Earth Resources Observation and Science (EROS) Center

Publications

Below is a list of 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. After selecting any set of these criteria, click "Apply Filter" to view the search results.

Filter Total Items: 1,750
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Year Published: 2016

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...

Vogelmann, James; Gallant, Alisa L.; Shi, Hua; Zhu, Zhe

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Year Published: 2016

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...

Wylie, Bruce K.; Howard, Daniel; Dahal, Devendra; Gilmanov, Tagir; Ji, Lei; Zhang, Li; Smith, Kelcy
Wylie, B.K., Howard, D.M., Dahal, D., Gilmanov, T.G., Ji, L., Zhang, L., and Smith, K., 2016, Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis: Remote Sensing, v. 8, no. 11, article number 944, at http://dx.doi.org/10.3390/rs8110944

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Year Published: 2016

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...

Gu, Yingxin; Wylie, Bruce K.; Boyte, Stephen P.; Picotte, Joshua J.; Howard, Danny; Smith, Kelcy; Nelson, Kurtis
Gu, Yingxin; Wylie, Bruce K.; Boyte, Stephen P.; Picotte, Joshua; Howard, Daniel M.; Smith, Kelcy; Nelson, Kurtis J. 2016. "An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data." Remote Sens. 8, no. 11: 943.

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Year Published: 2016

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...

Li, Xuecao; Yu, Le; Sohl, Terry L.; Clinton, Nicholas; Li, Wenyu; Zhu, Zhiliang; Liu, Xiaoping; Gong, Peng

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Year Published: 2016

Differential heating in the Indian Ocean differentially modulates precipitation in the Ganges and Brahmaputra Basins

This dataset provides an assessment of the differential heating in the Indian Ocean (IO) and the subsequent modulation of the Ganges and Brahmaputra precipitation. Indo-Pacific sea surface temperature dynamics play a prominent role in Asian summer monsoon variability. Using 28 years of remote sensing observations, we demonstrate that (i) the...

Pervez, Shahriar; Henebry, Geoffrey M.
Pervez, M.S., and Henebry, G.M., 2016, Differential heating in the Indian Ocean differentially modulates precipitation in the Ganges and Brahmaputra basins: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F77P8WH6.

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Year Published: 2016

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 (~...

Wickham, J.; Nash, M.S.; Barnes, Christopher A.
Wickham J, Nash MS, Barnes CA (2016). Effect of land cover change on snow free surface albedo across the continental United States. Global and Planetary Change 146:1-9

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Year Published: 2016

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...

Loveland, Thomas R.; Irons, James R.

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Year Published: 2016

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...

Wakie, Tewodros; Kumar, Sunil; Senay, Gabriel; Takele, Abera; Lencho, Alemu

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Year Published: 2016

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...

Teferi Taye, Meron; Tadesse, Tsegaye; Senay, Gabriel; Block, Paul

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Year Published: 2016

West Africa land use land cover time series

The West Africa Land Use Dynamics Project provides AGRHYMET and its 17 participating countries a comprehensive two-kilometer (2-km) resolution land use land cover (LULC) dataset of the region for three time periods; 1975, 2000, and 2013. Hundreds of Landsat images were visually interpreted to develop a 2-km LULC dataset for each of the three time...

Tappan, G. Gray; Cushing, W. Matthew; Cotillon, Suzanne E.; Mathis, Melissa L.; Hutchinson, John A.; Dalsted, K. J.
Tappan, G. G., Cushing, W.M., Cotillon, S.E. and Herrmann, S., 2016 West Africa Land Use Land Cover Time Series: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F73N21JF

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Year Published: 2016

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....

Pervez, Md Shahriar; Henebry, Geoffrey M.
Pervez, M.S., and Henebry, G.M., 2016. Differential heating in the Indian Ocean differentially modulates precipitation in the Ganges and Brahmaputra basins. Remote Sens. 2016, 8(11), 901; doi: 10.3390/rs8110901

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Year Published: 2016

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...

Langseth, Madison L.; Chang, Michelle Y.; Carlino, Jennifer; Bellmore, J. Ryan; Birch, Daniella D.; Bradley, Joshua; Bristol, R. Sky; Buscombe, Daniel D.; Duda, Jeffrey J.; Everette, Anthony L.; Graves, Tabitha A.; Greenwood, Michelle M.; Govoni, David L.; Henkel, Heather S.; Hutchison, Vivian B.; Jones, Brenda K.; Kern, Tim; Lacey, Jennifer; Lamb, Rynn M.; Lightsom, Frances L.; Long, John L.; Saleh, Ra'ad A.; Smith, Stan W.; Soulard, Christopher E.; Viger, Roland J.; Warrick, Jonathan A.; Wesenberg, Katherine E.; Wieferich, Daniel J.; Winslow, Luke A.
Langseth, M.L., Chang, M.Y., Carlino, Jennifer, Bellmore, J.R., Birch, D.D., Bradley, Joshua, Bristol, R.S., Buscombe, D.D., Duda, J.J., Everette, A.L., Graves, T.A., Greenwood, M.M., Govoni, H.S., Henkel, H.S., Hutchison, V.B., Jones, B.K., Kern, Tim, Lacey, Jennifer, Lamb, R.M., Lightsom, F.L., Long, J.L., Saleh, R.A., Smith, S.W., Soulard, C.E., Viger, R.J., Warrick, J.A., Wesenberg, K.E., Wieferich, D.J., and Winslow, L.A., 2016, Community for Data Integration 2015 annual report: U.S. Geological Survey Open-File Report 2016–1165, 57 p., http://dx.doi.org/10.3133/ofr20161165.