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Natural Hazards Learning Resources
Webinars, tutorials, data recipes and more to help you work with Natural Hazards.
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Learn how to use NASA's Fire Information for Resource Management System (FIRMS) and its enhanced User Interface that provides additional services and analysis capabilities for wildfire management.
Webinar
Sept. 29, 2023
Learn how to use the GNSS-based Upper Atmospheric Realtime Disaster Information and Alert Network (GUARDIAN) ionospheric monitoring software to supplement early warning systems (EWS) detections of natural hazards such as tsunamis, volcanic eruptions, earthquakes, and geomagnetic and solar storms.
Webinar
Sept. 18, 2023
Understanding Needs to Broaden Outside Use of NASA Data for Coastal Issues (UNBOUND CI) is a multi-session virtual workshop for data practitioners involved in coastal zone management, flood risk management, sea-level rise, and subsidence issues to help make NASA Earth science data products more discoverable and suitable for addressing issues in coastal zones.
Event
Aug. 8, 2023
Join us May 3 at 2 p.m., EDT [UTC -4], to learn how to use the Lightning Dashboard at NASA's Global Hydrometeorology Resource Center Distributed Active Archive Center (GHRC DAAC) to visualize and analyze NASA's lightning data.
Webinar
April 26, 2023
Join us Jan 25 at 2 p.m., ET [UTC -5], to learn how to use the Alaska Satellite Facility's OpenSARLab to work with synthetic aperture radar (SAR) data in the cloud.
Webinar
Jan. 10, 2023
Learn how to generate a time-height plot of the measured Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) radar reflectivity through a Python plotting routine.
Data Recipe
Dec. 2, 2022
This data recipe guides the user through a Python script that enables visualization of Optical Transient Detector (OTD) lightning flash locations.
Data Recipe
Dec. 2, 2022
This data recipe instructs users on how to generate vertical time-height plots of Hurricane and Severe Storm Sentinel (HS3) Global Hawk Cloud Physics Lidar (CPL) attenuated total backscatter measurements using a Python plotting routine.
Data Recipe
Dec. 1, 2022
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