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Publications

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The 4th paradigm in multiscale data representation: Modernizing the National Geospatial Data Infrastructure The 4th paradigm in multiscale data representation: Modernizing the National Geospatial Data Infrastructure

The need of citizens in any nation to access geospatial data in readily usable form is critical to societal well-being, and in the United States (US), demands for information by scientists, students, professionals and citizens continue to grow. Areas such as public health, urbanization, resource management, economic development and environmental management require a variety of data...
Authors
Barbara P. Buttenfield, Larry Stanislawski, Barry J. Kronenfeld, Ethan J. Shavers

Spatial data reduction through element -of-interest (EOI) extraction Spatial data reduction through element -of-interest (EOI) extraction

Any large, multifaceted data collection that is challenging to handle with traditional management practices can be branded ‘Big Data.’ Any big data containing geo-referenced attributes can be considered big geospatial data. The increased proliferation of big geospatial data is currently reforming the geospatial industry into a data-driven enterprise. Challenges in the big spatial data...
Authors
Samantha Arundel, E. Lynn Usery

GIS object data properties GIS object data properties

Data properties are characteristics of GIS attribute systems and values whose design and format impacts analytical and computational processing. Geospatial data are expressed at conceptual, logical, and physical levels of database abstraction intended to represent geographical information. The appropriate design of attribute systems and selection of properties should be logically...
Authors
Dalia E. Varanka

An attention U-Net model for detection of fine-scale hydrologic streamlines An attention U-Net model for detection of fine-scale hydrologic streamlines

Surface water is an irreplaceable resource for human survival and environmental sustainability. Accurate, finely detailed cartographic representations of hydrologic streamlines are critically important in various scientific domains, such as assessing the quantity and quality of present and future water resources, modeling climate changes, evaluating agricultural suitability, mapping...
Authors
Zewei Xu, Shaowen Wang, Larry Stanislawski, Zhe Jiang, Nattapon Jaroenchai, Arpan Man Sainju, Ethan J. Shavers, E. Lynn Usery, Li Chen, Zhiyu Li, Bin Su

Improving the positional and vertical accuracy of named summits above 13,000 ft in the United States Improving the positional and vertical accuracy of named summits above 13,000 ft in the United States

The National Map (TNM) portal provides public access to U.S. Geological Survey (USGS) high-resolution topographic datasets, and maps from the Historical Topographic Map Collection (HTMC). Elevation values shown on HTMC maps were obtained from ground spot elevation measurements, as compared to today’s elevation measurements derived from more efficient methods, such as lidar, radar, or...
Authors
Samantha Arundel, Gaurav Sinha, Arthur Chan

Creating annotations for web ontology language ontology generated from relational databases Creating annotations for web ontology language ontology generated from relational databases

Many approaches that have been proposed that allow users to create a Web Ontology Language (OWL) ontology from a relational database fail to include metadata that are inherent to the database tables. Without metadata, the resulting ontology lacks annotation properties. These properties are key when performing ontology alignment. This paper proposes a method to include relevant metadata...
Authors
Matthew Edward Wagner, Tanner Edward Fry, Jacques Jules Bourquin, Dalia E. Varanka

Elevation-derived hydrography acquisition specifications Elevation-derived hydrography acquisition specifications

Hydrographic features derived from U.S. Geological Survey (USGS) 3D Elevation Program data, and collected for use by the USGS, must meet the specifications described in this document. The specifications described herein pertain to the final product delivered to the USGS, not to methods used to derive the hydrographic features. The specifications describe the collection area, spatial...
Authors
Silvia Terziotti, Christy-Ann Archuleta

Elevation-derived hydrography—Representation, extraction, attribution, and delineation rules Elevation-derived hydrography—Representation, extraction, attribution, and delineation rules

With the increasing availability of 3D Elevation Program (3DEP) quality high resolution elevation data across the United States and the pressing need for better integrated elevation and hydrography data, the U.S. Geological Survey is developing guidance to improve the horizontal and vertical alignment of these datasets. The U.S. Geological Survey is providing the Elevation-Derived...
Authors
Christy-Ann Archuleta, Silvia Terziotti

GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning

Machine learning allows “the machine” to deduce the complex and sometimes unrecognized rules governing spatial systems, particularly topographic mapping, by exposing it to the end product. Often, the obstacle to this approach is the acquisition of many good and labeled training examples of the desired result. Such is the case with most types of natural features. To address such...
Authors
Samantha Arundel, Wenwen Li, Sizhe Wang

A system design for implementing advanced feature descriptions for a map knowledge base A system design for implementing advanced feature descriptions for a map knowledge base

A prototype system to explore Linked Data that semantically integrates geospatial data in various formats from different publication sources with data from The National Map of the U.S. Geological Survey is presented. The focus is on accessing advanced feature descriptions for data from The National Map with data coreferenced from other sources. The prototype uses Geoserver to access The...
Authors
Matthew Wagner, Dalia E. Varanka, E. Lynn Usery

Integrating the sociology of space with geospatial semantics relation properties for data graphs Integrating the sociology of space with geospatial semantics relation properties for data graphs

This research posits that socially constructed spatial relations address concepts of interactions instead of intersections, human/tool agents instead of physical processes, and broader ranges of geographical outcomes. The hypothesis is that social space can be represented by using patterns of logic relations between sets of entities. The data corpus of spatial relations was extracted...
Authors
Dalia E. Varanka

Alignment of surface water ontologies: A comparison of manual and automated approaches Alignment of surface water ontologies: A comparison of manual and automated approaches

More data are being collected about the world around us than ever before, but effectively using this information requires different data stores to be integrated in such a way that they can be seamlessly queried and analyzed. Automated alignment algorithms exist to facilitate this data integration challenge. In this paper we examine the utility of two current leading automated alignment...
Authors
Michelle Cheatham, Dalia E. Varanka, Fatima Arauz, Lu Zhou
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