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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: 2573

ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2022 ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2022

Executive SummaryThe U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat...
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Md Nahid Hasan, Ashish Shrestha, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Alex Denevan, Shannon Franks, Esad Micijevic, Mike Choate, Cody Anderson, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Jeff Miller

Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States

The National Land Cover Database (NLCD), a product suite produced through the MultiResolution Land Characteristics (MRLC) consortium, is an operational land cover monitoring program. Starting from a base year of 2001, NLCD releases a land cover database every 2–3-years. The recent release of NLCD2019 extends the database to 18 years. We implemented a stratified random sample to collect...
Authors
James Wickham, Stephen V. Stehman, Daniel G. Sorenson, Leila Gass, Jon Dewitz

Improving temporal frequency of Landsat surface temperature products using the gap-filling algorithm Improving temporal frequency of Landsat surface temperature products using the gap-filling algorithm

Remotely sensed surface temperature (ST) has been widely used to monitor and assess landscape thermal conditions, hydrologic modeling, and surface energy balance. Landsat thermal sensors have continuously measured the Earth surface thermal radiance since August 1982. The thermal radiance measurements are atmospherically compensated and converted to Landsat STs and delivered as part of...
Authors
George Z. Xian, Hua Shi, Saeed Arab, Chase Mueller, Reza Hussain, Kristi Sayler, Danny Howard

Evaluation of Landsat image compositing algorithms Evaluation of Landsat image compositing algorithms

We proposed a new image compositing algorithm (MAX-RNB) based on the maximum ratio of Near Infrared (NIR) to Blue band (RNB), and evaluated it together with nine other compositing algorithms: MAX-NDVI (maximum Normalized Difference Vegetation Index), MED-NIR (median NIR band), WELD (conterminous United States Web-Enabled Landsat Data), BAP (Best Available Pixel), PAC (Phenology Adaptive...
Authors
Shi Qiu, Zhe Zhu, Pontus Olofsson, Curtis Woodcock, Suming Jin

Toward consistent change detection across irregular remote sensing time series observations Toward consistent change detection across irregular remote sensing time series observations

The use of remote sensing in time series analysis enables wall-to-wall monitoring of the land surface and is critical for assessing and understanding land cover and land use change and for understanding the Earth system as a whole. However, variability in remote sensing observation frequency through time and across space presents challenges for producing consistent change detection...
Authors
Heather J. Tollerud, Zhe Zhu, Kelcy Smith, Danika F. Wellington, Reza Hussain, Donna Viola

Where forest may not return in the western United States Where forest may not return in the western United States

Droughts that are hotter, more frequent, and last longer; pest outbreaks that are more extensive and more common; and fires that are more frequent, more extensive, and perhaps more severe have raised concern that forests in the western United States may not return once disturbed by one or more of these agents. Numerous field-based studies have been undertaken to better understand forest...
Authors
James Wickham, Anne Neale, Kurt H. Riitters, Maliha Nash, Jon Dewitz, Suming Jin, Megan van Fossen, D Rosenbaum

National Land Cover Database 2019: A comprehensive strategy for creating the 1986-2019 forest disturbance product National Land Cover Database 2019: A comprehensive strategy for creating the 1986-2019 forest disturbance product

The National Land Cover Database (NLCD) 2016 products show that, between 2001 and 2016, nearly half of the land cover change in the conterminous United States (CONUS) involved forested areas. To ensure the quality of NLCD land cover and land cover change products, it is important to accurately detect the location and time of forest disturbance. We designed a comprehensive strategy to...
Authors
Suming Jin, Jon Dewitz, Congcong Li, Daniel G. Sorenson, Zhe Zhu, Rakibul Shogib, Patrick Danielson, Brian Granneman, Catherine Costello, Adam Case, Leila Gass

Rangeland Condition Monitoring Assessment and Projection, 1985–2021 Rangeland Condition Monitoring Assessment and Projection, 1985–2021

The Rangeland Condition Monitoring Assessment and Projection (RCMAP) project quantifies the percentage cover of rangeland components across the western United States using Landsat imagery from 1985 to 2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, nonsagebrush shrub, perennial herbaceous, sagebrush, shrub, and...
Authors
Matthew B. Rigge

Trends in tree cover change over three decades related to interannual climate variability and wildfire in California Trends in tree cover change over three decades related to interannual climate variability and wildfire in California

The U.S. State of California has experienced frequent drought events, hotter temperatures and other disruptions to the climate system whose effects on ecosystems have been widely reported in recent decades. Studies primarily confined to specific vegetation communities or species, individual drought incidents, or analysis over a relatively short intervals, has limited our understanding of...
Authors
Francis K Dwomoh, Roger F. Auch, Jesslyn F. Brown, Heather J. Tollerud

A multimodal data fusion and deep learning framework for large-scale wildfire surface fuel mapping A multimodal data fusion and deep learning framework for large-scale wildfire surface fuel mapping

Accurate estimation of fuels is essential for wildland fire simulations as well as decision-making related to land management. Numerous research efforts have leveraged remote sensing and machine learning for classifying land cover and mapping forest vegetation species. In most cases that focused on surface fuel mapping, the spatial scale of interest was smaller than a few hundred square...
Authors
Mohamad Alipour, Inga P. La Puma, Joshua J. Picotte, Kasra Shamsei, Eric Rowell, Adam Watts, Branko Kosovic, Hamed Ebrahimian, Erugrul Taciroglu

Elevation-based probabilistic mapping of irregularly flooded wetlands along the northern Gulf of Mexico coast Elevation-based probabilistic mapping of irregularly flooded wetlands along the northern Gulf of Mexico coast

Irregularly flooded wetlands are found above the mean high water tidal datum and are exposed to tides and saltwater less frequently than daily. These wetlands provide important ecosystem services, such as providing habitat for fish and wildlife, enhancing water quality, ameliorating flooding impacts, supporting coastal food webs, and protecting upslope areas from erosion. Mapping...
Authors
Nicholas Enwright, Wyatt C. Cheney, Kristine O. Evans, Hana R. Thurman, Mark S. Woodrey, Auriel M.V. Fournier, Dean B. Gesch, Jonathan L. Pitchford, Jason M. Stoker, Stephen C. Medeiros

National Land Cover Database 2019: A new strategy for creating clean leaf-on and leaf-off Landsat composite images National Land Cover Database 2019: A new strategy for creating clean leaf-on and leaf-off Landsat composite images

National Land Cover Database (NLCD) 2019 is a new epoch of national land cover products for the conterminous United States. Image quality is fundamental to the quality of any land cover product. Image preprocessing has often taken a considerable proportion of overall time and effort for this kind of national project. An approach to prepare image inputs for NLCD 2019 production was...
Authors
Suming Jin, Jon Dewitz, Patrick Danielson, Brian Granneman, Catherine Costello, Zhe Zhu
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