Confluence Retirement

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is scheduled for retirement on January 27th, 2023. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact myusgs@usgs.gov. Thank you for your prompt attention to this matter.

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Links go to the ScienceBase project page.

FY21

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

From reactive- to condition-based maintenance: Anomaly predictions and automated review for USGS time-series data - Cashman, Matthew

Making USGS/NOAA Total Water Level and Coastal Change Forecast data accessible through user-friendly interfaces - Doran, Kara

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

Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the Southeast - Hawbaker, Todd

GIS Clipping and Summarization Tool for Points, Lines, Polygons, and Rasters - Kemp, Sue

Delivering the North American tree-ring fire history network through a web application and an R package - Margolis, Ellis

Improving forest structure mapping andregeneration prediction with multi-scale lidar observations - Peterson, Birgit

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

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

Development of a web-based tool for coastal water resources management - Root, Tara

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

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

FY20

Building a framework to compute continuous grids of basin characteristics for the conterminous United States – Barnhart, Theodore 

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