LoneSky

Here is my current Python script for GOES-16 and GOES-17 satellites. If you followed the GOES Satellite Data Download tutorial and saved the file as suggested you need only change the path variable in the script. For example, if your path looks like this: E:/goes-16-data/full-disk/multi-band/2020/0415/1430/ The path variable will be this: path = 'E:/goes-16-data/full-disk/multi-band/' Do not include the YYYY/MMDD/hhmm/ part of your path; the script assumes you used this directory structure and will handle it automatically. Also don't forget the quotes and forward slash at the end!

GOES-16 and GOES-17 have no green band so one has to be created from the blue, red, and near-infrared channels. But no amount of simple blending of those channels will produce a truly accurate synthetic green band so additional processing—e.g. a look up table (LUT)—is usually necessary to further compensate. For demonstration purposes I'll be using mostly Himawari-8 imagery in this post. Himawari and GOES share the same imager with reasonably similar blue, red, and near-infrared bands. The big difference, of course, is Himawari includes a visible wavelength green filter (though at a wavelength that is not ideal for true color). GOES prioritizes a unique near-infrared filter in place of a green one. By combining blue, red, and near-infrared channels Himawari will produce approximately what GOES is capable of. This can then be compared to Himawari imagery using its RGB filters (with a little near-infrared added to boost the vegetation signal). Here is a commonly cited GOES synt...

Data from GOES-16 and GOES-17 is free and easy to obtain, especially since Brian Blaylock created an excellent interface to download the multitude of available products from these satellites. DOWNLOAD GOES DATA Start by going to the link here: http://home.chpc.utah.edu/~u0553130/Brian_Blaylock/cgi-bin/goes16_download.cgi For this tutorial we are primarily interested in full disk GOES-16 data. We will be using imagery from the same day as in the Himawari 8-tutorial but this time at 14:30 UTC. As with Himawari-8, we will download 2000-meter resolution data. The difference is all 16 available bands are contained in a single file rather than four individual files. From the Domain drop-down menu select Full Disk . From the Product menu select ABI L2 Cloud and Moisture Imagery (Multi-Band Format) . From the Date menu select 04/15/2020 . From the Hour (UTC) menu select 14 and click the Submit button. You will next be presented with option to choose the starting minute ...