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.
After selecting any set of these criteria, click "Apply Filter" to view the search results.
Filter Total Items: 2442
Disruptions of El Niño–Southern Oscillation teleconnections by the Madden–Julian Oscillation
The El Niño–Southern Oscillation (ENSO) is the leading mode of interannual variability, with global impacts on weather and climate that have seasonal predictability. Research on the link between interannual ENSO variability and the leading mode of intraseasonal variability, the Madden–Julian oscillation (MJO), has focused mainly on the role of MJO initiating or terminating ENSO. We use observation
Authors
Andrew Hoell, Mathew Barlow, Mathew Wheeler, Christopher C. Funk
Landsat Surface Reflectance Climate Data Records
Landsat Surface Reflectance Climate Data Records (CDRs) are high level Landsat data products that support land surface change studies. Climate Data Records, as defined by the National Research Council, are a time series of measurements with sufficient length, consistency, and continuity to identify climate variability and change. The U.S. Geological Survey (USGS) is using the valuable 40-year Land
Authors
Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET
Continental Africa has the highest volume of water stored in wetlands, large lakes, reservoirs, and rivers, yet it suffers from problems such as water availability and access. With climate change intensifying the hydrologic cycle and altering the distribution and frequency of rainfall, the problem of water availability and access will increase further. Famine Early Warning Systems Network (FEWS NE
Authors
Naga Manohar Velpuri, Gabriel B. Senay, James Rowland, James P. Verdin, Henok Alemu
Climate change implications and use of early warning systems for global dust storms
With increased changes in land cover and global climate, early detection and warning of dust storms in conjunction with effective and widespread information broadcasts will be essential to the prevention and mitigation of future risks and impacts. Human activities, seasonal variations and long-term climatic patterns influence dust storms. More research is needed to analyse these factors of dust mo
Authors
Lindsey M. Harriman
The United States Geological Survey Science Data Lifecycle Model
U.S. Geological Survey (USGS) data represent corporate assets with potential value beyond any immediate research use, and therefore need to be accounted for and properly managed throughout their lifecycle. Recognizing these motives, a USGS team developed a Science Data Lifecycle Model (SDLM) as a high-level view of data—from conception through preservation and sharing—to illustrate how data manage
Authors
John Faundeen, Thomas E. Burley, Jennifer A. Carlino, David L. Govoni, Heather S. Henkel, Sally L. Holl, Vivian B. Hutchison, Elizabeth Martín, Ellyn T. Montgomery, Cassandra Ladino, Steven Tessler, Lisa S. Zolly
Automated Cropland Classification Algorithm (ACCA) for California using multi-sensor remote sensing
Increasing pressure to feed the growing population with scarce water resources requires accurate and routine cropland mapping. This paper develops and implements a rule-based automated cropland classification algorithm (ACCA) using multi-sensor remote sensing data. Pixel-by-pixel accuracy assessments showed that ACCA produced an overall accuracy of 96 percent (Khat = 0.8) when tested using indepen
Authors
Zhuoting Wu, Prasad S. Thenkabail, James Verdin
Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions
With the acquisition of lidar data for over 30 percent of the US, it is now possible to assess the three-dimensional distribution of features at the national scale. This paper integrates over 350 billion lidar points from 28 disparate datasets into a national-scale database and evaluates if height above ground is an important variable in the context of other nationalscale layers, such as the US Ge
Authors
Jason M. Stoker, Mark A. Cochrane, David P. Roy
Using constructed analogs to improve the skill of National Multi-Model Ensemble March–April–May precipitation forecasts in equatorial East Africa
In this study we implement and evaluate a simple 'hybrid' forecast approach that uses constructed analogs (CA) to improve the National Multi-Model Ensemble's (NMME) March–April–May (MAM) precipitation forecasts over equatorial eastern Africa (hereafter referred to as EA, 2°S to 8°N and 36°E to 46°E). Due to recent declines in MAM rainfall, increases in population, land degradation, and limited tec
Authors
Shraddhanand Shukla, Christopher C. Funk, Andrew Hoell
Distribution of soil organic carbon in the conterminous United States
The U.S. Soil Survey Geographic (SSURGO) database provides detailed soil mapping for most of the conterminous United States (CONUS). These data have been used to formulate estimates of soil carbon stocks, and have been useful for environmental models, including plant productivity models, hydrologic models, and ecological models for studies of greenhouse gas exchange. The data were compiled by the
Authors
Norman B. Bliss, Sharon Waltman, Larry T. West, Anne Neale, Megan Mehaffey
Utilizing multi-sensor fire detections to map fires in the United States
In 2006, the Monitoring Trends in Burn Severity (MTBS) project began a cooperative effort between the US Forest Service (USFS) and the U.S.Geological Survey (USGS) to map and assess burn severity all large fires that have occurred in the United States since 1984. Using Landsat imagery, MTBS is mandated to map wildfire and prescribed fire that meet specific size criteria: greater than 1000 acres in
Authors
Stephen M. Howard, Joshua J. Picotte, Michael Coan
Evaluating the SSEBop approach for evapotranspiration mapping with landsat data using lysimetric observations in the semi-arid Texas High Plains
The operational Simplified Surface Energy Balance (SSEBop) approach was applied on 14 Landsat 5 thermal infrared images for mapping daily actual evapotranspiration (ETa) fluxes during the spring and summer seasons (March–October) in 2006 and 2007. Data from four large lysimeters, managed by the USDA-ARS Conservation and Production Research Laboratory were used for evaluating the SSEBop estimated E
Authors
Gabriel Senay, Prasanna H. Gowda, Stefanie Bohms, T.A. Howell, Mackenzie Friedrichs, T.H. Marek, James Verdin