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.
A spatio-contextual probabilistic model for extracting linear features in hilly terrain from high-resolution DEM data
This paper introduces our research in developing a probabilistic model to extract linear terrain features from high resolution DEM (Digital Elevation Model) data. The proposed model takes full advantage of spatio-contextual information to characterize terrain changes. It first derives a quantifiable measure of spatio-contextual patterns of linear...
Zhou, Xiran; Li, Wenwen; Arundel, Samantha The effect of resolution on terrain feature extraction
Recent increase in the production of high-resolution digital elevation models (DEMs) from lidar data has led to interest in their use for terrain mapping. Although the impact of different resolutions has been studied relative to terrain characteristics like roughness, slope and curvature, its relationship to the extraction of terrain features...
Arundel, Samantha; Li, Wenwen; Zhou, Xiran
Supply chain infrastructure restoration calculator software tool—Developer guide and user manual
This report describes a software tool that calculates costs associated with the reconstruction of supply chain interdependent critical infrastructure in the advent of a catastrophic failure by either outside forces (extreme events) or internal forces (fatigue). This tool fills a gap between search and recover strategies of the Federal Emergency...
Ojha, Akhilesh; Kanwar, Bhanu; Long, Suzanna K.; Shoberg, Thomas G.; Corns, Steven Problems of Large Spatial Databases
Large spatial databases often labeled as geospatial big data exceed the capacity of commonly used computing systems as a result of data volume, variety, velocity, and veracity. Additional problems also labeled with V’s are cited, but the four primary ones are the most problematic and focus of this chapter (Li et al., 2016, Panimalar et al., 2017...
Usery, E. Lynn
The 3D Elevation Program—Supporting California's Economy
IntroductionCalifornia faces unprecedented challenges presented by shifting weather patterns that are defining a “new normal.” The result has been extreme weather events, prolonged drought, flooding, and debris flows. These conditions drive severe tree mortality, increase wildfire occurrence and intensity, reduce water availability, and hasten...
Ostergren, Carol L.; Decker, Drew; Carswell,, William J.
Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models
Topographical differencing and edge-matching analyses were used to evaluate agreement of the Coastal National Elevation Database Applications Project’s Northern Gulf of Mexico topobathymetric digital elevation model (TBDEM) with The National Map 3-Dimensional Elevation Program (3DEP) 1/3 arc-second digital elevation models (DEMs). In addition to...
Miller-Corbett, Cynthia Scale‐dependent effects of isolation on seasonal patch colonisation by two Neotropical freshwater fishes
The metapopulation paradigm has been central to improve the conservation and management of natural populations. However, despite the large number of studies on metapopulation dynamics, the overall support for the relationships on which the paradigm is based has not been strong. Here, we studied the occupancy dynamics of two Neotropical fishes (i.e...
Penha, Jerry; Hakamada, Karlo Y. P.; Hines, James E.; Nichols, James D. Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data
Whither the topographic map? Topographic mapping historically has been approached as a map factory operation through the period 1879-1990. During this time, data were field and photogrammetrically collected; cartographically verified and annotated creating a compilation manuscript; further edited, generalized, symbolized, and produced as a graphic...
Usery, E. Lynn; Varanka, Dalia E.; Davis, Larry 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 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.
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 T.; Young, John A. 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.