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: 2389
Where forest may not return in the western United States
Droughts that are hotter, more frequent, and last longer; pest outbreaks that are more extensive and more common; and fires that are more frequent, more extensive, and perhaps more severe have raised concern that forests in the western United States may not return once disturbed by one or more of these agents. Numerous field-based studies have been undertaken to better understand forest response t
Authors
James Wickham, Anne Neale, Kurt H. Riitters, Maliha Nash, Jon Dewitz, Suming Jin, Megan van Fossen, D Rosenbaum
Evaluation of Landsat image compositing algorithms
We proposed a new image compositing algorithm (MAX-RNB) based on the maximum ratio of Near Infrared (NIR) to Blue band (RNB), and evaluated it together with nine other compositing algorithms: MAX-NDVI (maximum Normalized Difference Vegetation Index), MED-NIR (median NIR band), WELD (conterminous United States Web-Enabled Landsat Data), BAP (Best Available Pixel), PAC (Phenology Adaptive Composite)
Authors
Shi Qiu, Zhe Zhu, Pontus Olofsson, Curtis Woodcock, Suming Jin
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
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 implementing the
Authors
Congcong Li, George Z. Xian, Danika F. Wellington, Kelcy Smith, Josephine Horton, Qiang Zhou
ECCOE Landsat Quarterly Calibration and Validation report—Quarter 1, 2022
Executive SummaryThe U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) 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 Landsa
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Md Nahid Hasan, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Alex Denevan, Shannon Franks, Esad Micijevic, Michael J. Choate, Cody Anderson, Brian Markham, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Lawrence Ong
System characterization report on the Amazônia-1 multispectral sensor
Executive SummaryThis report addresses system characterization of the Instituto Nacional de Pesquisas Espaciais Amazônia-1 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. These reports present and detail the methodology and procedures for characterization;
Authors
James C. Vrabel, Gregory L. Stensaas, Cody Anderson, Jon Christopherson, Minsu Kim, Seonkyung Park