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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: 2622

Analyzing vegetation change in a sagebrush ecosystem using long-term field observations and Landsat imagery in Wyoming Analyzing vegetation change in a sagebrush ecosystem using long-term field observations and Landsat imagery in Wyoming

The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This research focuses on ecological change observed over 10 yr of field observation at 126 plots and over 35 yr of the Landsat archive in a shrubland ecosystem. Field data consisting of the fractional cover of shrubs, sagebrush, herbs, litter, and...
Authors
Hua Shi, Collin Homer, Matthew B. Rigge, Kory Postma, George Z. Xian

The new Landsat Collection-2 Digital Elevation Model The new Landsat Collection-2 Digital Elevation Model

The Landsat Collection-2 distribution introduces a new global Digital Elevation Model (DEM) for scene orthorectification. The new global DEM is a composite of the latest and most accurate freely available DEM sources and will include reprocessed Shuttle Radar Topographic Mission (SRTM) data (called NASADEM), high-resolution stereo optical data (ArcticDEM), a new National Elevation...
Authors
Shannon Franks, James C. Storey, Rajagopalan Rengarajan

Landscape and climatic influences on actual evapotranspiration and available water using the Operational Simplified Surface Energy Balance (SSEBop) Model in eastern Bernalillo County, New Mexico, 2015 Landscape and climatic influences on actual evapotranspiration and available water using the Operational Simplified Surface Energy Balance (SSEBop) Model in eastern Bernalillo County, New Mexico, 2015

The U.S. Geological Survey, in cooperation with the Bernalillo County Public Works Division, conducted a 1-year study in 2015 to assess the spatial and temporal distribution of evapotranspiration (ET) and available water within the East Mountain area in Bernalillo County, New Mexico. ET and available water vary spatiotemporally because of complex interactions among environmental factors...
Authors
Kyle R. Douglas-Mankin, Ryan J. McCutcheon, Aurelia C. Mitchell, Gabriel B. Senay

Using remote sensing products to predict recovery of vegetation across space and time following energy development Using remote sensing products to predict recovery of vegetation across space and time following energy development

Using localized studies to understand how ecosystems recover can create uncertainty in recovery predictions across landscapes. Large archives of remote sensing data offer opportunities for quantifying the spatial and temporal factors influencing recovery at broad scales and predicting recovery. For example, energy production is a widespread and expanding land use among many semi-arid...
Authors
Adrian P. Monroe, Cameron L. Aldridge, Michael S. O’Donnell, Daniel Manier, Collin Homer, Patrick J. Anderson

Seasonality of biological and physical systems as indicators of climatic variation and change Seasonality of biological and physical systems as indicators of climatic variation and change

Evidence-based responses to climate change by society require operational and sustained information including biophysical indicator systems that provide up-to-date measures of trends and patterns against historical baselines. Two key components linking anthropogenic climate change to impacts on socio-ecological systems are the periodic inter- and intra-annual variations in physical...
Authors
Jake Weltzin, Julio L. Betancourt, Benjamin I. Cook, Theresa Crimmins, Carolyn Armstrong Enquist, Michael D. Gerst, JE Gross, GM Henebry, RA Hufft, Melissa A. Kenney, John S. Kimball, Bradley C. Reed, SW Running

On the robustness of annual daily precipitation maxima estimates over Monsoon Asia On the robustness of annual daily precipitation maxima estimates over Monsoon Asia

Understanding precipitation extremes over Monsoon Asia is vital for water resource management and hazard mitigation, but there are many gaps and uncertainties in observations in this region. To better understand observational uncertainties, this study uses a high-resolution validation dataset to assess the consistency of the representation of annual daily precipitation maxima (Rx1day)...
Authors
Phuong-Loan Nguyen, Margot Bador, Lisa Alexander, Todd P. Lane, Chris Funk

Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data

Crop phenology represents an integrative indicator of climate change and plays a vital role in terrestrial carbon dynamics and sustainable agricultural development. However, spatiotemporal variations of crop phenology remain unclear at large scales. This knowledge gap has hindered our ability to realistically quantify the biogeochemical dynamics in agroecosystems, predict future climate...
Authors
Yanjun Yang, Wei Ren, Bo Tao, Lei Ji, Liang Liang, Alex C. Ruran, J. B. Fisher, Jiangui Liu, Michael Sama, Zhe Li, Qingjiu Tian

A novel approach for next generation water use mapping using Landsat and Sentinel-2 satellite data A novel approach for next generation water use mapping using Landsat and Sentinel-2 satellite data

Evapotranspiration (ET) is needed in a range of applications in hydrology, climatology, ecology, and agriculture. Remote sensing-based estimation is the only viable and economical method for ET estimation over large areas. The current Landsat satellites provide images every 16 days limiting the ability to capture biophysical changes affecting ET. Thus, we explored the potential...
Authors
Ramesh Singh, Kul Bikram Khand, Stefanie Kagone, Matthew Schauer, Gabriel Senay, Zhuoting Wu

Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing

Across the Central Valley of California, millions of wintering waterfowl rely on moist soil seed (MSS) plants that grow in managed seasonal wetlands as a critical source of food. Estimates of MSS plant production are used to set waterfowl habitat targets yet this information is not well known. We created the first Central Valley-wide time series maps of MSS plant distributions and...
Authors
Kristin B. Byrd, Austen Lorenz, James Anderson, Cynthia Wallace, Kara Moore-O'Leary, Jennifer Isola, Ricardo Ortega, Matt Reiter

Harmonizing the Landsat ground reference with the Sentinel-2 Global Reference Image using space-based bundle adjustment Harmonizing the Landsat ground reference with the Sentinel-2 Global Reference Image using space-based bundle adjustment

There is an ever-increasing need to use accurate and consistent geometric ground reference in the processing of remotely sensed data products as it reduces the burden on the end-users to account for the differences between the data products from different missions. In this regard, United States Geological Survey (USGS) initiated an effort to harmonize the Landsat ground reference with...
Authors
Rajagopalan Rengarajan, James C. Storey, Michael J. Choate
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