary framework to derive global river reach classifications at high spatial resolution

Projected climate and environmental change are expected to increase the pressure on global freshwater resources. To prepare for and cope with the related risks, stakeholders need to devise plans for sustainable management of river systems, which in turn requires the identification of management-appropriate operational units, such as groups of...

Ouellet Dallaire, Camille; Lehner, Bernhard; Sayre, Roger; Thieme, Michele

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Year Published: 2019

A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units

A new 30-m spatial resolution global shoreline vector (GSV) was developed from annual composites of 2014 Landsat satellite imagery. The semi-automated classification of the imagery was accomplished by manual selection of training points representing water and non-water classes along the entire global coastline. Polygon topology was applied to the...

Sayre, Roger; Noble, Suzanne; Hamann, Sharon L.; Smith, Rebecca A.; Wright, Dawn J.; Breyer, Sean P.; Butler, Kevin; Van Graafeiland, Keith; Frye, Charlie; Karagulle, Deniz; Hopkins, Dabney; Stephens, Drew; Kelly, Kevin; Basher, Zeenatul; Burton, Devon; Cress, Jill Janene; Atkins, Karina; Van Sistine, D. Paco; Friesen, Beverly; Allee, Rebecca; Allen, Tom; Aniello, Peter; Asaad, Irawan; Costello, Mark John; Goodin, Kathy; Harrison, Peter; Kavanaugh, Maria T.; Lillis, Helen; Manca, Eleonora; Muller-Karger, Frank E.; Nyberg, Bjorn; Parsons, Rost; Saarinen, Justin; Steiner, Jac; Reed, Adam

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Year Published: 2019

US Topo Product Standard

This document defines a U.S. Geological Survey (USGS) digital topographic map. This map product series, named “US Topo,” is modeled on the now historical USGS 7.5-minute (1:24,000 scale) topographic map series produced and printed by the USGS from 1947 to 2006. US Topo maps have the same extent, scale, and general layout as the historical...

Davis, Larry R.; Fishburn, Kristin A.; Lestinsky, Helmut; Moore, Laurence R.; Walter, Jennifer L.
Davis, L.R., Fishburn, K.A., Lestinsky, Helmut, Moore, L.R., and Walter, J.L., 2019, US Topo Product Standard (ver. 2.0, February 2019): U.S. Geological Survey Techniques and Methods book 11, chap. B2, 20 p., 3 plates, scales 1:24,000, 1:25,000, and 1:20,000, https://doi.org/10.3133/tm11b2.

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Year Published: 2019

Deep convolutional neural networks for map-type classification

Maps are an important medium that enable people to comprehensively understand the configuration of cultural activities and natural elements over different times and places. Although a massive number of maps are available in the digital era, how to effectively and accurately locate and access the desired map on the Internet remains a challenge...

Zhou, Xiran; Li, Wenwen; Arundel, Samantha; Liu, Jun

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Year Published: 2019

Validating the use of object-based image analysis to map commonly-recognized landform features in the United States

The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically-accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of the USGS Geographic Names Information System (GNIS) by associating boundaries with GNIS features whose spatial representation is...

Arundel, Samantha; Sinha, Gaurav

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Year Published: 2019

Generalization in practice within national mapping agencies

National Mapping Agencies (NMAs) are still among the main end users of research into automated generalisation, which is transferred into their produc- tion lines via various means. This chapter includes contributions from seven NMAs, illustrating how automated generalisation is used in practice within their partly or fully automated databases and...

Duchêne, Cécile; Baella, Blanca; Brewer, Cynthia A.; Burghardt, Dirk; Buttenfield, Barbara P.; Gaffuri, Julien; Käuferle, Dominik; Lecordix, Francois; Maugeais, Emmanuel; Nijhuis, Ron; Pla, Maria; Post, Marc; Regnauld, Nicolas; Stanislawski, Larry; Stoter, Jantien; Tóth, Katalin; Urbanke, Sabine; van Altena, Vincent; Wiedemann, Antje

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Year Published: 2018

Mapping interactive geospatial linked data

No abstract available.

Baumer, William (Contractor); Powell, Logan J.; Varanka, Dalia E.

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Year Published: 2018

Streams do work: Measuring the work of low-order streams on the landscape using point clouds

The mutable nature of low-order streams makes regular updating of surface water maps necessary for accurate representation. Low-order streams make up roughly half the streams in the conterminous United States by length, and small inaccuracies in stream head location can result in significant error in stream reach, order, and density. Reliable maps...

Shavers, Ethan J.; Stanislawski, Larry V.

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Year Published: 2018

Community for Data Integration fiscal year 2017 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 11 projects funded in fiscal year 2017, outlining their goals, activities, and outputs.

Hsu, Leslie; Allstadt, Kate E.; Bell, Tara M.; Boydston, Erin E.; Erickson, Richard A.; Everette, A. Lance; Lentz, Erika E.; Peters, Jeff; Reichert, Brian E.; Nagorsen, Sarah; Sherba, Jason T.; Signell, Richard P.; Wiltermuth, Mark; Young, John A.
Hsu, L., Allstadt, K.E., Bell, T.M., Boydston, E.E., Erickson, R.A., Everette, A.L., Lentz, E., Peters, J., Reichert, B.E., Nagorsen, S., Sherba, J.T., Signell, R.P., Wiltermuth, M.T., and Young, J.A., 2018, Community for Data Integration fiscal year 2017 funded project report: U.S. Geological Survey Open-File Report 2018–1154, 15 p., https://doi.org/10.3133/ofr20181154.

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Year Published: 2018

Automated road breaching to enhance extraction of natural drainage networks from elevation models through deep learning

High-resolution (HR) digital elevation models (DEMs), such as those at resolutions of 1 and 3 meters, have increasingly become more widely available, along with lidar point cloud data. In a natural environment, a detailed surface water drainage network can be extracted from a HR DEM using flow-direction and flow-accumulation modeling. However,...

Stanislawski, Larry; Brockmeyer, Tyler; Shavers, Ethan J.

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Year Published: 2018

Area-preserving simplification of polygon features

Developing simplified representations of a two-dimensional polyline is an important problem in cartographic data analytics where datasets must be integrated across spatial resolutions. This problem is generally referred to as line simplification, and is increasingly driven by preservation of specific analytic properties such as positional accuracy...

Kronenfeld, Barry J.; Stanislawski, Larry V.; Brockmeyer, Tyler; Buttenfield, Barbara P.

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Year Published: 2018

Similarity assessment of linear hydrographic features using high performance computing

This work discusses a current open source implementation of a line similarity assessment workflow to compare elevation-derived drainage lines with the high-resolution National Hydrography Dataset (NHD) surface-water flow network. The process identifies matching and mismatching lines in each dataset to help focus subsequent validation procedures to...

Stanislawski, Larry V.; Wendel, Jeffrey; Shavers, Ethan J.; Li, Ting
Stanislawski, L.V., Li, T., Wendel, J., and Shavers, E., 2018. Similarity assessment of linear hydrographic features using high performance computing. FOSS4G North America. May 14-16, 2018. St. Louis, Missouri.