The CDI sent out ballots for voting on October 28, with the voting open until November 13, 2020.
1756 ballots were distributed to CDI members and 157 ballots were returned.
Each voter was given 15 votes to distribute among the 36 statements of interest. Voters were allowed to assign 0-3 votes per statement.
Voting totals are shown below.
The top 27 statements have been invited back for full proposal submission).
The decisions were finalized after briefing the CDI's executive sponsors, Kevin T. Gallagher and Tim Quinn.
Point totals, USGS priorities, and CDI guiding principles (such as broad use of proposed outputs) were considered.
All Lead PIs were notified by email on December 3, 2020.
The 27 statements invited for full proposal are listed below.
|An Imagery “ID” System ... Building an “Imagery Dashboard” for rapid and efficient publication of USGS data.||Sandra Brosnahan||Woods Hole Coastal and Marine Science Center|
|Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the Southeast||Todd Hawbaker||Geosciences and Environmental Change Science Center|
|Coast Train: Massive Library of Labeled Coastal Images to Train Machine Learning for Coastal Hazards and Resources||Phillipe Wernette||Pacific Coastal and Marine Science Center|
|Making USGS/NOAA Total Water Level and Coastal Change Forecast data accessible through user-friendly interfaces||Kara Doran||St. Petersburg Coastal and Marine Science Center|
|Joining diverse data to improve fire forecasts for the western U.S.: Incorporating hot drought and intra-annual precipitation variability||Sasha Reed||Southwest Biological Science Center|
|Operationalizing ecological drought forecasts for drylands of the Western US using high performance computing||John B Bradford||Southwest Biological Science Center|
|burnrData: The North American tree-ring fire history database in R||Ellis Margolis||Fort Collins Science Center, New Mexico Landscapes Field Station|
|Integrating Satellite-Derived Shoreline Data and Predictive Models |
to Enhance Coastal Change Forecasts
|Sean Vitousek||Pacific Coastal and Marine Science Center|
|Building opportunities for data collaboration and integration across USGS’s wildland fire science||Kurtis Nelson||Earth Resources Observation and Science Center|
|Processing a new generation of hyperspectral data on the Cloud using Pangeo||Itiya Aneece||Western Geographic Science Center|
|Fire and Water - Integrating Precipitation and Fire Data into StreamStats||Theodore Barnhart||Wyoming-Montana Water Science Center|
|From reactive- to condition-based maintenance: Anomaly predictions and automated review for USGS time-series data||Matthew Cashman||Maryland-Delaware-D.C. Water Science Center|
|Modernizing sensor data workflows to leverage Internet of Things (IoT) and cloud-based technologies||Thomas Gushue||Southwest Biological Science Center|
|The Wildfire Trends Tool: a data visualization and analysis tool to facilitate land management needs and scientific inquiry||Douglas Shinneman||Forest and Rangeland Ecosystem Science Center|
|Improving forest structure mapping and regeneration prediction with multi-scale lidar observations||Birgit Peterson||Earth Resources Observation and Science Center|
|Site Prioritization Tool for Invasive Species: Integrating Diverse Spatial Data to Improve Decision Making||Janet Prevey||Fort Collins Science Center|
|Advancing Post-Fire Debris Flow Hazard Science with a Field Deployable Mapping Tool||Francis Rengers||Geologic Hazards Science Center|
|#MinutesMatter: Real-time data collection and transmission in wildfire burn scars||John Fulton||Colorado Water Science Center|
|A framework for the integration of energy life cycle data to support environmental health assessments, identify science gaps, and EarthMAP||Adam Benthem||New England Water Science Center|
|Coupled Ocean-Atmosphere-Wave-SedimentTransport (COAWST) Modeling System 2021 Training Workshop||John C Warner||Woods Hole Coastal and Marine Science Center|
|Predicting successful post-fire reforestation: scaling from data to application||Jens Stevens||Fort Collins Science Center, New Mexico Landscapes Field Station|
|GIS Clipping and Summarization Tool for Points, Lines, Polygons, and Rasters||Sue Kemp||Forest and Rangeland Ecosystem Science Center|
|Analysis and Prediction Tool for Coastal Resilience||Tara Root||Caribbean-Florida Water Science Center|
|Standardizing, aggregating and disseminating USGS wildlife genetic data for improved management and advancement of community best practices||Margaret Hunter||Wetland and Aquatic Research Center|
|Integrated Science Outreach Application for Local Stakeholders||Katharine Dahm||Office of the Rocky Mountain Regional Director|
|A modeling framework to forecast land cover change impacts on coastal wetland carbon in Louisiana||Camille L Stagg||Wetland and Aquatic Research Center|
|Integrating data to Explore Interactions, Controls, and Heterogeneity in Harmful Algal Blooms (HABS)||Liv Herdman||New York Water Science Center|
The comments this year were positive (usually we see more suggestions on how to improve) and indicative of the high quality of the statements.
Comment 1 All options were great! Wish I could have voted for all.
Comment 2 Great projects!
Comment 3 Great proposals. I wonder how a rank choice system might work in future years? Gave most points to Benthem et al. because updating the energy maps is super important and would be useful for multiple wildlife projects. Thanks for all your hard work organizing these.
Comment 4 I thought everyone did a great job of explaining their projects during the lightening talks round. And I am really pleased and delighted at the all the wildfire applications I see. So timely!
Comment 5 I tried to assign votes to proposals that were in the thread of the main themes, Fire Science and Coastal Resilience, and to ones that were focused on the data and tools, and not basic research.
Comment 6 CDI rocks!
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