Merge branch 'SatDump:master' into master

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# 124
124, also known as *Cloud RGB*, is an enhancement designed to make clouds stand out more compared to surface features, while keeping the color scheme close to nature and easy to understand even for the general public.
The name 124 comes from the usage of AVHRR channel 1 (0.862 µm) in the red position, channel 2 (0.63 µm) in the green position, and infrared channel 4 (10.8 µm) in the blue position.
### Appearance
Land appears green-bluish tinge (vegetated areas) or green-yellowish tinge (deserts), while sea appears dark purple black.
Snow and ice appear pale yellow, with melting snow having a more reddish tone
Mid and low level clouds appear yellow. Thick high level clouds appear white. Thin high-level clouds appear bluish.
### Intended usage
Meteorology (cloud detection and characterization at daytime).
### Limitations
Low level clouds, medium level clouds and snow have similar colors.
Low contrast between vegetated and desert areas.
Vegetation information is dependent on temperature.
### References
* [EUMETSAT Training Module - Cloud RGB](https://resources.eumetrain.org/data/4/461/navmenu.php?tab=5&page=1.0.0)

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3b45, also known as *Alternate false color infrared*, is a basic infrared enhancement for night time use. Compared to 543b, it swaps the 12 µm and 3.75 µm channels, providing a different appearance.
On METEOR-M, the enhancement is called 456 due to the different channel numbering.
### Appearance
Land appears in various shades of orange-gray, where more orange tinged colors indicate lower surface temperature.

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# 4/221 Merge
4/221 Merge merges the 10.4 µm infrared channel (Channel 4 on AVHRR) with the regular 221 enhancement.
It provides increased contrast when compared to the regular 221 enhancement.
### Appearance
Land appears yellow (vegetated areas) or gray (deserts), while sea appears deep blue or black.
Snow and ice appear white, including sea ice.
Clouds appear white.
Fog appears violet-white, but is hard to see.
### Intended usage
General purpose imagery at daytime.
### Limitations
Hard to determine the cloud nature.
Hard to discriminate between cirrus clouds and fog.

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543b, also known as *False color infrared*, is a basic infrared enhancement for night time use.
On METEOR-M, the enhancement is called 654 due to the different channel numbering.
### Appearance
Land appears in various shades of bluish-gray, where darker colors indicate lower surface temperature.

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# BD
This enhancement, also called *Hurricane enhancement*, uses a look-up table to highlight certain temperatures in the eye and eye wall of the storm that are known to be related to the intensity of the storm.
Dvorak (1984) developed a technique for measuring the intensity of these tropical cyclones by comparing the warmest spot within the eye and the warmest cloud top temperature within the cold cloud ring surrounding the eye. The greater that difference, the more intense the tropical cyclone.
![Dvorak](descriptions/img/Dvorak.png)
This curve facilitates those estimating tropical cyclone intensity by highlighting the differences between the eye temperature and that of the cold cloud ring by performing severe contrast stretches in both warm and cold portions of the enhancement curve.
### Appearance
Gray scale.
### Intended usage
Hurricane analysis.
### Limitations
Unsuitable for smaller tropical storms.

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# CC
This enhancement, also called *Cold climate MB* uses a look-up table to highlight specific cloud top temperatures in thunderstorm systems where there is the highest likelyhood of the strongest precipitations to be occurring. It is similar to the MB enhancement, but is modified for use over colder northern latitudes in winter.
### Appearance
Gray scale.
### Intended usage
Meteorology (thunderstorm analysis).
### Limitations
Unsuitable for warm climates (use the MD enhancement) or medium latitude climates (use the MB enhancement)

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# Cloud Underlay
This enhancement strips only the clouds from the satellite image, and applies them as a layer over a predefined map. This can help to differentiate some cloud types from land in single-band infrared imagery.
This can be used to provide daytime-like imagery even at night.
### Appearance
Clouds appear white.
Land and sea appear as specified by the map used (by default, a physical map).
### Intended usage
Aesthetical reasons, cloud analysis
### Limitations
Limited scientific value

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# Color general cloud IR
This enhancement, uses a look-up table to highlight certain temperatures in the clouds.
It greatly enhances the contrast in the land/sea regions with respect to the clouds, which are usually hard to see on pure infrared imagery.
### Appearance
Progressively thicker clouds appear in shades of yellow, then orange, and then red.
Land and sea appear in shades of blue, gray and white.
### Intended usage
Meteorology.
### Limitations
Not suitable for colder climates.

