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: 2394
Assessing global elevation models for mapping the low elevation coastal zone
Elevation data are critical for assessments of coastal hazards, including sea-level rise (SLR), flooding, storm surge, tsunami impacts, and wave run-up. Previous research has demonstrated that the quality of data used in elevation-based hazard assessments must be well documented and applied properly to assess potential impacts. Global digital elevation models (DEMs), at 30- to 90-meter resolutio
Authors
Dean B. Gesch
Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region
The availability of reliable gridded precipitation datasets is limited around the world, especially in arid regions. In this study, we utilized observations from satellite-based precipitation data and in situ rain gauge observations to determine a suitable precipitation dataset in the Middle East & North Africa (MENA) region. First, we evaluated seven different precipitation products using rain ga
Authors
Stefanie Kagone, Naga Manohar Velpuri, Kul Bikram Khand, Gabriel B. Senay, Michael R. Van der Valk, Daniel J. Goode, Salam Abu Hantash, Thair M. Al-Momani, Nanor Momejian, Jack R. Eggleston
ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 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
Spatiotemporal patterns and environmental drivers of eastern redcedar (Juniperus virginiana) abundance along the Missouri River, USA
Context: Changes in disturbance regimes, including reductions in flooding and geomorphic dynamism from dam construction and flow regulation, have facilitated invasion by eastern redcedar (Juniperus virginiana L.), an upland tree species, in the understory of floodplain forests along the Missouri National Recreational River (MNRR).Objectives: Our aim was to determine the spatiotemporal patterns and
Authors
Nadeesha D. Illeperuma, Mark D. Dixon, Caroline M. Elliott, Kimberly I. Magnuson, Miyuraj H H. Withanage, James E. Vogelmann
Temporal trends in agricultural water use and the relationships to hydroclimatic factors in the High Plains aquifer region
The High Plains aquifer (HPA) is the primary water source for agricultural irrigation in the US Great Plains. The water levels in many locations of the aquifer have declined steadily over the past several decades because the rate of water withdrawals exceeds recharge, which has been a serious concern to the water resources management in the region. We evaluated temporal trends and variations in ag
Authors
Lei Ji, Gabriel B. Senay
Evaluation of Copernicus DEM and comparison to the DEM used for Landsat collection-2 processing
Having highly accurate and reliable Digital Elevation Models (DEMs) of the Earth’s surface is critical to orthorectify Landsat imagery. Without such accuracy, pixel locations reported in the data are difficult to assure as accurate, especially in more mountainous landscapes, where the orthorectification process is the most challenging. To this end, the Landsat Calibration and Validation Team (Cal/
Authors
Shannon Franks, Rajagopalan Rengarajan
Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment
High interannual variability of forage production in semiarid grasslands leads to uncertainties when livestock producers make decisions, such as buying additional feed, relocating animals, or using flexible stocking. Within-season predictions of annual forage production (i.e., yearly production) can provide specific boundaries for producers to make these decisions with more information and possibl
Authors
Markéta Poděbradská, Bruce K. Wylie, Michael J. Hayes, Deborah J. Bathke, Yared A. Bayissa, Stephen P. Boyte, Jesslyn F. Brown, Brian D. Wardlow
Landsat Collection 2 U.S. Analysis Ready Data
Landsat Collection 2 (C2) U.S. Analysis Ready Data (U.S. ARD) are bundles of tiled Landsat data that make the Landsat archive easier to analyze and reduce the amount of time users spend on data processing for time-series analysis. Landsat C2 was released in 2020 and includes improvements over Landsat Collection 1 data, including better geometric accuracy, which increases the number of available C2
A web-based application for exploring potential changes in design peak flow of U.S. urban areas driven by land cover change
Floods have become increasingly prominent in recent decades, especially in urban areas causing devastating effects on lives and livelihoods worldwide. Efficient tools to assess the drivers of floods, such as increasing urbanization could help to minimize flood hazards. A Google Earth Engine (GEE) application was developed to explore the potential changes (1985-2020) in design peak-flow of urban ar
Authors
Kul Bikram Khand, Gabriel B. Senay
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