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by redavni 853 days ago
Google Cloud and AWS host the netcdf GOES archives among others. They are all there.

https://console.cloud.google.com/marketplace/product/noaa-pu...

1 comments

I appreciate the response, this is good to know. I apologize for not being clearer but what I'm specifically looking for is the "GeoColor" full-disk imagery [0], which I don't think is archived anywhere (beyond a couple weeks worth). That imagery is generated from the raw data you linked, but sadly the code isn't publicly available.

There is a good amount of material around the techniques used to generate the GeoColor images [1][2] but understanding it well enough to implement it is a little above me.

If any HN'er can code up something like this, I'd definitely be interested in talking with them.

[0] https://www.star.nesdis.noaa.gov/GOES/fulldisk_band.php?sat=... [1] https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_C... [2] https://journals.ametsoc.org/view/journals/atot/37/3/JTECH-D...

Do you have any kind of "geospatial spreadsheet" processing software to take in raw sat datasets and an algorithm for combining bands and applying filters to create an output?

Eg: the commercial ERDAS Imagine or other products?

I do not, no. Would that help?
I imagine it would - it seems to be a modern version evolved from ERMapper of the late 1980s | early 1990s that did exactly this kind of work.

ERMapper was a program that could pipe in many raw input multi channel data files from satellite | aircraft | other sources along with an "algorithm" file that described what to do.

One part of the task is to geo mosaic and merge data from seperate files together so that per output location there is an awareness of what cells are local to that output, the cell dimensions, type of data, channel, etc.

The algorithm part is to (say) combine data from channels 3, 7, and 9 using a particular filter and to adjust (say) for rayleigh scattering.

Such programs are geospatially aware spreadsheet programs that pipe in raw data an pipe out "cooked" or processed data.

When the GeoColor scientific papers you linked talk about the filtering operations they do on channel data they very likely are not "coding" in the sense of writing C code - but constructing "algorithms" by specifying which mathematics operations to perform on input channel data and writing that out in the algorithm file*.

* Which a pre existing program (perhaps ERDAS Imagine) reads and applies to it's input data, the raw captures from the satellites.

Yes, I wrote such things 35+ years ago, no I'm not in the field today and don't have a copy of ERDAS Imagine.

I'm not sure what the state of art for open source geomosaic software is these days - something like

https://github.com/sshuair/awesome-gis

might help to wind your way into the right kinds of geopspatial forums to discuss further, get references, etc.