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.
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...
Arundel, Samantha; Usery, E. Lynn 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...
Varanka, Dalia E. Drought stress and hurricane defoliation influence mountain clouds and moisture recycling in a tropical forest
Mountain ranges generate clouds, precipitation, and perennial streamflow for water supplies, but the role of forest cover in mountain hydrometeorology and cloud formation is not well understood. In the Luquillo Experimental Forest of Puerto Rico, mountains are immersed in clouds nightly, providing a steady precipitation source to support the...
Scholl, Martha A.; Bassiouni, Maoya; Torres-Sanchez, Angel J. Identification of Global Priorities for New Mountain Protected and Conserved Areas
Mountain ecosystems are extremely diverse and fragile. They include astonishing biodiversity in terms of number of taxa and endemicity, and globally provide the most diverse range of ecosystem services. The world’s system of protected and conserved areas includes many outstanding areas within the earth’s mountainous landscape: about 19% of...
Jacobs, Peter; Beever, Erik A.; Carbutt, Clinton; Foggin, Marc; Juffe-Bignoli, Diego; Martin, Madeline Thomas; Orchard, Shane; Sayre, Roger Carbon stock losses and recovery observed for a mangrove ecosystem following a major hurricane in Southwest Florida
Studies integrating mangrove in-situ observations and remote sensing analysis for specific sites often lack precise estimates of carbon stocks over time frames that include disturbance events. This study quantifies change in mangrove area from 1985 to 2018 with Landsat time series analysis, estimates above and belowground stored carbon...
Peneva-Reed, Elitsa I.; Krauss, Ken; Bullock, Eric L.; Zhu, Zhiliang; Woltz, Victoria; Drexler, Judith Z.; Conrad, Jeremy R.; Stehman, Stephen V 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...
Arundel, Samantha; Sinha, Gaurav; Chan, Arthur The geography of islands
Islands come in all shapes, sizes and types, from tiny rocky outcrops, to enormous continental landmasses. The true number of islands distributed in the planet’s seas and oceans is still elusive. Recent efforts bolstered by an abundance of detailed satellite imagery and the sophistication of geographic information systems (GIS) are bringing real...
Sayre, Roger; Martin, Madeline Thomas; Cress, Jill Janene; Holmes, N.; McDermott-Long, O.; Spatz, D.; VanGraafeiland, K.; Weatherdon, L.; Will, D.
2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium
The Joint Agency Commercial Imagery Evaluation (JACIE) is a collaboration between five Federal agencies that are major users and producers of satellite land remote sensing data. In recent years, the JACIE group has observed ever-increasing numbers of remote sensing satellites being launched. This rapidly growing wave of new systems creates a need...
Ramaseri Chandra, Shankar N.; Christopherson, Jon B.; Casey, Kimberly A.
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...
Terziotti, Silvia; Archuleta, Christy-Ann
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...
Archuleta, Christy-Ann; Terziotti, Silvia Global islands
A new map of global islands at a high spatial resolution (30 m) has been produced from a semi-automated interpretation of 2014 satellite imagery. The data are available in the public domain. The islands were classified by size into continental mainlands (5), big islands > 1 km2 (21,818), and small islands ≤ 1...
Martin, Madeline Thomas; Sayre, Roger; Van Graafeiland, Keith; McDermott-Long, Osgur; Weatherdon, Lauren; Will, David; Spatz, Dena R.; Holmes, Nicholas 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...
Arundel, Samantha; Li, Wenwen; Wang, Sizhe