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# Day Microphysics
The Day Microphysics enhancement makes use of various shades of colors and three spectral bands in the visible and infrared ranges to enable cloud identification and analysis.
### Appearance
![Day Microphysics](descriptions/img/DayMicro.png)
### Intended usage
Meteorology (in-depth cloud analysis).
### Limitations
The large number of colors it can produce make its interpretation hard, especially for inexperienced users.
Lower clouds could be obstructed by level clouds.
### References
* [EUMETSAT Training Module - Day Microphysics](https://resources.eumetrain.org/data/4/461/print_3.htm)

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# EC
This enhancement, also called *Cool season precipitation* uses a look-up table to highlight specific cloud top temperatures where there is the highest likelyhood of the strongest precipitations, usually snow, to be occurring.
### Appearance
Gray scale.
### Intended usage
Meteorology (precipitation analysis).
### Limitations
Unsuitable for warm climates.

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# HE
This enhancement, also called *Western US*, is used principally by weather offices in the western United States.
It provides good enhancement of a wide variety of cloud types, but is somewhat complex, and may be difficult to use at first.
It enhances low and middle level clouds common along the Pacific Coast of North America in two separate gray shaderanges. The freezing level is easily determined, an advantage for aviation users concerned with icing. Step wedge regions display very cold infrared cloud top temperatures associated with thunderstorms and frontal systems in 5 degree increments down to -60 °C. Two additional "repeat gray" segments define cloud top temperatures colder than -60 °C.
### Appearance
Gray scale.
### Intended usage
Meteorology.
### Limitations
Hard to use. The HF enhancement is easier to use.

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# HF
This enhancement, also called *New western US* is used principally by weather offices in the western United States and is essentially an updated version of the HE enhancement.
It enhances low and middle level clouds common along the Pacific Coast of North America. Step wedge regions display very cold infrared cloud top temperatures associated with thunderstorms and frontal systems in 5 °C increments down to -60 °C. Two additional "repeat gray" segments define cloud top temperatures colder than -60 °C.
### Appearance
Gray scale.
### Intended usage
Meteorology.
### Limitations
No specific limitations.

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# JF
This enhancement, also called *simple sea surface/cold cloud*, is a hybrid enhancement scheme used to highlight both sea surface temperatures, and cold cloud tops associated with thunderstorms and other weather systems. It is somewhat simpler to interpret than the later JJ enhancement. The coldest portion of the enhancement (less than -33 °C) is nearly identical to the general use MB enhancement. The maximum enhancement is provided at the warm end (25 to 10 °C) to depict sea surface temperatures and warm low cloudsin tropical and sub-tropical areas.
### Appearance
Gray scale.
### Intended usage
Meteorology.
### Limitations
No specific limitations.

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# JJ
This enhancement, also called *Sea surface/cold cloud*, is used to highlight both sea surface temperatures, and cold
cloud tops associated with thunderstorms and other weather systems. Maximum enhancement is provided at the warm end (23 to 0C) to depict sea surface temperatures and low clouds. The presence of a freezing level break point is important for aviation
users interested in icing conditions. Multiple, steep, ramp enhancement ranges provide considerable detail within cold cloud tops such as thunderstorms.
### Appearance
Gray scale.
### Intended usage
Meteorology.
### Limitations
It is difficult to determine the actual temperatures with any accuracy.
Hard to use for inexperienced users (use JF instead).

