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.
Filter Total Items: 272
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 several researchers in recent years, the selection and c
Authors
Larry V. Stanislawski, Michael P. Finn, Barbara P. Buttenfield
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 conserving them, as called for in Sustainable Develo
Authors
Roger Sayre, Charlie Frye, Deniz Karagulle, Jürg Krauer, Sean Breyer, Peter Aniello, Dawn J. Wright, Davnah Payne, Carolina Adler, Harumi Warner, D. Paco Van Sistine, Jill Janene Cress
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 capacity to inform decisions, where both generalities o
Authors
Carolina Adler, Elisa Palazzi, Aino Kulonen, Jörg Balsiger, Guido Colangeli, Douglas Cripe, Nathan Forsythe, Grace Goss-Durant, Yaniss Guigoz, Jürg Krauer, Davnah Payne, Nicholas Pepin, Manuel Peralvo, José Romero, Roger Sayre, Maria Shahgedanova, Rolf Weingartner, Marc Zebisch
Stratifying ocean sampling globally and with depth to account for environmental variability
With increasing depth, the ocean is less sampled for physical, chemical and biological variables. Using the Global Marine Environmental Datasets (GMED) and Ecological Marine Units (EMUs), we show that spatial variation in environmental variables decreases with depth. This is also the case over temporal scales because seasonal change, surface weather conditions, and biological activity are highest
Authors
Mark John Costello, Zeenatul Basher, Roger Sayre, Sean P. Breyer, Dawn J. Wright
Temporal evaluation of estrogenic endocrine disruption markers in smallmouth bass (Micropterus dolomieu) reveals seasonal variability in intersex
A reconnaissance project completed in 2009 identified intersex and elevated plasma vitellogenin in male smallmouth bass inhabiting the Missisquoi River, VT. In an attempt to identify the presence and seasonality of putative endocrine disrupting chemicals or other factors associated with these observations, a comprehensive reevaluation was conducted between September 2012 and June 2014. Here, we co
Authors
Luke R. Iwanowicz, A.E. Pinkney, C.P. Guy, A.M. Major, K. Munney, Vicki S. Blazer, David Alvarez, Heather L. Walsh, Adam J. Sperry, Lakyn R. Sanders, D. R. Smith
A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset High Resolution Flowlines
Bathymetric and topobathymetric light detection and ranging (lidar) digital elevation models created for the Delaware River were provided to the National Geospatial Program and used to evaluate synthetic flowpath extraction from bathymetric/topobathymetric lidar survey data as a data source for improving the density, distribution, and connectivity of the National Hydrography Dataset High Resolutio
Authors
Cynthia Miller-Corbett
The map as knowledge base
This paper examines the concept and implementation of a map as a knowledge base. A map as a knowledge base means that the visual map is not only the descriptive compilation of data and design principles, but also involves a compilation of semantic propositions and logical predicates that create a body of knowledge organized as a map. The digital product of a map as knowledge base can be interprete
Authors
Dalia E. Varanka, E. Lynn Usery
Generalizing linear stream features to preserve sinuosity for analysis and display: A pilot study in multi-scale data science
Cartographic generalization can impact geometric properties of geospatial data and subsequent analyses. This study evaluates simplification methods with the goal of preserving geometric details, such as sinuosity. We evaluate two recently developed line simplification algorithms that introduce Steiner points: Raposo’s Spatial Means, and Kronenfeld’s new area-preserving segment collapse algorithm,
Authors
Larry V. Stanislawski, Barry J. Kronenfeld, Barbara P. Buttenfield, Tyler (Contractor) Brockmeyer
Modeling and simulation of emergent behavior in transportation infrastructure restoration
The objective of this chapter is to create a methodology to model the emergent behavior during a disruption in the transportation system and that calculates economic losses due to such a disruption, and to understand how an extreme event affects the road transportation network. The chapter discusses a system dynamics approach which is used to model the transportation road infrastructure system to
Authors
Akhilesh Ojha, Steven Corns, Thomas G. Shoberg, Ruwen Qin, Suzanna K. Long
Modeling wildfire-induced permafrost deformation in an Alaskan boreal forest using InSAR observations
The discontinuous permafrost zone is one of the world’s most sensitive areas to climate change. Alaskan boreal forest is underlain by discontinuous permafrost, and wildfires are one of the most influential agents negatively impacting the condition of permafrost in the arctic region. Using interferometric synthetic aperture radar (InSAR) of Advanced Land Observation Satellite (ALOS) Phased Array ty
Authors
Yusef Eshqi Molan, Jin-Woo Kim, Zhong Lu, Bruce K. Wylie, Zhiliang Zhu
An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions
This paper describes a workflow for automating the extraction of elevation-derived stream lines using open source tools with parallel computing support and testing the effectiveness of procedures in various terrain conditions within the conterminous United States. Drainage networks are extracted from the US Geological Survey 1/3 arc-second 3D Elevation Program elevation data having a nominal cell
Authors
Larry V. Stanislawski, Kornelijus Survila, Jeffrey Wendel, Yan Liu, Barbara P. Buttenfield
A linked GeoData map for enabling information access
OverviewThe Geospatial Semantic Web (GSW) is an emerging technology that uses the Internet for more effective knowledge engineering and information extraction. Among the aims of the GSW are to structure the semantic specifications of data to reduce ambiguity and to link those data more efficiently. The data are stored as triples, the basic data unit in graph databases, which are similar to the vec
Authors
Logan J. Powell, Dalia E. Varanka