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
Landsat 9 cross calibration under-fly of Landsat 8: Planning, and execution Landsat 9 cross calibration under-fly of Landsat 8: Planning, and execution
During the early post-launch phase of the Landsat 9 mission, the Landsat 8 and 9 mission teams conducted a successful under-fly of Landsat 8 by Landsat 9, allowing for the near-simultaneous data collection of common Earth targets by the on-board sensors for cross-calibration. This effort, coordinated by the Landsat Calibration and Validation team, required contributions from various...
Authors
Edward Kaita, Brian Markham, Md Obaidul Haque, Donald Dichmann, Aaron Gerace, Lawrence Leigh, Susan Good, Michael Schmidt, Christopher J. Crawford
Development of the LCMAP annual land cover product across Hawai'i Development of the LCMAP annual land cover product across Hawai'i
Following the completion of land cover and change (LCC) products for the conterminous United States (CONUS), the U.S. Geological Survey's (USGS’s) Land Change Monitoring, Assessment, and Projection initiative has broadened the capability of characterizing continuous historical land change across the full Landsat records for Hawaiʻi at 30-meter resolution. One of the challenges of...
Authors
Congcong Li, George Xian, Danika F. Wellington, Kelcy Smith, Josephine Horton, Qiang Zhou
GeoImageNet: A multi-source natural feature benchmark dataset for GeoAI and supervised machine learning GeoImageNet: A multi-source natural feature benchmark dataset for GeoAI and supervised machine learning
The field of GeoAI or Geospatial Artificial Intelligence has undergone rapid development since 2017. It has been widely applied to address environmental and social science problems, from understanding climate change to tracking the spread of infectious disease. A foundational task in advancing GeoAI research is the creation of open, benchmark datasets to train and evaluate the...
Authors
Wenwen Li, Sizhe Wang, Samantha Arundel, Chia-Yu Hsu
Open knowledge network roadmap: Powering the next data revolution Open knowledge network roadmap: Powering the next data revolution
Open access to shared information is essential for the development and evolution of artificial intelligence (AI) and AI-powered solutions needed to address the complex challenges facing the nation and the world. The Open Knowledge Network (OKN), an interconnected network of knowledge graphs, would provide an essential public-data infrastructure for enabling an AI-driven future. It would...
Authors
Chaitan Baru, Martin Halbert, Lara Campbell, Tess DeBlanc-Knowles, Jemin George, Wo Chang, Adam Pah, Douglas Maughan, Ilya Zaslavsky, Amanda Stathopoulos, Ellie Young, Kat Albrecht, Amit Sheth, Emanuel Sallinger, Katerine Osatuke, Angela Rizk-Jackson, Eric Jahn, Kenneth Berkowitz, Bandana Kar, Erica Smith, Krzystof Janowicz, Brian Handspicker, Esther Jackson, Lauren Sanders, Chengkai Li, Florence Hudson, Lilit Yeghiazarian, Cogan Shimizu, Glenn Ricart, Louiqa Raschid, Dalia Varanka, Greg Seaton, Luis Amaral, Oktie Hassanzadeh, Silviu Cucerzan, Matt Bishop, Ora Lassila, Sharat Israni, Matthew Lange, Pascal Hitzler, Ryan McGranaghan, Michael Cafarella, Paul Wormeli, Todd Bacastow, Sam Klein, Murat Omay, Sergio Baranzini, Ying Ding, Nariman Ammar
Scaling-up deep learning predictions of hydrography from IfSAR data in Alaska Scaling-up deep learning predictions of hydrography from IfSAR data in Alaska
The United States National Hydrography Dataset (NHD) is a database of vector features representing the surface water features for the country. The NHD was originally compiled from hydrographic content on U.S. Geological Survey topographic maps but is being updated with higher quality feature representations through flow-routing techniques that derive hydrography from high-resolution...
Authors
Larry Stanislawski, Ethan Shavers, Alexander Duffy, Philip Thiem, Nattapon Jaroenchai, Shaowen Wang, Zhe Jiang, Barry Kronenfeld, Barbara Buttenfield
A geospatial knowledge graph prototype for national topographic mapping A geospatial knowledge graph prototype for national topographic mapping
Knowledge graphs are a form of database representation and handling that show the potential to better meet the challenges of data interoperability, semi-automated information reasoning, and information retrieval. Geospatial knowledge graphs (GKG) have at their core specialized forms of applied ontology that provide coherent spatial context to a domain of information including non-spatial
Authors
Dalia Varanka
A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
Mangrove forests are the most important ecosystems on Pohnpei Island, Federated States of Micronesia, as the island communities of the central Pacific rely on the forests for many essential services including protection from sea-level rise that is occurring at a greater pace than the global average. As part of a multi-component assessment to evaluate vulnerabilities of mangrove forests...
Authors
Victoria Woltz, Elitsa I. Peneva-Reed, Zhiliang Zhu, Eric Bullock, Richard MacKenzie, Maybeleen Apwong, Ken Krauss, Dean Gesch
Human populations in the world’s mountains: Spatio-temporal patterns and potential controls Human populations in the world’s mountains: Spatio-temporal patterns and potential controls
Changing climate and human demographics in the world's mountains will have increasingly profound environmental and societal consequences across all elevations. Quantifying current human populations in and near mountains is crucial to ensure that any interventions in these complex social-ecological systems are appropriately resourced, and that valuable ecosystems are effectively protected...
Authors
James Thornton, Mark Snethlage, Roger Sayre, Davnah Urbach, Daniel Viviroli, Daniele Ehrlich, Veruska Muccione, Philippus Wester, Gregory Insarov, Carolina Adler
GeoAI and the future of spatial analytics GeoAI and the future of spatial analytics
This chapter discusses the challenges of traditional spatial analytical methods in their limited capacity to handle big and messy data, as well as mining unknown or latent patterns. It then introduces a new form of spatial analytics—geospatial artificial intelligence (GeoAI)—and describes the advantages of this new strategy in big data analytics and data-driven discovery. Finally, a...
Authors
Wenwen Li, Samantha Arundel
Utah and Landsat Utah and Landsat
Utah’s list of notable features runs long, but scenery rises to the top. The Colorado River does not simply run through southeastern Utah; it meanders through steep canyons of the eroded sedimentary rock that colors the sweeping vistas of the Colorado Plateau. Stone arches, spires, hoodoos, cliffs, and bridges in hues of red enchant residents and tourists. Mountain ranges extending...
Authors
Washington and Landsat Washington and Landsat
Washington is a State of untamed wonders, from its ruggedly beautiful coastline to the volcanic peaks of the Cascades. “The Evergreen State” is also a State of contrasts, home to rainforests west of the Cascades and deserts to the east. Half of Washington is forested, and its orchards grow more than one-half of the apples sold in the United States. Rivers are important to the State...
Authors
System characterization report on PRecursore IperSpettrale della Missione Applicativa (PRISMA) System characterization report on PRecursore IperSpettrale della Missione Applicativa (PRISMA)
Executive Summary This report addresses system characterization of the Italian Space Agency’s PRecursore IperSpettrale della Missione Applicativa (PRISMA) 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...
Authors
Minsu Kim, Seonkyung Park, Cody Anderson, Gregory Stensaas