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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: 2442

Productivity and CO2 exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates

The shortgrass steppe (SGS) occupies the southwestern part of the Great Plains. Half of the land is cultivated, but significant areas remain under natural vegetation. Despite previous studies of the SGS carbon cycle, not all aspects have been completely addressed, including gross productivity, ecosystem respiration, and ecophysiological parameters. Our analysis of 1998 − 2007 flux tower measuremen
Authors
Tagir G. Gilmanov, Jack A. Morgan, Niall P. Hanan, Bruce K. Wylie, Nithya Rajan, David P. Smith, Daniel M. Howard

The evolution, approval and implementation of the U.S. Geological Survey Science Data Lifecycle Model

This paper details how the United States Geological Survey (USGS) Community for Data Integration (CDI) Data Management Working Group developed a Science Data Lifecycle Model, and the role the Model plays in shaping agency-wide policies. Starting with an extensive literature review of existing data Lifecycle models, representatives from various backgrounds in USGS attended a two-day meeting where t
Authors
John Faundeen, Vivian B. Hutchison

Estimating carbon and showing impacts of drought using satellite data in regression-tree models

Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large geographic spaces, allowing a better understanding of broad-scale ecosystem processes. The current study presents annual gross primary production (GPP) and annual ecosystem respiration (RE) for 2000–2013 in several short-statured vegetatio
Authors
Stephen P. Boyte, Bruce K. Wylie, Danny Howard, Devendra Dahal, Tagir G. Gilmanov

How similar are forest disturbance maps derived from different Landsat time series algorithms?

Disturbance is a critical ecological process in forested systems, and disturbance maps are important for understanding forest dynamics. Landsat data are a key remote sensing dataset for monitoring forest disturbance and there recently has been major growth in the development of disturbance mapping algorithms. Many of these algorithms take advantage of the high temporal data volume to mine subtle s
Authors
Warren B. Cohen, Sean P. Healey, Zhiqiang Yang, Stephen V. Stehman, C. Kenneth Brewer, Evan B. Brooks, Noel Gorelick, Chengquan Huang, M. Joseph Hughes, Robert E. Kennedy, Thomas Loveland, Gretchen G. Moisen, Todd A. Schroeder, James Vogelmann, Curtis E. Woodcock, Limin Yang, Zhe Zhu

Woody vegetation die off and regeneration in response to rainfall variability in the west African Sahel

The greening in the Senegalese Sahel has been linked to an increase in net primary productivity, with significant long-term trends being closely related to the woody strata. This study investigates woody plant growth and mortality within greening areas in the pastoral areas of Senegal, and how these dynamics are linked to species diversity, climate, soil and human management. We analyse woody cove
Authors
Martin Brandt, G. Gray Tappan, Abdoul Aziz Diouf, Gora Beye, Cheikh Mbow, Rasmus Fensholt

Annual estimates of recharge, quick-flow runoff, and ET for the contiguous U.S. using empirical regression equations

This study presents new data-driven, annual estimates of the division of precipitation into the recharge, quick-flow runoff, and evapotranspiration (ET) water budget components for 2000-2013 for the contiguous United States (CONUS). The algorithms used to produce these maps ensure water budget consistency over this broad spatial scale, with contributions from precipitation influx attributed to eac
Authors
Meredith Reitz, Ward E. Sanford, Gabriel Senay, J. Cazenas

Landsat-8 TIRS thermal radiometric calibration status

The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the errors, 0.87K and 1.67K (1-σ), respectively. The
Authors
Julia A. Barsi, Brian L. Markham, Matthew Montanaro, Aaron Gerace, Simon Hook, John R. Schott, Nina G. Raqueno, Ron Morfitt

Assessment of forest degradation in Vietnam using Landsat time series data

Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses concentrated on the timeframe of 1973–2014, with much emphasis on the latter part of that range. We conducted a field trip through Lam Dong Province to develop a bet
Authors
James Vogelmann, Phung Van Khoa, Do Xuan Lan, Jacob S. Shermeyer, Hua Shi, Michael C. Wimberly, Hoang Tat Duong, Le Van Huong

Statistical relative gain calculation for Landsat 8

The Landsat 8 Operational Land Imager (OLI) is an optical multispectral push-broom sensor with a focal plane consisting of over 7000 detectors per spectral band. Each of the individual imaging detectors contributes one column of pixels to an image. Any difference in the response between neighboring detectors may result in a visible stripe or band in the imagery. An accurate estimate of each detect
Authors
Cody Anderson, Dennis Helder, Drake Jeno (CTR)

Celebrating ten years of collaboration

Since the GEOSUR Program launched in 2007, the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has had the honor of collaborating with CAF, PAIGH, and others supporting the Latin America GEOSUR Program. The catalyst for starting the program was the convergence of regional geospatial activities USGS, PAIGH, and CAF had been involved in and they seized the opportu
Authors
W. Matthew Cushing

Historical and projected trends in landscape drivers affecting carbon dynamics in Alaska

Modern climate change in Alaska has resulted in widespread thawing of permafrost, increased fire activity, and extensive changes in vegetation characteristics that have significant consequences for socioecological systems. Despite observations of the heightened sensitivity of these systems to change, there has not been a comprehensive assessment of factors that drive ecosystem changes throughout A
Authors
Neal J. Pastick, Paul A. Duffy, Hélène Genet, T. Scott Rupp, Bruce K. Wylie, Kristofer Johnson, M. Torre Jorgenson, Norman B. Bliss, Anthony D. McGuire, Elchin Jafarov, Joseph F. Knight

Partitioning evapotranspiration into green and blue water sources in the conterminous United States

In this study, we combined two 1 km actual evapotranspiration datasets (ET), one obtained from a root zone water balance model and another from an energy balance model, to partition annual ET into green (rainfall-based) and blue (surface water/groundwater) sources. Time series maps of green water ET (GWET) and blue water ET (BWET) are produced for the conterminous United States (CONUS) over 2001–2
Authors
Naga Manohar Velpuri, Gabriel B. Senay