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Developing a Near Real Time Monitoring System for Post Fire Vegetation Recovery for the Sierra Nevada, California

Completed TRL 6 (started at 3, targeting 6)

Description

The Post Wildfire Recovery Monitoring System will provide land managers regular systematic updates on areas that have burned by wildfire, including changes in vegetation cover, vegetation type, and cover of bare soil, for any time period that data is available. This system will integrate operational and legacy Landsat data (1984-Present) and produce land cover information at a 30-meter spatial resolutions. The system provides near real time updates with which is approximately once every 16 days. The system will be available online for no charge, providing both public and private land managers with near real time information that may be used to better identify, plan, budget for, and execute post wildfire rehabilitation projects including post wildfire harvest, reforestation, revegetation, and other erosion control activities. The system will allow to perform custom user-defined data summaries and statistics on their specific geographic area of interest by a polygon drawing tool or uploading a kml file or using pre-defined Hydrological Unit Code (HUC) watershed boundaries. Users will be able to create a personal account accessed by secure password. Special user accounts will allow to save data queries and trigger warnings when specific thresholds are exceeded. The technology we use will leverage experience of previous tool builds which include the EcoDash. By combining vegetation and bare soil cover, users will be able to determine how vegetation is recovering in watersheds with or without active management and erosion control, and which of those watersheds may be at risk to additional mass wasting, erosion, or other sedimentation.

Benefits

Use of NASA generated LANDSAT imagery

Utilization by private and public land managers who work to mitigate wildfire and manage burned landscapes within their ownership

Details

Technology areaSoftware, Modeling, Simulation, and Information Processing > Information Processing and Artificial Intelligence > Intelligent Data Understanding
ProgramSmall Business Innovation Research/Small Business Tech Transfer (SBIR/STTR)
Lead organizationSpatial Informatics Group, Pleasanton, CA
Start date2018-07-27
End date2019-02-15

Project contacts

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