There is a growing amount of images from GOES-16 available on the internet. GOES-16 is undergoing testing as I write this; all of these images that you see on the internet are non-operational, preliminary data.
The three primary sources that I go to are (1) NOAA’s Satellite and Information Service , and (2) a GOES-R mission page with a data and imagery page. Third, a few months ago, a couple of my Operational Meteorologist friends from the National Weather Service suggested that I take a look at the CIMSS out of University of Wisconsin at Madison, saying that they have good information on GOES-16 and other satellites. The CIMSS has a blog with images from GOES-16 and other satellites. I have spent hours on all three sites.
Before I move to how GOES-16 can be used for wildfire detections, I want to show you a couple of examples of the differences between GOES-13 and GOES-16. On the theory that one picture (or short video) is worth a thousand words, I am steering you to two entries from the CIMSS Blog.
CIMSS Blog, April 4, 2017, lake effect clouds, GOES-13 and GOES-15 images (left and right) will look similar. The resolution in the GOES-16 image in the center will be clearer. Note the cloud you are looking at is not very big.
CIMSS Blog, April 4, 2017, fog/stratus dissipation Again, the fog and stratus in the GOES-16 image will be clearer.
List of articles in this eight part series on the Application of GOES-16 for wildfire detection
June 21: Part 1 of 8: Application of GOES-16 for wildfire detection: Introduction
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 (this article)
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 App
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 (this article)
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 App
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