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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: 2655

Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States

Process-oriented ecological models are frequently used for predicting potential impacts of global changes such as climate and land-cover changes, which can be useful for policy making. It is critical but challenging to automatically derive optimal parameter values at different scales, especially at regional scale, and validate the model performance. In this study, we developed an...
Authors
Yiping Wu, Shuguang Liu, Zhengpeng Li, Devendra Dahal, Claudia J. Young, Gail L. Schmidt, Jinxun Liu, Brian Davis, Terry L. Sohl, Jeremy M. Werner, Jennifer Oeding

Detecting emergence, growth, and senescence of wetland vegetation with polarimetric synthetic aperture radar (SAR) data Detecting emergence, growth, and senescence of wetland vegetation with polarimetric synthetic aperture radar (SAR) data

Wetlands provide ecosystem goods and services vitally important to humans. Land managers and policymakers working to conserve wetlands require regularly updated information on the statuses of wetlands across the landscape. However, wetlands are challenging to map remotely with high accuracy and consistency. We investigated the use of multitemporal polarimetric synthetic aperture radar...
Authors
Alisa L. Gallant, Shannon G. Kaya, Lori White, Brian Brisco, Mark F. Roth, Walter J. Sadinski, Jennifer Rover

Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin

This study projects future (e.g., 2050 and 2099) grassland productivities in the Greater Platte River Basin (GPRB) using ecosystem performance (EP, a surrogate for measuring ecosystem productivity) models and future climate projections. The EP models developed from a previous study were based on the satellite vegetation index, site geophysical and biophysical features, and weather and...
Authors
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Khem P. Phuyal

Use of multi-sensor active fire detections to map fires in the United States: the future of monitoring trends in burn severity Use of multi-sensor active fire detections to map fires in the United States: the future of monitoring trends in burn severity

The effort to utilize satellite-based MODIS, AVHRR, and GOES fire detections from the Hazard Monitoring System (HMS) to identify undocumented fires in Florida and improve the Monitoring Trends in Burn Severity (MTBS) mapping process has yielded promising results. This method was augmented using regression tree models to identify burned/not-burned pixels (BnB) in every Landsat scene (1984...
Authors
Joshua J. Picotte, Michael Coan, Stephen M. Howard

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

Forecasting distribution of numbers of large fires Forecasting distribution of numbers of large fires

Systems to estimate forest fire potential commonly utilize one or more indexes that relate to expected fire behavior; however they indicate neither the chance that a large fire will occur, nor the expected number of large fires. That is, they do not quantify the probabilistic nature of fire danger. In this work we use large fire occurrence information from the Monitoring Trends in Burn...
Authors
Jeffery C. Eidenshink, Haiganoush K. Preisler, Stephen Howard, Robert E. Burgan

Landsat Science Team meeting — First Landsat 8 evaluations Landsat Science Team meeting — First Landsat 8 evaluations

The U.S. Geological Survey (USGS)-NASA Landsat Science Team (LST) met at the USGS’ Earth Resources Observation and Science (EROS) Center near Sioux Falls, SD, from October 29-31, 2013. All meeting presentations can be downloaded from landsat.usgs.gov/science_LST_October_29_31_2013.php.
Authors
Thomas R. Loveland, Michael A. Wulder, James R. Irons

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

Earth observation based assessment of the water production and water consumption of Nile Basin agro-ecosystems Earth observation based assessment of the water production and water consumption of Nile Basin agro-ecosystems

The increasing competition for water resources requires a better understanding of flows, fluxes, stocks, and the services and benefits related to water consumption. This paper explains how public domain Earth Observation data based on Moderate Resolution Imaging Spectroradiometer (MODIS), Second Generation Meteosat (MSG), Tropical Rainfall Measurement Mission (TRMM) and various altimeter
Authors
Wim Bastiaanssen, Poolad Karimi, Lisa-Maria Rebelo, Zheng Duan, Gabriel B. Senay, Lal Muthuwatte, Vladimir Smakhtin

A design for a sustained assessment of climate forcings and feedbacks on land use land cover change A design for a sustained assessment of climate forcings and feedbacks on land use land cover change

Land use and land cover change (LULCC) significantly influences the climate system. Hence, to prepare the nation for future climate change and variability, a sustained assessment of LULCC and its climatic impacts needs to be undertaken. To address this objective, not only do we need to determine contemporary trends in land use and land cover that affect, or are affected by, weather and...
Authors
Thomas Loveland, Rezaul Mahmood

Evapotranspiration variability and its association with vegetation dynamics in the Nile Basin, 2002–2011 Evapotranspiration variability and its association with vegetation dynamics in the Nile Basin, 2002–2011

Evapotranspiration (ET) is a vital component in land-atmosphere interactions. In drylands, over 90% of annual rainfall evaporates. The Nile Basin in Africa is about 42% dryland in a region experiencing rapid population growth and development. The relationship of ET with climate, vegetation and land cover in the basin during 2002–2011 is analyzed using thermal-based Simplified Surface...
Authors
Henok Alemu, Gabriel B. Senay, Armel T. Kaptue, Valeriy Kovalskyy

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
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