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# MB
This enhancement, also called *Thunderstorm*, uses a look-up table to highlight specific cloud top temperatures in thunderstorm systems where there is the highest likelyhood of the strongest precipitations to be occurring.
### Appearance
Gray scale.
### Intended usage
Meteorology (thunderstorm analysis).
### Limitations
Unsuitable for hotter climates (use the MD enhancement) or cold, northern latitude climates (use the CC enhancement)

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# MCIR
This enhancement strips only the clouds from the satellite image, and applies them as a layer over a predefined map. This can help to differentiate some cloud types from land in single-band infrared imagery, typical of APT transmissions.
Compared to the Cloud Underlay, it tries to preserve more cloud data.
### Appearance
Clouds appear white, progressively less transparent as the cloud thickens.
Land and sea appear as specified by the map used (by default, a physical map).
### Intended usage
Cloud analysis on APT.
### Limitations
No cloud top temperatures.

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# MCIR Rain
This enhancement strips only the clouds from the satellite image, and applies them as a layer over a predefined map. This can help to differentiate some cloud types from land in single-band infrared imagery, typical of APT transmissions.
After that, it applies the NO enhancement on top.
### Appearance
Clouds with progressively higher likelyhood of precipitation, including areas that are already receiving precipitation, appear green, then yellow, then red, and finally black.
Clouds with no precipitation likelyhood are white or grayish.
Land and sea appear as specified by the map used (by default, a physical map).
### Intended usage
Cloud analysis on APT.
### Limitations
No specific limitations.

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# MD
This enhancement, also called *Warm season MB* or *Warm season thunderstorm*, enhancement is a modification of the MB enhancement scheme. It is intended for warm season use, and provides improved enhancement within the gray "step wedges" that depict "warm top" convection. An additional improvement is better delineation of warm low clouds (30 °C to 7 °C). The middle cloud range is somewhat broader than with MB, and enhancement of details is minimised.
Otherwise, it is the same as the MB enhancement.
### Appearance
Gray scale.
### Intended usage
Meteorology (thunderstorm analysis).
### Limitations
Unsuitable for colder climates or seasons (use the MB enhancement) or cold, northern latitude climates (use the CC enhancement)

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# Cloud Underlay
This enhancement strips only the clouds from the satellite image, and applies them as a layer over a predefined map. This can help to differentiate some cloud types from land in single-band visible imagery, typical of APT transmissions.
Compared to the Cloud Underlay, it tries to preserve more cloud data.
Compared to MCIR, it uses a visible channel (channels 1 or 2 on AVHRR).
### Appearance
Clouds appear white, progressively less transparent as the cloud thickens.
Land and sea appear as specified by the map used (by default, a physical map).
### Intended usage
Aesthetical reasons, cloud analysis on APT at daytime.
### Limitations
No cloud top temperatures.
Not usable at night.

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# NDVI
NDVI (Normalized Difference Vegetation Index) is a simple enhancement that enables detection of living vegetation in a particular area.
The difference of the two channels used by this enhancement (0.62 and 0.863 µm) permits the detection of the Photosynthetically Active Radiation (PAR) band, which is the radiation absorbed by the plants to perform chlorophyllian photosynthesys.
### Appearance
Water appears blue.
Land with living vegetation appears in progressively darker shades of yellow-green and then green.
Deserts appear yellow.
### Intended usage
Vegetation analysis, deforestation and desertification monitoring.
### Limitations
Cloud dependent.

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# NO
This enhancement, also (improperly) called *Rain* or *Precipitation*, uses a look-up table to highlight certain temperatures in the cloud top that correspond to a higher likelyhood of precipitations.
It also greatly enhances the contrast in the land/sea regions with respect to the clouds, which are usually hard to see on pure infrared imagery.
### Appearance
Clouds with progressively higher likelyhood of precipitation, including areas that are already receiving precipitation, appear green, then yellow, then red, and finally black.
Land and sea appear in shades of gray.
### Intended usage
Meteorology.
### Limitations
No specific limitations.

