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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: 289

The evolution of geospatial reasoning, analytics, and modeling The evolution of geospatial reasoning, analytics, and modeling

The field of geospatial analytics and modeling has a long history coinciding with the physical and cultural evolution of humans. This history is analyzed relative to the four scientific paradigms: (1) empirical analysis through description, (2) theoretical explorations using models and generalizations, (3) simulating complex phenomena and (4) data exploration. Correlations among...
Authors
Samantha Arundel, Wenwen Li

GeoAI in the US Geological Survey for topographic mapping GeoAI in the US Geological Survey for topographic mapping

Geospatial artificial intelligence (GeoAI) can be defined broadly as the application of artificial intelligence methods and techniques to geospatial data, processes, models, and applications. The application of these methods to topographic data and phenomena is a focus of research in the US Geological Survey (USGS). Specifically, the USGS has researched and developed applications in...
Authors
E. Lynn Usery, Samantha Arundel, Ethan Shavers, Larry Stanislawski, Philip Thiem, Dalia Varanka

Validation of the U.S. Geological Survey’s Land Change Monitoring, Assessment and Projection (LCMAP) collection 1.0 annual land cover products 1985–2017 Validation of the U.S. Geological Survey’s Land Change Monitoring, Assessment and Projection (LCMAP) collection 1.0 annual land cover products 1985–2017

The U.S. Geological Survey Land Change Monitoring, Assessment and Projection (USGS LCMAP) has released a suite of annual land cover and land cover change products for the conterminous United States (CONUS). The accuracy of these products was assessed using an independently collected land cover reference sample dataset produced by analysts interpreting Landsat data, high-resolution aerial
Authors
Stephen Stehman, Bruce Pengra, Josephine Horton, Danika F. Wellington

System characterization report on Planet’s Dove-R System characterization report on Planet’s Dove-R

Executive Summary This report addresses system characterization of Planet’s Dove-R and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational...
Authors
Minsu Kim, Seonkyung Park, Cody Anderson, Gregory Stensaas

Earth's coastlines Earth's coastlines

With approximately half the world’s population living less than 65 miles from the ocean, coastal ecosystems are arguably Earth’s most critical real estate. Yet coastlines are among the more difficult features to accurately map; until now, no comprehensive high-resolution geospatial dataset existed. This chapter presents a new map and ecological inventory of global coastlines developed by...
Authors
Roger Sayre, Madeline Martin, Jill Cress, Kevin Butler, Keith Van Graafeiland, Sean Breyer, Dawn Wright, Charlie Frye, Deniz Karagulle, Tom Allen, Rebecca Allee, Rost Parsons, Bjorn Nyberg, Mark Costello, Frank Muller-Karger, Peter Harris

System characterization report on Planet’s Dove Classic System characterization report on Planet’s Dove Classic

Executive Summary This report addresses system characterization of Planet’s Dove Classic satellites and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and...
Authors
Minsu Kim, Seonkyung Park, Cody Anderson, Gregory Stensaas

Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling

Accurate maps of regional surface water features are integral for advancing ecologic, atmospheric and land development studies. The only comprehensive surface water feature map of Alaska is the National Hydrography Dataset (NHD). NHD features are often digitized representations of historic topographic map blue lines and may be outdated. Here we test deep learning methods to automatically...
Authors
Larry Stanislawski, Ethan Shavers, Shaowen Wang, Zhe Jiang, E. Lynn Usery, Evan Moak, Alexander Duffy, Joel Schott

System characterization report on the WorldView-3 Imager System characterization report on the WorldView-3 Imager

Executive Summary This report addresses system characterization of the Maxar WorldView-3 satellite and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence in 2020. These reports present and detail the methodology and procedures for characterization; present...
Authors
Simon J. Cantrell, Jon Christopherson, Cody Anderson, Gregory Stensaas, Shankar Ramaseri Chandra, Minsu Kim, Seonkyung Park

Watersheds and drainage networks Watersheds and drainage networks

This topic is an overview of basic concepts about how the distribution of water on the Earth, with specific regard to watersheds, stream and river networks, and waterbodies are represented by geographic data. The flowing and non-flowing bodies of water on the earth’s surface vary in extent largely due to seasonal and annual changes in climate and precipitation. Consequently, modeling the...
Authors
Larry Stanislawski, Ethan Shavers

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 Buttenfield, Larry Stanislawski, Barry Kronenfeld, Ethan 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

Mars Astrobiological Cave and Internal habitability Explorer (MACIE): A New Frontiers mission concept Mars Astrobiological Cave and Internal habitability Explorer (MACIE): A New Frontiers mission concept

Martian subsurface habitability and astrobiology can be evaluated via a lava tube cave, without drilling. MACIE addresses two key goals of the Decadal Survey (2013–2022) and three MEPAG goals. New advances in robotic architectures, autonomous navigation, target sample selection, and analysis will enable MACIE to explore the Martian subsurface.
Authors
C. M. Phillips-Lander, A. Agha-mohamamdi, J. Wynne, Timothy Titus, N. Chanover, C. Demirel-Floyd, Kyle Uckert, Kaj Williams, D Wyrick, J. Blank, Penelope Boston, K. Mitchell, A Kereszturi, J. Martin-Torres, S. Shkolyar, N. Bardabelias, S. Datta, K. Retherford, Lydia Sam, A. Bahardwaj, A. Fairen, D. Flannery, Roger Wiens
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