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
GeoAI for spatial image processing GeoAI for spatial image processing
The development of digital image processing, as a subset of digital signal processing, depended upon the maturity of photography and image science, introduction of computers, discovery and advancement of digital recording devices, and the capture of digital images. In addition, government and industry applications in the Earth and medical sciences were paramount to the growth of the...
Authors
Samantha Arundel, Kevin McKeehan, Wenwen Li, Zhining Gu
Assessment of a new GeoAI foundation model for floodinundation mapping Assessment of a new GeoAI foundation model for floodinundation mapping
Vision foundation models are a new frontier in GeoAI research because of their potential to enable powerful image analysis by analyzing and extracting important image features from vast amounts of geospatial data. This paper evaluates the performance of the first-of-its-kind geospatial foundation model, IBM-NASA’s Prithvi, to support a crucial geospatial analysis task: flood inundation...
Authors
Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha Arundel
At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution
Stream bend geometry is linked to terrain features, hydrologic and ecologic conditions, and anthropogenic forces. Knowledge of the distributions of geometric properties of streams advances understanding of changing landscape conditions and associated processes that operate over a range of spatial scales. Statistical decomposition of sinuosity in natural linear features has proven a...
Authors
Larry Stanislawski, Barry Kronenfeld, Barbara Buttenfield, Ethan Shavers
Space-based Earth observation and ecosystem extent: Exploring opportunities Space-based Earth observation and ecosystem extent: Exploring opportunities
The purpose of this white paper is to explore and communicate potential new opportunities for using space-based Earth observation (EO) for monitoring biodiversity with a focus on ecosystem extent (the distribution of ecosystems on the Earth). It is part of a new activity of the Committee on Earth Observation Satellites (CEOS), a collaboration of the world’s space agencies that...
Authors
Gary Geller, Shaun Levick, Sandra Luque, Roger Sayre, Andreas Brink, Nicholas Coops, Sylvie Durrieu, Judith Ewald, Hannes Feilhauer, Jean-Baptiste Feret, Simon Ferrier, Miroslav Honzak, Dino Lenco, Amanda Koltz, Nikhil Lele, Shea Lombardo, Miguel Mahecha, Carsten Meyer, Marc Paganini, Cassidy Rankine, Duccio Rocchini, Amy Rosenthal, Maria J. Santos, Lucie Viciano
Reimagining standardization and geospatial interoperability in today’s GeoAI culture Reimagining standardization and geospatial interoperability in today’s GeoAI culture
Integrating Geospatial Artificial Intelligence (GeoAI) into our technological landscape has revolutionized our capacity to understand and engage with the world. However, the burgeoning adoption of GeoAI applications has underscored the imperative of data, format, and conveyance standardization and enhancing geospatial interoperability. This vision paper delves into the intricacies of the...
Authors
Samantha Arundel, Wenwen Li, Bryan Campbell
A guide to creating an effective big data management framework A guide to creating an effective big data management framework
Many agencies and organizations, such as the U.S. Geological Survey, handle massive geospatial datasets and their auxiliary data and are thus faced with challenges in storing data and ingesting it, transferring it between internal programs, and egressing it to external entities. As a result, these agencies and organizations may inadvertently devote unnecessary time and money to convey...
Authors
Samantha Arundel, Kevin McKeehan, Bryan Campbell, Andrew Bulen, Philip Thiem
Developing satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands Developing satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands
The Republic of the Marshall Islands (also known as the Marshall Islands) is a nation of more than 30 low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone over 770,000 square miles in the tropical central north Pacific Ocean. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed island nation...
Authors
Gabriel Senay, David A. Helweg, Stefanie Kagone, John Taylor, Thomas Cecere, Tiare Eastmond, Amy Koch, Kurtis Nelson, Lajikit Rufus
Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska
The National Hydrography Dataset (NHD) managed by the U.S. Geological Survey (USGS) is being updated with higher-quality feature representations through efforts that derive hydrography from 3DEP HR elevation datasets. Deriving hydrography from elevation through traditional flow routing and interactive methods is a complex, time-consuming process that must be tailored for different...
Authors
Larry Stanislawski, Nattapon Jaroenchai, Shaowen Wang, Ethan Shavers, Alexander Duffy, Philip Thiem, Zhe Jiang, Adam Camerer
Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines
Large geospatial datasets must often be generalized for analysis and display at reduced scales. Automated methods including artificial intelligence and deep learning are being applied to this problem, but the results are often analyzed on the basis of limited and subjective measures. To better support automation, a project is underway to develop a robust Python toolkit for computing...
Authors
Barry Kronenfeld, Larry Stanislawski, Barbara Buttenfield, Ethan Shavers
Colorado River Basin Actionable and Strategic Integrated Science and Technology (ASIST) pilot project progress toward an information management and technology plan Colorado River Basin Actionable and Strategic Integrated Science and Technology (ASIST) pilot project progress toward an information management and technology plan
Executive Summary The U.S. Geological Survey carries out a wide variety of multidisciplinary science projects through the Bureau’s regions, mission areas, programs, and science centers. However, this structure can limit interactions among individual scientists, segregate data holdings, and make it difficult to apply holistic, interdisciplinary science. In addition, technological advances...
Authors
Eric D. Anderson, Jennifer Erxleben, Sharon Qi, Adrian P. Monroe, Katharine Dahm
Calibration and validation for the Surface Biology and Geology (SBG) mission concept: Recommendations for a multi-sensor system for imaging spectroscopy and thermal imagery Calibration and validation for the Surface Biology and Geology (SBG) mission concept: Recommendations for a multi-sensor system for imaging spectroscopy and thermal imagery
The primary objective of the National Aeronautics and Space Administration (NASA) Surface Biology and Geology (SBG) mission is to measure biological, physical, chemical, and mineralogical features of the Earth's surface, realizing a key conceptual component of the envisioned NASA Earth System Observatory (ESO). SBG is planned to launch as a two-platform mission in the late 2020s, the...
Authors
Kevin Turpie, Kimberly Casey, Christopher J. Crawford, Liane Guild, Hugh Kieffer, Guoqing Lin, Raymond Kokaly, Alok Shrestha, Cody Anderson, Shankar Ramaseri Chandra, Robert O. Green, Simon Hook, Constantine Lukashin, Kurt Thome
The 3D Elevation Program—Supporting Oregon's economy The 3D Elevation Program—Supporting Oregon's economy
Introduction Oregon’s physical environments and vegetation are diverse. The varied geologic and climatic conditions combined with increasing population have created the need for high-quality elevation data that can be used for infrastructure management, forestry and wildfire management, agriculture, natural resources conservation, and other business uses. Critical applications that meet...
Authors
Tom Carlson