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# NOAA Natural color
NOAA Natural Color attempts to provide more lifelike imagery on NOAA satellites that typically do not transmit the 1.62 µm short wave infrared channel used by the *Natural Color* enhancement.
### Appearance
Land appears green (vegetated areas) or gray (deserts), while sea appears blue.
Clouds appear white.
Fog appears whitish-gray.
### Intended usage
General purpose imagery at daytime.
### Limitations
Hard to determine the cloud nature.
Cannot discriminate between cirrus clouds and fog.

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# Night Microphysics
The Night Microphysics enhancement makes use of various shades of colors and three spectral bands in the short wave and long wave infrared to enable night time cloud identification and analysis, including fog discrimination.
### Appearance
![Night Microphysics](descriptions/img/NightMicro.png)
### Intended usage
Meteorology (In-depth cloud and fog analysis).
### Limitations
The large number of colors it can produce make its interpretation hard, especially for inexperienced users.
Can be contaminated by solar light, for example at the terminator.
Thin radiation fog is semi-transparent, which can alter pixel colors.
The color of cloud free regions varies depending on their temperature, surface type, and the column moisture.
Seasonal and diurnal variations.
Very cold clouds show yellow noise.
### References
* [EUMETSAT Training Module - Night Microphysics](https://resources.eumetrain.org/data/4/461/navmenu.php?tab=2&page=1.0.0)

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# Sea surface temperatures
This enhancement uses a land mask to remove ground, two long wave infrared channels (10.8 and 12.4 µm) and an emissivity correction factor to provide a calibrated temperature of the sea surface.
### Appearance
Colder temperatures appear violet while warmer temperatures appear orange or red.
### Intended usage
Sea surface temperature measurements, sea water currents analysis
### Limitations
Cloud dependent.

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# Snow enhancement
This enhancement emphasizes the presence of snow.
### Appearance
Treeless land (grassland, farmland, desert) is rendered tan, snow on treeless land is white, forests without snow are light green, forests with snow are dark green with a greyish white "frosty" tinge, water is grayish blue with warmer water tending toward purple and ice cover showing up as white, low clouds are yellow, and higher clouds range from yellow through green to light blue as cloud height increases (i.e., as cloud temperature decreases).
### Intended usage
Meteorology (snowfall, sea ice and glaciers analysis).
### Limitations
Cloud dependent.
Does not usually work on NOAA POES satellites.

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# TA
The TA curve is a combination of the CA curve (warm portion) and the HD curve (colder portion).
The linear part of the curve is to improve land/water/low cloud contrast. The coldest part
of the curve is in the same temperature ranges that are used for precipitation estimates and
tropical storm classifications.
### Appearance
Gray scale.
### Intended usage
Meteorology.
### Limitations
Not suitable for cold climates.

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# Thermal Channel
Automatically selects the thermal infrared (10.8 µm) channel, and applies a color look-up table to make its interpretation easier.
This enhancement is calibrated in temperature.
### Appearance
Colder temperatures appear violet while warmer temperatures appear orange or red.
![Temperature scale](descriptions/img/AVHRRtempscale.png)
### Intended usage
General temperature analysis
### Limitations
No emissivity compensation.

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# ZA
This enhancement, also called *General IR enhancement*, uses a look-up table to increase contrast by saturating the low and high temperature regions where is typically very little information.
### Appearance
Gray scale.
### Intended usage
Meteorology.
### Limitations
No specific limitatiton.

