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.
After selecting any set of these criteria, click "Apply Filter" to view the search results.
Filter Total Items: 2524
ECCOE Landsat quarterly Calibration and Validation report—Quarter 2, 2024
Executive Summary The 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 Tea
Authors
Md Obaidul Haque, Md Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Jerad L. Shaw, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Jeff Clauson, Kurt Thome, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding
System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor
Executive Summary This report addresses system characterization of the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, an imaging spectrometer developed by the National Aeronautics and Space Administration. This report is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of
Authors
Mahesh Shrestha, Aparajithan Sampath, Minsu Kim, Seonkyung Park
System characterization report on Vision-1
Executive Summary This report addresses system characterization of the Airbus Vision-1 satellite and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational i
Authors
James C. Vrabel, Paul Bresnahan, Aparajithan Sampath, Minsu Kim, Seonkyung Park, Jeff Clauson
Advancing water security in Africa with new high-resolution discharge data
VegDischarge v1 is a comprehensive river discharge across Africa (2000–2021), produced by coupling the agro-hydrologic VegET model and the mizuRoute routing framework. Using remote sensing data and hydrological modeling, the 1-km runoff field simulated by VegET, and routed with mizuRoute, covers over 64,000 river segments in Africa. The VegET model simulates runoff based on vegetation and soil moi
Authors
Komlavi Akpoti, Naga Manohar Velpuri, Naoki Mizukami, Stefanie Kagone, Mansoor Leh, Kirubel Mekonnen, Afua Owusu, Primrose Tinonetsana, Michael Phiri, Lahiru Madushanka, Tharindu Perera, Paranamana T. Prabhath, Gabriel Edwin Lee Parrish, Gabriel B. Senay, Abdulkarim Seid
Testing spatial out-of-sample area of influence for grain forecasting models
We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context
Authors
Frank Davenport, Donghoon Lee, Shraddhanand Shukla, Greg Husak, W. Chris Funk, Michael Budde, James Rowland
Landsat geometric and radiometric calibration and characterization
The U.S. Geological Survey (USGS) 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 continual
Authors
Jerad Shaw, Cody Anderson, Mike Choate, Esad Micijevic
Earth observation remote sensing tools—Assessing systems, trends, and characteristics
With the ever-increasing number of civil and commercial remote-sensing satellite launches in recent years, the Earth Observation community needs to better understand the quality of new data products as they become available for scientific research purposes.
Authors
Simon J. Cantrell, Jeff Clauson, Cody Anderson
Joint Agency Commercial Imagery Evaluation (JACIE)
The Joint Agency Commercial Imagery Evaluation (JACIE) was formed to leverage resources from several Federal agencies for the characterization of remote sensing data and to share those results across the remote sensing community (U.S. Geological Survey, 2024).Remote sensing data and the quality of that data are vital to (1) understanding the physical world and (2) supporting the science and engine
Authors
Jeff Clauson, Cody Anderson, Jim Vrabel
A "Region-Specific Model Adaptation (RSMA)" based training data method in large-scale land cover mapping
An accurate and historical land cover monitoring dataset for Alaska could provide fundamental information for a range of studies, such as conservation habitats, biogeochemical cycles, and climate systems, in this distinctive region. This research addresses challenges associated with the extraction of training data for timely and accurate land cover classifications in Alaska over longer time period
Authors
Congcong Li, George Z. Xian, Suming Jin
ECCOE Landsat quarterly Calibration and Validation report—Quarter 1, 2024
Executive Summary The 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 Tea
Authors
Md Obaidul Haque, Md Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Jerad L. Shaw, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Jeff Clauson, Kurt Thome, Julia Barsi, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding
Mitigating disparate elevation differences between adjacent topobathymetric data models using binary code
Integrating coastal topographic and bathymetric data for creating regional seamless topobathymetric digital elevation models of the land/water interface presents a complex challenge due to the spatial and temporal gaps in data acquisitions. The Coastal National Elevation Database (CoNED) Applications Project develops topographic (land elevation) and bathymetric (water depth) regional scale digital
Authors
William M. Cushing, Dean J. Tyler
Ranking of 10 global one-arc-second DEMs reveals limitations in terrain morphology representation
At least 10 global digital elevation models (DEMs) at one-arc-second resolution now cover Earth. Comparing derived grids, like slope or curvature, preserves surface spatial relationships, and can be more important than just elevation values. Such comparisons provide more nuanced DEM rankings than just elevation root mean square error (RMSE) for a small number of points. We present three new compar
Authors
Peter L. Guth, Sebastiano Trevisani, Carlos H. Grohmann, John Lindsay, Dean B. Gesch, Laurence Hawker, Conrad Bielski