Skip to main content
U.S. flag

An official website of the United States government

Congratulations to the 2021 CDI Awarded Projects

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 

Get Our News

These items are in the RSS feed format (Really Simple Syndication) based on categories such as topics, locations, and more. You can install and RSS reader browser extension, software, or use a third-party service to receive immediate news updates depending on the feed that you have added. If you click the feed links below, they may look strange because they are simply XML code. An RSS reader can easily read this code and push out a notification to you when something new is posted to our site.