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function init()
return 1 -- Number of channels to output
end
function process()
local d1 = 0.754
local d2 = -2.265
local adj = 0.003
for x = 0, rgb_output:width() - 1, 1 do
for y = 0, rgb_output:height() - 1, 1 do
local ch23_8 = get_calibrated_value(0, x, y, true)
local ch31_4 = get_calibrated_value(1, x, y, true)
local centerPixel = x - rgb_output:width() / 2
local theta = (centerPixel / rgb_output:width() * 98) * math.pi / 180
local d0 = 8.24 - 2.622*math.cos(theta) + 1.846 * (math.cos(theta))^2
local result = math.cos(theta)*(d0+d1*math.log(285 - ch23_8)+c2*math.log(285-ch31_4))+c3
local output = result / 300
set_img_out(0, x, y, output)
end
set_progress(x, rgb_output:width())
end
end

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-- NDVI
function init()
img_lut = image8.new()
img_lut:load_png(get_resource_path("lut/NDVI.png"))
return 3
end
function process()
for x = 0, rgb_output:width() - 1, 1 do
for y = 0, rgb_output:height() - 1, 1 do
local cch2 = get_calibrated_value(0, x, y, true)
local cch1 = get_calibrated_value(1, x, y, true)
local ndvi = (cch2-cch1)/(cch2+cch1)
local ndvi_lutval = ((ndvi-(-1))*256)/(1-(-1))+0
local lut_result[0] = img_lut:get(0 * img_lut:height() * img_lut:width() + ndvi_lutval) / 255.0
local lut_result[1] = img_lut:get(1 * img_lut:height() * img_lut:width() + ndvi_lutval) / 255.0
local lut_result[2] = img_lut:get(2 * img_lut:height() * img_lut:width() + ndvi_lutval) / 255.0
for c = 0, 2, 1 do
set_img_out(c, x, y, lut_result[c])
end
end
set_progress(x, rgb_output:width())
end
end

