One of the 16 spectoral channels on GOES-16, channel 7, 3.9 µm, detects wildfire hot spots among other things.. Listen to Ivan Csiszar, a physical scientist with the NOAA Center for Satellite Applications, discuss wildfire detection using GOES-16 in the following video:
Direct link to video
For those of you who want to dig a little deeper, I will share three CIMSS Blog entries below with images from GOES-13 and GOES-16 of wildfires. Note the higher resolution from the GOES-16 Advanced Baseline Imager. One of my Operational Meteorologist friends from the National Weather Service told me that their posts explain things very well. When looking at the imagery, it is important to note that red/yellow colors in the imagery depict high intensity fires and the black colors depict smaller fires. See the March 6th imagery of the Grass Fires in KS, OK, and TX for some good imagery of high intensity fires, recall that the Northwest Complex (KS, OK, TX) burned over 782,000 acres.
I think that the April 11th imagery is the best of the three at representing the higher resolution of GOES-16 as compared to GOES-13. The March 16 imagery depicts a smaller wildfire hotspot, you will see red/yellow colors, depicting a high intensity fire at about 5 seconds on the GOES-16 ABI image.
CIMSS Blog, April 11, 2017 Fires (prescribed burns) in Eastern KS and OK
CIMSS Blog, March 6, 2017 Grass Fires-KS, OK, TX
CIMSS Blog, March 19, 2017 GOES-16 Mesoscale Sectors: Improved monitoring of fire activity
Finally, I recently contacted NOAA Satellites and Information Services on their Facebook Page (which is very nice and I highly recommend it. I told them about the article this article, asking them if they had any videos comparing GOES-13 with GOES-16. NOAA Satellites provided this link to their animations (currently page 6 of 8 pages). You may need to scroll to find two videos, one is of GOES-16 and GOES-13 images of Grass Fires in Florida and the other is of GOES-16 and GOES-13 Comparison Punch Clouds. I did not know what a punch cloud is, so I asked one of my meteorologist friends from the National Weather Service who told me punch clouds are circular or elliptical holes in clouds that can form when supercooled water begins to freeze. Note, depending on when you are arriving at this article, it is possible that the provided link may have different images, but if you look around on different pages you should find the two referenced images.
Next up in part 5: wildfire danger in Norman in western OK (February 18, 2016) and the development of the Experimental Wildfire Detection Notification App
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
June 28: Part 4 of 8 Application of GOES-16 for wildfire detection: wildfire detection improved with GOES-16 (this article)
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
Direct link to video
For those of you who want to dig a little deeper, I will share three CIMSS Blog entries below with images from GOES-13 and GOES-16 of wildfires. Note the higher resolution from the GOES-16 Advanced Baseline Imager. One of my Operational Meteorologist friends from the National Weather Service told me that their posts explain things very well. When looking at the imagery, it is important to note that red/yellow colors in the imagery depict high intensity fires and the black colors depict smaller fires. See the March 6th imagery of the Grass Fires in KS, OK, and TX for some good imagery of high intensity fires, recall that the Northwest Complex (KS, OK, TX) burned over 782,000 acres.
I think that the April 11th imagery is the best of the three at representing the higher resolution of GOES-16 as compared to GOES-13. The March 16 imagery depicts a smaller wildfire hotspot, you will see red/yellow colors, depicting a high intensity fire at about 5 seconds on the GOES-16 ABI image.
CIMSS Blog, April 11, 2017 Fires (prescribed burns) in Eastern KS and OK
CIMSS Blog, March 6, 2017 Grass Fires-KS, OK, TX
CIMSS Blog, March 19, 2017 GOES-16 Mesoscale Sectors: Improved monitoring of fire activity
Finally, I recently contacted NOAA Satellites and Information Services on their Facebook Page (which is very nice and I highly recommend it. I told them about the article this article, asking them if they had any videos comparing GOES-13 with GOES-16. NOAA Satellites provided this link to their animations (currently page 6 of 8 pages). You may need to scroll to find two videos, one is of GOES-16 and GOES-13 images of Grass Fires in Florida and the other is of GOES-16 and GOES-13 Comparison Punch Clouds. I did not know what a punch cloud is, so I asked one of my meteorologist friends from the National Weather Service who told me punch clouds are circular or elliptical holes in clouds that can form when supercooled water begins to freeze. Note, depending on when you are arriving at this article, it is possible that the provided link may have different images, but if you look around on different pages you should find the two referenced images.
Next up in part 5: wildfire danger in Norman in western OK (February 18, 2016) and the development of the Experimental Wildfire Detection Notification App
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
June 28: Part 4 of 8 Application of GOES-16 for wildfire detection: wildfire detection improved with GOES-16 (this article)
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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