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
Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data
There are many types of changes occurring over the Earth's landscapes that can be detected and monitored using Landsat data. Here we focus on monitoring “within-state,” gradual changes in vegetation in contrast with traditional monitoring of “abrupt” land-cover conversions. Gradual changes result from a variety of processes, such as vegetation growth and succession, damage from insects and disease
Authors
James Vogelmann, Alisa L. Gallant, Hua Shi, Zhe Zhu
Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative
The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative is a
new end-to-end capability to continuously track and characterize changes in land cover, use, and condition
to better support research and applications relevant to resource management and environmental
change. Among the LCMAP product suite are annual land cover maps that will be available to the
Authors
Zhe Zhu, Alisa L. Gallant, Curtis Woodcock, Bruce Pengra, Pontus Olofsson, Thomas R. Loveland, Suming Jin, Devendra Dahal, Limin Yang, Roger F. Auch
Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis
This paper presents the methodology and results of two ecological-based net ecosystem production (NEP) regression tree models capable of up scaling measurements made at various flux tower sites throughout the U.S. Great Plains. Separate grassland and cropland NEP regression tree models were trained using various remote sensing data and other biogeophysical data, along with 15 flux towers contribut
Authors
Bruce K. Wylie, Daniel Howard, Devendra Dahal, Tagir Gilmanov, Lei Ji, Li Zhang, Kelcy Smith
An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data
Regression tree models have been widely used for remote sensing-based ecosystem mapping. Improper use of the sample data (model training and testing data) may cause overfitting and underfitting effects in the model. The goal of this study is to develop an optimal sampling data usage strategy for any dataset and identify an appropriate number of rules in the regression tree model that will improve
Authors
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Joshua J. Picotte, Danny Howard, Kelcy Smith, Kurtis Nelson
A cellular automata downscaling based 1 km global land use datasets (2010–2100)
Global climate and environmental change studies require detailed land-use and land-cover(LULC) information about the past, present, and future. In this paper, we discuss a methodology for downscaling coarse-resolution (i.e., half-degree) future land use scenarios to finer (i.e., 1 km) resolutions at the global scale using a grid-based spatially explicit cellular automata (CA) model. We account for
Authors
Xuecao Li, Le Yu, Terry L. Sohl, Nicholas Clinton, Wenyu Li, Zhiliang Zhu, Xiaoping Liu, Peng Gong
The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?
This paper discusses the challenges and benefits of the Grand Ethiopian Renaissance Dam (GERD), which is under construction and expected to be operational on the Blue Nile River in Ethiopia in a few years. Like many large-scale projects on transboundary rivers, the GERD has been criticized for potentially jeopardizing downstream water security and livelihoods through upstream unilateral decision m
Authors
Meron Teferi Taye, Tsegaye Tadesse, Gabriel Senay, Paul Block
Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia
A number of studies have reported the presence of wheat septoria leaf blotch (Septoria tritici; SLB) disease in Ethiopia. However, the environmental factors associated with SLB disease, and areas under risk of SLB disease, have not been studied. Here, we tested the hypothesis that environmental variables can adequately explain observed SLB disease severity levels in West Shewa, Central Ethiopia. S
Authors
Tewodros Wakie, Sunil Kumar, Gabriel Senay, Abera Takele, Alemu Lencho
Effect of land cover change on snow free surface albedo across the continental United States
Land cover changes (e.g., forest to grassland) affect albedo, and changes in albedo can influence radiative forcing (warming, cooling). We empirically tested albedo response to land cover change for 130 locations across the continental United States using high resolution (30 m-×-30 m) land cover change data and moderate resolution (~ 500 m-×-500 m) albedo data. The land cover change data spanned 1
Authors
J. Wickham, M.S. Nash, Christopher A. Barnes
Landsat 8: The plans, the reality, and the legacy
Landsat 8, originally known as the Landsat Data Continuity Mission (LDCM), is a National Aeronautics and Space Administration (NASA)-U.S. Geological Survey (USGS) partnership that continues the legacy of continuous moderate resolution observations started in 1972. The conception of LDCM to the reality of Landsat 8 followed an arduous path extending over nearly 13 years, but the successful launch o
Authors
Thomas R. Loveland, James R. Irons
Differential heating in the Indian Ocean differentially modulates precipitation in the Ganges and Brahmaputra basins
Indo-Pacific sea surface temperature dynamics play a prominent role in Asian summer monsoon variability. Two interactive climate modes of the Indo-Pacific—the El Niño/Southern Oscillation (ENSO) and the Indian Ocean dipole mode—modulate the amount of precipitation over India, in addition to precipitation over Africa, Indonesia, and Australia. However, this modulation is not spatially uniform. The
Authors
Md Shahriar Pervez, Geoffrey M. Henebry
Community for Data Integration 2015 annual report
The Community for Data Integration (CDI) continued to experience success in fiscal year 2015. The CDI community members have been sharing, learning, and collaborating through monthly forums, workshops, working groups, and funded projects. In fiscal year 2015, CDI coordinated 10 monthly forums with 16 different speakers from the U.S. Geological Survey and external partners; funded 11 collaborative
Authors
Madison L. Langseth, Michelle Y. Chang, Jennifer Carlino, J. Ryan Bellmore, Daniella D. Birch, Joshua Bradley, R. Sky Bristol, Daniel D. Buscombe, Jeffrey J. Duda, Anthony L. Everette, Tabitha A. Graves, Michelle M. Greenwood, David L. Govoni, Heather S. Henkel, Vivian B. Hutchison, Brenda K. Jones, Tim Kern, Jennifer Lacey, Rynn M. Lamb, Frances L. Lightsom, John L. Long, Ra'ad A. Saleh, Stan W. Smith, Christopher E. Soulard, Roland J. Viger, Jonathan A. Warrick, Katherine E. Wesenberg, Daniel J. Wieferich, Luke A. Winslow
Mapping annual forest cover in sub-humid and semi-arid regions through analysis of landsat and PALSAR imagery
Accurately mapping the spatial distribution of forests in sub-humid to semi-arid regions over years is a challenging task and causes difficulty to forest management. Relatively large uncertainties still exist in the spatial distribution of forests and deforestation in the sub-humid and semi-arid regions. Numerous publications have used either optical or synthetic aperture radar (SAR) remote sensin
Authors
Yuanwei Qin, Xiangming Xiao, Jie Wang, Jinwei Dong, Kayti Ewing, Bruce Hoagland, Daniel J Hough, Todd D Fagin, Zhenhua Zou, George L. Geissler, George Z. Xian, Thomas Loveland