Subject: Marine Geospatial Ecology Tools (MGET) help
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| From: | Tim White <> |
|---|---|
| To: | |
| Subject: | [mget-help] Re: Cayula-Cornillon Chlorophyll a fronts |
| Date: | Wed, 15 Jul 2009 21:08:47 -0400 |
Hi There,
I'm having a bit of trouble finding chlorophyll a fronts with the Cayula-Cornillon front detection algorithm in the MGET toolbox. I've processed level 2 chlr_a data to a 1k m resolution, with flags, and converted to ArcGis raster. At present, the chlr_a data are log scaled floating-point data (geophysical value), and I'm not sure how to rescale the data back to the original 32 bit unsigned integers. I assume that the unscaled integer data is the best to use with the Cayula-Cornillon front algorithm. Do you know of a formula that I can use in the Map Algebra toolbox to convert the floating-point chlr_a data back to 32-bit unsigned integer, unscaled data? The slope of the data is 1.00 and the intercept is 0.00.
Thanks for any suggestions.
Best Regards,
Tim
I'm having a bit of trouble finding chlorophyll a fronts with the Cayula-Cornillon front detection algorithm in the MGET toolbox. I've processed level 2 chlr_a data to a 1k m resolution, with flags, and converted to ArcGis raster. At present, the chlr_a data are log scaled floating-point data (geophysical value), and I'm not sure how to rescale the data back to the original 32 bit unsigned integers. I assume that the unscaled integer data is the best to use with the Cayula-Cornillon front algorithm. Do you know of a formula that I can use in the Map Algebra toolbox to convert the floating-point chlr_a data back to 32-bit unsigned integer, unscaled data? The slope of the data is 1.00 and the intercept is 0.00.
Thanks for any suggestions.
Best Regards,
Tim
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