Congratulations to the 2021 CDI Awarded Projects

Release Date:

The Community for Data Integration has announced thirteen proposals to be supported in FY2021. This year’s request for proposals focused on the themes of coastal resilience and fire science. 

Processing a new generation of hyperspectral data on the Cloud using Pangeo  
Aneece, Itiya -  Western Geographic Science Center 

From reactive- to condition-based maintenance: Anomaly predictions and automated review for USGS time-series data 
Cashman, Matthew - Maryland-Delaware-D.C. Water Science Center 

Making USGS/NOAA Total Water Level and Coastal Change Forecast data accessible through user-friendly interfaces 
Doran, Kara - St. Petersburg Coastal and Marine Science Center 

Modernizing sensor data workflows to leverage Internet of Things (IoT) and cloud-based technologies 
Gushue, Thomas - Southwest Biological Science Center 

Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the Southeast 
Hawbaker, Todd - Geosciences and Environmental Change Science Center 

GIS Clipping and Summarization Tool for Points, Lines, Polygons, and Rasters 
Kemp, Sue - Forest and Rangeland Ecosystem Science Center 

Delivering the North American tree-ring fire history network through a web application and an R package 
Margolis, Ellis - Fort Collins Science Center, New Mexico Landscapes Field Station 

Diverse data to improve Southwest fire forecasts: Joining novel remote sensing, post-fire dynamics, and intra-annual precipitation patterns
Reed, Sasha - Southwest Biological Science Center 

Advancing Post-Fire Debris Flow Hazard Science with a Field Deployable Mapping Tool 
Rengers, Francis - Geologic Hazards Science Center 

Development of a web-based tool for coastal water resources management 
Root, Tara - Caribbean-Florida Water Science Center 

The Wildfire Trends Tool: a data visualization and analysis tool to facilitate land management needs and scientific inquiry  
Shinneman, Douglas - Forest and Rangeland Ecosystem Science Center 

Predicting successful post-fire reforestation: scaling from data to application 
Stevens, Jens - Fort Collins Science Center, New Mexico Landscapes Field Station 

Coast Train: Massive Library of Labeled Coastal Images to Train Machine Learning for Coastal Hazards and Resources 
Wernette, Phillipe - Pacific Coastal and Marine Science Center