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: 2456
Tracking change over time: River flooding
Landsat satellites have been capturing images of Earth from space since 1972. These images provide a long-term record of natural and human-induced changes on the global landscape. Comparing images from multiple years reveals slow and subtle changes as well as rapid and devastating ones. Landsat images are available from the Internet at no charge. Using the free software MultiSpec, students can tra
Authors
Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture
Over 22 million hectares (ha) of U.S. croplands are irrigated. Irrigation is an intensified agricultural land use that increases crop yields and the practice affects water and energy cycles at, above, and below the land surface. Until recently, there has been a scarcity of geospatially detailed information about irrigation that is comprehensive, consistent, and timely to support studies tying agri
Authors
Jesslyn F. Brown, Md Shahriar Pervez
The long-term trends (1982-2006) in vegetation greenness of the alpine ecosystem in the Qinghai-Tibetan Plateau
The increased rate of annual temperature in the Qinghai-Tibetan Plateau exceeded all other areas of the same latitude in recent decades. The influence of the warming climate on the alpine ecosystem of the plateau was distinct. An analysis of alpine vegetation under changes in climatic conditions was conducted in this study. This was done through an examination of vegetation greenness and its relat
Authors
Li Zhang, Huadong Guo, Cuizhen Wang, Lei Ji, Jing Li, Kun Wang, Lin Dai
Comparing cropland net primary production estimates from inventory, a satellite-based model, and a process-based model in the Midwest of the United States
Accurately quantifying the spatial and temporal variability of net primary production (NPP) for croplands is essential to understand regional cropland carbon dynamics. We compared three NPP estimates for croplands in the Midwestern United States: inventory-based estimates using crop yield data from the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service (NASS); estimates
Authors
Zhengpeng Li, Shuguang Liu, Zhengxi Tan, Norman B. Bliss, Claudia J. Young, Tristram O. West, Stephen M. Ogle
Landsat-8: Science and product vision for terrestrial global change research
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared. Landsat 8 extends the remarkable 40 year Landsat record and has enhanced capabilities including new spectral bands in the blue and cirrus cloud-detection portion of the spectrum, two thermal bands, i
Authors
David P. Roy, M.A. Wulder, Thomas R. Loveland, C. E. Woodcock, R. G. Allen, M. C. Anderson, D. Helder, J. R. Irons, D.M. Johnson, R. Kennedy, T. A. Scambos, Crystal B. Schaaf, J. R. Schott, Y. Sheng, E. F. Vermote, A.S. Belward, R. Bindschadler, W.B. Cohen, F. Gao, J. D. Hipple, Patrick Hostert, J. Huntington, C.O. Justice, A. Kilic, Valeriy Kovalskyy, Z. P. Lee, Leo Lymburner, J. G. Masek, Joel McCorkel, Y. Shuai, R. Trezza, James Vogelmann, R.H. Wynne, Z. Zhu
ASPRS research on quantifying the geometric quality of lidar data
The ASPRS Lidar Cal/Val (calibration/validation) Working Group led by the US Geological Survey (USGS) to establish “Guidelines on Geometric Accuracy and Quality of Lidar Data” has made excellent progress via regular teleconferences and meetings. The group is focused on identifying data quality metrics and establishing a set of guidelines for quantifying the quality of lidar data. The working group
Authors
Aparajithan Sampath, Hans K. Heidemann, Gregory L. Stensaas, Jon Christopherson
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
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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
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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