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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: 2619

Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET 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...
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 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...
Authors
Lindsey M. Harriman

The United States Geological Survey Science Data Lifecycle Model 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...
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 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...
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 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...
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 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...
Authors
Shraddhanand Shukla, Christopher C. Funk, Andrew Hoell

Distribution of soil organic carbon in the conterminous United States 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...
Authors
Norman B. Bliss, Sharon Waltman, Larry T. West, Anne Neale, Megan Mehaffey

A universal Model-R Coupler to facilitate the use of R functions for model calibration and analysis A universal Model-R Coupler to facilitate the use of R functions for model calibration and analysis

Mathematical models are useful in various fields of science and engineering. However, it is a challenge to make a model utilize the open and growing functions (e.g., model inversion) on the R platform due to the requirement of accessing and revising the model's source code. To overcome this barrier, we developed a universal tool that aims to convert a model developed in any computer...
Authors
Yiping Wu, Shuguang Liu, Wende Yan

Utilizing multi-sensor fire detections to map fires in the United States 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...
Authors
Stephen M. Howard, Joshua J. Picotte, Michael Coan

LANDFIRE 2001 and 2008 refresh: geographic area report: Alaska LANDFIRE 2001 and 2008 refresh: geographic area report: Alaska

The LANDFIRE National Project (LF_1.0.0) was successfully completed in 2009. The goal of LANDFIRE National was to generate consistent 2001 vintage 30 meter spatial data sets for all 50 States for fire and other natural resource applications. This report highlights results from the continuation of LANDFIRE as a program to update the spatial data layers through 2008. The focus of this...
Authors
Joel A. Connot

Land cover characterization and mapping of South America for the year 2010 using Landsat 30 m satellite data Land cover characterization and mapping of South America for the year 2010 using Landsat 30 m satellite data

Detailed and accurate land cover and land cover change information is needed for South America because the continent is in constant flux, experiencing some of the highest rates of land cover change and forest loss in the world. The land cover data available for the entire continent are too coarse (250 m to 1 km) for resource managers, government and non-government organizations, and...
Authors
Chandra Giri, Jordan Long
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