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
Airborne lidar accuracy analysis for dual photogrammetric and lidar sensor pilot project in Colorado, 2019
This report presents accuracy assessment results of the light detection and ranging (lidar) data collected in Colorado during a pilot project in fall 2019. The purpose of the pilot project was to assess the accuracy of lidar and imagery data collected simultaneously for the U.S. Department of Agriculture (USDA) National Agriculture Imagery Program and the U.S. Geological Survey National Geospatial
Authors
Aparajithan Sampath, Jeff Irwin, Minsu Kim
Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands
The Republic of the Marshall Islands (RMI; also known as the Marshall Islands) is a nation of more than 30 low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone over 770,000 square miles in the tropical central north Pacific Ocean. The study objectives and methods were originally presented in U.S. Geological Survey Data Report 1181 and are summarize
Authors
Gabriel B. Senay, David A. Helweg, Stefanie Kagone, Thomas Cecere, Tiare Eastmond, Amy Koch, Kurtis Nelson, Jack Randon
Projected sea-level rise and high tide flooding at Big Cypress National Preserve, Florida
IntroductionNational parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resource
Authors
Hana R. Thurman, Nicholas M. Enwright, Michael J. Osland, Davina L. Passeri, Richard H. Day, Bethanie M. Simons, Jeffrey J. Danielson, W. Matthew Cushing
NASA Champions 2024: Data strategies for when to use cloud, coding strategies for parallelization, & first examples of big science in the Cloud
From April-May 2024, the NASA Mentors who span eleven Distributed Active Archive Centers (DAACs) co-led the third Champions Cohort with the NASA Openscapes project team, this year focusing on, teaching lessons they adapted for geospatial and cloud analysis. The Cohort included nine international research teams from academia and government that were curious about working with NASA Earthdata in the
Authors
Michele Thornton, Catalina Taglialatela, Luis Lopez, Matt Fisher, Alexis Hunzinger, Mahsa Jami, Brianna M. Lind, Cassie Nickles, Andy Teucher, Aronne Merrelli, Erin Robinson, Julie Lowndes
Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification
Rangeland ecosystems in the western United States are vulnerable to climate change, fire, and anthropogenic disturbances, yet classification of rangeland areas remains difficult due to frequently sparse vegetation canopies that increase the influence of soils and senesced vegetation, the overall abundance of senesced vegetation, heterogeneity of life forms, and limited ground-based data. The Range
Authors
Matthew B. Rigge, Brett Bunde, Kory Postma, Simon Oliver, Norman Mueller
Assessing the vertical accuracy of digital elevation models by quality level and land cover
The vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area’s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of lidar-derived digital elevation models (DEMs) on a per-project basis to gauge whether the datasets meet quality and accuracy standards. Here
Authors
Minoo Han, Nicholas Enwright, Dean B. Gesch, Jason M. Stoker, Jeffrey J. Danielson, Christopher J. Amante
System characterization report on the Gaofen-6
Executive SummaryGaofen-6 represents a series of Chinese high-resolution Earth observation satellites. More than 12 satellites have been launched in the Gaofen series, beginning with Gaofen-1 in 2013. Satellites within the series have varying infrared, radar, and optical imaging capabilities. The primary goal for the satellites in this series is to provide near real-time observations for climate c
Authors
Aparajithan Sampath, Jon Christopherson, Seonkyung Park, Minsu Kim, Gregory L. Stensaas, Cody Anderson
Interdisciplinary science approach for harmful algal blooms (HABs) and algal toxins—A strategic science vision for the U.S. Geological Survey
Executive SummaryAlgal blooms in water, soils, dusts, and the environment have captured national attention because of concerns associated with exposure to algal toxins for humans and animals. Algal blooms naturally occur in all surface-water types and are important primary producers for aquatic ecosystems. However, excessive algae growth can be associated with many harmful effects ranging from aes
Authors
Victoria G. Christensen, Christopher J. Crawford, Robert J. Dusek, Michael J. Focazio, Lisa Reynolds Fogarty, Jennifer L. Graham, Celeste A. Journey, Mari E. Lee, James H. Larson, Sarah M. Stackpoole, Viviana Mazzei, Emily J. Pindilli, Barnett A. Rattner, E. Terrence Slonecker, Kristen B. McSwain, Timothy J. Reilly, Ashley E. Lopez
By
Ecosystems Mission Area, Water Resources Mission Area, Environmental Health Program, Toxic Substances Hydrology, Earth Resources Observation and Science (EROS) Center , Kansas Water Science Center, National Wildlife Health Center, New Jersey Water Science Center, New York Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Water Science Center, Landsat Missions
Joint Agency Commercial Imagery Evaluation (JACIE) best practices for remote sensing system evaluation and reporting
Executive SummaryThe Joint Agency Commercial Imagery Evaluation (JACIE) partnership consists of six agencies representing the U.S. Government’s commitment to promoting the use of high-quality remotely sensed data to meet scientific and other Federal needs. These agencies are large consumers of remotely sensed data and bring extensive experience in the assessment and use of these data. The six agen
Authors
Simon J. Cantrell, Jon B. Christopherson
ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2023
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 Cal/Val Team
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Md Nahid Hasan, Ashish Shrestha, Jerad L. Shaw, Alex Denevan, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Kurt Thome, Julia Barsi, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding
Evaluation of streamflow predictions from LSTM models in water- and energy-limited regions in the United States
The application of Long Short-Term Memory (LSTM) models for streamflow predictions has been an area of rapid development, supported by advancements in computing technology, increasing availability of spatiotemporal data, and availability of historical data that allows for training data-driven LSTM models. Several studies have focused on improving the performance of LSTM models; however, few studie
Authors
Kul Bikram Khand, Gabriel B. Senay
Concept of a satellite cross-calibration radiometer for in-orbit calibration of commercial optical satellites
The satellite Earth observation (EO) sector is burgeoning with hundreds of commercial satellites being launched each year, delivering a rich source of data that could be exploited for societal benefit. Data streams from the growing number of commercial satellites are of variable quality, limiting the potential for their combined use in science applications that need long time-series data from mult
Authors
Medhavy Thankappan, Jon Christopherson, Simon John Cantrell, Robert Ryan, Mary Pagnutti, Courtney Bright, Denis Naughton, Kathryn Lynn Ruslander, Lan-Wei Wang, David Hudson, Jerad Shaw, Shankar N. Ramaseri Chandra, Cody Anderson