Publications
Below is a list of the most recent EROS peer-reviewed scientific papers, reports, fact sheets, and other publications. You can search all our publication holdings by type, topic, year, and order.
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Filter Total Items: 2420
Landsat Collection 2 Level-3 Fractional Snow Covered Area science product
The Landsat Collection 2 Level-3 Fractional Snow Covered Area science product indicates the percentage of pixels covered by snow for Landsat 4–9 imagery. Landsat’s spatial resolution offers the capability to map snow cover patterns across topographically complex mountainous regions. Snow cover is spatially and temporally variable and is often concentrated in remote or inaccessible land regions, ma
A large new crater exposes the limits of water ice on Mars
Water ice in the Martian mid-latitudes has advanced and retreated in response to variations in the planet's orbit, obliquity, and climate. A 150 m-diameter new impact crater near 35°N provides the lowest-latitude impact exposure of subsurface ice on Mars. This is the largest known ice-exposing crater and provides key constraints on Martian climate history. This crater indicates a regional, relativ
Authors
Colin M. Dundas, Michael T. Mellon, Liliya V Posiolova, Katarina Miljkovic, Gareth S Collins, Livio L. Tornabene, Vidhya Ganesh Rangarajan, Matthew P. Golombek, Nicholas H. Warner, Ingrid J. Daubar, Shane Byrne, Alfred S. McEwen, Kimberly D. Seelos, Donna Viola, Ali M Bramson, Gunnar Speth
Landsat Collection 2 Level-3 Burned Area science product
Accurate and complete data on fire locations and burned areas are needed to quantify trends and patterns of fire occurrence, characterize drivers of fire, project future fire pattern behavior, and help with assessments of fire effects on natural and social systems. The Landsat Collection 2 Level-3 Burned Area science product is designed to identify burned areas across all ecosystems (for example,
Landsat Collection 2 Level-3 Dynamic Surface Water Extent science product
The Landsat Collection 2 Level-3 Dynamic Surface Water Extent science product provides raster data that represent surface water inundation per pixel in Landsat 4–9 imagery. The Collection 2 Dynamic Surface Water Extent science product contains six acquisition-based raster products relating to surface water. Surface water extent is modulated by weather and climate, stream network hydrology, and geo
OpenET: Filling a critical data gap in water management for the western United States
The lack of consistent, accurate information on evapotranspiration (ET) and consumptive use of water by irrigated agriculture is one of the most important data gaps for water managers in the western United States (U.S.) and other arid agricultural regions globally. The ability to easily access information on ET is central to improving water budgets across the West, advancing the use of data-driven
Authors
Forrest Melton, Justin Huntington, Robyn Grimm, Jamie Herring, Maurice Hall, Dana Rollison, Tyler Erickson, Richard Allen, Martha Anderson, Joshua Fisher, Ayse Kilic, Gabriel Senay, John Volk, Christopher Hain, Lee Johnson, Anderson Ruhoff, Philip Blankenau, Matthew Bromley, Will Carrara, Britta Daudert, Conor Doherty, Christian Dunkerly, MacKenzie Friedrichs, Alberto Guzman, Gregory Halverson, Jody Hansen, Jordan Harding, Yanghui Kang, David C. Ketchum, Blake Minor, Charles Morton, Samuel Ortega-Salazar, Thomas Ott, Mutlu Ozdogan, Peter Revelle, Mitch Schull, Carlos Wang, Yun Yang, Ray G. Anderson
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 entities acros
Authors
Edward Kaita, Brian Markham, Md Obaidul Haque, Donald Dichmann, Aaron Gerace, Lawrence Leigh, Susan Good, Michael Schmidt, Christopher J. Crawford
ECCOE Landsat Quarterly Calibration and Validation report—Quarter 2, 2022
Executive SummaryThe U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Md Nahid Hasan, Ashish Shrestha, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Alex Denevan, Shannon Franks, Esad Micijevic, Michael J. Choate, Cody Anderson, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Lawrence Ong
Rapid and gradual permafrost thaw: A tale of two sites
Warming temperatures and increasing disturbance by wildfire and extreme weather events is driving permafrost change across northern latitudes. The state of permafrost varies widely in space and time, depending on landscape, climate, hydrologic, and ecological factors. Despite its importance, few approaches commonly measure and monitor the changes in deep (>1 m) permafrost conditions with high spat
Authors
Burke J. Minsley, Neal Pastick, Stephanie R. James, Dana R.N. Brown, Bruce K. Wylie, Mason A. Kass, Vladimir E. Romanovsky
Absolute accuracy assessment of lidar point cloud using amorphous objects
The accuracy assessment of airborne lidar point cloud typically estimates vertical accuracy by computing RMSEz (root mean square error of the z coordinate) from ground check points (GCPs). Due to the low point density of the airborne lidar point cloud, there is often not enough accurate semantic context to find an accurate conjugate point. To advance the accuracy assessment in full three-dimension
Authors
Minsu Kim, Jason M. Stoker, Jeffrey Irwin, Jeffrey J. Danielson, Seonkyung Park
2022 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium
The Joint Agency Commercial Imagery Evaluation (JACIE) is a collaboration between six 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 for a single reference for land remote sensing satel
Authors
Shankar N. Ramaseri Chandra, Jon B. Christopherson, Kimberly A. Casey, Jane Lawson, Aparajithan Sampath
Using biological responses to monitor freshwater post-spill conditions over 3 years in Blacktail Creek, North Dakota, USA
A pipeline carrying unconventional oil and gas (OG) wastewater spilled approximately 11 million liters of wastewater into Blacktail Creek, North Dakota, USA. Flow of the mix of stream water and wastewater down the channel resulted in storage of contaminants in the hyporheic zone and along the banks, providing a long-term source of wastewater constituents to the stream. A multi-level investigation
Authors
Aida Farag, David Harper, Isabelle M. Cozzarelli, Douglas B. Kent, Adam Mumford, Denise M. Akob, Travis W. Schaeffer, Luke R. Iwanowicz
By
Ecosystems Mission Area, Contaminant Biology, Environmental Health Program, Toxic Substances Hydrology, Columbia Environmental Research Center, Earth Resources Observation and Science (EROS) Center , Eastern Ecological Science Center, Geology, Energy & Minerals Science Center, Reston Microbiology Laboratory