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},
"3a21": {
"equation": "cch3a, cch2, cch1",
"description": "descriptions/3a21.md",
"description": "descriptions/321.md",
"equalize": true,
"geo_correct": true
},
"4/221 Merge": {
"equation": "ch1 < 0.065 ? (ch4 - 0.7) * 2.66 : ch2 * 2.2 - 0.15, ch1 < 0.065 ? (ch4 - 0.7) * 2.66 : ch2 * 2.2 - 0.15, ch1 < 0.065 ? (ch4 - 0.7) * 2.66 : ch1 * 2.2 - 0.15",
"description": "descriptions/4221merge.md",
"geo_correct": true
},
"NOAA Natural Color": {
"equation": "cch2 * 0.6 + min(cch1, cch2) * 0.4, cch2, cch1",
"individual_equalize": true,
"description": "descriptions/NOAANatColor.md",
"geo_correct": true
},
"Natural Color": {
@ -504,6 +506,7 @@
"124": {
"equation": "ch1, ch2, ch4",
"individual_equalize": true,
"description": "descriptions/124.md",
"geo_correct": true,
"project": {
"width": 4096,
@ -517,22 +520,26 @@
"Thermal Channel": {
"equation": "cch4",
"apply_lut": true,
"description": "descriptions/ThermalCal.md",
"geo_correct": true
},
"Night Microphysics": {
"equation": "cch5-cch4,cch4-cch3b,cch4",
"geo_correct": true,
"description": "descriptions/NightMicro.md",
"individual_equalize": true,
"white_balance": true
},
"Day Microphysics": {
"equation": "cch1, cch3a^2.5,cch4",
"description": "descriptions/DayMicro.md",
"geo_correct": true,
"individual_equalize": true
},
"Clouds Underlay (Merge)": {
"channels": "ch4",
"lua": "scripted_compos/underlay_with_clouds.lua",
"description": "descriptions/CloudUnderlay.md",
"lua_vars": {
"minoffset": 0.4,
"scalar": 4.0,
@ -544,6 +551,7 @@
"Clouds Underlay (Isolate)": {
"channels": "ch4",
"lua": "scripted_compos/underlay_with_clouds.lua",
"description": "descriptions/CloudUnderlay.md",
"lua_vars": {
"minoffset": 0.58,
"scalar": 4.0,
@ -554,6 +562,7 @@
},
"Snow enhancement": {
"equation": "((3*ch1-ch4)/2)^1.7, ((3*ch1+ch4)/4)^1.7, (ch1-ch3a)^1.7",
"description": "descriptions/Snow.md",
"individual_equalize": true,
"white_balance": true,
"geo_correct": true,
@ -561,11 +570,13 @@
},
"NDVI (Vegetation)": {
"equation": "((cch2-cch1)/(cch2+cch1)+1)/2",
"description": "descriptions/NDVI.md",
"geo_correct": true,
"autogen": false
},
"Sea Surface Temperature": {
"channels": "cch4",
"description": "descriptions/SST.md",
"lua": "scripted_compos/sst_landmask.lua",
"lua_vars": {
"minval": 0,
@ -593,6 +604,7 @@
},
"NO enhancement": {
"lut": "lut/WXtoImg-NO_mod.png",
"description": "descriptions/NO.md",
"channels": "ch3b, ch4",
"autogen": false,
"geo_correct": true,
@ -607,11 +619,13 @@
"ZA enhancement": {
"channels": "ch3b, ch4",
"lut": "lut/WXtoImg-ZA.png",
"description": "descriptions/ZA.md",
"autogen": false,
"geo_correct": true
},
"MB enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/MB.md",
"lut": "lut/WXtoImg-MB.png",
"autogen": false,
"geo_correct": true
@ -624,54 +638,63 @@
},
"BD enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/BD.md",
"lut": "lut/WXtoImg-BD.png",
"autogen": false,
"geo_correct": true
},
"CC enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/CC.md",
"lut": "lut/WXtoImg-CC.png",
"autogen": false,
"geo_correct": true
},
"EC enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/EC.md",
"lut": "lut/WXtoImg-EC.png",
"autogen": false,
"geo_correct": true
},
"HE enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/HE.md",
"lut": "lut/WXtoImg-HE.png",
"autogen": false,
"geo_correct": true
},
"HF enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/HF.md",
"lut": "lut/WXtoImg-HF.png",
"autogen": false,
"geo_correct": true
},
"JF enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/JF.md",
"lut": "lut/WXtoImg-JF.png",
"autogen": false,
"geo_correct": true
},
"JJ enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/KJ.md",
"lut": "lut/WXtoImg-JJ.png",
"autogen": false,
"geo_correct": true
},
"TA enhancement": {
"channels": "ch3b, ch4",
"description": "descriptions/TA.md",
"lut": "lut/WXtoImg-TA.png",
"autogen": false,
"geo_correct": true
},
"Color general cloud IR": {
"channels": "cch4, cch4",
"description": "descriptions/ColorGeneralIR.md",
