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
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