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-------------------------------------------- Creating normalised image Satellite: NOAA Status: signal processing......................... wxtoimg: warning: couldn't find telemetry data Gain: 15.7 Gain: 15.7 rtl_fm Gain: 40

MCIR-precip: Colours the NOAA sensor 4 IR image using a map to colour the sea blue and land green. High clouds appear white, lower clouds gray or land/sea coloured, clouds generally appear lighter, but distinguishing between land/sea and low cloud may be difficult. Darker colours indicate warmer regions.
MCIR-precip: Colours the NOAA sensor 4 IR image using a map to colour the sea blue and land green. High clouds appear white, lower clouds gray or land/sea coloured, clouds generally appear lighter, but distinguishing between land/sea and low cloud may be difficult. Darker colours indicate warmer regions.
MSA: Multispectral analysis. Uses a NOAA channel 2-4 image and determines which regions are most likely to be cloud, land, or sea based on an analysis of the two images. Produces a vivid false-coloured image as a result. Note that perfect colouring is difficult to obtain, especially with low illumination angles.
MSA-precip: Same as MSA multispectral analysis, but high cold cloud tops are coloured the same as the NO enhancement to give an approximate indication of the probability and intensity of precipitation.
HVCT: Similar to HVC, but with blue water and with colours more indicative of land temperatures. HVC: Creates a false colour image from NOAA APT images based on temperature using the HVC colour model. Uses the temperature derived from the sensor 4 image to select the hue and the brightness from the histogram equalised other image to select the value and chroma. The HVC colour model attempts to ensure that different colours at the same value will appear to the eye to be the same brightness and the spacing between colours representing each degree will appear to the eye to be similar. Bright areas are completely unsaturated in this model.
therm: Produces a false colour image from NOAA APT images based on temperature. Provides a good way of visualising cloud temperatures.
Pristine output with telemetry data withut cropping. Pristine images are unenhanced, but normalised to produce images which represent, as best as the software is able to, the original digital data. No attempt is made to temperature normalise IR images. Disables gamma, sharpening, rotation, and other enhancements.
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