Publications
Collection of Publications provided or contributed by SSAR programs. Selecting an item you'll find additional information and program point of contacts.
Filter Total Items: 250
U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data
The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first century science at the USGS. The workshop agenda was d
Authors
Leslie Hsu
New operational national satellite burned area product
Introduction
Lack of consistent spatial and temporal fire information with relevant spatial resolution hinders land management and broad-scale assessments of fire activity, especially in the eastern United States and the Great Plains where fi re is important ecologically and culturally. Remote sensing can be used to monitor fi re activity, augment existing fi re data, and fill information gaps. In
Authors
Todd Hawbaker, Melanie K. Vanderhoof, Gail L. Schmidt, Yen-Ju G. Beal, Joshua J. Picotte, Joshua Takacs, Jeff T. Falgout, John L. Dwyer
USGS enterprise tools for efficient and effective management of science data
The Science Data Management Branch (SDM) of the U.S. Geological Survey (USGS) provides data management expertise and leadership and develops guidance and tools to support the USGS in providing the nation with reliable scientific information on the basis of which to describe the Earth. The SDM suite of tools supports the USGS Data Management Lifecycle by facilitating quality assurance, description,
Authors
Vivian B. Hutchison, Amanda Liford, Ricardo McClees-Funinan, Lisa Zolly, Drew Ignizio, Madison Langseth, Brandon Serna, Elizabeth Sellers, Leslie Hsu, Tamar Norkin, Marcia McNiff, Grace C. Donovan
Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States
High salinity limits groundwater use in parts of the Mississippi embayment. Machine learning was used to create spatially continuous and three‐dimensional predictions of salinity across drinking‐water aquifers in the embayment. Boosted regression tree (BRT) models, a type of machine learning, were used to predict specific conductance (SC) and chloride (Cl), and total dissolved solids (TDS) was cal
Authors
Katherine J. Knierim, James A. Kingsbury, Connor J. Haugh, Katherine Marie Ransom
Ecological forecasting—21st century science for 21st century management
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the information in forecasts to minimize the adverse ef
Authors
John B. Bradford, Jake Weltzin, Molly L. McCormick, Jill Baron, Zack Bowen, Sky Bristol, Daren Carlisle, Theresa Crimmins, Paul C. Cross, Joe DeVivo, Mike Dietze, Mary Freeman, Jason Goldberg, Mevin Hooten, Leslie Hsu, Karen Jenni, Jennifer L. Keisman, Jonathan Kennen, Kathy Lee, David P. Lesmes, Keith Loftin, Brian W. Miller, Peter S. Murdoch, Jana Newman, Karen L. Prentice, Imtiaz Rangwala, Jordan Read, Jennifer Sieracki, Helen Sofaer, Steve Thur, Gordon Toevs, Francisco Werner, C. LeAnn White, Timothy White, Mark T. Wiltermuth
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Contaminant Biology, Environmental Health Program, Science Analytics and Synthesis (SAS) Program, Eastern Ecological Science Center, Fort Collins Science Center, Kansas Water Science Center, Maryland-Delaware-D.C. Water Science Center, National Wildlife Health Center, New Jersey Water Science Center, Pacific Island Ecosystems Research Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center
Community for data integration 2018 funded project report
The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Caitlin M. Andrews, John B. Bradford, Daniel D. Buscombe, Katherine J. Chase, Wesley M. Daniel, Jeanne M. Jones, Pam Fuller, Benjamin B. Mirus, Matthew E. Neilson, Hans W. Vraga, Jessica J. Walker, Dennis H. Walworth, Jonathan Warrick, Jake Weltzin, Daniel J. Wieferich, Nathan J. Wood
Progress toward a preliminary karst depression density map for the conterminous United States
Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a ka
Authors
Daniel H. Doctor, Jeanne M. Jones, Nathan J. Wood, Jeff T. Falgout, Natalya Igorevna Rapstine
The Landsat Burned Area algorithm and products for the conterminous United States
Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. Here, we present the BA algorithm and products, changes re
Authors
Todd Hawbaker, Melanie K. Vanderhoof, Gail L. Schmidt, Yen-Ju G. Beal, Joshua J. Picotte, Joshua Takacs, Jeff T. Falgout, John L. Dwyer
Are migratory waterfowl vectors of seagrass pathogens?
Migratory waterfowl vector plant seeds and other tissues, but little attention has focused on the potential of avian vectoring of plant pathogens. Extensive meadows of eelgrass (Zostera marina) in southwest Alaska support hundreds of thousands of waterfowl during fall migration and may be susceptible to plant pathogens. We recovered DNA of organisms pathogenic to eelgrass from environmental samp
Authors
Damian M. Menning, David H. Ward, Sandy Wyllie-Echeverria, Kevin Sage, Megan C. Gravley, Hunter Gravley, Sandra L. Talbot
Community for Data Integration 2018 annual report
The Community for Data Integration (CDI) is a community of practice whose purpose is to build the U.S. Geological Survey knowledge base in data integration. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, trainings, and other CDI-sponsored events in fiscal year 2018. The report also describes the objectives of the 10 CDI-f
Authors
Leslie Hsu, Leah Colasuonno
Envisioning a national invasive species information framework
With a view toward creating a national Early Detection and Rapid Response Program (EDRR) program, the United States National Invasive Species Council Management Plan for 2016–2018 calls for a series of assessments of federal EDRR capacities, including the evaluation of “relevant federal information systems to provide the data and other information necessary for risk analyses/horizon scanning, rapi
Authors
Jamie K Reaser, Annie Simpson, Gerald Guala, Jeffrey Morisette, Pam Fuller