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: 181
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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.

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Year Published: 2018

Classifying physiographic regimes on terrain and hydrologic factors for adaptive generalization of stream networks

Automated generalization software must accommodate multi-scale representations of hydrographic networks across a variety of geographic landscapes, because scale-related hydrography differences are known to vary in different physical conditions. While generalization algorithms have been tailored to specific regions and landscape conditions by...

Stanislawski, Larry V.; Finn, Michael P.; Buttenfield, Barbara P.
Lawrence V. Stanislawski, Michael P. Finn & Barbara P. Buttenfield (2018): Classifying physiographic regimes on terrain and hydrologic factors for adaptive generalization of stream networks, International Journal of Cartography, DOI: 10.1080/23729333.2018.1443759

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Year Published: 2018

A new high-resolution map of world mountains and an online tool for visualizing and comparing characterizations of global mountain distributions

Answers to the seemingly straightforward questions “what is a mountain?” and “where are the mountains of the world?” are in fact quite complex, and there have been few attempts to map the mountains of the earth in a consistent and rigorous fashion. However, knowing exactly where mountain ecosystems are distributed on the planet is a precursor to...

Sayre, Roger; Frye, Charlie; Karagulle, Deniz; Krauer, Jürg; Breyer, Sean; Aniello, Peter; Wright, Dawn J.; Payne, Davnah; Adler, Carolina; Warner, Harumi; Van Sistine, D. Paco; Cress, Jill Janene

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Year Published: 2018

Monitoring mountains in a changing world: New horizons for the Global Network for Observations and Information on Mountain Environments (GEO-GNOME)

Mountains are globally distributed environments that provide significant societal benefits, a function that is increasingly compromised by climatic change, environmental stress, political and socioeconomic transformations, and unsustainable use of natural resources. Gaps in our understanding of these processes and their interactions limit our...

Adler, Carolina; Palazzi, Elisa; Kulonen, Aino; Balsiger, Jörg; Colangeli, Guido; Cripe, Douglas; Forsythe, Nathan; Goss-Durant, Grace; Guigoz, Yaniss; Krauer, Jürg; Payne, Davnah; Pepin, Nicholas; Peralvo, Manuel; Romero, José; Sayre, Roger; Shahgedanova, Maria; Weingartner, Rolf; Zebisch, Marc