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: 2456
Biophysical drivers for predicting the distribution and abundance of invasive yellow sweetclover in the Northern Great Plains
ContextYellow sweetclover (Melilotus officinalis; YSC) is an invasive biennial legume that bloomed across the Northern Great Plains in 2018–2019 in response to above-average precipitation. YSC can increase nitrogen (N) levels and potentially cause substantial changes in the composition of native plant species communities. There is little knowledge of the spatiotemporal variability and conditions c
Authors
Sakshi Saraf, Ranjeet John, Reza Goljani Amirkhiz, Venkatesh Kolluru, Khushboo Jain, Matthew B. Rigge, Vincenzo Giannico, Stephen P. Boyte, Jiquan Chen, Geoffrey M. Henebry, Meghann Jarchow, Raffaele Lafortezza
Impact of the dimethyl sulfoxide reductase superfamily on the evolution of biogeochemical cycles
The dimethyl sulfoxide reductase (or MopB) family is a diverse assemblage of enzymes found throughout Bacteria and Archaea. Many of these enzymes are believed to have been present in the last universal common ancestor (LUCA) of all cellular lineages. However, gaps in knowledge remain about how MopB enzymes evolved and how this diversification of functions impacted global biogeochemical cycles thro
Authors
Michael L. Wells, Minjae Kim, Denise M. Akob, Partha Basu, John F. Stolz
Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions
This research builds upon the extensive body of work to model exotic annual grass (EAG) characteristics and invasion. EAGs increase wildland fire risk and intensifies wildland fire behavior in western U.S. rangelands. Therefore, understanding characteristics of EAG growth increases understanding of its dynamics and can inform rangeland management decisions. To better understand EAG phenology and s
Authors
Trenton D Benedict, Stephen P. Boyte, Devendra Dahal, Dinesh Shrestha, Sujan Parajuli, Logan J. Megard
Development of a benchmark eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS
A large sample of ground-based evapotranspiration (ET) measurements made in the United States, primarily from eddy covariance systems, were post-processed to produce a benchmark ET dataset. The dataset was produced primarily to support the intercomparison and evaluation of the OpenET satellite-based remote sensing ET (RSET) models and could also be used to evaluate ET data from other models and ap
Authors
John Volk, Justin Huntington, Forrest M. Melton, Richard Allen, Martha C. Anderson, Joshua B. Fisher, Ayse Kilic, Gabriel B. Senay, Gregory Halverson, Kyle Knipper, Blake Minor, Christopher Pearson, Tianxin Wang, Yun Yang, Steven R. Evett, Andrew N. French, Richard L. Jasoni, William P. Kustas
ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 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, Jeff Miller
Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States
The National Land Cover Database (NLCD), a product suite produced through the MultiResolution Land Characteristics (MRLC) consortium, is an operational land cover monitoring program. Starting from a base year of 2001, NLCD releases a land cover database every 2–3-years. The recent release of NLCD2019 extends the database to 18 years. We implemented a stratified random sample to collect land cover
Authors
James Wickham, Stephen V. Stehman, Daniel G. Sorenson, Leila Gass, Jon Dewitz
Improving temporal frequency of Landsat surface temperature products using the gap-filling algorithm
Remotely sensed surface temperature (ST) has been widely used to monitor and assess landscape thermal conditions, hydrologic modeling, and surface energy balance. Landsat thermal sensors have continuously measured the Earth surface thermal radiance since August 1982. The thermal radiance measurements are atmospherically compensated and converted to Landsat STs and delivered as part of the U.S. Geo
Authors
George Z. Xian, Hua Shi, Saeed Arab, Chase Mueller, Reza Hussain, Kristi Sayler, Danny Howard
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
Toward consistent change detection across irregular remote sensing time series observations
The use of remote sensing in time series analysis enables wall-to-wall monitoring of the land surface and is critical for assessing and understanding land cover and land use change and for understanding the Earth system as a whole. However, variability in remote sensing observation frequency through time and across space presents challenges for producing consistent change detection results through
Authors
Heather J. Tollerud, Zhe Zhu, Kelcy Smith, Danika F. Wellington, Reza Hussain, Donna Viola
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
National Land Cover Database 2019: A comprehensive strategy for creating the 1986-2019 forest disturbance product
The National Land Cover Database (NLCD) 2016 products show that, between 2001 and 2016, nearly half of the land cover change in the conterminous United States (CONUS) involved forested areas. To ensure the quality of NLCD land cover and land cover change products, it is important to accurately detect the location and time of forest disturbance. We designed a comprehensive strategy to integrate a c
Authors
Suming Jin, Jon Dewitz, Congcong Li, Daniel G. Sorenson, Zhe Zhu, Rakibul Shogib, Patrick Danielson, Brian Granneman, Catherine Costello, Adam Case, Leila Gass
Rangeland Condition Monitoring Assessment and Projection, 1985–2021
The Rangeland Condition Monitoring Assessment and Projection (RCMAP) project quantifies the percentage cover of rangeland components across the western United States using Landsat imagery from 1985 to 2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, nonsagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addi
Authors
Matthew B. Rigge