Interactive Wildland Fire Map in Python Using NASA/FIRMS Data - Hanceville, BC Example

In this episode I wanted to show you a quick sneak peek of some output from a project that I did on wildland fire. Not only did I plot data from NASA's Suomi satellite with VIIRS instruments, but I used deep learning to do a simple classification based on spread and confidence. You can see the shape of this one fire over time, and drill down to see individual fire areas each day. I trained the hotspot classification using five years of hotspot data across Canada. This video is shows a quick visualization of the results.

"We acknowledge the use of data and/or imagery from NASA's Fire Information for Resource Management System (FIRMS) (https://earthdata.nasa.gov/firms), part of NASA's Earth Observing System Data and Information System (EOSDIS)."

Disclaimer:
https://earthdata.nasa.gov/earth-observation-data/near-real-time/citation

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Видео Interactive Wildland Fire Map in Python Using NASA/FIRMS Data - Hanceville, BC Example канала Sean MacKenzie Data Engineering