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Workshop on New Generation Satellite Products for Operational Fire and Smoke Applications
3rd International Smoke Symposium
April 20, 2020

The Workshop on New Generation Satellite Products for Operational Fire and Smoke Applications, held on April 20, 2020 as part of the Third International Smoke Symposium (ISS3), highlights the new generation of geostationary and polar-orbiting satellite products available to forecast, monitor, and track the impacts of wildland fires and smoke. The VIIRS sensor on the JPSS polar-orbiting satellites SNPP and NOAA-20 and the ABI sensor on the GOES-R geostationary satellites GOES-16 and GOES-17 are providing revolutionary observations of fires and aerosols with unprecedented resolution and accuracy.

The workshop features a “hands-on” segment using Python tools to work with netCDF-4 satellite data files, process satellite datasets, and visualize the data on maps to create professional-looking figures. To demonstrate the range of available satellite products of interest to the participants, there are two Python activities: ABI CONUS Aerosol Optical Depth (AOD) and VIIRS Active Fires. In this way, participants learn about both ABI and VIIRS datasets, and about both AOD and fire satellite products. After completing the Python tools tutorials, participants will have the skills necessary to work with VIIRS AOD and ABI fire/hotspot characterization datasets, even though those datasets are not explicitly covered in the workshop.

Please note that the Python code is designed to be transparent and explanatory. The tutorials are suitable for users with all levels of Python expertise, but they were written with beginners in mind. The code files document all of the steps, in sequential order, necessary to plot ABI AOD or VIIRS active fires data on maps. The code files are not designed to be stand-alone executables, and we expect that advanced users will want to write their own Python programs that may incorporate parts of the tutorial code files.

Click on the “ABI CONUS AOD Tutorial” and “VIIRS Active Fires Tutorial” tabs in the navigation bar at the left to access the Python tools, with instructions, annotation, and links to the Python Jupyter Notebook code files (.ipynb) and satellite data files.

Workshop Course Materials

For More Practice

After completing the Python tutorials, here are some ideas for things to try next, starting with easy items and becoming progressively more challenging. If you want to save any of the figures made with these suggested changes in order compare them to the original figures, don’t forget to change the saved filenames slightly so you don’t override your original figures!

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