"lut": "lut/Multispectral.png",
"autogen": false,
"geo_correct": true,
@ -714,6 +737,7 @@
"Clouds Underlay": {
"channels": "chb",
"lua": "scripted_compos/underlay_with_clouds.lua",
"description": "descriptions/CloudUnderlay.md",
"lua_vars": {
"minoffset": 0.58,
"scalar": 4.0,
@ -725,6 +749,7 @@
"MCIR": {
"channels": "chb",
"lua": "scripted_compos/underlay_with_clouds.lua",
"description": "descriptions/MCIR.md",
"lua_vars": {
"minoffset": 0.35,
"scalar": 2.5,
@ -741,6 +766,7 @@
"MSA": {
"channels": "cha",
"lua": "scripted_compos/underlay_with_clouds.lua",
"description": "descriptions/MSA.md",
"lua_vars": {
"minoffset": 0.02,
"scalar": 2.0,
@ -757,6 +783,7 @@
"MCIR Rain": {
"channels": "cha, chb",
"lua": "scripted_compos/underlay_with_clouds_lut.lua",
"description": "descriptions/MCIR_precip.md",
"lua_vars": {
"minoffset": 0.2,
"scalar": 1.5,
@ -787,61 +814,73 @@
},
"NO enhancement": {
"lut": "lut/WXtoImg-NO_mod_APT.png",
"description": "descriptions/NO.md",
"channels": "cha, chb",
"autogen": false
},
"ZA enhancement": {
"lut": "lut/WXtoImg-ZA.png",
"description": "descriptions/ZA.md",
"channels": "cha, chb",
"autogen": false
},
"MB enhancement": {
"lut": "lut/WXtoImg-MB.png",
"description": "descriptions/MB.md",
"channels": "cha, chb",
"autogen": false
},
"MD enhancement": {
"lut": "lut/WXtoImg-MD.png",
"description": "descriptions/MD.md",
"channels": "cha, chb",
"autogen": false
},
"BD enhancement": {
"lut": "lut/WXtoImg-BD.png",
"description": "descriptions/BD.md",
"channels": "cha, chb",
"autogen": false
},
"CC enhancement": {
"lut": "lut/WXtoImg-CC.png",
"description": "descriptions/CC.md",
"channels": "cha, chb",
"autogen": false
},
"EC enhancement": {
"description": "descriptions/EC.md",
"lut": "lut/WXtoImg-EC.png",
"channels": "cha, chb",
"autogen": false
},
"HE enhancement": {
"lut": "lut/WXtoImg-HE.png",
"description": "descriptions/HE.md",
"channels": "cha, chb",
"autogen": false
},
"HF enhancement": {
"lut": "lut/WXtoImg-HF.png",
"description": "descriptions/HF.md",
"channels": "cha, chb",
"autogen": false
},
"JF enhancement": {
"lut": "lut/WXtoImg-JF.png",
"description": "descriptions/JF.md",
"channels": "cha, chb",
"autogen": false
},
"JJ enhancement": {
"lut": "lut/WXtoImg-JJ.png",
"description": "descriptions/JJ.md",
"channels": "cha, chb",
"autogen": false
},
"TA enhancement": {
"lut": "lut/WXtoImg-TA.png",
"description": "descriptions/TA.md",
"channels": "cha, chb",
"autogen": false
}
@ -941,10 +980,12 @@
"221": {
"equation": "ch2, ch2, ch1",
"geo_correct": true,
"description": "descriptions/221.md",
"equalize": true
},
"321": {
"equation": "ch3, ch2, ch1",
"description": "descriptions/321.md",
"geo_correct": true,
"project": {
"width": 4096,
@ -958,16 +999,19 @@
},
"124": {
"equation": "ch1, ch2, ch4",
"description": "descriptions/124.md",
"geo_correct": true,
"individual_equalize": true
},
"Natural Color": {
"equation": "((0.5*max(ch4,min(ch2,ch1)) + 0.5*ch2)+0.3*ch3)*0.85, ch2, ch1",
"description": "descriptions/NatColor.md",
"geo_correct": true,
"white_balance": true
},
"Thermal Channel": {
"equation": "1 - ch5",
"description": "descriptions/ThermalUncal.md",
"individual_equalize": true,
"geo_correct": true,
"project": {
@ -982,22 +1026,26 @@
},
"Day Microphysics": {
"equation": "ch1, ch4^2.5, ch5",
"description": "descriptions/DayMicro.md",
"individual_equalize": true,
"geo_correct": true
},
"Night Microphysics": {
"equation": "ch6-ch5, ch5-ch4, ch5",
"description": "descriptions/NightMicro.md",
"individual_equalize": true,
"geo_correct": true
},
"654": {
"equation": "1 - ch6, 1 - ch5, 1 - ch4",
"description": "descriptions/543b.md",
"individual_equalize": true,
"geo_correct": true,
"autogen": true
},
"456": {
"equation": "1 - ch4, 1 - ch5, 1 - ch6",
"description": "descriptions/3b45.md",
"individual_equalize": true,
"geo_correct": true,
"autogen": true
@ -1005,6 +1053,7 @@
"NO enhancement": {
"lut": "lut/WXtoImg-NO_mod_meteor.png",
"channels": "ch4, ch5",
"description": "descriptions/NO.md",
"autogen": true,
"geo_correct": true,
"individual_equalize": true,