Regular readers of my blog will know that I have been following GOES-16 since it was launched, then known as GOES-R, on November 19, 2016. As I learned more about GOES-16 I wondered what improvements GOES-16 and her sister satellites (GOES R-T) would bring to the detection of wildfires. One exciting use of GOES-16 for wildfire detection is the development of an Experimental Wildfire Detection Notification Application that was first developed and used by the National Weather Service Weather Forecast Office in Norman Oklahoma. Learning about the Experimental Wildfire Detection Notification Application lead to this eight-part series on an application of GOES-16 for wildfire detection. This introduction is part 1 of 8, the rest of the articles in the series are listed below.
I start off in part 2 with a short article on the GOES-16 Advanced Baseline Imager, followed by two articles on improvements in wildfire detection with GOES-16. I then turn to the development and use of the Experimental Wildfire Detection Notification Applications in parts 5 through 7, followed by my own brief reflections in part 8.
As I post each article in the series, I will update this article with links to each article in the series.
June 23: Part 2 of 8: Application of GOES-16 for wildfire detection: A little about the GOES-16 Advanced Baseline Imager
June 26: Part 3 of 8 Application of GOES-16 for wildfire detection: examples of improved imagery with GOES-16
June 28: Part 4 of 8 Application of GOES-16 for wildfire detection: wildfire detection improved with GOES-16
June 30: Part 5 of 8 Application of GOES-16 for wildfire detection: February 18, 2016 wildfire danger in western OK and development of the Experimental Wildfire Detection Notification App
July 3: Part 6 of 8: Application of GOES-16 for wildfire detection: Experimental Wildfire Detection Notification App in use Spring 2017
July 5: Part 7 of 8 Application of GOES-16 for wildfire detection: Experimental Wildfire Detection Notification App making a difference
July 7: Part 8 of 8 Application of GOES-16 for wildfire detection: Reflections on using GOES-16 for wildfire detection and the Experimental Wildfire Detection Notification AppWildfire Detection Notification App
I start off in part 2 with a short article on the GOES-16 Advanced Baseline Imager, followed by two articles on improvements in wildfire detection with GOES-16. I then turn to the development and use of the Experimental Wildfire Detection Notification Applications in parts 5 through 7, followed by my own brief reflections in part 8.
As I post each article in the series, I will update this article with links to each article in the series.
June 23: Part 2 of 8: Application of GOES-16 for wildfire detection: A little about the GOES-16 Advanced Baseline Imager
June 26: Part 3 of 8 Application of GOES-16 for wildfire detection: examples of improved imagery with GOES-16
June 28: Part 4 of 8 Application of GOES-16 for wildfire detection: wildfire detection improved with GOES-16
June 30: Part 5 of 8 Application of GOES-16 for wildfire detection: February 18, 2016 wildfire danger in western OK and development of the Experimental Wildfire Detection Notification App
July 3: Part 6 of 8: Application of GOES-16 for wildfire detection: Experimental Wildfire Detection Notification App in use Spring 2017
July 5: Part 7 of 8 Application of GOES-16 for wildfire detection: Experimental Wildfire Detection Notification App making a difference
July 7: Part 8 of 8 Application of GOES-16 for wildfire detection: Reflections on using GOES-16 for wildfire detection and the Experimental Wildfire Detection Notification AppWildfire Detection Notification App
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