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: 2018

Landsat benefiting society for fifty years

Since 1972, data acquired by the Landsat series of satellites have become integral to land management for both government and the private sector, providing scientists and decision makers with key information about agricultural productivity, ice sheet dynamics, urban growth, forest monitoring, natural resource management, water quality, and...

Rocchio, Laura E. P.; Connot, Peggy; Young, Steve; Ramsayer, Kate; Owen, Linda; Bouchard, Michelle; Barnes, Christopher

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Year Published: 2018

Best practices for elevation-based assessments of sea-level rise and coastal flooding exposure

Elevation data are critical for assessments of sea-level rise (SLR) and coastal flooding exposure. Previous research has demonstrated that the quality of data used in elevation-based assessments must be well understood and applied to properly model potential impacts. The cumulative vertical uncertainty of the input elevation data substantially...

Gesch, Dean B.

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Year Published: 2018

Analysis Ready Data: Enabling analysis of the Landsat archive

Data that have been processed to allow analysis with a minimum of additional user effort are often referred to as Analysis Ready Data (ARD). The ability to perform large scale Landsat analysis relies on the ability to access observations that are geometrically and radiometrically consistent, and have had non-target features (clouds) and poor...

Dwyer, John L.; Roy, David P.; Sauer, Brian; Jenkerson, Calli B.; Zhang, Hankui K.; Lymburner, Leo

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Year Published: 2018

The National Elevation Dataset

The National Elevation Dataset (NED) is a primary elevation data product that has been produced and distributed by the U.S. Geological Survey (USGS). Since its inception, the USGS has compiled and published topographic information in many forms, and the NED is a significant development in this long line of products that describe the land surface....

Gesch, Dean B.; Evans, Gayla A.; Oimoen, Michael J.; Arundel, Samantha
Gesch, D.B., Evans, G.A., Oimoen, M.J., and Arundel, S.T., 2018, The National Elevation Dataset, in Maune, D., and Nayegandhi, A., eds., Digital Elevation Model Technologies and Applications: The DEM Users Manual, 3rd Edition: Bethesda, Maryland, American Society for Photogrammetry and Remote Sensing, p. 83-110.

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Year Published: 2018

Optimizing a remote sensing production efficiency model for macro-scale GPP and yield estimation in agroecosystems

Earth observation data are increasingly used to provide consistent eco-physiological information over large areas through time. Production efficiency models (PEMs) estimate Gross Primary Production (GPP) as a function of the fraction of photosynthetically active radiation absorbed by the canopy, which is derived from Earth observation....

Marshall, Michael; Tu, Kevin; Brown, Jesslyn

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Year Published: 2018

Geospatial data mining for digital raster mapping

We performed an in-depth literature survey to identify the most popular data mining approaches that have been applied for raster mapping of ecological parameters through the use of Geographic Information Systems (GIS) and remotely sensed data. Popular data mining approaches included decision trees or “data mining” trees which consist of regression...

Wylie, Bruce K.; Pastick, Neal J.; Picotte, Joshua J.; Deering, Carol
Bruce K. Wylie, Neal J. Pastick, Joshua J. Picotte & Carol A. Deering (2018):Geospatial data mining for digital raster mapping, GIScience & Remote https://doi.org/10.1080/15481603.2018.1517445 Published online: 14 Sep 2018.

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Year Published: 2018

Earth as art 5

Fanciful Fluorescence. Lurking Madness. Serene Expressions.The titles of the images in this fifth edition of Earth As Art speak to the powerfully artistic qualities of Earth’s natural features when tinged with unnatural colors.Art serves as a great partner in the communication of science, bringing emotion to the pursuit of understanding. The...

U.S. Geological Survey, 2018, Earth as art 5 (ver 1.1, November 2018): U.S. Geological Survey General Information Product 186, 32 p., https://doi.org/10.3133/gip186.

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Year Published: 2018

Drought and land-cover conditions in the Great Plains

Land–atmosphere interactions play a critical role in the Earth system, and a better understanding of these interactions could improve weather and climate models. The interaction among drought, vegetation productivity, and land cover is of particular significance. In a semiarid environment, such as the U.S. Great Plains, droughts can have a large...

Tollerud, Heather; Brown, Jesslyn; Loveland, Thomas; Mahmood, Rezaul; Bliss, Norman B.

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Year Published: 2018

U.S. Landsat Analysis Ready Data

U.S. Landsat Analysis Ready Data (ARD) are a revolutionary new U.S. Geological Survey science product that allows the Landsat archive to be more accessible and easier to analyze and reduces the amount of time users spend on data processing for monitoring and assessing landscape change. U.S. Landsat ARD are Level-2 products derived from...

U.S. Geological Survey, 2018, U.S. Landsat Analysis Ready Data: U.S. Geological Survey Fact Sheet 2018–3053, 2 p., https://doi.org/10.3133/fs20183053.

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Year Published: 2018

Priority questions in multidisciplinary drought research

Addressing timely and relevant questions across a multitude of spatio-temporal scales, state-of-the-art interdisciplinary drought research will likely increase in importance under projected climate change. Given the complexity of the various direct and indirect causes and consequences of a drier world, scientific tasks need to be coordinated...

Trnka, Miroslav; Hayes, Michael; Jurečka, František; Bartošová, Lenka; Anderson, Martha; Brázdil, Rudolf; Brown, Jesslyn; Camarero, Jesus J.; Cudlín, Pavel; Dobrovolný, Petr; Eitzinger, Josef; Feng, Song; Finnessey, Taryn; Gregorič, Gregor; Havlik, Petr; Hain, Christopher; Holman, Ian; Johnson, David; Kersebaum, Kurt Christian; Charpentier Ljungqvist, Fredrik; Luterbacher, Jürg; Micale, Fabio; Hartl-Meier, Claudia; Možný, Martin; Nejedlik, Pavol; Eivind Olesen, Jørgen; Ruiz-Ramos, Margarita; Rötter, Reimund P.; Senay, Gabriel; Vicente-Serrano, Sergio M.; Svoboda, Mark; Susnik, Andreja; Tadesse, Tsegaye; Vizina, Adam; Wardlow, Brian D.; Žalud, Zdeněk; Büntgen, Ulf

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Year Published: 2018

Landsat Collections

In 2016, the U.S. Geological Survey reorganized the Landsat archive into a tiered collection structure, which ensures that Landsat Level-1 products provide a consistent archive of known data quality to support time-series analyses and data “stacking” while controlling continuous improvement of the archive and access to all data as they are...

U.S. Geological Survey, 2018, Landsat collections: U.S. Geological Survey Fact Sheet 2018–3049, 2 p., https://doi.org/10.3133/fs20183049.

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Year Published: 2018

Quantifying variance across spatial scales as part of fire regime classifications

The emergence of large‐scale fire classifications and products informed by remote sensing data has enabled opportunities to include variability or heterogeneity as part of modern fire regime classifications. Currently, basic fire metrics such as mean fire return intervals are calculated without considering spatial variance in a management context...

Rheinhardt, Scholtz; Fuhlendorf, Samuel D.; Leis, Sherry A.; Picotte, Joshua J.; Twidwell, Dirac
Scholtz, R., S. D. Fuhlendorf, S. A. Leis, J. J. Picotte, and D. Twidwell. 2018. Quantifying variance across spatial scales as part of fire regime classifications. Ecosphere 9(7):e02343. 10.1002/ecs2.2343