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: 262
New operational national satellite burned area product 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...
Authors
Todd Hawbaker, Melanie Vanderhoof, Gail Schmidt, Yen-Ju Beal, Joshua Picotte, Joshua Takacs, Jeff Falgout, John L. Dwyer
John Wesley Powell Center for Analysis and Synthesis Newsletter, Volume 6, Issue 1 John Wesley Powell Center for Analysis and Synthesis Newsletter, Volume 6, Issue 1
No abstract available.
Authors
Marcia McNiff
USGS enterprise tools for efficient and effective management of science data 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...
Authors
Vivian Hutchison, Amanda Liford, Ricardo McClees-Funinan, Lisa Zolly, Drew Ignizio, Madison Langseth, Brandon Serna, Elizabeth Sellers, Leslie Hsu, Tamar Norkin, Marcia McNiff, Grace Donovan
Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States 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...
Authors
Katherine Knierim, James Kingsbury, Connor J. Haugh, Katherine Ransom
Ecological forecasting—21st century science for 21st century management 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...
Authors
John Bradford, Jake Weltzin, Molly 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 Keisman, Jonathan G. Kennen, Kathy Lee, David Lesmes, Keith Loftin, Brian Miller, Peter Murdoch, Jana Newman, Karen Prentice, Imtiaz Rangwala, Jordan Read, Jennifer Sieracki, Helen Sofaer, Steve Thur, Gordon Toevs, Francisco Werner, C. White, Timothy White, Mark 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, Central Plains Water Science Center, 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 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 Andrews, John Bradford, Daniel Buscombe, Katherine Chase, Wesley Daniel, Jeanne Jones, Pam Fuller, Benjamin Mirus, Matthew Neilson, Hans Vraga, Jessica Walker, Dennis Walworth, Jonathan Warrick, Jake Weltzin, Daniel Wieferich, Nathan Wood
Progress toward a preliminary karst depression density map for the conterminous United States 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...
Authors
Daniel Doctor, Jeanne Jones, Nathan Wood, Jeff Falgout, Natalya Rapstine
The Landsat Burned Area algorithm and products for the conterminous United States 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...
Authors
Todd Hawbaker, Melanie Vanderhoof, Gail Schmidt, Yen-Ju Beal, Joshua Picotte, Joshua Takacs, Jeff Falgout, John Dwyer
Are migratory waterfowl vectors of seagrass pathogens? 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...
Authors
Damian Menning, David Ward, Sandy Wyllie-Echeverria, Kevin Sage, Megan Gravley, Hunter Gravley, Sandra Talbot
Community for Data Integration 2018 annual report 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...
Authors
Leslie Hsu, Leah Colasuonno
Envisioning a national invasive species information framework 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...
Authors
Jamie Reaser, Annie Simpson, Gerald Guala, Jeffrey Morisette, Pam Fuller
BbsAssistant: An R package for downloading and handling data and information from the North American Breeding Bird Survey BbsAssistant: An R package for downloading and handling data and information from the North American Breeding Bird Survey
This R package contains functions for downloading and munging data from the U.S. Geological Surveys North American Breeding Bird Survey (BBS) via file transfer protocol (FTP) (Pardieck, Ziolkowski Jr, Lutmerding, & Hudson, 2018; J. R. Sauer et al., 2017). This package was created to allow the user to bulk-download the BBS point count and related (e.g., route-level conditions) via FTP...
Authors
Jessica Burnett, Lyndsie Wszola, Gabriela Palomo-Munoz